(National Aeronautics and Space Administration) 122 P "•>> «C J1U.50 CSCL 05B Uucias -J4

Earth Resources NASA SP-7041 (28) AContmumg January 1981 Bibliography with Indexes 2 (NASA-SP-7041 (28) ) EABTH RESOUECES: A CONTiUUING BlbLIOGKAPHK, ISSUE 28 (National Aeronautics and Space Administration) 122 p "•>> «C J1U.50 CSCL 05B Uucias -J4

National Aeronautics and Space Administration

SHUTTLE LAUNCH -• Earth Reso ces Earth Resou sources Earth Ret Resources Earth irth Resources E; s Earth Resource irces Earth Reso PREVIOUS EARTH RESOURCE BIBLIOGRAPHIES

Remote Sensing of Earth Resources (NASA SP-7036) Earth Resources (NASA SP-7041(01)) Earth Resources (NASA SP-7041(02)) Earth Resources (NASA SP-7041(03)) Earth Resources (NASA SP-7041(04)) Earth Resources (NASA SP-7041(05)) Earth Resources (NASA SP-7041(06)) Earth Resources (NASA SP-7041(07)) Earth Resources (NASA SP-7041(08)) Earth Resources (NASA SP-7041(09)) Earth Resources (NASA SP-7041(10)) Earth Resources (NASA SP-7041(11)) Earth Resources (NASA SP-7041(12)) Earth Resources (NASA SP-7041(13)) Earth Resources (NASA SP-7041(14)) Earth Resources (NASA SP-7041(15)) Earth Resources (NASA SP-7041(16)) Earth Resources (NASA SP-7041(17)) Earth Resources (NASA SP-7041(18)) Earth Resources (NASA SP-7041(19)) Earth Resources (NASA SP-7041(20)) Earth Resources (NASA SP-7041(21)) Earth Resources (NASA SP-7041(22)) Earth Resources (NASA SP-7041(23)) Earth Resources (NASA SP-7041(24)) Earth Resources (NASA SP-7041(25)) Earth Resources (NASA SP-7041(26)) Earth Resources (NASA SP-7041(27))

This bibliography was prepared by the NASA Scientific and Technical Information Facility operated for the National Aeronautics and Space Administration by PRC Data Services Company. NASA SP-7041 (28)

EARTH RESOURCES

A Continuing Bibliography With Indexes Issue 28

A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced between October 1 and December 31.1980 in

• Scientific and Technical Aerospace Reports (STAR) • International Aerospace Abstracts (IAA).

Scientific and Technical Information Branch 1981 National Aeronautics and Space Administration Washington, DC This supplement is available as NTISUB/038/093 from the National Technical Information Service (NTIS). Springfield.. Virginia 22161 at the price of $10.50 domestic; $21.50 foreign for standing orders. Please note: Standing orders are subscriptions which do not terminate at the end of a year, as do regular subscriptions, but continue indefinitely unless specifically terminated by the subscriber. INTRODUCTION

The technical literature described in this continuing bibliography may be helpful to researchers in numerous disciplines such as agriculture and forestry, geography and cartography, geology and mining, oceanography and fishing, environmental control, and many others. Until recently it was impossible for anyone to examine more than a minute fraction of the earth's surface continuously. Now vast areas can be observed synoptically, and changes noted in both the earth's lands and waters, by sensing instrumention on orbiting spacecraft or on aircraft. This literature survey lists 436 reports, articles, and other documents announced between October 1 and December 31, 1980 in Scientific and Technical Aerospace Reports (STAR), and International Aerospace Abstracts (I A A}. The coverage includes documents related to the identification and evaluation by means of sensors in spacecraft and aircraft of vegetation, minerals, and other natural resources, and the techniques and potentialities of surveying and keeping up-to-date inventories of such riches. It encompasses studies of such natural phenomena as earthquakes, volcanoes, ocean currents, and magnetic fields; and such cultural phenomena as cities, transportation networks, and irrigation systems. Descriptions of the components and use of remote sensing and geophysical instrumentation, their subsystems, observational procedures, signature and analyses and interpretive techniques for gathering data are also included. All reports generated under NASA's Earth Resources Survey Program for the time period covered in this bibliography will also be included. The bibliography does not contain citations to documents dealing mainly with satellites or satellite equipment used in navigation or communication systems, nor with instrumentation not used aboard aerospace vehicles. The selected items are grouped in nine categories. These are listed in the Table of Contents with notes regarding the scope of each category. These categories were especially chosen for this publication, and differ from those found in STAR and IAA. Each entry consists of a standard bibliographic citation accompanied by an abstract. The citations and abstracts are reproduced exactly as they appeared originally in STAR, or IAA, including the original accession numbers from the respective announcement journals. This procedure, which saves time and money, accounts for the variation in citation appearance. Under each of the nine categories, the entries are presented in one of two groups that appear in the following order: IAA entries identified by accession number series A80-10,000 in ascending accession number order; STAR entries identified by accession number series N80-10,000 in ascending accession number order. After the abstract section, there are five indexes: subject, personal author, corporate source, contract number and report/accession number. AVAILABILITY OF CITED PUBLICATIONS

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STAR ENTRIES (N80 10OOO Series)

One or more sources from which a document announced in STAR is available to the public is ordinarily given on the last line of the citation. The most commonly indicated sources and their acronyms or abbreviations are listed below. If the publication is available from a source other than those listed, the publisher and his address will be displayed on the availability line or in combination with the corporate source line.

Avail: NTIS. Sold by the National Technical Information Service. Prices for hard copy (HC) and microfiche (MF) are indicated by a price code followed by the letters HC or MF in the STAR citation. Current values for the price codes are given in the tables on page vii.

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Ell 2450 49.50 E12 27.50 55.50 E13 30.50 61.50 EM 33.50 67.50 E15 36.50 73.50

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E99 • Write for quote N01 TABLE OF CONTENTS

Subject Categories

Abstracts in this Bibliography are grouped under the following categories: page:

01 AGRICULTURE AND FORESTRY 173 Includes crop forecasts, crop signature analysis, soil identification, disease detection, harvest estimates, range resources, timber inventory, forest fire detection, and wildlife migration patterns.

02 ENVIRONMENTAL CHANGES AND CULTURAL RESOURCES 181 Includes land use analysis, urban and metropolitan studies, environmental impact, air and water pollution, geographic information systems, and geographic analysis.

03 GEODESY AND CARTOGRAPHY 185 Includes mapping and topography.

04 GEOLOGY AND MINERAL RESOURCES 189 Includes mineral deposits, petroleum deposits, spectral properties of rocks, geological exploration, and lithology.

05 OCEANOGRAPHY AND MARINE RESOURCES 195 Includes sea-surface temperature, ocean bottom surveying imagery, drift rates, sea ice and icebergs, sea state, fish location.

06 HYDROLOGY AND WATER MANAGEMENT 201 Includes snow cover and water runoff in rivers and glaciers, saline intrusion, drainage analysis, geomorphology of river basins, land uses, and estuarine studies. ..

07 DATA PROCESSING AND DISTRIBUTION SYSTEMS 209 Includes film processing, computer technology, satellite and aircraft hardware, and imagery.

08 INSTRUMENTATION AND SENSORS 223 Includes data acquisition and camera systems and .remote sensors.

09 GENERAL 227 Includes economic analysis.

SUBJECT INDEX ". A-1 PERSONAL AUTHOR INDEX B-1 CORPORATE SOURCE INDEX C-1 CONTRACT NUMBER INDEX ,.'. D-1 REPORT/ACCESSION NUMBER INDEX E-1 TYPICAL CITATION AND ABSTRACT FROM STAR

NASA SPONSORED -AVAILABLE ON DOCUMENT MICROFICHE ->-N80-1S526*f|f Geological Survey. Reston. Va.- NASA ACCESSION 'CENTRAL ATLANTIC REGIONAL ECOLOGICAL TEST SITE: CORPORATE NUMBER A PROTOTYPE REGIONAL ENVIRONMENTAL INFORMA- TION SYSTEM. VOLUME 1 Final Report SOURCE •Robert H. Alexander. Prinicipal Investigator 26 Sep._1979 TITLE 384 p Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S D. 57198 ERTS 1_ PUBLICATION AUTHOR- -(NASA Order S-70243-AG: Proj. CARETS) DATE -IE80-10031: NASA-CR-162442) Avail: NTIS • CONTRACT HC A17/MF A01 CSCL 08F OR GRANT- The author has identified the following significant results. LANDSAT data showed the test region in 1972 to be 9% urban •AVAILABILITY and built-up land. 38% agriculture. 50% forest. 3% nonforested SOURCE REPORT wetlands, and less than 1% barren land, exclusive of water-covered NUMBER areas. A comprehensive user evaluation revealed greatest demand for high-altitude aerial photography and the detailed maps and data products that can be derived from the metropolitan areas agencies, found relatively little use for LANDSAT imagery at 1:250.000 scale and corresponding manually interpreted land use maps.

TYPICAL CITATION AND ABSTRACT FROM IAA

NASA SPONSORED -AVAILABLE ON DOCUMENT MICROFICHE AIAA ACCESSION u -A80 16427 • H Geodynamics from satellites. W. M. Kaula -• -TITLE NUMBER -(California. University, Los Angeles, Calif.). American Astronautical -«—, Society. Annual Meeting. Los Angeles. Calif.. Oct. 29-Nov.J. 1979. AUTHORS Paper 79243. 6 p. 6 ref$J3rant No. NsG 5263. "~ -AUTHOR AFFILIATION- The NASA Geodynamics Program is developing a variety of techniques in support of national programs in geodynamics, geo- • MEETING magnetics and earthquake hazard reduction. Global tectonics are to CONTRACT be observed by satellite laser tracking and radio interferometry, OR GRANT — -MEETING which will be used to measure the movements of extended (greater DATE than 200 km) regions to an accuracy of 3 cm, while for shorter distances, lasers enable a more rapid measuring of regional strain accumulation patterns than ground systems. The techniques of Doppler tracking between two satellites to measure the gravity field over the ocean is also under NASA study. J.P.8. EARTH RESOURCES A Continuing Bibliography (Issue 28)

JANUARY 1981

01 The various stages in carrying out a monocluster block unsupervised classification using Landsat MSS data are described. Procedures AGRICULTURE AND FORESTRY for carrying out these various stages were found to be far from well-established for the type of terrain being investigated, which is Include crop forecasts, crop signature analysis, soil identifi- rugged and contains many small land cover units. Two particular cation, disease detection, harvest estimates, range resources, difficulties were encountered: first, that of precise ground location timber inventory, forest fire detection, and wildlife migration of pixels; and, secondly, that of objectively evaluating the results. patterns. Ways in which these can be surmounted are suggested. (Author)

A80-47748 Soil water and plant canopy effects on remote- A80-44262 * Vegetation clutter model. F. T. Ulaby (Kansas ly measured surface temperatures. J. Cihlar (Canada Centre for University Center for Research, Inc., Lawrence, Kan.). IEEE Trans- Remote Sensing, Ottawa, Canada). International Journal of Remote actions on Antennas and Propagation, vol. AP-28, July 1980, p. Sensing, vol. 1, Apr.-June 1980, p. 167-173. 7 refs. 538-545. 14 refs. Contract No. NAS9-15421. A study was performed to assess the effects of soil water and The statistical behavior of the radar backscattering coefficient of crop canopy on apparent temperatures observed by means of remote agricultural crops is examined. The data used were obtained by the sensors, and to determine the impact of these effects on remote soil microwave active spectrometer (MAS) systems in 1975 and 1976. water monitoring. Airborne thermal scanner and apparent reflectance Based on an evaluation of the angular and spectral variation of the data (one date) and ground PRT-5 data (three.dates) were collected mean, median, and 90-percent dynamic range of the coefficient (dB) primarily over barley and other small grain canopies. Plant heights, histograms, empirical expressions describing the joint angular and cover, and available soil water for four layers in the top 20 cm were frequency dependence of the mean and median were generated for determined. Analysis of the data showed a close inverse linear each linear polarization configuration. The clutter model thus relationship between the available water and the day minus night generated covers the angular range between 0 deg (nadir) and 80 deg temperature difference for thick barley canopies (plant cover above and the frequency range between 1 GHz and 18 GHz. Decollation 90%) only. The use of apparent reflectance values in the visible of the coefficient with frequency spacing was also evaluated and region did not improve available soil water regression equations modeled. (Author) substantially. These results suggest that the available water or plant stress could only be accurately determined for thick canopies, and that the reflectance data could probably be used to identify such A80-46451 * Simulation of solar radiation absorption in canopies but would not improve regression estimates of soil water vegetation canopies. D. S. Kimes (NASA, Goddard Space Flight from remote sensing data. (Author) Center, Earth Resources Branch, Greenbelt, Md.) and J. A. Smith (Colorado State University, Fort Collins, Colo.). Applied Optics, vol. 19, Aug. 15, 1980, p. 2801-2811. 26 refs. Grant No. DAAG29-78-G- A80-49100* Separability of agricultural cover types in 0045. spectral channels and wavelength regions. R. Kumar (General Electric A solar radiation canopy absorption model, including multiple Co., Space Div., Lanham, Md.). IEEE Transactions on Geosdence scattering effects, was developed and tested for a lodgepole pine and Remote Sensing, vol. GE-18, July 1980, p. 263-267. 7 refs. (Pinus contorta) canopy. Reflectance above the canopy, spectral Research supported by the Conselho Nacional de Desenvolvimento transmittance to the ground layer, and geometric and spectral Cientfficoe Technologico; Grant No. NGL-15-005-112. measurements of canopy elements were made. Relatively large This study was a continuation of a more complete evaluation of differentials occurred in spectral absorption by canopy layers, the spectral channels as well as wavelength regions - visible, near especially in the photosynthetically active region, as a function of infrared, middle infrared, and thermal infrared - with respect to their solar zenith angle. In addition, the proportion of total global estimated probability of correct classification PC in discriminating irradiance absorbed by individual layers varied greatly as a function agricultural cover types reported previously by Kumar and Silva of solar zenith angle. However, absorption by the entire canopy (1977). Multispectral scanner data in twelve spectral channels in the system remained relatively constant. (Author) wavelength range of 0.4-11.7 microns acquired in the middle of July for three flightlines were analyzed by applying automatic pattern recognition techniques. The same analysis was performed for the A80-47744 * Unsupervised classification of MSS Landsat data acquired in the middle of August 1971, over the same three data for mapping spatially complex vegetation. J. R. G. Townshend flightlines. to investigate the effect of time on the results. The effect and C. 0. Justice (NASA, Goddard Space Flight Center, Greenbelt, of deletion of each spectral channel as well as each wavelength region Md.). (Remote Sensing Society, Annual Conference, 5th, Durham, on PC is given. Values of PC for all possible combinations of England, Dec. 18-20, 1978.t International Journal of Remote wavelength regions in the subsets of one to twelve spectral channels Sensing, vol. 1, Apr.-June 1980, p. 105-120. 15 refs. are also given. The overall values of PC were found to be greater for

173 01 AGRICULTURE AND FORESTRY

the data of the~middle'of August-than-the data of the middle of July. •Interior,- University of Nebraska, -and Nebraska -Natural-Resources (Author) Commission; Grant No. NGL-28-004-020. A methodology for using Landsat imagery for the identification A80-49136 Identifying irrigated lands using remote sens- and location of land irrigated by center-pivot irrigation systems is ing techniques: State of the Art; Proceedings of the Symposium, presented. The procedure involves the use of sets of Landsat band 5 Sioux Falls, S. Oak., November 15, 16, 1979. Symposium sponsored imagery taken separated in time by about three weeks during the by the Missouri River Basin Commission and U.S. Geological Survey. irrigation season, a zoom transfer scope and mylar base maps to Omaha, Neb., Missouri River Basin Commission, 1980. 85 p. record the locations of center pivots. Further computer processing of the data has been used to "obtain 'plots' of center-pivot irrigation Papers are presented reviewing the status of irrigated land systems and tables indicating the distribution and growth of systems identification by means of remote sensing techniques, with particular by "county for the state of Nebraska,'and has been found to be in emphasis on applications in the Missouri River Basin. Specific topics 95% agreement with current high-altitude IR photography. The include the Landsat series of remote sensing satellites, processing information obtainable can be used for models of ground-water techniques for remotely sensed data, the identification and location aquifers or resource planning. A.L.W. of land irrigated by center-pivot irrigation systems using satellite imagery, irrigation mapping in western Kansas, the Klamath River A80-49141 # The Columbia River and Tributaries Irrigation Basin of Oregon and in California using Landsat imagery, and the Withdrawals Analysis Project - Feasibility analysis and future plans. application of Landsat-derived irrigated cropland maps for water use G. E. Johnson (U.S. Geological Survey, EROS Data Center, Sioux determination in the high plains. A.L.W. Falls, S. Dak.) and T. R. Loveland. In: Identifying irrigated lands using remote sensing techniques: State of the Art; Proceedings of the Symposium, Sioux Falls, S.'Dak., November 15, 16, 1979. A80-49137 ff Overview of the Landsat system. W. H. Ander- Omaha, Neb., Missouri River Basin Commission, 1980, son (U.S. Geological Survey, EROS Data Center, Sioux Falls, S. p. 37-47. Dak,). In: Identifying irrigated lands using remote sensing tech- The Columbia River and Tributaries Irrigation Withdrawals niques: State of the Art; Proceedings of the Symposium, Sioux Falls, Analysis Project was instituted as a demonstration project to S. Dak., November 15, 16, 1979. Omaha, Neb., examine the utility of remote sensing techniques for meeting the Missouri River Basin Commission, 1980, p. 1-4. 8 refs. information requirements for estimating the water requirements for Information available from the Landsat series of earth observa- future irrigation development in the Columbia River Basin. Project tion satellites is reviewed. It is pointed out that an individual Landsat plans are for the evaluation of the irrigated agriculture of the scene records an area of 185 x 178 km and that continual coverage Umatilla and Yakima sub-basins by the manual interpretation and of most of the world is available at 18-day intervals. The Landsat digital analysis of Landsat images. A feasibility analysis has been Multispectral Scanner (MSS) and the processing of MSS data into conducted to evaluate existing land cover, soil characteristics and false-color images are discussed, and the return beam vidicon camera, slope as well as distance from water resource's as variables to be used data collection system and computer-compatible tape capabilities of in creating a composite rriap of suitability for irrigation development the Landsat satellites are indicated. Documented applications of of a small area. The analysis has effectively demonstrated the Landsat data are noted to include the production of general usefulness of a geobased information system in combination with agricultural resource maps, the selection of areas for more detailed remotely sensed data to predict the location of irrigation develop- investigation, the determination of optimal dates for larger scale ment and will be applied to the larger project study areas. A.L.W. overflights, the updating of land use and agricultural data, and the location of areas of early ephemeral forage production. A.L.W. A80-49142 * * Irrigation mapping in western Kansas using Landsat. I - Key parameters. J. Poracsky. In: Identifying irrigated A80-49139 * # A review of future remote sensing satellite lands using remote sensing techniques: State of the Art; Proceedings capabilities. M. A. Calabrese (NASA, Resource Observation Div., of the Symposium, Sioux Falls, S. Dak., November 15, 16, 1979. Washington, D.C.). In: Identifying irrigated lands using remote Omaha, Neb., Missouri River Basin Commission, sensing techniques: State of the Art; Proceedings of the Symposium, 1980, p. 48-54. 14 refs. Grant No. NGL-17-004-024. Sioux Falls, S. Dak., November 15, 16, 1979. The procedure used in the identification and mapping of Omaha, Neb., Missouri River Basin Commission, 1980, p. 17-26. irrigated lands in six counties of western Kansas is presented and key Existing, planned and future NASA capabilities in the field of considerations for the identification of irrigated lands during the remote sensing satellites are reviewed in relation to the use of remote project are discussed. The procedure involved the compilation of a sensing techniques for the identification of irrigated lands. The status field-by-field map of irrigated lands on the basis of multi-date of'trie currently operational Landsat 2 and 3 satellites is indicated, Landsat band 5 imagery, the entry of map data into a computer, and and it is noted that Landsat D is scheduled to be in operation in two the retrieval of the data in the form of maps, tables and statistics. years. The orbital configuration and instrumentation of Landsat D Comparison of the positional results of the image interpretation with are discussed, with particular attention given to the thematic mapper, statistical data for a single county was used to verify the mapping which is expected to improve capabilities for small field identifica- procedure, as accuracies of from 80-100% were obtained, depending tion and crop discrimination and classification. Future possibilities on the type of crop. Considerations relevant to the identification of are then considered, including a multi-spectral resource sampler irrigated land on the basis of remote sensing data include the form of supplying high spatial and temporal resolution data possibly based on the final data, irrigation practices in the area, the soil moisture push-broom scanning. Shuttle-maintained Landsat follow-on'mis- budget, the number and kinds of crops, the crop calendar, and the sions, a satellite to obtain high-resolution stereoscopic data, further availability of usable imagery. A.L.W. satellites providing all-weather radar capability and the Large Format Camera. A.L.W. A80-49143 ff Irrigation mapping in western Kansas using Landsat. II - Practices and problems. .T. H. L. Williams (Kansas, University, Lawrence, Kan.). In: Identifying irrigated lands using A80-49140 * # . Identifying and locating .land irrigated by remote sensing techniques: State of the Art; Proceedings of the center-pivot irrigation systems using satellite imagery. R. 0. Hoffman Symposium, Sioux Falls, S. Dak., November 15, 16, 1979. (Nebraska, University, Lincoln, Neb.). In: Identifying irrigated lands Omaha, Neb., Missouri River Basin Commission, 1980, using remote sensing techniques: State of the~Art; Proceedings of the p. 55-63. Symposium, Sioux Falls, S. Dak., November 15, 16, 1979. Refinements and alternatives to the techniques used to produce Omaha, Neb., Missouri River Basin Commission, 1980, maps of irrigated lands in six western Kansas counties on the basis of p. 31-36. 5 refs. Research supported by the U.S. Department of the multi-date Landsat band 5 imagery are discussed, and the relation

174 01 AGRICULTURE AND FORESTRY

between irrigation parameters and ground water decline is consid- A80-50900 The cartography of Chize forest through re- ered. Modifications planned to reduce interpretation time and mote sensing (La cartographie de la foret de Chize par teledetection). simplify data coding include the increase in the size of the reporting J.-M. Monget, M. Poisson (Paris, Ecole Nationale Superieure des unit and the use of a digitizer to input location coordinates into the Mines, Paris, France), and F. Verger (Ecole Normale Superieure, computer, while digital image analysis techniques may be used to Montrouge, Hauts-de-Seine, France). In: Cartographic processing and replace manual interpretation. Considerations in the selection of analysis of satellite imagery; International Conference, 3rd, Tou- interpretation techniques are discussed, with emphasis on the types louse, France, June 19-22, 1979, Proceedings. of crop data required. A model of the effects of irrigation on the Saint-Etienne, Loire, France, Edition Gedim, 1980, p. 182-190. In decline of ground water levels is then developed on the basis of the French. results of the irrigation study. A.L.W. A simple classification method for multispectral imagery has been developed using digitized ground truth data. An application to A80-49144 H Development and application of Landsat- Landsat data for forestry is discussed. (Author) derived irrigation cropland maps for water use determination in the High Plains. F. J. Heimes (U.S. Geological Survey, Denver, Colo.) and A80-50903 The use of satellite imagery for mapping - The G. P. Thelin (U.S. Geological Survey, Moffett Field, Calif.). In: study of soil moisture (Approche cartographique a partir des images Identifying irrigated lands using remote sensing techniques: State of spatiales - Connaissance du I'humidite des sols). M. C. Girard and J. the Art; Proceedings of the Symposium, Sioux Falls, S. Dak., P. Rogala (Institut National Agronomique Paris Grignon, Thiverval- November 15, 16, 1979. Omaha, Neb., Missouri Grignon, Yvelines, France). In: Cartographic processing and analysis River Basin Commission, 1980, p. 76, 77. of satellite imagery; International Conference, 3rd, Toulouse, France, June 19-22, 1979, Proceedings. Saint-Etienne, A80-49652 # Evaluation of the fire hazard of taiga forests Loire, France, Edition Gedim, 1980, p. 204-211. In French. from their thermal radio emission (Otsenka pozharnoi opasnosti The possibility of using satellite imagery for the mapping of soil taezhnykh lesov po radioteplovomu izlucheniiu). E. N. Valendik, E. moisture is examined; Landsat observations of a region of Val de K. Kisiliakhov, and A. I. Sukhinin (Akademiia Nauk SSSR, Institut Loire are considered as an example. The region was characterized: Lesai Drevesiny, Krasnoyarsk, USSR). Issledovanie Zemli iz Kos- (1) radiometrically, through the mean and type of variation, and (2) mosa, May-June 1980, p. 14-19. 9 refs. In Russian. pedologically, through ground profiles and moisture medians. The A microwave remote sensing method has been developed for use of satellite imagery for the mapping of ground water resources investigating the fire hazard of taiga forests. The seasonal dynamics available to plant life is assessed. B.J. of the microwave thermal emission intensity of forest elements is considered as a function of the moisture content of these elements. A80-51944 * Aerial color infrared photography applications The limiting brightness temperature (above which there is a fire to citriculture. C. H. Blazquez (Florida, University, Lake Alfred, hazard) is determined for an emission wavelength of 2.25 cm. B.J. Fla.) and F. W. Horn, Jr. (NASA, Kennedy Space Center, Sciences, Technology, and Applications Office, Cocoa Beach, Fla.). In: A new A80-49655 = A method for mapping soil reflectance (K era in technology; Proceedings of the Seventeenth Space Congress, voprosu o metodike sostavleniia kart otrazhatel'noi sposobnosti Cocoa Beach, Fla., April 30-Wlay 2, 1980. Cocoa pochvennogo pokrova). A. P. Tishchenko and G. I. Stepanova Beach, Fla., Canaveral Council of Technical Societies, 1980, p. 4-21 (Gosudarstvennyi Nauchno-lssledovatel'skii Tsentr Izucheniia Prirod- to 4-32. 14 refs. nykh Resursov, Moscow, USSR). Issledovanie Zemli iz Kosmosa, Results of a one-year experimental study on the use of aerial May-June 1980, p. 34-40. In Russian. color infrared photography in citrus grove management are pre- A method based on the spectral brightness coefficient has been sented. It is found that the spring season, when trees are in flush developed for the mapping of soil reflectance. As an example, soil (have young leaves), is the best season to photograph visible reflectance maps were compiled for various types and subtypes of differences between healthy and diseased trees. It is also shown that soils in the European part of the Soviet Union. Maps were compiled the best photography can be obtained with a 12-in. focal length lens. for wavelengths of 0.5-0.6 micron and 0.7-0.8 micron. B.J. The photographic scale that allowed good photo interpretation with simple inexpensive equipment was 1 in. = 330 ft. The use of a A80-50877 Inventory, mapping and evaluation of the window-overlay transparency method allowed rapid photo interpre- agricultural potential of soils - Status of studies and needs of remote tation and data recording in computer-compatible forms. Aerial color sensing (Inventaire, cartographic et evaluation des potentialites infrared photography carried out during the spring season revealed a agricoles des sols - Etat des recherches et des besoms en teledetec- more accurate status of tree condition than visual inspection. V.L. tion). B. Naert, M. Jamagne, J. Kilian, N. Leneuf, E. Servat (Institut National de la Recherche Agronomique; Institut de Recherches A80-53052 Errors incurred in estimating an area of uni- Agronomiques Tropicales et des Cultures Vivrieres; Office de la form land cover using Landsat. P. F. Crapper (Commonwealth Recherche Scientifique et Technique Outre-Mer, Paris, France). In: Scientific and Industrial Research Organization, Diy. of Land Use Cartographic processing and analysis of satellite imagery; Internation- Research, Canberra, Australia). Photogrammetric Engineering and al Conference, 3rd, Toulouse, France, June 19-22, 1979, Proceed- Remote Sensing, vol. 46, Oct. 1980, p. 1295-1301. 11 refs. ings. Saint-Etienne, Loire, France, Edition A method of estimating areas of uniform land cover using the Gedim, 1980, p. 6-13. In French. Landsat satellites is examined. It is pointed out that when the areas The utilization of aerial and spatial remote sensing techniques are small or when the boundaries are highly contorted, the relative for soil mapping and classification in France is discussed. A errors in the area estimate may be very high: 1 percent for areas of theoretical model separates the soil mapping procedure into three 132 ha, 5 percent for areas of 15 ha, and 10 percent for areas of 6 successive phases: (a) a preliminary study, (b) the actual survey, and ha. A formula has been developed for the Landsat pixel which gives (c) an analysis of the results. The relative importance of each phase is the variance of this area estimate. S.S. dependent upon the chosen scale. The application of remote sensing at four different levels with the model is emphasized: (1) the exploitation of raw data from existing references and documents, (2) A80-530S6 * Using 70-mm aerial photography to identify the preparation of various types of soil models before the actual rangeland sites. J. H. Everitt, A. H. Gerbermann, M. A. Alaniz, and survey, (3) the addition of complementary data before synthesizing R. L. Bowen (U. S. Department of Agriculture, Weslaco, Tex.). the results, and (4) the transfer and preparation of data for the final Photogrammetric Engineering and Remote Sensing, vol. 46, Oct map. The amount of remote sensing data which is needed during the 1980, p. 1339-1348. 17 refs. NASA Order S-53876-G. . procedure varies at different stages and for different scales. A.C.W. A south Texas rangeland area was used as a study site to test the

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use of microdensitometry on 70-mm color-infrared and black-and- Progress Report. Oct. 1979 - Mar. 1980 white photographs (scale 1:19,000) for distinguishing among 11 Alan H. Strahler and John E. Estes. Principal Investigators Mar. range sites (two brushland, seven grassland, two barren land) during 1980 75 p refs Original contains imagery. Original photography the winter (February), spring (May), and summer (August) of 1976. may be purchased from the EROS Data Center, Sioux Falls Color-infrared photographs were also taken at a scale of 1:42,000 for S.D. 57198 ERTS the summer date. Film optical density readings were made on one IGrant NsG-2377) color-infrared film with white light only. The best separations among (E80-10268: NASA-CR-163340) Avail: NTIS HC A04/MF A01 CSCL 088 density readings for all range sites were obtained using white light exposed on color-infrared film in the summer when vegetation was at peak foliage development Results from this study indicate that N80-29819*# Lockheed Engineering and Management Services 70-mm aerial color-infrared photography at a scale of 1:19,000 or Co., Inc.. Houston. Tex. 1:42,000 has good potential for identifying range sites in large and SAMPLING OF RECTANGULAR REGIONS inaccessible areas, and could be a useful tool for range management. George Terrell. Principal Investigator Jun. 1980 16 p refs (Author) Sponsored by NASA. USDA, Dept. of Commerce, Dept. of Interior, and Agency for International Development ERTS (Contract NAS9-15800: Proj. AgRISTARS) A80-53890 * Microwave radiometer measurements of soil (E80-10272: NASA-CR-160730: SR-LO-00460: moisture content. R. W. Newton (Texas A & M University, College LEMSCO-14806: JSC-16362) Avail: NTIS HC A02/MF A01 Station, Tex.) and J. W. Rouse, Jr. (Missouri-Columbia, University, CSCL 088 Columbia, Mo.). /£££ Transactions on Antennas and Propagation, vol. AP-28, Sept. 1980, p. 680-686. 12 refs. Contract No. NAS9- N80-29821*# Lockheed Electronics Co.. Houston, Tex. Systems 13904. and Services Div. A unique set of radiometer measurements is presented, recorded EOD SYSTEMS AND FACILITIES WORKLOAD REQUIRE- during a 1000-h day and night monitoring of irrigated fields from MENTS FORECAST fully saturated to completely dry. Radiometer measurements were W. A. Stevens and J. A. Vitellaro. Principal Investigators Apr 1977 175 p ERTS recorded at 2.8-cm (X-band) and 21.4-cm (L-band) wavelengths for a (Contract NAS9-15200) range of incident angles from nadir to 50 deg. Soil moisture and soil (E80-10277: NASA-CR-160708: LEC-10522: JSC-12881) temperature profile measurements were recorded to a depth of 15 Avail: NTIS HC A08/MF A01 CSCL 05A cm. The test site was located in east-central Texas on a clay soil (Miller clay). Three bare-surface plots were used, each having a distinctly different surface roughness. Vegetated plots were also N80-29824*# Lockheed Engineering and Management Services Co.. Inc.. Houston. Tex. measured. The data quantify the sensitivity of microwave radiometer COMPOSITION AND ASSEMBLY OF A SPECTRAL DATA measurements to soil moisture variations, the effect of surface BASE FOR CORN AND SOYBEAN MULTICROP SEG- roughness on the measurement, and the influence of surface MENTS vegetation. (Author) M. H. Trenchard. M. L. Sestak. and M. C. Kinsler, Principal Investigators Jun. 1980 338 p Sponsored by NASA, USDA. Dept. of Commerce. Dept. of Interior, and Agency for International N80-29797*# Lockheed Electronics Co., Houston. Tex. Aero- Development ERTS space Systems Div. (Contract NAS9-15800: Proj. AgRISTARS) OPERATIONAL CHANGES FOR THE KANSAS STATE (E80-10281: NASA-CR-160726: AR-10-00407: UNIVERSITY WHEAT MODEL LEMSCO-14250: JSC-13723) Avail: NTIS HC A15/MF A01 R. L Davenport. Principal Investigator Dec. 1977 30 p CSCL 20C ERTS (Contract NAS9-15200) (E80-10223: NASA-CR-160633: LEC-11393: JSC-13813) N80-30823*# Purdue Univ., Lafayette. Ind. Lab for Applications Avail: NTIS HC A03/MF A01 CSCL 02C of Remote Sensing [REMOTE SENSING RESEARCH STUDIES] Final Report. 1 Dec. 1978 30 Nov. 1979 N80 29804*# National Aeronautics and Space Administration. D. A. Landgrebe Nov. 1979 126 p refs Sponsored by Goddard Space Flight Center. Greenbelt, Md. NASA. USDA. Dept. of Commerce. Dept of Interior and Agency REMOTE SENSING OF TOTAL DRY-MATTER ACCUMULA- for International Development ERTS TION IN WINTER WHEAT (Contract NAS9-15466: Proj. AgRISTARS) Compton J. Tucker. Brent N. Holben. James H Elgin. Jr. (E80-10117: NASA-CR-160551: SR-P9-00414: (Agricultural Research Center, Beltsville, Md.). and James E LARS-120279) Avail: NTIS HC A07/MF A01 CSCL 02C McMurtrey. III. Principal Investigators (Agricultural Research Center, Beltsville. Md.) Jan. 1980 28 p refs Submitted for publication ERTS N80-30825*# Purdue Univ.. Lafayette. Ind. Lab. for Applications (£80-10235: NASA-TM-80631) Avail: NTIS of Remote Sensing. HC A03/MF A01 CSCL 02C FOREST RESOURCE INFORMATION SYSTEM. PHASE 3 The author has identified the following significant results. Quarterly Report. 1 Jan. - 31 Mar. 1980 Red and photographic-infrared spectral data collected on 21 dates R. P. Mroczynski. Principal Investigator. S. Schwingendorf. D. over the growing season with a hand-held radiometer was Freeman. C. Kozlowski. C. Smith, and C. Peterson 18 Apr. quantitatively correlated with total dry-matter accumulation in 1980 121 p Original contains imagery. Original photography winter wheat. The spectral data were found to be highly related may be purchased from the EROS Data Center, Sioux Falls. to vigor and condition of the plant canopy. Two periods of drought S.D. 57198 ERTS stress and subsequent recovery from it were readily apparent in (Contract NAS9-15325) the spectral data. Simple ratios of the spectral data compensated (E80-10242: NASA-CR-160725: LARS-CR-041880) Avail: for variations in solar intensities and, when integrated over the NTIS HC A06/MF A01 CSCL 02F growing season, explained 79% of the variation in total above- ground accumulation of dry matter. N80-30841*# Institute de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). N80-29815*# California Univ.. Santa Barbara. EVALUATING THE REFORESTED AREA FOR THE MUNICI- USE OF COLLATERAL INFORMATION TO IMPROVE PALITY OF BURI BY AUTOMATIC ANALYSIS OF LANDSAT LANDSAT CLASSIFICATION ACCURACIES Semiannual IMAGERY [AVALIACAO DE AREAS REFLORESTADAS DO

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MUNICIPIO DE BURI. ATRAVES DE ANALISE AUTOMAT AGRISTARS CROPPING PRACTICES AND CROP CHARAC- ICA DE IMAGENS DO LANDSAT] TERISTICS BASED ON 1979 ESCS OBSERVATIONS Nelson deJesusParada, Principal Investigator. David Chung Liang M. A. Wise and D. E. Pitts. Principal Investigators Apr. 1980 Lee. Redro Hernandez Filho. and Yosio Edemir Shimabukuro Dec. 448 p Sponsored by NASA. USDA. Dept. of Commerce. Dept. 1979 24 p refs In PORTUGUESE: ENGLISH summary Sponsored of Interior and Agency for International Development by NASA Original contains imagery. Original photography may (Proj. AgRISTARS) be purchased from the EROS Data Center. Sioux Falls S D (E80-10292: NASA-TM-81105: SR-JO-00438: JSC-16353) 57198 ERTS Avail: NTIS HC A19/MF A01 CSCL 02C IE80-10258. NASA-CR-163365; INPE-1635-RPE/094) Avail: NTIS HC A02/MF A01 CSCL 02F N80-30863* # Lockheed Engineering and Management Services The author has identified the following significant results. The class of reforestation (Pinus, Eucalyptus. Araucarial was Co.. Inc.. Houston. Tex. defined using iterative image analysis (1-100) and LANDSAT AN EXPLORATORY STUDY TO DEVELOP A CLUSTER- MSS data. Estimates of class area by 1-100 were compared BASED AREA ESTIMATION PROCEDURE with data supplied by the forestry institute in Sao Paulo. LANDSAT R. K. Lennington. Principal Investigator May 1980 102 p refs Sponsored by NASA. USDA. Dept. of Commerce, Dept. of channels 4 and 5 served to differentiate the Pinus. Eucalyptus, and Araucaria from the other trees. Channels 6 and 7 gave Interior and Agency for International Development ERTS best results for differentiating between the classes. A good (Contract NAS9-15800: Proj. AgRISTARS) representative spectral response was obtained for Auraucana on (E80-10295: NASA-CR-160729: SR-LO-00442: LEMSCO-14670: JSC-16358) Avail: NTIS HC A06/MF A01 these two channels. The small relative differences obtained were + 4.24% for Araucaria. -7.51% for Pinus. and -32.07% for CSCL 02C Eucalyptus. N80-30867*# Montana Univ., Missoula. Wildlife-Wildlands N80-30843*# Institute de Pesquisas Espaciais, Sao Jose dos Inst. Campos (Brazil). GRIZZLY BEAR HABITAT ANALYSIS. SECTION 3: USE OF LANDSAT DATA FOR ESTIMATING THE AREA LANDSAT 1 MULTISPECTRAL IMAGERY AND COMPUTER OF SUGAR CANE IN THE STATE OF SAO PAULO ANALYSIS OF GRIZZLY BEAR HABITAT M.S. Thesis [USO DE DADOS DO LANDSAT PARA John J. Craighead. Principal Investigator 1980 300 p refs AVALIACAO DE AREAS OCUPADAS COM CANA-DE- Sponsored by NASA Original contains color imagery. Original ACUCAR NO ESTADO DE SAO PAWLO] photography may be purchased from the EROS Data Center, Nelson deJesusParada. Principal Investiaator and Francisco Jose Sioux Falls, S.D. 57198 ERTS Mendonca Apr. 1980 83 p refs In PORTUGUESE: ENGLISH (E80-10300: NASA-CR-163382) Avail: NTIS summary Sponsored by NASA ERTS HC A13/MF A01 CSCL 06C (E80-10260: NASA-CR-163367: INPE-1713-TDL/023) Avail: NTIS HC A05/MF A01 CSCL 02C N80-30869*# Kansas State Univ.. Manhattan. Evapotranspira- tion Lab. N80-30844* # Instituto de Pesquisas Espaciais. Sao Jose dos USE OF SOIL MOISTURE INFORMATION IN YIELD Campos (Brazil). MODELS UTILIZATION OF LANDSAT DATA TO INVENTORY THE Edward Kanemasu. Arlin Feyerherm, John Hanks, Mel Keener. SUGAR CANE IN THE STATE OF SAO PAULO [UTIUZACAO Dan Lawlor. Phil Rasmussen. Harold Reetz. Keith Saxton. and DE DADOS DO LANDSAT PARA INVENTARIO DA Craig Wiegand. Principal Investigators Jul. 1980 48 p refs CANA-DE-ACUCAR DO ESTADO DE SAO PAULO] Sponsored by NASA. USDA. Dept. of Commerce. Dept. of Interior Nelson DeJesusParada. Principal Investigator. Francisco Jose and Agency for International Development ERTS Mendonca. David Chung Liang Lee, Yosio Edemir Shimabukuro, (Contract NAS9-14899: Proj. AgRISTARS) Antonio Tebaldi Tardin, Rene Antonio Novaes, and Sherry Chou (E80-10302: NASA-CR-160749; SM-MO-00462) Avail: NTIS Che Jan. 1980 18 p refs In PORTUGUESE: ENGLISH summary HC A03/MF A01 CSCL 08M Sponsored by NASA ERTS (E80-10261; NASA-CR-163368: INPE-1668-NTE/157) Avail: N80-30882^ Rocky Mountain Forest and Range Experiment NTIS HC A02/MF A01 CSCL 02C Station. Fort Collins. Colo. REMOTE SENSING OF WILD LAND RESOURCES: A N80-30847*/jf Lockheed Engineering and Management Services STATE-OF-THE-ART REVIEW Forest Service Final General Co.. Inc.. Houston. Tex. Technical Report THE INTEGRATED ANALYSIS PROCEDURE FOR IDENTIFI- Robert C. Aldrich Dec. 1979 62 p refs - - - - • CATION OF SPRING SMALL GRAINS AND BARLEY (PB80-184609: FSGTR-RM-71) Avail: NTIS R. W. Payne. Principal Investigator May 1980 20 p refs HC A04/MF A01 CSCL 14E Sponsored by NASA. USDA. Dept. of Commerce. Dept. of Interior. A review, with literature citations, of current remote and Agency for International Development ERTS sensing technology, applications, and costs for wildland resource (Contract NAS9-15800: Proj. AgRISTARS) management, including collection, interpretation, and processing (E80-10274: NASA-CR-160727: FC-LO-451: LEMSCO-14385: of data gathered through photographic and nonphotographic JSC-16360) Avail: NTIS HC A02/MF A01 CSCL 02C techniques for classification and mapping, interpretative information for specific applications, measurement of resource parameters, and observations and counts of occurrences is presented. N80-30851*# Pan American Univ.. Edinburg. Tex. Dept. of GRA Physical Science. LIGHT REFLECTANCE. TRANSMITTANCE. AND UTILIZA- N80-32805*# Florida Univ.. Gainesville. Inst. of Food and TION WITHIN A VEGETATIVE CANOPY Final Report. 1 Oct. 1978 - 30 Sep. 1979 Agricultural Sciences. EVALUATION OF REMOTE SENSING TECHNIQUES ON E. W. LeMaster and J. E. Chance. Principal Investigators Apr 1980 39 p refs ERTS SELECTED FOREST SITES IN FLORIDA Final Report (Grant NsG-9015) L. G. Arvanitis. R. Reich, and R. Newburne, Principal Investigators Feb. 1980 127 p refs Original contains color imagery. Original (£80-10282: NASA-CR-163347) Avail: NTIS photography may be purchased from the EROS Data Center. HC A03/MF A01 CSCL 20F Sioux Falls. S.'D. 57198 ERTS (Contract NAS10-9466) N80-30860*# National Aeronautics and Space Administration. (E80-10296: NASA-CR-154635) Avail: NTIS Lyndon B. Johnson Space Center. Houston. Tex. HC A07/MF A01 CSCL 08B

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N80-32809*# Environmental Research Inst. of Michigan, Ann APPLIED REMOTE SENSING PROGRAM (ARSP) Annual Arbor. Infrared and Optics Div. Report, 1979 1980 AN ALGORITHM FOR ESTIMATING CROP CALENDAR Jack D. Johnson. Charles F. Hutchinson. David A. Mouat. Principal SHIFTS OF SPRING SMALL GRAINS USING LANOSAT Investigators, Robert A. Schowengerdt. Linda S. Leigh. Michael SPECTRAL DATA C. Parton, Karen L. Reichardt. Charles H. Sauerwein. and Peter Eric P. Crist and William A. Malila, Principal Investigators Jun. L. Warren Jul. 1980 87 p Original contains imagery. Original 1980 40 p refs Sponsored by NASA. USDA. Dept. of Commerce. photography may be purchased from the EROS Data Center Dept. of Interior, and Agency for International Development Sioux Falls. S.D. 57198 ERTS ERTS (Grant NGL-03-002-313) (Contract NAS9-15476: Proj. AgRISTARS) (E80-10330: NASA-CR-163416) Avail: NTIS (E80-10314: NASA-CR-160762; ERIM-132400-41-T; HC A05/MF A01 CSCL 088 SR-EO-00459) Avail: NTIS HC A03/MF A01 CSCL 02C N80 32822*# National Aeronautics and Space Administration. N80-32815*# California Univ.. Berkeley. Space Sciences Ames Research Center. Moffett Field. Calif. INFRARED-TEMPERATURE VARIABILITY IN A LARGE Lab. IRRIGATED LANDS ASSESSMENT FOR WATER MANAGE- AGRICULTURAL FIELD MENT APPLICATIONS PILOT TEST (APT) Final Report John P. Millard. Robert C. Goettelman (LFE Corp.. Richmond, Robert N. Colwell. John E. Estes. and Larry Tinney. Principal Calif.), and Mary L. LeRoy, Principal Investigators Aug. 1980 Investigators 31 Jan. 1980 156 p refs Original contains 26 p refs Submitted for publication Original contains imagery. imagery. Original photography may be purchased from the EROS Original photography may be purchased from the EROS Data Data Center. Sioux Falls. S.D. 57198 ERTS Center, Sioux Falls. S.D. 57198 ERTS (Grant NsG-2207) (E80-10331: NASA-TM-81222: A-8283) Avail: NTIS (E80-10324. NASA-CR-163404: SSL-Ser-21-lssue-S! Avail. HC A03/MF A01 CSCL 02C NTIS HC A08/MF A01 CSCL 08H The combined effect of water carved gullies, varying soil color, moisture state of the soil and crop, nonuniform phenology, and bare spots was measured for commercially grown barley N80-32818*# California Univ.. Berkeley. Space Sciences planted on varying terrain. For all but the most rugged terrain, Lab. over 80% of the area within 4. 16. 65. and 259 ha cells was DEVELOPMENT OF Al PROCEDURES FOR DEALING WITH at temperatures within 3 C of the mean cell temperature. The THE EFFECTS OF EPISODAL EVENTS ON CROP TEMPORAL result of using relatively small. 4 ha instantaneous field of views SPECTRAL RESPONSE AND DEVELOPMENT OF Al for remote sensing applications is that either the worst or the GUIDELINES FOR CORN AND SOYBEAN LABELING Annual best of conditions is often observed. There appears to be no Progress Report. 15 Nov. 1978 - 14 Nov. 1979 great advantage in utilizing a small instantaneous field of view Robert N. Colwell. Principal Investigator Nov. 1979 193 p instead of a large one for remote sensing of crop canopy refs Sponsored by NASA. USDA. Dept. of Commerce. Dept. of temperatures. The two alternatives for design purposes are then Interior, and Agency for International Development Original either a very high spatial resolution, of the order of a meter or contains color imagery Original photography may be purchased so, where the field is very accurately temperature mapped, or a from the EROS Data Center. Sioux Falls. S. D. 57198 ERTS low resolution, where the actual size seems to make little (Contract NAS9-14565: Proj. AgRISTARS) difference. (E80-10327: NASA-CR-1 60733: SSL-Ser-20-lssue-44: SR-B9-00434) Avail: NTIS HC A09/MF A01 CSCL 02C N80-32823*# Joint Research Centre of the European Communi- ties. Ispra (Italy). HCMM SATELLITE FOLLOW-ON INVESTIGATION NO. 026: N80-32819*# National Aeronautics and Space Administration. SOIL MOISTURE AND HEAT BUDGET EVALUATION IN Goddard Space Flight Center. Greenbelt. Md. SELECTED EUROPEAN ZONES OF AGRICULTURAL AND USING LAND SAT DIGITAL DATA FOR ESTIMATING GREEN ENVIRONMENTAL INTEREST (TELLUS PROJECT) Progress BIOMASS Report. 1 Sep. 1979 - 31 Mar. 1980 D. W Deering and Robert H Haas. Principal Investigators (Texas S. Galli deParatesi. Principal Investigator 31 Mar. 1980 63 p A and M Univ., College Station) Jun. 1980 26 p refs Presented refs Sponsored by NASA HCMM at the 30th Ann. Meeting of the Soc. for Range Management (Proj. TELLUS) Symp. on Rangeland Remote Sensing. Portland. Oreg.. 17 Feb. (E80-10332: NASA-CR-163539: PR-2) Avail: NTIS 1977 Submitted for publication Original contains imagery. HC A04/MF A01 CSCL 08M Original photography may be purchased from the EROS Data Center. Sioux Falls. S.D. 57198 ERTS N80-32824*# Joint Research Centre of the European Communi- (E80-10328: NASA-TM-80727) Avail: NTIS ties. Ispra (Italy). HC A03/MF A01 CSCL 06C FURTHER DEVELOPMENTS OF THE TELLUS MODEL 1: The author has identified the follwoing significant results. AN IMPLICIT FINITE DIFFERENCE SCHEME FOR THE Relationships between the quantity of mixed prairie rangelenad NUMERICAL APPROXIMATION OF THE GROUND HEAT vegetation and LANDSAT MSS response were studied during FLUX. 2. A SIMPLE ALGORITHM FOR ESTIMATING THE four growing seasons at test sites throughout the United States ACTUAL AND POTENTIAL EVAPOTRANSPIRATION OF Great Plans region. A LANDSAT derived parameter, the normalized VEGETATED SURFACES FROM ONE REMOTELY SENSED difference was developed from theoretical considerations fro SURFACE TEMPERATURE NEAR THE DAILY MAXIMUM statistical estimation of the amount and seasonal condition of J. Huygen. Principal Investigator Nov. 1979 19 p refs rangeland vegetation. This parameter was tested for application Sponsored by NASA HCMM to local assessment of green forage biomass and regional (Proj. TELLUS) monitoring of range feed conditions and drought. Results show (E80-10333: NASA-CR-163540) Avail: NTIS that for grasslands in the Great Plains with near continuous HC A02/MF A01 CSCL 058 vegetative cover and free of heavy brush and forbs. the LANDSAT digital data can provide a useful estimate of the quantity of green forage biomass (within 250 kg/ha), and at least five levels N 80-32830* # Martin Marietta Aerospace. Denver. Colo. of pasture and range feed conditions can be adequately mapped THE APPLICABILITY OF REMOTE SENSING TO EARTH for extended regions. BIOLOGICAL PROBLEMS. PART 2: THE POTENTIAL OF REMOTE SENSING IN PEST MANAGEMENT Final Report J. T. Polhemus Aug. 1980 41 p refs 2 Vol. N80-32821*# Arizona Univ.. Tucson. Office of Arid Lands (Contract NAS9-15918) Studies. (NASA-CR-163589: M CR-80-610-pt-2: FR-2-Pt-2) Avail:

178 01 AGRICULTURE AND FORESTRY

NTIS HC A03/MF A01 CSCL 06C classification accuracy is 94.31 percent for pine and ranges Five troublesome insect pest groups were chosen for study. from 67.23 to 92.30 percent for eucalypt. S.F. These represent a broad spectrum of life cycles, ecological indicators, pest management strategies, and remote sensing requirements. Background data, and field study results for each N80-33828 Texas A&M Univ.. College Station. of these subjects is discussed for each insect group. Specific DEVELOPMENT OF A SOIL MOISTURE MODEL FOR USE groups studied include tsetse flies, locusts, western rangeland WITH PASSIVE MICROWAVE REMOTE SENSORS grasshoppers, range caterpillars, and mosquitoes. It is concluded Ph.D. Thesis that remote sensing methods are aplicable to the pest management Walter Charles Bausch 1980 185 p of the insect groups studied. J.M.S. Avail: Univ. Microfilms Order No. 8023014 Soil moisture profiles were simulated for a hypothetical loamlike soil with a water and heat balance model. Expected N80-32833# Institute de Pesquisas Espaciais. Sao Jose dos X-band and L-band radiometer response to these conditions were Campos (Brazil). simulated by a radiative transfer model. From these simulations, PLANNING AND EXECUTION OF A PHOTOGRAPHIC a model was developed to estimate soil water content in two MISSION OVER A WHEAT PRODUCING REGION IN RIO layers of a 1.5 m soil profile. This model was tested with GRANDE DO SUL. BRAZIL measurements of soil water content and soil temperature collected Paulo Cesar Gurgel deAlbuquerque and Dal Arthur Cottrell Jun. during the four seasons of the year in a sandy loam soil contained 1980 11 p in an array of lysimeters. X-band and L-band emissivities required (INPE-1793-RPE/165) Avail: NTIS HC A02/MF A01 in the predictor equations were calculated by the radiative A wheat survey program was completed with the execution transfer model from measured soil moisture and soil temperature of a photographic mission during the booting growth stage of data. The technique developed from simulated results to classify wheat. Three 20 km. by 40 km. target areas in Rio Grande do inverted soil moisture profiles was found to be seasonally Sul were flown after cost/time saving changes in aircraft, oxygen dependent. It was also found that the second layer algorithm requirements, geometric parameters and base of operations. A showed seasonal dependence. Predictions of soil water content WILD RC-10 metric camera with WRATTEN filter was used to in the top 21 cm of the soil profile from L-band emissivity expose color IR film to produce 1:20,000 scale transparencies calculated by the radiative transfer model occasionally conformed and semicontrolled mosaics for hectareage estimations and data with measured soil water content. Dissert. Abstr. integration with hardware for CCT analyses. R.K.G. N80-33829*# Freiburg Univ. (West Germany). Geographisches Inst. THE INFLUENCE OF TOPOGRAPHIC STRUCTURES ON N80 32835$ Institute de Pesquisas Espaciais, Sao Jose dos NIGHT-TIME SURFACE TEMPERATURES: EVALUATION Campos (Brazil). OF A SATELLITE THERMAL IMAGE OF THE UPPER RHINE CHARACTERIZATION OF CERRADO VEGETATION USING PLAIN AND THE SURROUNDING HIGHLANDS AUTOMATICALLY CLASSIFIED LAND SAT MSS DATA Hermann Gossmann. Principal Investigator Ispra. Italy Joint Joao Roberto Dos Santos, Vitor Celso DeCarvalho, and Hideyo Research Centre of the European Communities Jun. 1980 Aoki (Sao Paulo Univ.l Jun. 1980 13 p refs Presented at 63 p refs In GERMAN: ENGLISH summary Sponsored by the 14th Intern. Symp. on Remote Sensing of Environ.. San NASA Original contains imagery. Original imagery may be Jose. Costa Rica. 23-30 Apr. 1980 purchased from NASA Goddard Space Flight Center, (code 601). (INPE-1790-RPE/162) Avail: NTIS HC A02/MF A01 Greenbelt. Md. 20771. Domestic users send orders to 'Attn: The characterization of physiognomic unities of cerrado National Space Science Data Center': non-domestic users send vegetation through automatic IMAGE 100 analysis of LANDSAT orders to 'Attn: World Data Center A for Rockets and Satellites'. MSS data was studied. The separability of the unities analyzed HCMM was verified (cerrado. campo cerrado, campo sujo) from respective (E80-10228: NASA-CR-163543) Avail: NTIS spectral signatures obtained using a MAXVER and a JM distances HC A04/MF A01 CSCL 05B algorithm. A correlation analysis of correctly classified values The author has identified the following significant results. was performed. The results obtained include the following: (1) the Satellite data supplied the same information as aerial IR use of four channels together presented the best class separation, registrations with corresponding averaging for all studies requiring independent of season: (2) in considering the use of isolated a survey of the thermal pattern within an area measuring 10 km channels, channel 5 provided the largest percent correct x 10 km or more, provided that sufficiently precise control classification: and (3) the highest separability was observed points could be established for the purpose of geometric between cerrado and campo sujo forms. It is concluded that rectification in the surroundings of the area observed. Satellite the separability of physiognomic unities can contribute to studies thermal data are more comprehensive than aircraft data for studies for the rational use of cerrado areas. R.K.G. on a regional, rather than a local scale, since airborne images often obscure the basic correlation in thermal patterns because of a variety of irrelevant topographical detail. The satellite data N80-32836# Institute de Pesquisas Espaciais, Sao Jose dos demonstrate the dependence of surface temperature on relief Campos (Brazil). more clearly than comparable airborne imagery. THE USE OF LANDSAT DATA FOR EVALUATION AND CHARACTERIZATION OF DEFORESTED PASTURELAND AND REFORESTED AREAS IN BRAZIL N80-33835*# Purdue Univ.. Lafayette, Ind. Lab. for Applications Pedro Hernandez Filho. Armando Pacheco Dossantos, Evlyn Marcia of Remote Sensing. Leao DeMoraesNovo, Yosio Edemir Shimabukuro. Valdete Duarte, A MODEL OF PLANT CANOPY POLARIZATION RE- Jose Simeao deMedeiros, Eduardo Carlos Mignone Alves. and SPONSE Carlito Chefer deSantana Jun. 1980 9 p refs Presented at V. C. Vanderbilt. Principal Investigator 1980 11 p refs Presented the 14th Intern. Symp. on Remote Sensing of Environ., San at the 1980 Machine Process, of Remotely Sensed Data Symp. Jose. Costa Rica. 23-30 Apr. 1980 Prepared in cooperation ERTS with Brazilian Inst. for Forest Development. Sao Jose dos (E80-10336; NASA-CR-163444) Avail: NTIS Campos HC A02/MF A01 CSCL 20F (INPE-1794-RPE/166) Avail: NTIS HC A02/MF A01 The compatibility of using LANDSAT data for pastureland and reforestation studies was studied. The degradation of N80-33839# Institute de Pesquisas Espaciais. Sao Jose dos pastureland after deforestation was identified automatically using Campos (Brazil). Dept. of Remote Sensing. four indicators: the percentages of exposed soil, lateritic soil. THE USE OF RADIATION TEMPERATURE TO DETECT types of juquira and Gramineae species. Pine and eucalypt WATER-STRESS IN SUGARCANE CROP M.S. Thesis [O plantations were identified manually and automatically. The USO DA TEMPERATURA DE RADIACAO PARA DETECTAR

179 01 AGRICULTURE AND FORESTRY

O ESTRESSSE DE AGUADA CULTURA DA CANA-DE- ACUCAR] Liane Antunes Maciel Lucht Jun 1980 156 p refs In PORTUGUESE: ENGLISH summary Revised (INPE-1767-TDL/028) Avail: NTIS HC A08/MF A01 A 36m by 150m section of a 150m by 150m plot in which sugar cane was planted was irrigated periodically over a 4 month period to maintain optimum water level. Field measurements of radiation temperature, soil moisture, and plant water content taken at different times of the year were used to determine a relationship between the radiation temperature (which can be remotely determined), and the soil water content. A heat transfer model for the plant was used to extrapolate the temperature for the complete range of possible values of soil water potential. From the results obtained it is concluded that, in the case of sugar cane, the differences in temperature due to water stress are not so accentuated as in the case of wheat and cotton. The relationship between plant temperature and soil water content show the existence of four distinct regions. An aerial thermal scanner was used to obtain infrared images of the field plot. The contrast between irrigated and nonirrigated images areas leads to a difference of 1 deg C in temperature, which is in close agreement with predictions. A.R.H.

N80-33841# Institute de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). THERMAL BALANCE OF SOILS [BALANCO TERMICO DE SOLOS] L M. Moreira-Nordemann and L. A. Maciel Lucht Aug. 1980 21 p refs In PORTUGUESE: ENGLISH summary Presented at 32d Ann. Meeting of SBPC Revised (INPE-1859-RPE/210) Avail: NTIS HC A02/MF A01 Soil temperature is a decisive factor controlling bacterial activity, and the processes of plant development and production. For a specific climate condition, soil temperature is a function of the soil geological nature and humidity. The soil energy balance was studied. Measurements of the soil temperatures were made in the infrared region, using a PRT-5 radiometer. The relation between soil absorption heat and its cooling process was determined from terrestrial radiation emission. Correlations between temperature and the main constituents of the soils were studied by means of photoacustic spectroscopy. Thermal inertia and the ratio of heating and cooling of different soil types were determined and these parameters were related to vegetation coverage. A.R.H.

180 02 as 0.7 ppm in the plume. NO2 is low, and 03 approaches nil. After sunrise, NO decreases, and N02 and 03 increases. (3) Inorganic ENVIRONMENTAL CHANGES AND nitrate particles, which can be identified with an electron micro- scopic spot test, are found farther downwind of the refineries. They CULTURAL RESOURCES are observed as particles imbedded in droplets with diameters Includes land use analysis, urban and metropolitan studies, between 1 and 10 microns. (4) Because these large nitrate particles are hygroscopic, they can serve as cloud condensation nuclei to form environmental impact, air and water pollution, geographic large cloud droplets and enhance droplet coalescence. Thus they play information systems, and geographic analysis. very important roles in the processes of cloud formation and precipitation. (Author) A80-47746 Effects of radar system parameters, population, and environmental modulation on settlement visibility. F. M. A80-48908 * Fluorescence lidar. T. J. Mcllrath (Maryland, Henderson and M. A. Anuta (New York, State University, Albany, University, College Park, Md.). Optical Engineering, vol. 19, July- N.Y.). International Journal of Remote Sensing, vol. 1, Apr.-June Aug. 1980, p. 494-502. 18 refs. Grant No. NsG-5315. 1980, p. 137-151. 8 refs. The physics of fluorescence lidar is reviewed, with emphasis The detectability of settlements and factors influencing their placed on understanding the features which determine its applicabil- visibility are explored using imagery from two side-looking airborne ity to particular species and environments. The successful applica- radar systems. K-band and X-band imagery of diverse areas in the tions of fluorescence lidar to date are covered, and a range of United States are examined to discover the minimum population proposed measurements is considered. Attention is given to strato- needed for a settlement to be consistently detected. The percentage spheric applications. V.T. of settlements visible by size of population are calculated and omission/commission errors analyzed. Particular attention is devoted A80-48909 * Development of a oulsed 9.5 micron lidar for to the effects of environmental modulation and a near-, mid-, or regional scale O3 measurement. R. W. Stewart (NASA, Goddard far-range location, but the factors of scale, resolution, and system are Space Flight Center, Greenbelt, Md.). Optical Engineering, vol. 19, also addressed. Results indicate that imagery at a scale of 1:200,000 July-Aug. 1980, p. 503-507. 22 refs. or larger is requisite for settlement detection. At this scale, 60-70 A pulsed infrared lidar system designed for application to the percent of settlements with 200-300 population can be identified remote sensing of atmospheric trace gases from an airborne platform with accuracies rising as population increases. Errors of commission is described. The system is also capable of measuring the infrared were less than 1 percent. A settlement's location in the range backscatter characteristics of the ocean surface, terrain, cloud, and direction had significant bearing on detectability but in an unpredict- aerosol targets. The lidar employed is based on dual wavelength pulse able manner. Environmental characteristics (e.g., landform, land energy measurements in the 9-11 micrometer wavelength region. cover) were determined to be of little or no significance in explaining V.T. variation in settlement detection except for the effect of vegetation on selected settlements. (Author) A80-50882 A study of the needs of French government A80-47750 The application of remote sensing to environ- agencies in remote sensing mapping (Etude des besoins des adminis- mental management. J. F. Handley (Merseyside County Council, trations francaises en cartographic par teledetection). M. Bied- Liverpool, England). (Remote Sensing Society, Annual Conference, Charreton, P. Fournier (Operation Pilote Interministerielle de 5th, Durham, England, Dec. 18-21, 1978.1 International Journal of Teledetection, Paris, France), B. Susplugas (Groupement pour le Remote Sensing, vol. 1, Apr.-June 1980, p. 181-195. 36 refs. Developpement de la Teledetection Aerospatiale, Paris, France), and The contribution of remote sensing to environmental manage- P. Gonfreville (Centre National d'Etudes Spatiales, Paris, France). In: ment procedures at the sub-regional scale is examined in relation to Cartographic processing and analysis of satellite imagery; Internation- the County Structure environmental management plan for Mersey- al Conference, 3rd, Toulouse, France, June 19-22, 1979, Proceed- side County, England. The various seasons, scales and emulsions used ings. Saint-Etienne, Loire, France, Edition for aerial photography in the county are indicated, and results of Gedim, 1980, p. 36-43. In French. aerial surveys of the distribution of derelict and despoiled land and A study, of existing and potential remote sensing mapping needs of natural environments are presented and compared with ground within France is presented, providing a detailed outline of mapping surveys. The use of color infrared and panchromatic aerial photo- applications and several tables cataloging the utilization of territories graphs indicating areas of environmental stress and land use in the and agricultural zones. References are made to the principal French formulation, implementation and monitoring of environmental bureaus responsible for the management of national territory and management activities is then discussed. A.L.W. natural resources, the development of agricultural policies, and international cooperation in managing earth resources. The study aims to help initiate an improvement of administrative procedures A80-48534 Conversion of nitrogen oxide gases to nitrate for the exploitation and future application of remote sensing in particles in oil refinery plumes. F. P. Parungo and R. F. Pueschel France. A.C.W. (NOAA, Atmospheric Physics and Chemistry Laboratory, Boulder, Colo.). (Symposium on Budget and Cycles of Trace Gases and Aerosols in the Atmosphere, Boulder, Colo., Aug. 12-18, 1979.1 A80-51935 * The environmental program at Kennedy Space Journal of Geophysical Research, vol. 85, Aug. 20, 1980, p. Center - Baseline to monitoring. W. M. Knott (NASA, Kennedy 4507-4511. 6 refs. Space Center, Cocoa Beach, Fla.). In: A new era in technology; An instrumented aircraft was used to survey the plume Proceedings of the Seventeenth Space Congress, Cocoa Beach, Fla., constituents of oil refineries in southern Los Angeles. Concentrations Aoril 30-May 2, 1980. Cocoa Beach, Fla., of NO, N02, 03, Aitken nuclei, and aerosol size distribution were Canaveral Council of Technical Societies, 1980, p. 2-44 to 2-49. measured continuously in situ. Aerosols were collected with an KSC has developed an environmental program to ensure that its impactor and were later analyzed with an electron microscope for activities do not adversely affect the surrounding environment. Two particle morphology and chemical composition. The results led to essential elements of the total program are the baseline and the following conclusions: (1) The refineries are a strong source of monitoring programs. The goal of the baseline program is to collect NO; as the plume travels, NO reacts with entrained O3 to form N02 sufficient information about the environment prior to Shuttle and subsequently converts to nitrate particles. (2) Diurnal variations launches so that adverse changes in the environment - if and when in NO. N02. O3 concentrations are directly correlated with solar they occur after the Shuttle program becomes active - can be radiation. In nocturnal stable conditions, NO concentration is as high detected and cause-effect relationships established when possible.

181 O2 ENVIRONMENTAL CHANGES AND CULTURAL RESOURCES

The goal of the monitoring program is to use information from the A80-53269 Airborne sulfur dioxide to sulfate oxidation baseline program along with survey and sampling operations during studies of the INCO 381M chimney plume. W. H. Chan, R. J. Vet, M. the period of initial Shuttle launches to document adverse changes in A. Lusis, J. E. Hunt, and R. D. S. Stevens (Ontario Ministry of the the environment. B.J. Environment, Air Resources Branch, Toronto, Canada). Atmospheric Environment, vol. 14, no. 10,1980, p. 1159-1170. 20 refs. A80-52332 Remote sensing of NO using a differential absorption lidar. N. Menyuk, D. K. Killinger, and W. E. DeFeo (MIT, Lexington, Mass.). Applied Optics, vol. 19, Oct. 1, 1980, p. A80-54074 Volcanic material from Mount St Helens in the 3282-3286. 15 refs. USAF-supported research. stratosphere over Europe. M. Ackerman, C. Lippens (Institut Single-ended remote sensing measurements of atmospheric NO d'Aeronomie Spatiale de Belgique, Brussels, Belgium), and M. have been made using differential absorption of frequency-doubled Lechevallier (Etablissement Technique Central Armement, Arcueil, pulsed CO2 laser radiation backscattered from topographic targets. Val-de-Marne, France). Nature, vol. 287, Oct. 16, 1980. p. 614, 615. Returns were obtained from targets at ranges out to 1.4 km, and 9 refs. significant NO concentrations above ambient were observed over a Observations of aerosols in the stratosphere prior to and path which crossed a traffic roadway at a range of 0.5 km. In view of following the eruption of Mount St. Helens volcano on May 18, 1980 the severe atmospheric water vapor absorption in the spectral region are reported. Photographic observations of the earth limb in the containing the NO absorption band, the range dependence of the azimuthal direction of the sun at low solar elevations were obtained lidar returns was also measured in order to determine the differential at balloon altitudes over Europe on October 10. 1979 and May 7 and absorption of the ambient atmosphere. The results differed signifi- June 5, 1980. Analysis of the limb pictures acquired reveals an cantly from those computed from atmospheric transmission data abrupt increase in earth limb radiance between 15 and 16 km tapes. (Author) altitude on June 5 relative to the earlier dates, at which radiance varied smoothly with altitude. The increased radiance is attributed to A80-52346 * Polar nephelometer for atmospheric particu- aerosols from the volcanic event, and possible mechanisms for the late studies. M. Z. Hansen (NASA, Goddard Space Flight Center, decrease of the amount of solar radiation reaching the ground due to Laboratory for Atmospheric Sciences, Greenbelt, Md.) and W. H. the stratospheric aerosols are indicated. A.L.W. Evans (Arizona, University, Tucson, Ariz.). Applied Optics, vol. 19, Oct. 1, 1980, p. 3389-3395. 20 refs. Contract No. N80-30868*# Jet Propulsion Lab.. California Inst. of Tech.. N00014-75-C-0208. Pasadena. A unique polar nephelometer was designed and constructed for MAPPING URBANIZED AREA EXPANSION THROUGH the measurement of atmospheric paniculate characteristics. The DIGITAL IMAGE PROCESSING OF LANDSAT AND nephelometer produces visible light from a self-contained laser to CONVENTIONAL DATA irradiate an air sample drawn into the instrument. The light scattered Steven Z. Friedman. Principal Investigator 1 Mar. 1980 88 p from the particulates and molecules in the sample is detected as a refs Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S.D. function of scattering angle for each of four different incident light 57198 ERTS polarizations. These measurements are used to determine the (Contract NAS7-100) paniculate scattering matrix which is a function of the size, shape, (E80-10301; NASA-CR-163355: JPL-Pub-79-1 1 3) Avail: and index of refraction of the particles. The region of sensitivity for NTIS HC A05/MF A01 CSCL 08B the measurements corresponds to the size range of particles that strongly affects visible radiative transfer in the atmosphere, which is the primary application for the derived information. (Author) N80-30877jjf Wisconsin Univ. - Madison. MONITORING THE USE OF RIVERWAYS WITH AERIAL PHOTOGRAPHY: THE DEVELOPMENT. TESTING. AND A80-53131 Laser studies of the atmosphere and under- EVALUATION OF A COMPUTER ASSISTED METHODOL- lying surface (Issledovanie atmosfery i podstilaiushchei poverkhnosti OGY Final Report s ispol'rovaniem lazernoi tekhniki). Edited by A. I. German. R. H. Becker. William A. Gates, and Bernard J. Niemann, Jr. Moscow, Gidrometeoizdat (Tsentral'naia Aerologicheskaia Observa- 31 Mar. 1980 363 p toriia, Trudy, No. 138), 1979. 128 p. In Russian. (Contract DACW25-79-C-0008) (AD-A086471) Avail: NTIS HC A16/MF A01 CSCL 14/5 Papers are presented on such topics as the use of spaceborne The objectives of this investigation were to develop, test lidar to study space-time variations of atmospheric aerosol, lidar and evaluate a recreational monitoring methodology using aerial measurements of stratospheric and tropospheric ozone, experimental photography and computer assisted data capture with auxiliary equipment. To meet these objectives, photography was flown, studies of air pollution, and optical measurements of NO2 concentra- interpretation techniques were developed and utilized, hardware tion in the atmosphere. Consideration is also given to intensity was assembled, software was written and recreational monitoring fluctuations of light beams reflected from the turbulent sea surface, results were obtained. Section 1. includes a statement of lidar studies of sea surface patterns, and lidar studies of clouds and objectives, how the report is organized, a summary of available underlying surfaces. B.J. photography, a brief summary of methods employed, and some conclusions. Section 2. Pool 16 Users Results, includes the results A80-53265 Smoke as a quantitative atmospheric diffusion obtained from applying the methodology for six flights over Pool tracer. F. A. Gifford (NOAA, Air Resources Atmospheric Turbulence 16. It also includes discussion of the results and provides graphic and Diffusion Laboratory, Oak Ridge, Tenn.). (Workshop on examples of results. Section 3. Evaluation of the Methodology, Atmospheric Tracers and Tracer Applications, University of Califor- includes equipment and personnel requirements, the time utilized nia, Los Alamos, N. Mex., May 23, 24, 1979.) Atmospheric developing and testing the methodology, and the costs incurred. Environment, vol. 14, no. 10, 1980, p. 1119-1121. 8 refs. The reliability of the methodology, error control and error discovery Generalizations of the 'opacity method' of analyzing visible are discussed. Section 4. Aerial Photographic Methods, includes a detailed discussion of the methods and equipment employed smoke-plume diffusion are presented. The horizontal dispersion to purchase, obtain and process the aerial photography for the length, sigma-y, is derived from the outline of a plume having an riverway. Section 5. Interpretative methods, discusses the methods arbitrary vertical concentration distribution. The vertical dispersion employed to interpret, locate and encode targets from the length, sigma-z, is derived for a plume with concentration varying as photography. Section 6. Handbook/Codebook. includes a detailed arbitrary powers of y and z in the exponential terms. Examples of description of each variable encoded as part of the methodology. observations of sigma-y and sigma-z based on Skylab-4, U-2, and It also includes the rules used to interpret each of the target ordinary land-based photographs are presented. (Author) types. GRA

182 02 ENVIRONMENTAL CHANGES AND CULTURAL RESOURCES

N80-31862# Rockwell International Corp.. Richland. Wash. were used to obtain a historical perspective and aid in the analysis Energy Systems Group. of the field data collected. A.R.H. LANDSAT DATA AS A BASIS FOR REGIONAL ENVIRON- MENTAL ASSESSMENT WITHIN THE COLUMBIA PLA- N80-32817*# California Univ.. Berkeley. Space Sciences TEAU Lab. L. S. Leonhart and J. G. Stephan (Battelle Pacific Northwest APPLICATION OF REMOTE SENSING TO SELECTED Labs.. Richland. Wash.) May 1980 19 p Presented at the PROBLEMS WITHIN THE STATE OF CALIFORNIA Annual 6th Can. Symp. on Remote Sensing. Halifax. Canada. 21-23 May Report 1980 Robert N. Colwell. Andrew S. Benson. John E. Estes. and Claude (Contract DE-AC06-77RL-01030) Johnson, Principal Investigators 1 May 1980 438 p refs (RHO-BWI-SA-43: CONF-800577-1) Avail: NTIS Original contains color imagery. Original photography may be HC A02/MF A01 purchased from the EROS Data Center. Sioux Falls. S. D. 57198 An environmental assessment is being performed in conjunc- ERTS tion with siting a radioactive waste terminal-storage facility within (Grant NsG-7220) the federally operated Hanford Site in south-central Washington. (E80-10326: NASA-CR-163405: SSL-Ser-21-lssue-14) Avail: Initial assessments involved classification of four contiguous NTIS HC A19/MF A01 CSCL 058 LANDSAT scenes recorded over the region and about 300 high-altitude (U-2) photographs. The resulting mosaic was segregated into ten land-cover classes. The classified land-cover N80-32825*# Kansas Univ. Center for Research. Inc.. Lawrence. data were then machine-integrated with digital irrigation Space Technology Center. well-location data. The resulting groundwater multi-source data THE APPLICATION OF REMOTE SENSING TO RESOURCE product was required by hydrologists to segregate potential MANAGEMENT AND ENVIRONMENTAL QUALITY PRO- artificial recharge areas from artificial groundwater discharge areas. GRAMS IN KANSAS Annual Report. 1 Apr. 1979 - 31 Mar. Related studies employed LANDSAT data and aerial imagery to 1980 identify linear structures and other geologic features which may B. G. Barr and E. A. Martinko. Principal Investigators Jul. 1980 have a significant bearing on the tectonic and/or hydrological 108 p Original contains color imagery. Orginal photography setting of the Columbia Plateau. DOE may be purchased from the EROS Data Center. Sioux Falls. S.D. 57198 ERTS N80-31969*# University of Central Florida. Orlando. Dept. (Grant NGL-17-004-024) of Biological Sciences. (E80-10337; NASA-CR-163417) Avail: NTIS A CONTINUATION OF BASE-LINE STUDIES FOR ENVIRON- HC A06/MF A01 CSCL 13B MENTALLY MONITORING SPACE TRANSPORTATION SYSTEMS (STS) AT JOHN F. KENNEDY SPACE CENTER. N80-32826*# Mississippi State Univ.. Mississippi State. VOLUME 4: THREATENED AND ENDANGERED SPECIES APPLICATION OF REMOTE SENSING TO STATE AND OF THE KENNEDY SPACE CENTER. PART 1: MARINE REGIONAL PROBLEMS Semiannual Progress Report. TURTLE STUDIES Final Report. 1976 - 1979 1 May - 31 Oct. 1979 L. M. Ehrhart Sep. 1980 417 p refs W. Frank Miller. Dale A. Quattrochi. Bradley D. Carter. Gary K. (Contract NAS10-8986) Higgs. and Jimmy L Solomon. Principal Investigators 1 Nov. (NASA-CR-163l22-Vol-4-Pt-1: TR-51-2-Vol-4Pt-1) Avail: 1979 55 p Original contains color illustrations ERTS NTIS HC A18/MF A01 CSCL 13B (Grant NGL-25-001-054) The status of marine turtle populations in the KSC area (E80-10338: NASA-CR-1 6341 8: SAPR-12) Avail: NTIS was studied using data from previous results from ground and HC A04/MF A01 CSCL 05B aerial surveillance conducted from 1976 to April 1979. During ground surveillance, various data were recorded on emergent turtles such as: species, weight, tag number (if previously tagged), N80-33928*# National Aeronautics and Space Administration. time discovered, activity at discovery and the location of discovery. Langley Research Center. Hampton. Va. Observations were also made on nesting and reproductive IN SITU OZONE DATA FOR EVALUATION OF THE LASER characteristics, population estimates, immigration and emigration ABSORPTION SPECTROMETER OZONE REMOTE SENSOR: and growth rate of the turtles. Mortality studies were additionally 1979 SOUTHEASTERN VIRGINIA URBAN PLUME STUDY made and autopsies performed on dead turtles found in the SUMMER FIELD PROGRAM area. It is concluded that further mortality documentation should Gerald L. Gregory. David S. McDougal. and Joe J. Mathis. Jr. be done just prior to and just after a future space launch operation Oct. 1980 57 p refs in order to accurately assess the cause and effect relationship (NASA-TM-81831) Avail: NTIS HC A04/MF A01 CSCL of such a launch on the turtle population. A.R.H. 13B Ozone data from the 1979 Southeastern Virginia Urban Study (SEV-UPS) field program are presented. The SEV-UPS was N80-31970*# University of Central Florida. Orlando. Dept. conducted for evaluation of an ozone remote sensor, the Laser of Biological Sciences. Absorption Spectrometer. During the measurement program, A CONTINUATION OF BASE-LINE STUDIES FOR ENVIRON- remote-sensor evaluation was in two areas: (1) determination MENTALLY MONITORING SPACE TRANSPORTATION of the remote sensor's accuracy, repeatability, and operational SYSTEMS (STS) AT JOHN F. KENNEDY SPACE CENTER. characteristics, and (2) demonstration of the application of VOLUME 4: THREATENED AND ENDANGERED SPECIES remotely sensed ozone data in air-quality studies. Data from six OF THE KENNEDY SPACE CENTER. PART2: THREATENED experiments designed to provide in situ ozone data for evaluation AND ENDANGERED BIRDS AND OTHER THREATENED. of the sensor in area 1. above, are presented. Experiments AND ENDANGERED FORMS Final Report. Sep. 1976 - consisted of overflights of a test area with the remote sensor Apr. 1979 aircraft while in situ measurements with a second aircraft and L. M. Ehrhart Sep. 1980 148 p refs selected surface stations provided correlative ozone data within (Contract NAS10-8986) (NASA-CR-163122-Vol-4-Pt-2: TR-51-2-Vol-4-Pt-2) Avail: the viewing area of the remote sensor. T.M. NTIS HC A07/MF A01 CSCL 06C Data are presented which were collected by ground and aerial surveillance of 37 species of birds observed within the environs of KSC which are on lists of rare and endangered biota in Florida. Additional information was obtained on other threatened species such as the West Indian manatee, the salt marsh snake, the Indigo snake, the Gopher tortoise, the American alligator, and the Florida mouse. Results of the literature search

183 Page Intentionally Left Blank 03 cartographic urbaine). M. Bozet, H. Dotu, M. Installe, and J. Wilmet (Louvain, Universite, Louvain-la-Neuve, Belgium). In: Cartographic GEODESY AND CARTOGRAPHY processing and analysis of satellite imagery; International Confer- ence, 3rd, Toulouse, France, June 19-22, 1979, Proceedings. Includes mapping and topography. Saint-Etienne, Loire, France, Edition Gedim, 1980, p. 122-129. 12 refs. In French. Several techniques of unsupervised classification of multispectral A80-45297 H The use of space data for the mapping of scanner (MSS) data using spectral-spatial information and spectral coastal areas (Ispol'zovanie kosmicheskoi informatsii dlia karto- information only are examined. The shortcomings of these tech- grafirovaniia shel'fa). E. S. Zubchenko and V. D. Kondiurin. niques are pointed out and spatial filtering based on the contrast Geodeziia i Kartografiia, June 1980, p. 54-58. 13 refs. In Russian. property is proposed in order to improve the classification using Recent work on the use of remote sensing data for the mapping spectral information only. In addition to the greater accuracy, the advantages of classification using this filtering are the preservation of of coastal areas is reviewed. Consideration is given to such topics as really small and filiform objects, the great consideration of local the digital mapping of coastal areas from Landsat, the use of point details of the image and the results are in a more desirable form for classification methods for the mapping of estuarine areas from interpretation. Two urban-area Landsat 1 images are used to Landsat, and the geometric and cartographic accuracy of ERIS-1 illustrate the results of the proposed technique. (Author) imagery. B.J.

A80-50895 The combined plotting of satellite photo- A80-46967 # A photogrammetric method of processing graphs and aerial photographs for topographic mapping (Restitution space photographs (Ob odnom sposobe fotogrammetricheskoi obra- combinee de photographies de satellite et de photographies aeriennes botki kosmicheskikh snimkov). V. D. Bol'shakov and I. G. Zhurkin pour la cartographic topographique). 0. R. Kolbl (Lausanne, Ecole (Moskovskii Institut Inzhenerov Geodezii, Aerofotos'emki i Karto- Polytechnique Federale, Lausanne, Switzerland). In: Cartographic grafii, Moscow, USSR). Geodeziia i Aerofotos'emka, no. 3, 1980, p. processing and analysis of satellite imagery; International Confer- 76-85. In Russian. ence, 3rd, Toulouse, France, June 19-22, 1979, Proceedings. The paper examines a method of determining the relative Saint-Etienne, Loire, France, Edition Gedim, 1980, p. position in space of two surveying systems with respect to a fixed 145-151. In French. absolute (inertial) coordinate system using support points of a It is shown that topographic mapping can be rationalized by the moving object. It was shown that in a general case, a violation of use of satellite photographs and is especially applicable to the needs coplanarity of the three vectors occurs in solving this problem. One of developing countries. It is suggested that satellite photographs be of these vectors is oriented along the line which connects two used both for aerial triangulation and for supplying the geometrical mapping points, and the other two vectors are oriented from each information for topographic mapping. Aerial photographs are used at mapping point toward the object of the survey. An algorithm for the picture scales between 1:50,000 and 1:100,000 for the purpose of solution of this problem is presented for the case of mapping of the topographic photointerpretation. The combined plotting of satellite earth surface from a satellite. A.T. and aerial photographs is discussed. B.J.

A80-50876 Cartographic processing and analysis of satel- A80-50896 Tidal land mapping from Landsat. H.-P. Bahr lite imagery; International Conference, 3rd, Toulouse, France, June and E. Dennert-Moller (Hannover, Universitat, Hanover, West Germa- 19-22, 1979, Proceedings (Traitement et exploitation cartographique ny). In: Cartographic processing and analysis of satellite imagery; des images spatiales; Collogue International, 3rd, Toulouse, France, International Conference, 3rd, Toulouse, France, June 19-22, 1979, June 19-22, 1979, Proceedings). Conference sponsored by the Proceedings. Saint-Etienne, Loire, France, Edi- Groupement pour le Developpement de la Teledetection Aero- tion Gedim, 1980. p. 152-160. 11 refs. spatiale. Saint-Etienne, Loire, France, Edition Gedim (Annales des Precise digital geometrical rectification of Landsat MSS data Mines, Apr.-May 1980), 1980. 232 p. In French and English. S42.37. leading to m(x) equals plus or minus 25.7 m and m(x) equals plus or minus 51.3 m rms was executed in order to prepare multispectral The use of remote sensing imagery for purposes of mapping is classification of the North Fresian tidal flats at the German North considered with attention given to photogrammetric processing, Sea coast. The maximum likelihood method was applied to 7 classes methods for the extraction of cartographic information, topographic resulting in an accuracy better than 89 percent. (Author) mapping, and the use of satellite imagery for thematic mapping. Particular consideration is given to soil inventory and mapping, A80-50897 Basic topographic mapping - Renewal and cartographic display of space information, the needs of French revision (Cartographic topographique de base - Refection et revision). government agencies in remote sensing mapping, the geometric J. Poulain (Institut Geographique National, Paris, France). In: processing of remote sensing images, and Spacelab photogrammetric Cartographic processing and analysis of satellite imagery; Internation- experiments. B.J. al Conference, 3rd, Toulouse, France, June 19-22, 1979, Proceed- ings. Saint-Etienne, Loire, France, Edition A80-50888 Automatic mapping of snow cover by means Gedim, 1980, p. 161-165. In French. of Landsat - Application to the central Pyrenees (Cartographic The use of remote sensing for topographic mapping is reviewed automatique du manteau neigeux a I'aide due satellite Landsat - with particular attention given to the application of interactive image Application aux Pyrenees centrales). C. Leprieur (Ecole Nationale processing to the revision of small-scale maps and the compilation of Superieure Agronomique, France), M. Traizet, and J. C. Favard new maps. Two examples are discussed: (1) the revision of a (Centre National d'Etudes Spatiales, Toulouse, France). In: Carto- 1:100,000 map of Verdun-sur-Meuse; and (2) the compilation of a graphic processing and analysis of satellite imagery; International color map of the Sudan. BJ. Conference, 3rd, Toulouse, France, June 19-22, 1979, Proceedings. Saint-Etienne, Loire, France, Edition Gedim, 1980, p. 92-99. In French. A80-50902 Evaluation of Landsat image data for the A criterion for the automatic recognition of snow cover is extraction of land use information and its presentation in thematic developed. The application of this criterion to Landsat images of the maps. W. Kirchhof, P. Haberacker, E. Krauth, G. Kritikos, and R. central Pyrenees is discussed. B.J. Winter (Deutsche Forschungs- und Versuchsanstalt fur Luft- und Raumfahrt, Institut fur Nachrichtentechnik, Wessling, West Germa- A80-50892 Spatial filtering of Landsat data for urban ny). In: Cartographic processing and analysis of satellite imagery; cartography (Filtrage spatial des donnees Landsat en vue de la International Conference, 3rd, Toulouse, France, June 19-22, 1979,

185 03 GEODESY AND CARTOGRAPHY

Proceedings. Saint-Etienne, Loire, France, Edi- Aug. 1980, p. 47-54. 14 refs. In Russian. tion Gedim, 1980, p. 196-203. 20 refs. The paper examines the feasibility of using space photography For the northern part of the Rhinegraben a supervised classifica- to study anthropogenic landscapes (i.e., natural landscapes modified tion of Landsat image data has been performed. As a result, a by man). The use of space data for landscape mapping and resources geometrical rectified map of land use at a scale 1:200,000 has been monitoring is considered. B.J. produced, coinciding with the topographical map CC 7110, Mann- heim, 8500 sq km. By overprinting this map with features the N80-28809*# New South Wales Univ.. Sydney (Australia). geometrical rectification and consistency of eight land use classes was School of Surveying. verified. For the community of Speyer a demonstration of consisten- CRUSTAL DEFORMATION AT VERY LONG BASELINE cy with aerial photo interpretation was made on the level of land use INTERFEROMETRY SITES DUE TO SEASONAL AIR-MASS inventory and spatial distribution of discrepancies. The study yields, AND GROUND WATER VARIATIONS that for a central European region the available Landsat image data A. Stolz and Douglas R Larden (Colorado Univ.. Boulder) In may be suitable for the construction of thematic maps of land use, NASA. Goddard Space Flight Center Radio Interferometry Jul. for land use inventories and as interpretation aids for a variety of 1980 p 145-151 refs applications. (Author) Avail: NTIS HC A20/MF A01 CSCL 08B The seasonal deformation normal to the Earth's surface was A80-53051 Applications of statistics to thematic mapping. calculated at stations involved or interested in very long baseline G. H. Rosenfield and M. L. Melley (U.S. Geological Survey, Reston, interferometry (VLB!) geodesy and at hypothetical sites in Australia Va.). Photogrammetric Engineering and Remote Sensing, vol. 46, and Brazil using global atmospheric pressure data, values for Oct. 1980, p. 1287-1294. 11 refs. groundwater storage, and load Love numbers deduced from current Two statistical problems occurring in the effort to analyze Earth models. It was found that the annual range of deforma- thematic maps and mapping are determining the accuracy of tion approached the centimeter level measuring potential of the thematic content and comparing factors studied in thematic map- VLBI technqiue at Greenbank. Haystack, and the Brazil site. R.E.S. ping. Statistical procedures applicable to thematic mapping involve sampling, determining accuracy, and comparing factors. A sampling procedure using an unaligned pattern within a square grid network is N80-28838*# Jet Propulsion Lab.. California Inst. of Tech., applicable for use with thematic maps. Sample size may be Pasadena. determined using the binomial distribution based upon the confi- SATELLITE EMISSION RADIO INTERFEROMETRIC EARTH dence interval to define the true mean of the population within SURVEYING (SERIES) P. F. MacDoran In NASA. Goddard Space Flight Center Radio certain limits. The confidence interval may also be used to define the Interferometry Jul. 1980 p 403-408 upper and lower limits of the accuracy of the thematic map. Several tests for comparing factors using differences of paired samples are (Contract NAS7-100) the t test, the signed rank test, and the sign test. When more than Avail: NTIS HC A20/MF A01 CSCL 08B two factors are being studied, analysis of variance is the most Existing satellite radio emissions of the global positioning efficient procedure to use. (Author) system were exploited as a resource for cost effective high accuracy geodetic measurements. System applications were A80-54021 ft Optimal conditions for determining the co- directed toward crustal dynamics and earthquake research.R.C.T. ordinates of the earth's center of mass (Ob optimal'nykh usloviiakh opredeleniia koordinat tsentra mass zemli). B. L. Kaplan and K. K. N80-28841*# National Aeronautics and Space Administration. Nasretdinov. Geodeziia i Kartografiia, Aug. 1980, p. 12-14. In Goddard Space Flight Center. Greenbelt Md. Russian. NASA GEODETIC APPLICATIONS OF THE MARK 3 VLBI Gravimetric and satellite data are used to determine the SYSTEM parameters of the total ellipsoid of the earth, referred to the earth's Robert Coates In its Radio Interferometry Jul. 1980 p 425-433 center of mass. The method is applied to the case when the refs Avail: NTIS HC A20/MF A01 CSCL 088 geocentric radius-vectors of points in the reference system are The Mark 3 very long baseline interferometer system was known. B.J. used in monitoring the following geodetic phenomena: the regional deformation and strain accumulation related to large earthquakes A80-54023 !• An automated aerial-photographic in the plate boundary region of the western United States: information-search system (Aerofotos'emochnaia avtomatizirovan- contemporary relative plate tectonic motions of the North naia informatsionno-poiskovaia sistema). A. G. Zhuchenko, L. A. American. Pacific. South American. Eurasian, and Australian Morozova, and V. la. Petrov. Geodeziia i Kartografiia, Aug. 1980, p. Plates: the internal deformation of continental and oceanic 33-37. 12 refs. In Russian. lithospheric plates with particular emphasis on North America The paper describes an automated system for the extraction of and the Pacific: the rotational dynamics of the Earth and their possible correlation to earthquakes, plate motions, and other geological information from aerial photographs; the system used is an geophysical phenomena: and motions and deformation occurring information-search language of descriptor type, represented in the in regions of high earthquake activity. R.C.T form of classifiers. A block diagram of the system is presented. B.J.

A80-54024 # The geometric calibration of multispectral N80-29818*# Ohio State Univ.. Columbus. Dept. of Geodetic photographic equipment (Geometricheskaia kalibrovka mnogo- Science. zonal'noi fotoapparatury). V. I. lurov. Geodeziia i Kartografiia, Aug. IMPROVEMENT OF THE EARTH'S GRAVITY FIELD FROM 1980, p. 37-42. In Russian. TERRESTRIAL AND SATELLITE DATA Status Report No. 16. A method for determining the geometric parameters of a 1 Jan. 1979 - 30 Jun. 1980 multispectral photography system is presented. The method is used Jul. 1980 5 p ERTS to calibrate a nine-channel system. Calibration results are presented (Grant NGR-36-008-161: OSURF Proj. 783210) and calibration accuracy is discussed. B.J. (E80-10271: NASA-CR-163343) Avail: NTIS HC A02/MF A01 CSCL 08E

A80-54025 # The use of space photographic data for the N80-30876*# National Aeronautics and Space Administration. study and mapping of anthropogenic landscapes (Primenenie kosmi- Goddard Space Flight Center. Greenbelt. Md. cheskoi fotoinformatsii dlia izucheniia i kartografirovaniia antropo- THE CONTRIBUTION OF THE DIFFUSE LIGHT COMPO- gennykh landshaftov). S. V. Skatershchikov. Geodeziia i Kartografiia, NENT TO THE TOPOGRAPHIC EFFECT ON REMOTELY

186 03 GEODESY AND CARTOGRAPHY

SENSED DATA Chris Justice and Brent Holben Jun. 1980 45 p refs Submitted for publication (NASA-TM-80728) Avail: NTIS HC A03/MF A01 CSCL 20F The topographic effect is measured by the difference between the global radiance from inclined surfaces as a function of their orientation relative to the sensor position and light source. The short wave radiant energy incident on a surface is composed of direct sunlight, scattered skylight, and light reflected from surrounding terrain. The latter two components are commonly known as the diffuse component. The contribution of the diffuse light component to the topographic effect was examined and the significance of this diffuse component with respect to two direct radiance models was assessed. Diffuse and global spectral radiances were measured for a series of slopes and aspects of a uniform and surface in the red and photographic infrared parts of the spectrum, using a nadir pointing two channel handheld radiometer. The diffuse light was found to produce a topographic effect which varied from the topographic effect for direct light. The topographic effect caused by diffuse light was found to increase slightly with solar elevation and wavelength for the channels examined. The correlations between data derived from two simple direct radiance simulation models and the field data were not significantly affected when the diffuse component was removed from the radiances. Radiances from a 60 percent reflective surface, assuming no atmospheric path radiance, the diffuse light topographic effect contributed a maximum range of 3 pixel values in simulated LAND SAT data from all aspects with slopes up to 30 degrees. R.K.G.

N80-3186O# Army Engineer Topographic Labs.. Fort Belvoir. Va. TERRAIN ANALYST SYNTHESIZER STATION Gunther Schwarz Jun. 1980 28 p (DA Proj. 4A7-62707-A-855) (AD-A087370:ETL-0231) Avail: NTIS HC A03/MF A01 CSCL 08/2 This report describes the Terrain Analyst Synthesizer Station built under contract for USAETL. Tests were performed to determine the characteristics and adherence to the specifications set forth in the Purchase Description. GRA

N80-33999*# National Aeronautics and Space Administration. Washington. D. C. THE COORDINATED FEDERAL PROGRAM FOR THE APPLICATION OF SPACE TECHNOLOGY TO CRUSTAL DYNAMICS AND EARTHQUAKE RESEARCH Pitt G. Thome Jan. 1979 17 p refs Prepared in cooperation with NOAA and Geological Survey and NSF and Defense Mapping Agency , (NASA-TM-82215) Avail: NTIS HC A02/MF A01 CSCL 08G The application of space technology to important problems relating to crustal dynamics and earthquake research is described. Federal plans for such applications are summarized.T.M.

N80-34OOO*# National Aeronautic Association. Washington. D. C. NASA PLAN FOR INTERNATIONAL CRUSTAL DYNAMICS STUDIES Apr. 1979 34 p refs (NASA-TM-82214) Avail: NTIS HC A03/MF A01 CSCL 08G The international activities being planned as part of the NASA geodynamics program are described. Methods of studying the Earth's crustal movements and deformation characteristics are discussed. The significance of the eventual formalations of earthquake predictions methods is also discussed. R.C.T.

187 Page Intentionally Left Blank 04 logii i Geofiziki, Saratov, USSR). Issledovanie Zemli iz Kosmosa, May-June 1980, p. 101-104. In Russian. GEOLOGY AND MINERAL An analysis of space photographs (taken from the Meteor-25 satellite) in the visible and near-IR ranges was used to study the RESOURCES effects of the Main Ural Fault and the Timan ridge on the cloud Includes mineral deposits, petroleum deposits, spectral prop- cover of the Urals. The perturbed atmospheric layer above the fault was found to be 6 km high, while above the ridge the perturbed layer erties of rocks, geological exploration, and lithology. was 4 km high. B.J.

A80-48975 Remote sensing for tunnel siting studies. 0. R. A80-50880 Landsat imagery in oil exploration - Six years Russell, J. R. Everett (Earth Satellite Corp., Washington, D.C.), and of experience (Les images Landsat en exploration petroliere - 6 ans D. T. Stanczuk (Science Applications, Inc., McLean, Va.). (American d'experience). A. Fontanel and J.-C. Riverau (Institut Francais du Society of Civil Engineers, Annual Convention and Exposition, Petrole, Rueil-Malmaison, Hauts-de-Seine, France). In; Cartographic Atlanta, Ga., Oct. 22-26, 1979.) ASCE, Transportation Engineering processing and analysis of satellite imagery; International Confer- Journal, vol. 106, Sept. 1980, p. 523-537. 5 refs. U.S. Department of ence, 3rd, Toulouse, France, June 19-22, 1979, Proceedings. Transportation Contract No. FH-11-8598. Saint-Etienne, Loire, France, Edition Gedim, 1980, p. An investigation was held to evaluate the contribution of various 27-30. In French. airborne remote sensing systems and interpretive techniques to the A review of the most common utilizations of Landsat images in development of improved three-dimensional geologic models needed geological and petroleum studies is presented. Included in the report to select and analyze highway tunnel sights. During this study, data are characteristics of the geological surveys such as scale, percentage from most types of remote sensing imaging systems were tested and type of color compositions, and type of digital processing. The (Landsat, Skylab, side-looking radar; black-and-white photography, cost of the surveys and various financial constraints of digital color, color-infrared, low-sun-angle black-and-white infrared photog- processing are also presented. A.C.W. raphy; thermal infrared and multispectral scanner; airborne electromagnetic systems and magnetometers). All these devices are A80-50881 Review of BRGM research activities in geologi- characterized and their advantages are emphasized. An economic cal remote sensing and medium-term perspectives (Bilan des activites analysis is provided, and an attempt is made to estimate costs for de recherche du BRGM en teledetection appliquee a la geologic et data acquisition using different sensors. Tables compare the units of perspectives a moyen terme). G. Weecksteen (Bureau of Recherches exploratory work with the units of construction work and capability Geologiques et Minieres, Orleans, France). In: Cartographic process- ratings of conventional and remote sensing methods under optimum ing and analysis of satellite imagery; International Conference, 3rd, conditions. S.S. Toulouse, France, June 19-22, 1979, Proceedings. Saint-Etienne, Loire, France, Edition Gedim, 1980, p. 31-35. 19 A80-49524 " Uranium - Spectral discrimination of alteration refs. In French. phenomena in sediments. J. E. Conel, M. J. Abrams, and K. W. Baird Remote sensing technology as a tool for geological mapping and (California Institute of Technology, Jet Propulsion Laboratory, mineral research is discussed. The relative importance of spatial Pasadena, Calif.). Modern Geology, vol. 7, no. 2, 1980, p. 115-135. vectors and sensors for specific domains of geology are considered. Research supported by the U.S. Department of Energy; Contract No. Both lineaments and circular structures are discussed in relation to NAS7-100. their various applications in geology mapping, mineral research, geothermal survey, and estimate of seismic hazards. The difference in data obtained from multispectral sensors over arid zones and soil A80-49654 # The Mesozoic and Cenozoic depressions of the Baikalo-Amur region from the interpretation of space photographs covered regions is examined. Thermal remote sensing is shown to (O mezozoiskikh i kainozoiskikh vpadinakh raiona BAM po dannym provide improvements for detecting sub-surface geological anomalies deshifrirovaniia kosmicheskikh snimkov). L. G. Vasiutina (Vsesoiuz- in soil covered areas. A.C.W. noe Aerogeologicheskoe Nauchno-Proizvodstvennoe Ob'edinenie Aerogeologiia, Moscow, USSR) and A. P. Kuskov. Issledovanie Zemli A80-51076 Remote sensing and mineral exploration; Pro- iz Kosmosa, May-June 1980, p. 27-33. 11 refs. In Russian. ceedings of the Workshop, Bangalore, India, May 29-June 9, 1979. Space photographs, taken in conjunction with geological, Workshop sponsored by COSPAR, International Union of Geological geophysical, gcomorphological, and morphostructural data, make it Sciences, UNESCO, Geological Survey of India, et al. Edited by W. possible to evaluate certain depressions in the Baikalo-Amur region D. Carter, L. C: Rowan (U.S. Geological Survey, Reston, Va.) and J. that are not compensated (or only slightly compensated) by F. Huntington (Commonwealth Scientific and Industrial Research contemporaneous sediments. Information on the extended troughs Organization, North Rhyde, Australia). Oxford, Pergamon Press, Ltd. and the erosion characteristics of these noncompensated depressions (Advances in Space Exploration. Volume 10), 1980. 182 p. S60. has been obtained. B.J. Papers presented in this volume reflect the international A80-49663 ," Characteristics of the representation of tec- state-of-the-art of remote sensing in the field of geology and tonic faults on space photographs (Osobennosti otobrazheniia exploration for mineral and energy resources. The papers include: tektonicheskikh razlomov na snimkakh iz kosmosa). L. N. Rozanov contribution of Landsat data to the objectives of the geological (Vsesoiuznyi Neftianoi Nauchno-lssledovatel'skii Geologorazve- survey of India; mineral resource exploration, inventory, and dochnyi Institut, Leningrad, USSR). Issledovanie Zemli iz Kosmosa, assessment; geological ground-truths and Landsat imagery interpreta- May-June 1980, p. 98-100. 6 refs. In Russian. tion for parts of Karnataka State (India); and the application of The use of geological surveys and spaceborne photography to remote sensing techniques to petroleum exploration in India. V.L. detect tectonic faults is considered. It is shown that space photographs are adequate for the identification of extension faults, but are A80-51077 Contribution of Landsat data to the objectives inadequate for the identification of compression-stress faults (these of the geological survey of India. V. S. Krishnaswamy (Geological latter faults must be detected by geological survey methods). B.J. Survey of India, Calcutta, India). In: Remote sensing and mineral exploration; Proceedings of the Workshop, Bangalore, India, May A80-49664 # The appearance of the Main Ural Fault in a 29-June 9, 1979. Oxford, Pergamon Press, Ltd., cloud field on space photographs (Proiavlenie glavnogo Ural'skogo 1980, p. 1-9. razloma v pole oblachnosti na kosmicheskikh snimkakh). L. I. Satellite-generated data are considered in relation to geoseismo- Morozova (Nizhnevolzhskii Nauchno-lssledovatel'skii Institut Geo- logical, geohydrological, geomorphological, glaciological, mineral

189 04 GEOLOGY AND MINERAL RESOURCES

resource location, and tectonic studies in India. Future programs of the Workshop, Bangalore, India, May 29-June 9, 1979. the Geological Survey of India are considered, including the Oxford, Pergamon Press, Ltd., 1980, p. 79-86. 5 refs. incorporation of automated systems for data handling and the Research supported by the Association of Commonwealth Universi- procurement of equipment. R.C. ties of England.

A80-51078 Characteristics of the Landsat system and data A80-51083 Lineament study of the Bastar district, for geologic applications - Availability of data. W. D. Carter (U.S. Madhya Pradesh, India, from Landsat imagery. V. D. Bhate (Geologi- Geological Survey, Reston, Va.l. In: Remote sensing and mineral cal Survey of India, Calcutta, India). In: Remote sensing and mineral exploration; Proceedings of the Workshop, Bangalore, India, May exploration; Proceedings of the Workshop, Bangalore, India, May 29-June 9, 1979. Oxford, Pergamon Press, Ltd., 29-June 9, 1979. Oxford, Pergamon Press, Ltd., 1980, p. 17-21. 1980, p. 87-93. 8 refs. Characteristics of Landsat series satellites and the data available Study of the Landsat-1 MSS imagery covering the Bastar from them are outlined with respect to their geologic applications. district, Madhya Pradesh, India, has brought out the lineament The operational status of the Landsat 1, 2, and 3 satellites, launched pattern, major structural trends, and main geological formations of in July 1972, January 1975, and March 1978, respectively, is the area. The lineaments in Bastar trend mainly NW-SE, NE-SW, N-S, indicated, and the direct acquisition of Landsat data by means of NNE-SSW, E-W and ENE-WSW, the NW-SE trend being the most ground stations located throughout the world is discussed. The predominant. The study of the lineaments indicates that the Central Landsat D satellite, planned to be launched in 1981 from a Space Bastar Plateau probably represents an uplifted block bounded on Shuttle Sortie mission, is described, with particular attention given to three sides by major faults. (Author) the new 5-band MSS system and thematic mapper instruments to be carried on board. Means of acquiring worldwide Landsat data are A80-51084 Tectonics and lineament patterns of the indicated, and applications of this data to mineral and energy Vindhyan basin based on Landsat imagery data. M. Krishnamurty resource exploration and to global comparative studies of rock types and V. C. Srivastava (Geological Survey of India, Lucknow, India). and mineral deposits are considered. A.L.W. In: Remote sensing and mineral exploration; Proceedings of the Workshop, Bangalore, India, May 29-June 9, 1979. A80-51079 Status and plans of SEO satellite and receiving Oxford. Pergamnn Press, Ltd., 1980, p. 95-33. station. D. S. Kamat (Indian Space Research Organization, Space A study of Landsat imagery of the Vindhyan basin covered Applications Centre, Ahmedabad, India). In: Remote sensing and 124,000 sq km on 1:1 million scale extending between the mineral exploration; Proceedings of the Workshop, Bangalore, India, coordinates 24 deg N to 26 deg N and 78 deg E to 84 deg E was May 29-June 9, 1979. Oxford, Pergamon Press, conducted to review the regional tectonics of the basin. The distinct Ltd., 1980, p. 25-38. set of lineaments trending (ENE-WSW) along the Son-Narmada and This paper describes the data products concerning the vidicon Asmara directions appears to have been responsible in pre-Bijawar camera payload data, the passive microwave radiometer payload times for carving out the Bijawar/Vindhyan basin. There appear to be data, and the data collection platform data to be collected from the a series of movements along these geosutures during Bijawar and Satellite for Earth Observation (SEO) which Indian Space Research Semri times and also at the end of Semri time. There are Organization is to launch in the near future. This paper also diamondiferous plugs along these two fractures as well as basemetal and radioactive mineralization, thus establishing the "idea that they describes, in brief, SEO satellite and ground receiving system for data are of deep seated crustal origin. (Author) reception when SEO is in orbit. (Author)

A80-51080 Geological ground-truths and Landsat imagery A80-51085 Lineaments and their tectonic significance in interpretation for parts of Karnataka State /India/. J. G. Krishna- relation to mineral potential in south India. M. Ahmad (Geological murty, K. P. Gopalakrishnan, and T. V. Ramachandran (Geological Survey of India, Hyderabad, India). In: Remote sensing and mineral Survey of India, Bangalore, India). In: Remote sensing and mineral exploration; Proceedings of the Workshop, Bangalore, India, May exploration; Proceedings of the Workshop, Bangalore, India, May 29-June 9, 1979. Oxford, Pergamon Press, Ltd.. 29-June 9, 1979. Oxford, Pergamon Press, Ltd., 1980, p. 101-104. 1980, p. 45-58. 23 refs. A lineament map of Peninsular India south of 21 deg N latitude was prepared involving 51 frames of Landsat I and Landsat II on A80-51081 Landsat exploration of Himalayan and Penin- scale 1:1 million. A study of this map has shown significant sular regions /Remote sensing and mineral exploration • Progress relationship of the lineaments in the tectonic history and sedimenta- report of work done in India/: I.G.C.P. Project 143. B. N. Raina. In: tion in parts of south India and the preferential location of features Remote sensing and mineral exploration; Proceedings of the Work- like mineralization, seismictty, hot springs, localization, and move- shop, Bangalore, India, May 29-June 9, 1979. ment of groundwater along the lineaments. (Author) Oxford, Pergamon Press, Ltd., 1980, p. 59-78. Work on this project was started in India in August, 1977. Six project areas were selected for such studies in areas of known A80-51086 Interfacing with SEO technology - A case mineralization. Five of these projects are located on the Precambrian study in geological application. J. K. Sircar, S. Chakravarti, P. K. rocks of the Indian Peninsular Shield and one in the Himalayan area. Guha, and P. K. Banerji (Geological Survey of India, Photography Work carried out so far includes collection of regional and detailed and Remote Sensing Div., Calcutta, India). In: Remote sensing and geological data, interpretation of regional structure and lineaments mineral exploration; Proceedings of the Workshop, Bangalore, India. from Landsat images and preparation of combined maps on which an May 29-June 9, 1979. Oxford, Pergamon Press, attempt has been made to integrate the Landsat data with the Ltd., 1980, p. 105-108. conventional data. In most cases it has been possible to establish The present paper embodies the results of a study on remotely relationships between the reported mineral occurrences and areas of sensed multispectral data, including panchromatic and CIR photo- intersection between major lineaments and/or curvilinear features. In graphs, 'rom an airborne sensor system with the dual aim of creating some cases such studies have thrown new light on the regional the necessary interfacing infrastructure for the utilization of the structure of the area and possible genetic relationship between the anticipated Indian Satellite for Earth Observation (SEO) technology mineral occurrences, structure and lithology of the area. (Author) and assessing the utility of data generated in this quasi-operational system simulation of the SEO. Specifically, the study involves an A80-51082 Fracture mapping of the Narmada-Tapti basin inventory of the interpretational possibilities of the various airborne using Landsat imagery. S. N. Pandey (Saugar, University, Sagar, data products involving both visual and computer aided analysis on a India). In: Remote sensing and mineral exploration; Proceedings of well defined geological problem within a small area of the Bihar Mica

190 04 GEOLOGY AND MINERAL RESOURCES

Belt, India. The study reveals that visual interpretation based on geological and affiliate purposes. Some case histories of successfull digitally enhanced data products has a distinct economic advantage application of Landsat images, standard issues and computer en- over fully automated schemes of pattern recognition. (Author) hanced, in exploration of different mineral resources in different regions of Yugoslavia are briefly discussed. Thermal infrared scanning A80-51087 Surface characteristics of Precambrian stroma- has been carried out in order to locate possible mineralized zones, to tolitic phosphorites of a part of the Indian shield. D. M. Banerjee check some geothermal anomalies, to solve certain coastal hydro- (Delhi, University, Delhi, India). In: Remote sensing and mineral geological and water pollution problems on Adriatic shore as well as exploration; Proceedings of the Workshop, Bangalore, India. May to perform the energy-loss survey for industrial and urban purposes. 29-June 9, 1979. Oxford, Pergamon Press, Ltd., (Author) 1980, p. 109-119. 10refs. The utility of aerial photographs and MSS imagery for explora- A80-51092 Application of Landsat-2 data for obtaining tion of Precambrian phosphorites in a part of Indian shield is land information. R. Haydn, F. Jaskolla, and J. Bodechtel (Zentral- discussed. In view of small dimensions of each deposit, the low stelle fur Geophotogrammetrie und Fernerkundung, Munich, West altitude aerial photography has been found suitable for exploration Germany). In: Remote sensing and mineral exploration; Proceedings purpose. Landsat MSS images with advance sensors may be found of the Workshop, Bangalore, India, May 29-June 9, 1979. useful in geo-chemical mapping and for identifying individual Oxford, Pergamon Press, Ltd., 1980, p. 151-155. phosphate units. (Author) A strategy for the routine utilization of Landsat data in the derivation of thematic information on the earth's surface is present- A80-51088 Application of remote sensing techniques to ed. The concept involves the acquisition of all available Landsat petroleum exploration in India. S. N. Talukdar (Oil and Natural Gas CCTs, thematic maps and additional literature, image preprocessing Commission, Institute of Petroleum Exploration, Dehra Dun, India). to obtain a preliminary interpretation of satellite images, and In: Remote sensing and mineral exploration; Proceedings of the subsequent verification and interpretation, making use of ground Workshop, Bangalore, India, May 29-June 9, 1979. truth data, digital image processing and conventional photointerpre- Oxford, Pergamon Press, Ltd., 1980, p. 121-126. tation. The application of the concept is illustrated for the The extensive use of remote sensing techniques in petroleum production of geological, vegetation, soil and potential land use maps exploration in India had a modest beginning in 1930s when the for the Targant region of the Sahel area of Mauritania. A.L.W. geologists of Assam Oil Company employed photogeological methods to map the densely forested, and highly inaccessible areas in A80-51093 Measurement results and conclusions on the Assam, Tripura and Mizoram in the eastern part of India. After the spectral reflective coefficients of volcanites, granitoides and gneisses. 'Oil and Natural Gas Commission' was set up in 1956, to explore for Kh. B. Spiridonov, A. Kh. Krumov (B'lgarska Akademiia na Naukite, petroleum in India, photogeological and photogeomorphological Tsentralna Laboratoriia po Kosmicheski Izsledvaniia, Sofia, Bulgar- studies were extended to cover all the sedimentary basins of interest ia), N. K. Katskov, and S. R. lovchev (Applied Research Laboratory, in India. With the availability of Landsat data, both visual and Sofia, Bulgaria). In: Remote sensing and mineral exploration; machine aided interpretation techniques have greatly facilitated the Proceedings of the Workshop, Bangalore, India, May 29-June 9, oil exploration efforts. An outline of the activities of Oil and Natural 1979. Oxford, Pergamon Press, Ltd., 1980, p. Gas Commission in this fascinating field is presented in this paper. 157-163. (Author) A80-51094 An automatic method of discriminating rock A80-51089 Evaluation of MSS imagery over part of the outcrops using Landsat data. P. Chagarlamudi (Haskins and Sells asbestos-barytes belt of south-western Cuddapah basin, Andhra Associates, Ottawa, Canada). In: Remote sensing and mineral Pradesh, India. D. N. Setti and K. Krishnanunni (Geological Survey exploration; Proceedings of the Workshop, Bangalore, India, May of India, Calcutta, India). In: Remote sensing and mineral explora- 29-June 9, 1979. • Oxford, Pergamon Press, Ltd., tion; Proceedings of the Workshop, Bangalore, India, May 29-June 9, 1980, p. 165-168. 1979. Oxford, Pergamon Press, Ltd., 1980, p. A method of discriminating rock outcrops has been developed 127-130. using Landsat data. The method, based on a hierarchical classification scheme, has been calibrated and tested in the Coppermine River A80-51090 Use of Landsat data products for geological area of the Northwest Territories of Canada. Maps showing outcrop mapping - A case history in Tamilnadu, India. V. Srinivasan, A. locations have been prepared using this method. These maps were Sevugan Chetty (Madras, State Geology Dept., Madras, India), V. L. compared with the published geological maps, field notes, and aerial Swaminathan, and V. Tamilarasan (Indian Space Research Organiza- photos. The study shows that rock outcrops can be uniquely tion, Space Application Centre, Ahmedabad, India). In: Remote identified and that discrimination among different rock types is sensing and mineral exploration; Proceedings of the Workshop, possible. Further, the results indicate that the Landsat data are as Bangalore, India, May 29-June 9, 1979. Oxford, good as aerial photos for locating rock outcrops. (Author) Pergamon Press, Ltd., 1980, p. 131-137. Under a joint project of Tamilnadu Geology Branch and Indian A80-51095 L-band radar and geology - Some results in Space Research Organization, various data products of Landsat-2 south-east of France. P. Rebillard (Institut Dolomien-Geologie et were utilized to prepare geological maps and lineament maps of Mineralogie, Grenoble, France). In: Remote sensing and mineral Archaean metamorphic terrain in Tamilnadu. Additional information exploration; Proceedings of the Workshop, Bangalore, India, May from aerial photographs and from ground checks were also incorpo- 29-June 9, 1979. Oxford, Pergamon Press, Ltd., rated for limited area taken up as test sites. The study has shown that 1980, p. 169-172. Research supported by the Centre National Landsat imagery and aerial photographs can be useful as tools in the d'Etudes Spatiales, Institut Dolomien-Geologie et Mineralogie, and hands of an experienced geologist, even though they have certain Commissariat a I'Energie Atomique. limitations particularly in crystalline shield areas. (Author) One L-Band Side Looking Airborne Radar experiment was carried out in the SW of the French Alpes in June, 1977. A A80-51091 Some results of remote sensing in Yugoslavia. comparison has been made between geological maps and aerial views B. Koscec (Industroprojekt Co., Zagreb, Yugoslavia). In: Remote taken with HH and HV polarization. Two results are remarkable: (1) sensing and mineral exploration; Proceedings of the Workshop, the roughness of the objects can influence the image on the pictures Bangalore, India, May 29-June 9, 1979. Oxford, in HH polarization, and (2) white marks in HH (and black in HV) can Pergamon Press, Ltd., 1980, p. 143-150. 8 refs. be seen; a field analysis has shown the structural reality of this line. A short history of application of remote sensing technology and These results should be correlated with results obtained from methods in Yugoslavia is given in the paper, with special emphasis to SEASAT or other sensors. (Author)

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N80-28852# Geological Survey. Reston. Va. 1979 5 p HCMM US GEOLOGICAL SURVEY SOURCES OF PHOTOGRAPHS (Contract NAS5-24232) AND IMAGES OF BIOSPHERE RESERVES TAKEN FROM (E80-10279: NASA-CR-163345) Avail: NTIS SPACECRAFT AND AIRCRAFT. SAN JOAQUIN EXPERI- HC A02/MF A01 CSCL 08B MENTAL RANGE Janet Bonner, comp. and Marrianne Moskowitz. comp. 1980 56 p N80-30865*jf Stanford Univ.. Calif. Dept. of Geology. (PB80-169295) Avail: NTIS HC A04/MF A01 CSCL 08F SOIL MOISTURE IN RELATION TO GEOLOGIC STRUCTURE Photographs and images of the San Joaquin experimental AND UTHOLOGY. NORTHERN CALIFORNIA range and adjacent areas available from the U.S. Geological Ernest I. Rich, Principal Investigator 21 Jul. 1980 2 p Survey (USGS) are listed. LANDSAT. Skylab. NASA aircraft, and HCMM USGS photographs are included in the listing. Computer listings (Contract NAS5-24479) of data are provided by the EROS Data Center which contains (E80-10298: NASA-CR-163352) Avail: NTIS in its archives all of the listed material in photographic form HC A02/MF A01 CSCL 08M and. in the case of LANDSAT images, can make available The author has identified the following significant results. computer-compatible magnetic tapes of any LANDSAT scene. Structural features in the Norther California Coast Ranges are GRA clearly discernable on Nite-IR images and some of the structural linears may result in an extension of known faults within the region. The Late Mesozoic marine sedimentary rocks along the N80-29798*# Jet Propulsion Lab., California Inst. of Tech., western margin of the Sacramento Valley are clearly defined on Pasadena. the Nite-IR images and in a gross way individual layers of GEOLOGIC APPLICATION OF THERMAL INERTIA IMAGING sandstone can be differentiated from shale. Late Pleistocene USING HCMM DATA Quarterly Report. Oct. - Dec. 1979 alluvial fans are clearly differentiated from second generation Helen N. Paley. Anne B. Kahle, and Stuart E. Matsh. Principal Holocene fans on the basis of tonal characteristics. Although Investigators May 1980 4 p HCMM the tonal characteristics change with the seasons, the differentia- (Contract NAS7-100) tion of the two sets of fans is still possible. (E80-10229: NASA-CR-163334) Avail: NTIS HC A02/MF A01 CSCL 058 N80 30866*# Consiglio Nazionale delle Ricerche. Milan (Italy). Inst. per la Geofisica della LJtosfera. STUDY OF GEOLOGICAL STRUCTURE OF SICILY AND N80-29799*# Geological Survey. Denver, Colo. OTHER ITALIAN AREAS Progress Report GEOLOGIC APPLICATION OF THERMAL-INERTIA MAP- Roberto Cassinis. Principal Investigator. Giovanni Lechi, Eugenio PING FROM SATELLITE Progress Report. Mar. - May Zilioli, and Alberto Marini Jun. 1980 6 p Sponsored by 198O NASA HCMM Terry W. Offield. Principal Investigator. Susanne H. Miller, and (E80-10299: NASA-CR-163353: PR-3) Avail: NTIS Kenneth Watson Jun. 1980 5 p Sponsored by NASA HC A02/MF A01 CSCL 08B HCMM (E80-10230: NASA-CR-163335) Avail: NTIS HC A02/MF A01 CSCL 08B N80 30881 # Edgerton. Germeshausen and Grier. Inc.. Sunnyvale. The author has identified the following significant results. Calif. Two night-time thermal images of the Powder River Basin, AERIAL GAMMA RAY AND MAGNETIC SURVEY: RATON Wyoming distinctly show a major thermal feature. This feature BASIN PROJECT. THE RATON AND SANTA FE QUAD- is substantially coincident with a drainage divide and the RANGLES OF NEW MEXICO Final Report southward facing slope appears cooler, suggesting a lower thermal Dec. 1979 324 p refs inertia. An initial examination of regional geologic maps provides (Contract EY-76-C-13-1664) no clear evidence to suggest what type of geologic feature or (GJBX-9(80)-Vol-2) Avail: NTIS HC A14/MF A01 structure may be present, although it can be noted that its The Santa Fe quadrangle in central New Mexico lies principally northeastern end passes directly through Lead. South Dakota within the Southern Rocky Mountains and Great Plains Provinces. where the Homestake Gold Mine is located. The west is dominated by the Sangre de Cristo Mountains. The eastern and southern regions contain portions of the Sierra Grande N80-29800*# Jet Propulsion Lab.. California Inst. of Tech.. Arch and the Las Vegas' and Tucumcari Basins. These structures Pasadena. primarily contain permian. triassic. cretaceous, and tertiary GEOLOGIC APPLICATION OF THERMAL INERTIA IMAGING sediments. Many areas of the quadrangle are covered by USING HCMM DATA Quarterly Report. Jan. - Mar. 1980 cretaceous through quaternary igneous rocks of a variety of Helen N. Paley and Anne B. Kahle. Principal Investigators May types. Magnetic data reflect both deep and shallow sources. 1980 4 p HCMM The basins show as regions of low frequency/low amplitude (Contract NAS7-100) wavelengths except where significant amounts of igneous rocks (£80-10231: NASA-CR-163336) Avail: NTIS are exposed. The Santa Fe quadrangle has been unproductive HC A02/MF A01 CSCL 08B in terms of uranium. All known uranium occurrences to date have proven uneconomic. Two goups of anomalies in the Sangre de Cristo Mountains appear to be most significant in terms of N80-29817*# Phoenix Corp., McLean. Va. their peak count rates. DOE IMPROVED DEFINITION' OF CRUSTAL ANOMALIES FOR MAGSAT DATA Quarterly Report 25 Jun. 1980 3 p ERTS N80-32O13# Bureau of Mines and Geology. Moscow, Idaho. (Contract NAS5-25882) Dept. of Lands. (E80-10270: NASA-CR-163342: QR-3) Avail: NTIS ADDITIONS AND CORRECTIONS TO THE BIBLIOGRAPHY HC A02/MF A01 CSCL 08G OF GEOLOGIC STUDIES. COLUMBIA PLATEAU (COLUM- BIA RIVER BASALT) AND ADJACENT AREAS. IN IDAHO. 1980 N80-29822*/? Stanford Univ.. Calif. Dept. of Applied Earth William Strowd and Gail S. Hustedde 1980 124 p refs Sciences. (Contract DE-AC02-77RL-01030) GEOLOGICAL AND GEOTHERMAL DATA USE INVESTIGA- (RHO-BWI-C-68) Avail: NTIS HC A06/MF A01 TIONS FOR APPLICATION EXPLORER MISSION A (HEAT Materials that have become available since the original CAPACITY MAPPING MISSION) Technical Report. 1 Oct. publication and pertinent literature that had originally been 31 Dec. 1979 overlooked are included. Index maps that show locations of R. J. P. Lyon afid A. E. Prelat. Principal Investigators 31 Dec. geologic studies and geochemical petrographic. remanent

192 04 GEOLOGY AND MINERAL RESOURCES

paleomagnetic. and radiometnc age-dated sites within the N80 33842# Institute de Pesquisas Espaciais. Sao Jose dos Columbia River Basalt Group field within Idaho are presented. Campos (Brazil). Archeological sites, test wells, mines, quarries, and other types CONTRIBUTIONS OF LANDSAT IMAGERY TO THE of excavations are also identified. DOE GEOLOGICAL MAPPING OF THE RIO DO GRANDE SUL SHIELD (CONTRIBUICAO DAS IMAGENS LANDSAT AO CONHECIMENTO GEOLOGICO DE ESCUDO SUL RIOGRAN N80-32837# Institute de Pesquisas Espaciais. Sao Jose dos DENSE) Campos (Brazil). Tomoyuki Ohara Aug. 1980 11 p refs In PORTUGUESE: REMOTE SENSING APPLIED TO THE PROSPECTING OF .ENGLISH summary Presented at 32d Ann. Reunion of the GEOTHERMAL ANOMALY IN CALDAS NOVAS COUNTY. Brazilian Soc. for the Progr. of Sci.. Rio de Janeiro. 6-12 Jul STATE OF GOIAS. BRAZIL 1980 Paulo Veneziani and Cello Eustaquio DosAnjos Jun. 1980 6 p ONPE-1838-RPE/199) Avail: NTIS HC A02/MF A01 refs Presented at the 14th Intern. Symp. on Remote Sensing The geological mapping in the central western portion of of Environ.. San Jose. Costa Rica. 23-30 Apr. 1980 Rio Grande do Sul Shield was performed by the use of LANDSAT (INPE-1792-RPE/164) Avail: NTIS HC A02/MF A01 multispectral images at the scale of 1.500.000. The conventional Thermally anomalous areas associated with hot waters in photointerpretation was utilized for the geological investigation. the County of Caldas Novas. State of Goias. Brazil were studied. The process of extracting information from LANDSAT imagery Data collection using a 50 cm soil thermometer and a Precision was based on the analysis of the various features on the Earth's Radiation Thermometer indicated the presence of four principal surface, which reflect in diverse photographic elements such as anomalies. These areas were verified in the field. In the area of tonal, drainage, topographic, vegetal and land use patterns, in the town of Caldas Novas, of 14 deep wells drilled, none revealed each spectral band. A general geological view was given in the water temperatures from 33 to 41 C. two contained hot mud. attached stratigraphic column. Interpretation of LANDSAT imagery and one contained sulfurous water measured at 29 C. Two day also shows that U) the distribution of Santa Barbara Formation wells were also encountered. L.F.M. is wider than that shown on the existing geological maps: (2) the subdivision of the Guaritas Formation into Varzinha and Guarda N80-32844$ Bureau of Mines. Denver, Colo. Denver Research Velha Layers is possible: and 13) the granitic bodies and Center. heterogeneous migmatites of the southeastern portion of the DEVELOPMENT OF A METHOD TO DETECT GEOLOGIC study area are considerably different from the existing geological FAULTS AND OTHER LINEAR FEATURES FROM LA NO SAT maps. A.R.H. IMAGES Report of Investigations. 1980 Richard G. Burdick and Robert A. Speirer 1980 81 p refs N80 33843# Institute de Pesquisas Espaciais. Sao Jose dos (PB80-189665; BM-RI-8413) Avail: NTIS HC A05/MF A01 Campos (Brazil). CSCL 08G DIGITAL FILTERING OF LANDSAT IMAGES AS A VISUAL A detection method for use with a minicomputer was AID TECHNIQUE IN GEOLOGICAL PHOTOINTERPRETA- developed. The method comprises a suite of programs that scans TION [FILTRAGENS DIGITAIS DE IMAGENS LANDSAT an image for all 'potential' lineaments. From this partially analyzed COMO TECNICA DE AUXILIO VISUAL NA FOTOINTERPRE data, the final lineaments are picked by another routine. The TACAO GEOLOGICA] method was field tested and results indicated good agreement Waldir Renato Paradella Jul. 1980 14 p refs In PORTUGUESE: between computer picked lineaments and ground features. GRA ENGLISH summary Presented at 31st Congr. of the Brazilian Geol. Soc.. San Catarina. Brazil, 19-25 Oct. 1980 Submitted N80-32845# Columbia Univ.. New York. Aldndge Lab. of for publication Applied Geophysics. (INPE-1823-RPE/189) Avail: NTIS HC A02/MF A01 DETECTION OF HIDDEN MINERAL DEPOSITS BY AIR- Digital filtering techniques of LANDSAT imagery were BORNE SPECTRAL ANALYSIS OF FOREST CANOPIES developed as an aid to geologic photointerpretation. Concepts William Collins. Sheng-Huei Chang, and John T. Kuo 1979 and general procedures are provided for the utilization of these 66 p refs automatic enhancement techniques. S.F. (Grant NSF DAR-78-16320) (PB80-193881: NSF/RA-800041) Avail: NTIS HC A04/MF A01 CSCL 08G Field surveys and data analysis of four biogeochemical test sites confirmed the ability of an airborne system with high spectral resolution to detect an anomalous spectral waveform that appeared to be associated with sulfide mineralization. Known or suspected sulfide zones were detected on each site. GRA

N80-33824 Colorado Univ. at Boulder. A MULTI-STEP METHOD FOR AVALANCHE ZONE REC- OGNITION AND ANALYSIS Ph.D. Thesis Thomas Patrick Huber 1980 183 p Avail: Univ. Microfilms Order No. 8021587 Analytical tools were used to determine avalanche areas and runout zone limits in the Silverton Quadrangle. Colorado, which is located in the central San Juan Mountain Range. Vegetation and geomorphic features were analyzed by the use of natural color and color infrared aerial imagery to produce map. The geomorphology of avalanche runout zones was used to verify and rectify the proceeding mapped areas. The more distinctive features of this morphology included the concave longitudinal profile of the slope, the impact evidence across valleys, and the prominent convex transverse profile. This latter feature is primarily due to the deposition of impounded detritus by the snow avalanche. Finally the changes in soil development brought about by renewed deposition of this detritus were analyzed. It was shown that soil profile differences can be used to delimit the zone of avalanche modification and. therefore, the zone of greatest hazard. Dissert. Abstr.

193 Page Intentionally Left Blank 05 A80-46095 # Methods for the extraction of long-period ocean wave parameters from narrow beam HF radar sea echo. B. Lipa OCEANOGRAPHY AND MARINE (SRI International, Menlo Park, Calif.) and D. Barrick (NOAA, Wave RESOURCES Propagation Laboratory, Boulder, Colo.). Radio Science, vol. 15, July-Aug. 1980, p. 843-853. 23 refs. Contract No. NOAA- Includes sea-surface temperature, ocean bottom surveying 03-78-BOM 19. imagery, drift rates, sea ice and icebergs, sea state, fish location. A80-46309 Observation of wavelike motion of the Gaspe Current. C. L. Tang (Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada). Journal of Physical Oceanography, vol. 10, A80-44232 * H Microwave radiometric aircraft observations of June 1980, p. 853-860. 9 refs. the Fabry-Perot interference fringes of an ice-water system. R. F. A simple theoretical model of barotropic instability proposed by Harrington, C. T. Swift, and J. C. Fedors (NASA, Langley Research Niiler and Mysak (1971) is used to investigate two events observed in Center, Hampton, Va.). COSPAR and Inter-Union Commission on the movement of the Gaspe Current in the summer of 1978. Radio Meteorology, Symposium on Oceanography from Space, According to the current meter and satellite data, on the first Venice, Italy, May 26-30, 1980, Paper. 8 p. occasion the axis of the current moved offshore and the deep current Airborne stepped-frequency microwave radiometer (SFMR) reversed its normal seaward direction, then a wavelike structure was observations of the Fabry-Perot interference fringes of ice-water formed, distorted, and finally, collapsed. The time span of the event systems are discussed. The microwave emissivity at normal incidence is about 10 days. In the second event a wavelike structure with an of a smooth layered dielectric medium over a semi-infinite dielectric estimated wavelength of 60 km was also preceded by a shift in the medium is examined for the case of ice over water as a function of position of the Gaspe Current. The barotropic instability model ice thickness and attenuation coefficient, and the presence of predicts an e-folding time of 1 day, a wavelength of 52 km and a quarter-wavelength oscillations in emissivity as the ice thickness and period of 4 days, which compare well with the observed wavelength frequency are varied is pointed out. Experimental observations of of 60 km and a period of 3-5 days. V.L. pronounced quarter-wavelength oscillations in radiometric brightness temperature due to the Fabry-Perot interference fringes over smooth sea ice and lake ice varying in roughness as the radiometer A8046315 Dynamical interpretation of satellite-sensed thermal features off Vancouver Island. W. J. Emery and L. A. Mysak frequencies were scanned are then presented. A.L.W. (British Columbia, University, Vancouver, Canada). Journal of Physical Oceanography, vol. 10, June 1980, p. 961-970. 28 refs. Contract No. N00014-77-G-0047. Two series of very high resolution thermal infrared satellite A80-45004 * § Ocean chlorophyll studies from a U-2 aircraft images, off Vancouver Island, are examined for evidence of baro- platform. H. H. Kim, C. R. McClain, L. R. Blaine (NASA, Goddard clinic waves. A 1979 winter sequence of three images exhibits cold Space Flight Center, Greenbelt, Md.), W. D. Hart (Science Systems tongues, extending seaward from Vancouver Island, which have and Applications, Inc., Lanham, Md.), L. P. Atkinson, and J. A. Yoder (Skidaway Institute of Oceanography, Savannah, Ga.). Journal separations (wavelengths), northwest phase speeds and growth rates of Geophysical Research, vol. 85, July 20, 1980, p. 3982-3990. 18 consistent with a model of baroclinically unstable waves. An earlier refs. summer series of eight images displays no such propagation behavior, Chlorophyll gradient maps of large ocean areas were generated which may be due to upper layer thermal changes from solar from U-2/OCS data obtained over test sites in the Pacific and the insolation. (Author) Atlantic Oceans. The delineation of oceanic features using the upward radiant intensity relies on an analysis method which A80-46316 Direct measurement of recirculation in the presupposes that radiation backscattered from the atmosphere and Alaskan Stream. R. K. Reed (NOAA, Pacific Marine Environmental the ocean surface can be properly modeled by using a measurement Laboratory, Seattle, Wash.). Journal of Physical Oceanography, vol. made at 778 nm. The calculation of atmospheric radiance was 10, June 1980, p. 976-978. 10 refs. NOAA-supported research. performed by using a method developed by Dave. An estimation of Three drifting buoys were deployed off Kodiak Island and the chlorophyll concentration is performed by properly ratioing tracked by satellite in summer 1978; all three veered out of the radiances measured at 472 and 548 nm after removing the southwestward flowing Alaskan Stream and moved to the east and atmospheric effects. The correlation between the remotely sensed northeast around the Gulf of Alaska gyre. This is the first direct data and the in situ surface chlorophyll measurements has been measurement of recirculation around the gyre, but the pattern is validated in two sets of data. The results show that the correlation strikingly similar to what was inferred two to three decades ago from between the in situ measured chlorophyll and the derived quantity is property distributions, and it has been predicted theoretically. a negative exponential function, and the correlation coefficient was (Author) calculated to be -0.965. (Author) A80-48750 Thermal fronts in the Mediterranean according to NOAA 5 satellite radiometer data /September 1977-February A80-45015 /• Satellite observations of a nutrient upwelting 1979/ (Fronts thermiques en Mediterranee, d'apres les donnees du off the coast of California. E. D. Traganza, D. A. Nestor, and A. K. radiometre du satellite NOAA 5 /septembre 1977-fevrier 19797). M. McDonald (U.S. Naval Postgraduate School, Monterey, Calif.). Philippe (Establissement d'Etudeset de Recherches Meteorologiques, Journal of Geophysical Research, vol. 85, July 20, 1980, p. Boulogne-Billancourt, Hauts-de-Seine, France). Academie des 4101-4106. 11 refs. Navy-supported research. Sciences (Paris), Comptes Rendus, Serie B - Sciences Physiques, vol. Satellite thermal imagery is combined with automated chemical 291, no. 1, July 7, 1980, p. 43-46. 6 refs. In French. analysis of surface waters off central California to detect and better A map of surface thermal fronts in the Mediterranean Sea understand a 'nutrient upwelling' entering the California Current obtained from NOAA-5 satellite infrared very high resolution system. While thermal surface water features have been mapped radiometer data for September 1977 to February 1979 is presented, successfully from satellites for a number of years, the relationship of and the phenomena associated with them are identified. The fronts, satellite thermal imagery to nutrients, such as nitrates and phos- with thermal gradients greater than or equal to 1 C/10 km, are found phates, has not been established. As a result of such efforts, satellite to be associated with the principle Mediterranean current, especially remote sensors may help to explain the relationship between above vortices located between the current axis and the African coast chemical mesoscale and pelagic ecosystems of the ocean. (Author) and abnormally long continental shelves, and with cyclonic circula-

195 05 OCEANOGRAPHY AND MARINE RESOURCES

tions supplied by branches of the principle current, including those A80-51409 * Comparison! between wave directional spectra of adjoining seas. A.L.W. from SAR and pressure sensor arrays. S. S. Pawka, D. L. Inman (California, University, La Jolla, Calif.), S. V. Hsiao, and 0. H. Shemdin (California Institute of Technology, Jet Propulsion A80-49651 ff The three-dimensional structure of the frontal Laboratory, Pasadena, Calif.). Journal of Geophysical Research, vol. zone of the Gulf Stream from synchronous satellite and ship data 85, Sept. 20, 1980, p. 4987-4995. 9 refs. Contracts No. (Trekhmernaia struktura frontal'noi zony Gol'fstrima po sinkhron- N00014-75-C-0300; No. NAS7-100; No. JPL-954672. nym dannym sputnika i korablia). V. E. Skliarov and K. N. Fedorov Simultaneous directional wave measurements were made at (Akademiia Nauk SSSR, Institut Okeanologii, Moscow, USSR). Torrey Pines Beach, California, by a synthetic aperture radar (SARI Issledovanie Zemli /> Kosmosa, May-June 1980, p. 5-13. 12 refs. In and a linear array of pressure sensors. The measurements were Russian. conducted during the West Coast Experiment in March 1977. NOAA satellite data are used in conjunction with ship data to Quantitative comparisons of the normalized directional spectra from study the three-dimensional structure of the frontal zone of the Gulf the two systems were made for wave periods of 6.9-17.0 s. The Stream in the vicinity of a cold filament of slope water entrained comparison results were variable but generally showed good across the front. It is shown that this part of the Gulf Stream agreement of the primary mode of the normalized directional energy. contains a well-developed cyclonic eddy 25-30 km in diameter which An attempt was made to quantify the physical criteria for good wave moves downstream at a velocity of 50 cm/sec. B.J. imaging in the SAR. A frequency band analysis of wave parameters such as band energy, slope, and orbital velocity did not show good correlation with the directional comparisons. It is noted that A80-50300 ft The problems of SAR imagery of ocean waves absolute values of the wave height spectrum cannot be derived from (Osobennosti izobrazheniia morskikh voln v RSA). A. V. Ivanov the SAR images yet and, consequently, no comparisons of absolute (Akademiia Nauk SSSR, Institut Radiotekhniki i Elektroniki, Mos- energy levels with corresponding array measurements were intended. cow, USSR). Radiofizika. vol. 23, no. 8, 1980, p. 923-933. 17 refs. (Author) In Russian. The effect of defocusing of synthetic aperture radar (SAR) A80-51411 * ft Synthetic aperture radar imaging of ocean imagery of ocean waves, caused by wave motion is studied. waves - Comparison with wave measurements. W. McLeish, D. Ross Consideration is given to the speed modulation of imagery bright- (NOAA, Sea-Air Interaction Laboratory, Miami, Fla.l, R. A. ness. The analysis employs a two-scale model of VHP radiation Shuchman (Michigan, Environmental Research Institute, Ann Arbor, scattering. V.T. Mich.), P. G. Teleki (U.S. Geological Survey, Reston, Va.), S. V. Hsiao, 0. H. Shemdin, and W. E. Brown, Jr. (California Institute of Technology, Jet Propulsion Laboratory, Pasadena, Calif.). Journal of A80-51407 * H Comparison of surface wind stress measure- Geophysical Research, vol. 85, Sept. 20, 1980, p. 5003-5011. 34 ments - Airborne radar scatterometer versus sonic anemometer. J. T. refs. NOAA-NASA-Navy-Army-supported research. Brucks, T. D. Leming (NOAA, National Fisheries Engineering Synthetic aperture radar images of ocean waves were obtained in Laboratory, Bay Saint Louis, Miss.), and W. L. Jones (NASA, conjunction with reference wave data near Marineland, Florida, Langley Research Center, Hampton, Va.). Journal of Geophysical December 14, 1975. Each of the various types of measurements were Research, vol. 85, Sept. 20, 1980, p. 4967-4976. 13 refs. processed into a form that allowed direct comparisons with the Sea surface wind stress measurements recorded by a sonic others. Maxima of radar spectra occurred at the same frequencies as anemometer are correlated with airborne scatterometer measure- the maxima of reference wave height spectra. In a comparison of a ments of ocean roughness (cross section of radar backscatter) to radar spectrum with observed spectra of wave height, wave orbital establish the accuracy of remotely sensed data and assist in the velocity, and surface slope the high-frequency portion of the radar definition of geophysical algorithms for the scatterometer sensor spectrum lay near and between the wave height and the orbital aboard Seasat A. Results of this investigation are as follows: velocity spectra but differed significantly from the surface slope Comparison of scatterometer and sonic anemometer wind stress spectrum. The radar-derived mean directions and model-fitted measurements are good for the majority of cases; however, a directional spreads of wave energy were close to the values from a tendency exists for. scatterometer wind stress to be somewhat high directional wave buoy and indicated the accuracy of radar for higher wind conditions experienced in this experiment (6-9 m/s). measurements of wave direction. However, a directional plot of a The scatterometer wind speed algorithm tends to overcompute the radar spectrum near shore at the frequency of the maximum showed higher wind speeds by approximately 0.5 m/s. This is a direct result a sharper peak than such a plot of a fitted spectrum derived from of the scatterometer overestimate of wind stress from which wind reference data. (Author) speeds are derived. Algorithmic derivations of wind speed and direction are, in most comparisons, within accuracies defined by Seasat A scatterometer sensor specifications. (Author) A80-51415 * Modulation of sea surface radar cross section by surface stress - Wind speed and temperature effects across the A80-51408 * Radar observations of wave transformations in Gulf Stream. D. E. Weissman (Hofstra University, Hempstead, N.Y.K the vicinity of islands. J. F. Vesecky, C. C. Teague (Stanford T. W. Thompson (California Institute of Technology, Jet Propulsion University, Stanford, Calif.), S. V. Hsiao, O. H. Shemdin (California Laboratory, Pasadena, Calif.), and R. Legeckis (NOAA, National Institute of Technology, Jet Propulsion Laboratory, Pasadena, Environmental Satellite Service, Washington, D.C.). Journal of Calif.), and S. S. Pawka (California, University, La Jolla, Calif.). Geophysical Research, vol. 85, Sept. 20, 1980. p. 5032-5042. 26 Journal of Geophysical Research, vol. 85, Sept. 20, 1980, p. refs. Contract No. NAS7-100. 4977-4986. 21 refs. Contracts No. N00014-75-C-0356; No. NAS7- 100. A80-51485 Sensing the ocean environment from space. J. Remote sensing by ground-based HF radar and airborne syn- H. Guill (Lockheed Missiles and Space Co., Inc., Sunnyvale, Calif.). thetic aperture radar and in situ wave measurements performed on Lockheed Homons, Fall 1980, p. 2-15. March 25, 1977 during the West Coast Experiment have made it Cost benefits of roughly $9 billion till the end of the century possible to form an overall picture of the 7-sec-period wave climate and other advantages (maritime transportation, fishing, arctic opera- over a 35,000 sq km region off the southern California coast. The tion, etc.) of oceanographic satelites are presented. The benefits from picture which emerges from these measurements shows a broad the Seasat-A satellite (launched 1978) are discussed and built upon in deep-ocean directional distribution arriving from the west and being the proposed National Oceanic Satellite System for the 1980's. significantly modified as it travels coastward passing San Clemente Coastal zone color scanning and Gulf Stream mapping procedures and Santa Catalina islands. B.J. would be possible and river effluents, ice conditions and storms

196 05 OCEANOGRAPHY AND MARINE RESOURCES

could be studied. Data transmission features are considered with hancement, however, showed the distribution of oil on the surface. emphasis on the economic challenge. R.C. Aerial observations made within a few hours of the Landsat overpass confirmed the distribution of floating oil. The detection (on Landsat A80-51490 * Nimbus-7 coastal zone color scanner - System images) of floating oil from submarine seeps indicates a potentially description and initial imagery. W. A. Hovis, D. K. Clark (NOAA, valuable application for offshore oil exploration and environmental National Environmental Satellite Service, Washington, D.C.), F. monitoring. (Author) Anderson (National Research Institute for Oceanology, Cape Town, Republic of South Africa), R. W. Austin, W. H. Wilson (California, University, Scripps Institution of Oceanography, San Diego, Calif.), A80-53683 The availability of U.S. environmental satellite E. T. Baker (NOAA, Pacific Marine Environmental Laboratory, data to the marine technology community. B. H. Needham (NOAA, Seattle, Wash.), D. Ball (Computer Sciences Corp., Silver Spring, Satellite Data Services Div., Washington, D.C.). In: Marine technolo- Md.), H. R. Gordon (Miami, University, Coral Gables, Fla.l, J. L. gy 79: Ocean energy; Proceedings of the Fifteenth Annual Confer- Mueller (NASA, Goddard Space Flight Center, Laboratory for ence, New Orleans, La., October 10-12, 1979. Atmospheric Sciences, Greenbelt, Md.), and S. Z. El-Sayed (Texas A Washington, D.C., Marine Technology Society, 1979, p. 218-222. & M University, College Station, Tex.). Science, vol. 210, Oct. 3, The United States Archive of environmental satellite data at the 1980, p. 60-63. 15 refs. Contract No. NAS5-22963. Satellite Data Services Division of NOAA represents a unique source Initial imagery from the Nimbus-7 Coastal Zone Color Scanner of information for various investigations within many scientific (CZCS) shows subtle variations in water color. Organisms, especially disciplines. While primarily intended for meteorological purposes, phytoplankton, play a major influence on the variations in water many sensors orbited on the more recent spacecraft (i.e., Seasat and color. Processing of the visual data is described, and in particular, the Nimbus-7) also provide data of great value to the marine sciences. use of an algorithm to remove aerosol from the image is discussed. The data held within the Archive consist of imagery in both Data on the six spectral bands (433-12,500 nm) are presented and photographic and digital tape formats, and derived parameters (i.e., comparisons are made between the CZCS and the Landsat-1 wave heights, wind speed, wind directions, sea-surface temperature, multispectral scanner. The implications for management of fisheries etc.) on digital tapes and paper printouts. While the Archive in its is noted. R.C. present form was initiated only in late 1974, photographic imagery from the earliest meteorological satellites of the 1960s through the A80-51491 * Phytoplankton pigments from the Nimbus-7 latest polar-orbiting and geostationary spacecraft are included in the Coastal Zone Color Scanner - Comparisons with surface measure- files. (Author) ments. H. R. Gordon (Miami, University, Coral Gables, Fla.), D. K. Clark, W. A. Hovis (NOAA, National Environmental Satellite Service, A80-53691 Platform and buoy positioning experiments in Washington, D.C.), and J. L. Mueller (NASA, Goddard Space Flight the North Sea via Doppler satellite techniques. G. Seeber (Hannover, Center, Laboratory for Atmospheric Sciences, Greenbelt, Md.). Universitat, Hanover, West Germany). In: Marine technology 79: Science, vol. 210, Oct. 3, 1980, p. 63-66. 11 refs. Contract No. NAS5-22963. Ocean energy; Proceedings of the Fifteenth Annual Conference, New Algorithms are developed for removing aerosol effects in visual Orleans, La., October 10-12, 1979. Washington, data from the Nimbus-7 Coastal Zone Color Scanner (CZCS). The D.C., Marine Technology Society, 1979, p. 405-409. 9 refs. Research corrected imagery reveals eddy-like ocean circulation patterns. sponsored by the Deutsche Forschungsgemeinschaft; Bundesmini- Pigment concentrations from CZCS are compared with surface sterium fur Forschung und Technologie Contract No. MTK-0057. determinations. CZCS imagery estimates pigment concentration to within 0.5 log C, where C is the sum of the concentrations of chlorophyll a and phaeopigments a. R.C. A80-54060 Observed short-time temperature variations and tidal current constants in the North Sea south east of the Dogger Bank /Comparison of two seasons/. H. W. Riepma (Koninklijk A80-52331 * Oil film thickness measurement using airborne Nederlands Meteorologisch Instituut, De Bill, Netherlands). Deutsche laser-induced water Raman backscatter. F. E. Hoge (NASA, Wallops Hydrographische Zeitschrift, vol. 33, no. 2, 1980, p. 82-89. 6 refs. Flight Center, Wallops Island, Va.) and R. N. Swift (EG & G Washington Analytical Services Center, Inc., Pocomoke City, Md.). N80-28847*# Jet Propulsion Lab.. California Inst. of Tech.. Applied Optics, vol. 19, Oct. 1, 1980, p. 3269-3281. 20 refs. Pasadena. The use of laser-induced water Raman backscatter for remote SATELLITE REMOTE SENSING FACILITY FOR OCEANO- thin oil film detection and thickness measurement is reported here GRAHIC APPLICATIONS Final Report for the first time. A 337.1-nm nitrogen laser was used to excite the R. H. Evans. S. S. Kent, and J. 8. Seidman 1 Jul. 1980 76 p 3400-cm-1 OH stretch band of natural ocean water beneath the oil refs slick from an altitude of 150 m. The signal strength of the 381-nm (Contract NAS7-100) water Raman backscatter was always observed to depress when the (NASA-CR-163363: JPL-Pub-80-40) Avail: NTIS oil was encountered and then return to its original undepressed value HC A05/MF A01 CSCL 08C The project organization, design process, and construction after complete aircraft traversal of the floating slick. After removal of a Remote Sensing Facility at Scripps Institution of Oceanogra- of background and oil fluorescence contributions, the ratio of the phy at LaJolla. California are described. The facility is capable depressed-to-undepressed airborne water Raman signal intensities, of receiving, processing, and displaying oceanographic data together with laboratory measured oil extinction coefficients, is used received from satellites. Data are primarily imaging data to calculate the oil film thickness. (Author) representing the multispectral ocean emissions and reflectances, and are accumulated during 8 to 10 minute satellite passes A80-53054 Landsat detection of oil from natural seeps. M. over the California coast. The most important feature of the Deutsch (U.S. Geological Survey, Reston, Va.) and J. E. Estes facility is the reception and processing of satellite data in real (California, University, Santa Barbara, Calif.). Photogrammetric time, allowing investigators to direct ships to areas of interest for on-site verifications and experiments. LF.M. Engineering and Remote Sensing, vol. 46, Oct. 1980, p. 1313-1322. 13 refs. Oil on the ocean surface from the natural seeps in the Santa N80-28939*# University of Central Florida. Orlando. Barbara Channel, California, could not be detected on frames of any A CONTINUATION OF BASE-LINE STUDIES FOR ENVIRON of the four bands of standard Landsat positive or negative film MENTALLY MONITORING SPACE TRANSPORTATION transparencies, nor could the slicks be detected using digital scaling, SYSTEMS AT JOHN F.KENNEDY SPACE CENTER. VOLUME density slicing, or ratioing techniques. Digital contrast-stretch en- 3. PART 1: ICHTHYOLOGICAL SURVEY OF LAGOONAL

197 05 OCEANOGRAPHY AND MARINE RESOURCES

WATERS Final Report The ability to use radar' to discriminate ice types has been F. F. Snelson. Jr. Jul. 1980 436 p refs investigated. Radar backscatter measurements were made of (Contract NAS10-8986) shorefast sea ice near Point Barrow. Alaska in May 1977 and (NASA-CR-163122; KSC-TR-51-2-Vol-3-Pt-1) Avail: NTIS April 1978. with a surface-based FM-CW scatterometer that HC A19/MF A01 CSCL 13B swept from 1-2 GHz and from 8.5-17.5 GHz. The 1-2 GHz Ichthyological species in the Indian River lagoonal system measurements showed that thick first-year and multiyear sea likely to be. affected by NASA's aerospace activities at the Kennedy ice cannot be distinguished at 10 deg-70 deg incidence angles, Space Center were surveyed. The importance of the fish found but that undeformed sea ice can be discriminated from pressure- to inhabit the waters in the area is analyzed. A.R.H. ridged thick first-year sea ice and lake ice. Results also indicate that frequencies between 8-18 GHz have the ability to discriminate N80-28940*# University of Central Florida, Orlando. between thick first-year sea ice. multiyear sea ice. and lake ice. A CONTINUATION OF BASE-LINE STUDIES FOR ENVIRON- The lowest frequency. 9 GHz, was found to provide the greatest MENTALLY MONITORING SPACE TRANSPORTATION separation between these ice categories with significant levels SYSTEMS AT JOHN F. KENNEDY SPACE CENTER. VOLUME of separation existing between angles of incidence from 15 deg 3. PART 2: ICHTHYOLOGICAL STUDIES. SAILFIN MOLLY to 70 deg The radar cross-sections for the like polarizations, REPRODUCTION STUDY Final Report VV and HH, were very similar in absolute level and angular F. F. Snelson. Jr. Jul. 1980 182 p refs response. The radar cross-sections for VV-polarization were usually (Contract NAS10-8986) the highest in absolute level Cross-polarization provided a (NASA-CR-163122: KSC-TR-51-2-Vol-3-Pt-2) Avail: NTIS slightly greater separation between these categories of ice. GRA HC A09/MF A01 CSCL 13B The applicability of monitoring populations of Poccilia latipinna (sailfin molly) and its reproductive efforts as reliable indicators N80-30850*# Royal Australian Navy Research Lab., Edgecliff. of environmental effects of aerospace activities in the Kennedy HEAT CAPACITY MAPPING MISSION PROJECT HCM-051 Space Center area was investigated. Results show that the sailfin Interim Report molly experiences drastic fluctuations in population and reproduc- C. S. Nilsson. J. C. Andrews, M. W. Lawrence. S. Ball (Weapons tive success and is not an appropriate factor for monitoring to Systems Research Lab.. Salisbury, Australia), and A. R. Latham, establish perturbations of the environment due to space Principal Investigators May 1980 70 p refs Sponsored by transportation system related activities. A.R.H. NASA Original contains imagery. Original imagery may be purchased from NASA Goddard Space Flight Center, (code 601). Greenbelt. Md. 20771. Domestic users send orders to 'Attn: N80-29005*# National Aeronautics and Space Administration, National Space Science Data Center', nondomestic users send Washington. D. C. orders to 'Attn. World Data Center A for Rockets and Satellites'. NASA OCEANIC PROCESSES PROGRAM: STATUS HCMM REPORT, FISCAL YEAR 1980 (E80-10278: NASA-CR-163344; lmernal-TM-3/80) Avail: Jul. 1980 160 p NTIS HC A04/MF A01 CSCL 088 (NASA-TM-80233) Avail: NTIS HC A08/MF A01 CSCL 08C N80-30880# LeSchack Associates Ltd., Silver Spring, Md. Goals, philosophy, and objectives of NASA's Oceanic CORRELATION OF UNDER-ICE ROUGHNESS WITH Processes Program are presented as well as detailed information SATELLITE AND AIRBORNE THERMAL INFRARED DATA on flight projects, sensor developments, future prospects, individual Leonard A. LeSchack May 1980 46 p refs investigator tasks, and recent publications. A special feature is (Contract N00014-76-C-0757) a group of brief descriptions prepared by leaders in the (AD-A085512: TR-2) Avail: NTIS HC A03/MF A01 CSCL oceanographic community of how remote sensing might impact 08/12 various areas of oceanography during the coming decade. L.F.M. This report, based on empirical data, concludes that a correlation has been found between easily obtainable sea ice surface temperature and under-ice roughness data which are N80-29637*# Applied Science Associates. Inc.. Apex. N. C. obtainable only at great expense. Under-ice roughness is valuable WALLOPS WAVEFORM ANALYSIS OF SEASAT-1 RADAR in evaluating acoustic attenuation beneath the Arctic ice and is ALTIMETER DATA Final Report expressed in terms of either root-mean-square (RMS) ice depth George S. Hayne Jul. 1980 44 p refs or standard deviation about the mean ice depth, both of which (Contract NAS6-2810) are closely correlated. By showing a functional relationship (NASA-CR-156869) Avail: NTIS HC A03/MF A01 CSCL between the skewness of the surface temperature distribution 05B as derived from NOAA VHRR Satellite thermal infrared data Fitting a six parameter model waveform to over ocean and the under-ice roughness, the way appears clear to make a experimental data from the waveform samplers in the SEASAT-1 chart of Arctic under-ice roughness for Arctic acoustic programs radar altimeter is described. The fitted parameters include a and for nuclear submariners. In a second study, under ice data waveform risetime. skewness. and track point: from these can recorded in April 1976 by the SSN GURNARD was correlated be obtained estimates of the ocean surface significant waveheight, with the skewness of temperature distributions derived from NOAA the surface skewness. and a correction to the altimeter's on VHRR IR data recorded in March 1976 over nominally the same board altitude measurement, respectively. Among the difficulties area of the Beaufort Sea. A third study was then conducted encountered are waveform sampler gains differing from calibration that shows, perhaps more graphically than the others, the mode data, and incorporating the actual SEASAT-1 sampled point correlation of under-ice data recorded by the British nuclear target response in the fitted wave form. There are problems in submarine HMS SOVEREIGN between 18-21 October 1976 with using the spacecraft derived attitude angle estimates, and a airborne IR data recorded during the same period over the different attitude estimator is developed. Points raised in this submarine track by a Canadian Forces Argus aircraft. In all three report have consequences for the SEASAT-1 radar altimeter's examples, when the RMS ice depth range was between 4 and ocean surface measurements are for the design and calibration 8 m. corresponding to a standard deviation of ice depth ranging of radar altimeters in future oceanographic satellites. Author between 2 and 6 m. there is a strong, negative linear correlation between the skewness of the temperature distributions, N80-30618# Kansas Univ.. Lawrence. Remote Sensing Lab. whether measured from satellites or aircraft, and the under-ice RADAR BACKSCATTER STUDY OF SEA ICE roughness measured by submarine upward-looking sonar. GRA R. G. Onstott. George J. Dome. Clifford V. Delker. Javed S. Patel. and R. K. Moore Feb. 1980 273 p refs (Contract N00014-76-C-1 105) N80-30884| National Technical Information Service. Springfield. (AD-A087032: CRINC/RSL-TR-331-14) Avail: NTIS Va. HC A12/MF A01 CSCL 17/9 REMOTE SENSING OF THE OCEAN: PHYSICAL. CHEMI-

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CAL. AND GEOLOGIC PROPERTIES. CITATIONS FROM that placed the satellite into Earth orbit. Techniques for sensor THE NTIS DATA BASE Progress Report. 1976 - May 1980 management are explained. S F Robena J. Brown Jun. 1980 123 p Supersedes NTIS/PS-79/ 0585; NTIS/PS-78/0563 Updates COM-73-11676 (PB80-811235: NTIS/PS-79/0585: NTIS/PS-78/0563: N80-33068# Naval Research Lab.. Washington. 0. C. Environ- COM-73-11676) Avail: NTIS HC S30.00/MF $30.00 CSCL mental Sciences Div. 08J PASSIVE 19.3 GHz RADIOMETER AND AEROSOL .DATA Remote sensing methods as they are applied to ocean FROM THE NORTH SEA DURING MARSEN I. SEPTEM- temperature, sea ice. marine biology, and sound and light BER - OCTOBER 1979 Interim Report transmission are included. Techniques of measurement using S. G. Gathman and B. G. Julian 13 Aug. 1980 116 p refs radiometry, microwave spectroscopy. radar systems, infrared (AD-A088229: NRL-MR-4285) Avail: NTIS spectroscopy. and photography are described. These measure- HC A06/MF A01 CSCL 04/2 ments are made from both aircraft and satellites. This updated The production and distribution of the various aerosols which bibliography contains 116 abstracts. 17 of which are new entries are a result of air sea interactions were investigated. The to the previous edition. GRA mechanism of maritime aerosol generation was examined and the utility of satellite derived data on sea properties were N80-30885# National Technical Information Service. Springfield. analyzed. R.C.T. Va. REMOTE SENSING OF THE OCEAN: DYNAMICS. N80-33076# Naval Research Lab.. Washington. D. C. Space CITATIONS FROM THE NTIS DATA BASE Progress Report. Systems Div. 1970 - May 1980 ON THE INFERENCE OF OCEANIC CURRENTS OR EDDIES Robena J. Brown 1980 191 p Supersedes NTIS/PS-79/0586: BY SPACEBORNE ALTIMETRY THROUGH THE DYNAMIC NTIS/PS-78/0564 Updates COM-73-11676 METHOD FOR THE DETERMINATION OF THREE DIMEN- (PB80-811243: NTIS/PS-79/0586: NTIS/PS-78/0564: SIONAL DENSITY (TEMPERATURE) FIELD Progress COM-73-11676) Avail: NTIS HC S30.00/MF $30.00 CSCL Report 08J Davidson T. Chen and Vincent E. Noble 18 Jul. 1980 33 p Remote sensing methods as they are applied to ocean refs currents, wind sediment transport, ocean waves, sea states, and (W05270SOO) air water interactions are included. The various techniques of (AD-A088082. NRL-MR-4273) Avail. NTIS measurement using radiometers, lasers, radar, and microwave HC A03/MF A01 CSCL 08/3 and infrared equipment are described. This updated bibliography The physical theoretical background, the mathematical contains 183 abstracts. 18 of which are new entries to the governing equations, the absolute error, and the relative error of previous edition. GRA the 'dynamic method used in inferring the geostrophic current and eddy systems from the spaceborne altimeter-sensed measurements of dynamic heights or slopes have been laboriously developed. Also, the conditions for the determination of the N80-32060*# Texas A&M Univ.. College Station. ALTIMETRY DATA OVER TRENCHES AND ISLAND-ARCS three dimensional density (temperature) field uniquely are mentioned and explained. The space-borne altimeter is shown AND CONVECTION IN THE MANTLE Final Report. 1 Nov. to be the instrument for the provision of one condition, i.e.. the 1979 - 31 Aug. 1980 ocean surface current condition. The three dimensional density 18 Sep. 1980 26 p refs (temperature) field and its boundary conditions at the air-sea (Contracts NCC5-11: NAGS-94) interface play dominant roles in the weather prediction and the (NASA-CR-163516) Avail: NTIS HC A03/MF A01 CSCL undersea technology. The interchangeable use of the terms of 08C density and temperature fields is valid only when the salinity Transfer function techniques were developed to calculate the can be assumed as constant. GRA isostatic component of the geoid signal over trench/island arc/back arc systems. Removal of this isostatic component from N80-33077# Texas A&M Univ.. College Station. Dept. of geoid profiles determined by GEOS 3 radar altimetry leaves a Oceanography. residual geoid that can be attributed to the effect of mass THE GULF STREAM MEANDERS EXPERIMENT: CURRENT inhomogeneities below the depth of compensation. Efforts are METER. ATMOSPHERIC. AND SEA LEVEL DATA REPORT underway to extend the analysis to all the major trench/island FOR THE MOORING PERIOD Data Report. Jan. - May arc systems of the world in order to provide more detailed 1979 understanding of the dynamic processes occurring beneath island .David A. Brooks. John M. Bane. Robert L. Cohen, and Paul arcs. A.R.H. Blankinship (North Carolina State Univ. at Raleigh) Jul. 1980 277 p refs Prepared in cooperation with North Carolina Univ. N80-32820*# Lancaster Univ. (England). Lunar and Planetary at Chapel Hill Unit. (Contract N00014-77-C-0354; Grant NSF OCE-79-06710) SATELLITE MONITORING OF SEA SURFACE POLLUTION (AD-A088069: TAMU-REF-80-7-T) Avail: NTIS Final Report. Jan. 1977 - Jul. 1980 HC A13/MF A01 CSCL 08/3 Gilbert Fielder. Timothy Stuart Hall. Principal Investigators. Duncan The principal objective of the Gulf Stream Meanders John Telfer. Lionel Wilson, and Richard John Fryer Jul. 1980 experiment was to kinematically and dynamically describe the •20 p HCMM nature of meanders. The upper continental slope region off Onslow (NASA Order RD-1 182) Bay. North Carolina was chosen for the experiment site because (E80-10329: NASA-CR-163415: Rept-2-15/DF1) Avail: NTIS several previous investigations in that area provided a baseline HC A02/MF A01 CSCL 13B data set giving some ideas about time and space variability scales within and a several month mean view of the stream. In addition, earlier observations ranging from reports in centuries-old N80-32829*# Jet Propulsion Lab.. California Inst. of Tech.. ship logs to recent satellite infrared imagery made it apparent Pasadena. that Gulf Stream meandering was more intense between SEASAT. VOLUME 2: FLIGHT SYSTEMS Final Report Charleston and Cape Hatteras than elsewhere in the South Atlantic E. Pounder, ed. 1 Sep. 1980 369 p refs Bight. Current, sea level, and atmospheric data from the Gulf (Contract NAS7-100) Stream region off North Carolina for the period January - May (NASA-CR-163571: JPL-Pub-80-38-Vol-2) Avail: NTIS 1979 are documented. GRA HC A16/MF A01 CSCL 05B Flight systems used in the Seasat Project are described. Included are (D launch operation: (2) satellite performance after N80 33833*# Miami Univ.. Fla. School of Marine and launch: (3) sensors that collected data: and (4) the launch vehicle Atmospheric Science.

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INVESTIGATIONS OF MEDIUM WAVELENGTH MAGNETIC few abstracts dealing with general studies are included. This ANOMALIES IN THE EASTERN PACIFIC USING MAGSAT updated bibliography contains 263 citations. 11 of which are DATA Interim Report, Jun. - Sep. 1980 new entries to the previous edition. GRA Christopher G. A. Harrison, Principal Investigator 30 Sep. 1980 57 p refs Sponsored by NASA ERTS (E80-10334: NASA-CR-163412) Avail: NTIS HC A04/MF A01 CSCL 08G The author has identified the following significant results. Three long total magnetic field profiles taken over ocean basins were analyzed. It is found that there is a significant signal in the wavelength range of 1500 to 150 km. This is too short a wavelength to be caused by the core field, which becomes insignificant at about a wavelength of 1500 km: this intermediate wavelength signal is not caused by a typical sea floor spreading process, which should give maximum power in the wavelength region about 50 km. It is shown that the external magnetic field contributes very little to this intermediate wavelength signal. Efforts to explain the cause of this signal have failed.

N80-33844$ Institute de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). COASTAL CURRENTS: STUDY OF A MODEL APPLIED TO THE COAST OF RIO GRANDE DO SUL LATITUDE 29 DEG SOUTH TO 35 DEG SOUTH [CORRENTES COSTEIRAS: ESTUDO DE UM MODELO APLICADO AO LITORAL DO RIO GRANDE DO SUL LATITUDE 29 DEG SUL 35 DEG SUL] Claudio Solano Pereira and Luiz Bruner deMiranda Aug. 1980 7 p refs In PORTUGUESE: ENGLISH summary Presented at 32d Ann. Reunion of Brazilian Soc. for the Progr. of Sci.. Rio de Janeiro. 6-12 Jul. 1980 (INPE-1841-RPE/201) Avail: NTIS HC A02/MF A01 An analytical model developed to determine coastal currents was applied to the coast of Rio Grande do Sul (lat. 29 deg S to lat. 35 deg SI. The model describes the stationary state nontidal coastal currents. The momentum balance considered is stationary, nonaccelerated, and hydrostatic Longshore pressure gradients are neglected, while the Coriolis parameter and the vertical momentum exchange coefficient are assumed constant. The water mean density is taken constant in a vertical column but it is allowed to change at a constant rate in the cross shelf direction. With appropriate boundary conditions, a single relationship is obtained between the wind stress, the cross shelf mean density gradient and the fluid velocity. A.R.H.

N80-34O48*# National Aeronautics and Space Administration. Langley Research Center. Hampton. Va. ASSESSMENT OF THE ROLE OF REMOTE SENSING IN THE STUDY OF INLAND AND COASTAL WATERS Howard J. Curfman. John D. Oberholtzer, and Ronald J. Schertler Sep. 1980 70 p refs (NASA-TM-81881) Avail: NTIS HC A04/MF A01 CSCL 08C Several problems within Great Lakes, coastal, and continental shelf water were selected and organized under the topical headings of Productivity. Sedimentation. Water Dynamics. Eutrophication, and Hazardous Substances. The measurements required in the study of each of the problems were identified. An assessment was made of the present capability and the potential of remote sensing to make these measurements. The relevant remote-sensing technology for each of these classifications was discussed and needed advancements indicated. T.M.

N8O-34053$ National Technical Information Service. Springfield. Va. OCEAN WAVE SENSING. CITATIONS FROM THE NTIS DATA BASE Progress Report. 1964 - Jun. 1980 Audrey S. Hundemann Jul. 1980 271 p Supersedes NTIS/PS-79/0663 and NTIS/PS-78/0560 (PB80-812878: NTIS/PS-79/0663: NTIS/PS-78/05601 Avail: NTIS HC S30.00/MF $30.00 CSCL 08C Abstracts pertaining to methods and equipment for measuring ocean waves and sea surface roughness are presented. Remote sensing of ocean waves, height indicators, wave spectrum measurement, the use of radar, wave direction detection, and a

200 06 A80-49653 H The use of space data for the prediction of mountain-river flooding in Siberia (Primenenie kosmicheskoi infor- HYDROLOGY AND WATER matsii dlia tselei prognoza stoka polovod'ia gornykh rek). N. V. Vostriakova (Akademiia Nauk SSSR, Institut Geologii i Geofiziki, MANAGEMENT Novosibirsk, USSR). Issledovanie Zemli iz Kosmosa, May-June 1980, p. 20-26. 8 refs. In Russian. Includes snow cover and water runoff in rivers and glaciers, It is shown that TV and multispectral images from meteorologi- saline intrusion, drainage analysis, geomorphology of river cal satellites can be used to calculate and predict mountain-river basins, land uses, and estuarine studies. flooding in Siberia related to the springtime melting of snow. The usefulness of space data on the height of the snow line and the extent of the snow cover of drainage areas is shown. B.J.

A80-45005 * ft Quantitative interpretation of Great Lakes remote sensing data. D. F. Shook, J. Salzman, R. A. Svehla, and R. T. Gedney (NASA, Lewis Research Center, Cleveland, Ohio). Journal A80-49656 fl Optical methods for the study of biocenoses of Geophysical Research, vol. 85, July 20, 1980, p. 3991-3996. 15 on land and sea (Opticheskie metody izucheniia rastitel'nykh refs. tsenozov sushi i moria). F. la. Sid'ko, A. D. Aponasenko, V. S. The paper discusses the quantitative interpretation of Great Filimonov, N. A. Frank, A. F. Sid'ko, L. A. Shur, and V. I. Sokolov Lakes remote sensing water quality data. Remote sensing using color (Akademiia Nauk SSSR, Institut Fiziki, Krasnoyarsk, USSR). Issle- information must take into account (1) the existence of many dovanie Zemli iz Kosmosa, May-June 1980, p. 41-50. 21 refs. In different organic and inorganic species throughout the Great Lakes, Russian. (2) the occurrence of a mixture of species in most locations, and (3) Optical techniques (remote and contact techniques) for the spatial variations in types and concentration of species. The radiative study of the spectral brightness of inner reservoirs and seas, crops, transfer model provides a potential method for an orderly analysis of forests, and other types of vegetation cover are reviewed; techniques remote sensing data and a physical basis for developing quantitative for the investigation .of the optical characteristics (absorption, algorithms. Predictions and field measurements of volume reflec- attenuation, etc.) of water are also described. The estimation of tances are presented which show the advantage of using a radiative phytoplankton content in water by remote and contact methods is transfer model. Spectral absorptance and backscattering coefficients considered. B.J. for two inorganic sediments are reported. A.T.

A80-50899 The geomorphology of Mont-Saint-Michel Bay A80-45428 Nonzero subsurface irradiance reflectance at studied from the remote sensing of instantaneous shorelines (Geo- 670 nm from Lake Ontario water masses. R. P. Bukata, J. H. Jerome, morphologie de la baie du Mont-Saint-Michel par teledetection des J. E. Bruton (National Water Research Institute. Burlington, Ontario, lignes de rivage instantanees). C. Pestre (Institut Geographique Canada), and S. C. Jain (Moniteq, Ltd., Toronto, Canada). Applied National, Saint-Mande, Val-de-Marne, France) and F. Verger (Ecole Optics, vol. 19, Aug. 1, 1980, p. 2487, 2488. 9 refs. Normale Superieure, Montrouge, Hauts-de-Seine; Ecole Pratique des Data obtained by the satellite-borne Coastal Zone Scanner Hautes etudes, Dinard, C6tes-de-Nord, France). In: Cartographic (CZCS) are discussed with reference to an atmospheric algorithm processing and analysis of satellite imagery; International Confer- which infers the subsurface irradiance reflectance spectrum from the ence, 3rd, Toulouse, France, June 19-22, 1979, Proceedings. radiance spectrum recorded by the CZCS. The algorithm is based on Saint-Etienne, Loire, France, Edition Gedim, 1980, p. the assumption that the irradiance reflectance beneath the surface at 175-181. In French. a wavelength of 670 nm is zero in which case the recorded CZCS Several Landsat 1 images of Mont-Saint-Michel Bay showing radiance in that band is due to surface reflection and the molecular different tidal heights were processed in order to extract shorelines at and aerosol scattering occurring in the intervening atmosphere. given instants. An examination of the shorelines makes it possible to Analysis of the observed values of a(670), (Bb)(670, and Rv(670) for investigate the topography and geomorphology of the tidal flats and Western Lake Ontario reveals a large range of nonzero Rv(670) to obtain information on the evolution of the tidal flats between values. It is concluded that caution must be applied to the successive satellite views. B.J. assumption of zero Rv(670) when considering the development of operational atmospheric algorithms for direct applications of CZCS data to water quality studies of inland lakes. V.L. A80-51278 The contribution of space observations to water resources management; Proceedings of the Symposium, Banga- lore, India, May 29-June 9, 1979. Symposium sponsored by COSPAR, ICSU. UNESCO, et al. Edited by V. V. Salomonson A80-46450 * Remote sensing of paniculate concentrations (NASA, Goddard Space Flight Center, Greenbelt, Md.) and P. D. in water. M. Sydor (Minnesota, University, Duluth, Minn.). Applied Bhavsar (Indian Space Research Organization, Space Applications Optics, vol. 19. Aug. 15, 1980, p. 2794-2800. U.S. Environmental Centre, Ahmedabad, India). Oxford, Pergamon Press, Ltd. (Advances Protection Agency Grant No. R-805667-01-1; Grant No. in Space Exploration. Volume 9), 1980. 288 p. S60. NGL-24-005-263. Determination of residual radiance is essential in remote sensing The symposium focused on hydrology, soil moisture estimation measurements of suspended solids in the absence of real-time and ground water exploration, wetlands monitoring and water ground-truth data. Some typical background corrections are pre- quality estimation, hydrometeorology, snow and ice monitoring, and sented for Lake Superior and the spectral distribution of the residual evapotranspiration estimation. Other problems discussed include radiance is determined from three major categories of turbidity in surface water and flood mapping, watershed runoff estimation and the lake. The results tested with Landsat 2 digital tape data indicate prediction, and new space systems contributing to water resources that for large bodies of water general information on atmospheric management. V.L. scattering, water clarity, and optical properties of suspended solids enables one to estimate the concentrations of particulates to within + A80-51279 Space observations for water resources - A or - 0.5 mg/liter in the absence of real-time ground-truth data. potential to be developed. A. J. Askew and J. Nemec (World (Author) Meteorological Organization, Hydrology and Water Resources Dept.,

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Geneva, Switzerland). In: The contribution of space observations to to improve accuracy and timeliness of estimations in a variety of water resources management; Proceedings of the Symposium, rainfall situations. Snowmelt runoff prediction has been demonstrat- Bangalore, India, May 29-June 9, 1979. Oxford, ed using satellite snowcover data. Snow depth and wetness measure- Pergamon Press, Ltd., 1980, p. 3-16. 9 refs. ments are feasible using microwave techniques. The monitoring of ice To make full use of space observations in hydrology and water cover, type, and thickness has been carried out successfully using resources, major changes in existing data acquisition, storage, and remote methods. Results from remote sensing evapotranspiration processing systems will be required. In the present paper, studies have been inconclusive. The remote measurement of evapo- information is presented on the data requirements that have been transpiration seems to be the most challenging of all applications of established for work in hydrology and water resources. Some aspects remote sensing to hydrometeorology. (Author) of the transmission of hydrological data from spacecraft are examined. V.P. A80-51284 Use of satellite imagery for the derivation of A80-512SO Remote sensing application in groundwater the hydrogeologic characteristics of a test area in semiarid climates. surveys and exploration in India. B. K. Baweja and S. K. Sharma C. Vaccari (Italeco S.p.A., Rome, Italy) and B. Marcolongo (CNR, (Central Ground Water Board, New Delhi, India). In: The contribu- Padua, Italy). In: The contribution of space observations to water tion of space observations to water resources management; Proceed- resources management; Proceedings of the Symposium, Bangalore, ings of the Symposium, Bangalore, India, May 29-June 9, 1979. India, May 29-June 9, 1979. Oxford, Pergamon Oxford, Pergamon Press, Ltd., 1980, p. 17-30. Press, Ltd., 1980, p. 69-77. Aerial and satellite survey methods used for groundwater The use of Landsat imagery to investigate the hydrogeological investigation and exploration in India are described. The effects of characteristics of semiarid areas, particularly the location of under- weathered zones, fracture traces, and lineaments on the occurrence ground water resources, is illustrated. Time-spaced Landsat data in and behavior of groundwater are discussed. Key criteria have been bands of 5 and 7 was obtained for a portion of Bauci province in employed to locate water wells of maximum capacity in areas where northern Nigeria, and analog processing of the data was performed to only poor wells have been known. It has been shown that buried permit interpretation. The vegetation, lithology, pedology and pediment areas, open fractures, and trellis drainage have a marked drainage patterns deduced from the Landsat images were compared influence on groundwater occurrence in crystalline rocks. S.S. with available ground-based geological data in order to define the various hydrogeological units and the groundwater potential, and a A80-51281 Remote sensing of coastal environment and model of the hydrogeologic circulation was obtained by taking into resources. V. Klemas, D. S. Bartlett, and W. D. Philpot (Delaware, account lineation morphology. The static hydrogeological map and a University, Newark, Del.). In: The contribution of space observations ground water circulation model thus obtained can be used to to water resources management; Proceedings of the Symposium, quantify underground water resources, and, together with further Bangalore, India, May 29-June 9, 1979. Oxford, rainfall, temperature and evapotranspiration data, estimate aquifer Pergamon Press, Ltd., 1980, p. 31-48. 43 refs. recharge. A.L.W. Remote sensing techniques are applied to coastal and estuarine areas for mapping wetland boundaries, plant species diversity and A80-51285 Terrain analysis and hydrogeologic interpreta- productivity, monitoring man-made and natural changes in the tions from satellite imagery. R. A. Chansarkar (Defence Research and coastal zone, charting current circulation patterns, determining the Development Organization, New Delhi, India). In: The contribution identity, concentration and dispersion of certain natural substances of space observations to water resources management; Proceedings of and pollutants, and mapping of nutrient-rich upwelling regions and the Symposium, Bangalore, India, May 29-June 9, 1979. coastal fresh-water springs. However, because remote sensors fail to Oxford. Pergamon Press, Ltd., 1980, p. 79-84. 7 refs. penetrate beyond a few meters into turbid coastal waters the need The paper discusses terrain analysis and hydrologic parameters for data collection from ships and ground survey teams cannot be from satellite imagery. Hydrologic interpretations also require eliminated. S.S. lineament levels, delineation of lithoassociations, descriptions of surface water bodies and seasonal changes, the land use pattern, and areas for augmenting superficial porosities in hard rock terrains. Terrain analysis by satellite imagery was made possible by knowledge A80-51282 Satellite data for the solution of problems of of regional geology, joint traces, and major geomorphic zones. land hydrology. V. V. Kuprianov, V. G. Prokacheva, and V. F. Possible improvements include supplementing relief and slope data Usachev (Gosudarstvennyi Gidrologicheskii Institut, Leningrad, through survey maps andd use of computer processing. A.T. USSR). In: The contribution of space observations to water resources management; Proceedings of the Symposium, Bangalore, A80-51286 Remote sensing of water resources in Ranch India, May 29-June 9, 1979. Oxford, Pergamon Mahals district. B. Sahai, M. V. Muley, S. D. Naik, and V. Press, Ltd., 1980, p. 49-58. 16 refs. Tamilarasan (Indian Space Research Organization, Space Applica- The paper discusses satellite data used in operational hydrology. The applications include mapping of physiographic features, land tions Centre, Ahmedabad, India). In: The contribution of space use, and snow cover; evaluation of snow cover dynamics; determina- observations to water resources management; Proceedings of the tion of water storage; and spring snowmelt flood measurements. Symposium, Bangalore, India, May 29-June 9, 1979. Studies were made of snow cover determining urban and industrial Oxford, Pergamon Press, Ltd., 1980, p. 85-88. environmental effects; evaluation of ice behavior in lakes; dates of ice pack formation and breakup; river floodings, plain inundations; and A80-51287 Soil moisture estimation by correlated ground- of the water balance of inland water bodies. A.T. based and Seasat microwave observation. E. Schanda, D. Wyssen (Bern, Universitat, Berne, Switzerland), P. Meylan, and C. Morzier (Lausanne, Ecole Polytechnique Federale, Lausanne, Switzerland). A80-51283* Remote sensing applications in hydrometeo- In: The contribution of space observations to water resources rology. A. Rango (NASA, Goddard Space Flight Center, Laboratory management; Proceedings of the Symposium, Bangalore, India, May for Atmospheric Sciences, Greenbelt, Md.). In: The contribution of 29-June 9, 1979. Oxford, Pergamon Press, Ltd., space observations to water resources management; Proceedings of 1980, p. 89-97. 5 refs. the Symposium, Bangalore, India, May 29-June 9, 1979. The paper discusses soil moisture determination based on Oxford, Pergamon Press, Ltd., 1980, p. 59-66. 28 refs. microwave emission at sites of different mineralogic compositions Monitoring of precipitation using remote sensing has been and granular size distributions. Microwave probing of soil moisture carried out successfully over oceans with passive microwave data and can reach a depth of 10cm in arable land; simultaneous observations over land with visible and infrared data. Further research is necessary were made by ground-based and Seasat Scanning Multichannel

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Microwave Radiometer at frequencies almost coinciding with the Secunderabad, India). In: The contribution of space observations to ground-based observations ranging from 1.8 to 36 GHz. Relations water resources management; Proceedings of the Symposium, Banga- between moisture content and microwave radiation are described, lore, India, May 29-June 9, 1979. Oxford, concluding that soil moisture analysis can be improved by models Pergamon Press. Ltd., 1980, p. 119-122. 7 refs. which can extrapolate the moisture condition of the upper few Based on the patterns of suspended sediments on Landsat MSS centimeters down to the root zone of the vegetation, and separate imagery in bands 4 and 5, the flow directions of the near-shore the effects of vegetation, soil type, and roughness on backscattered surface and subsurface currents along certain reaches of each coast of and emitted radiation. AT. India have been obtained. Making use of the imagery characteristics in these two bands, surface and subsurface sediment plumes have A80-51288 Evaluation of hydrogeologic conditions in been identified. The extent of sediment suspension, zone of offshore Ponnaiyar River basin. South India using remotely sensed data. S. T. turbulent mixing, submarine ridges and sloughs have been catego- Govindarajan, V. Tamilarasan (Indian Space Research Organization, rized. (Author) Space Applications Centre, Ahmedabad, India), and G. Venkatara- man. In: The contribution of space observations to water resources A80-51293 * Snow mapping from space platforms. K. I. management; Proceedings of the Symposium, Bangalore, India, May Itten (Zurich, Universitat, Zurich, Switzerland). In: The contribution 29-June 9, 1979. Oxford, Pergamon Press, Ltd., of space observations to water resources management; Proceedings of 1980, p. 99-102. the Symposium, Bangalore, India, May 29-June 9, 1979. Manual interpretations of Landsat and aerial data for mapping Oxford, Pergamon Press, Ltd., 1980, p. 125-138. hydrogeological features are discussed and illustrated. Reconnais- 25 refs. Research supported by the World Meteorological sance geomorphic, geologic, structural and land use maps of the Organization, European Space Agency, and NASA. Ponnaiyar river basin of South India were prepared using Landsat The paper considers problems of optimum resolution, data. This was followed by aerial photointerpretation and field periodicity, and wavelength bands used for snow mapping. Analog checks. The results of this study and the geophysical resistivity data and digital methods were used for application of satellite data; were used to evaluate the hydrogeologic setup of the basin. techniques were developed for producing steamflow forecasts, Correlation of the existing bore wells data with the hydromorphic hydroelectric power generation regulation data, irrigation potentials, units shows that the high yielding wells are located in the lineaments, and information on the availability of drinking water supplies. buried channels, and old river courses. (Author) Future systems will utilize improved spectral band selection, new spectral regions, higher repetition rates, and more rapid access to satellite data. A.T. A80-51289 Remote sensing in search for ground water - Some cases histories. B. K. Baweja (Central Ground Water Board, New Delhi, India). In: The contribution of space observations to A80-51294 Problems of snow cover assessment - An water resources management; Proceedings of the Symposium, Banga- approach using remote sensing techniques in a pilot project in the lore, India, May 29-June 9, 1979. Oxford, Beas river basin, Himachal Pradesh, India. C. P. Vohra and G. S. Pergamon Press, Ltd., 1980, p. 103-106. Srivastava (Geological Survey of India, Lucknow, India). In: The Remote sensing surveys conducted in India for the purpose of contribution of space observations to water resources management; ground water exploration are described. Aerial photography and Proceedings of the Symposium, Bangalore, India, May 29-June 9, photogeology techniques were applied to ground water exploration 1979. Oxford, Pergamon Press, Ltd., 1980, p. in the Narmada River Basin, the Poini River Basin, the Vedavati 139-142.7 refs. River Basin, and the Novil, Amrayati, and Ponnani subbasins. B.J. A80-51295 Eurasian snow cover extent - The NOAA A8051290 Application of Landsat imagery to ground satellite record, 1966-79. M. Matson, D. R. Wiesner, and C. P. Berg water studies in parts of Punjab and Haryana states, India. K. P. (NOAA, National Environmental Satellite Service, Washington, Singh (Delhi, University, Delhi, India), B. S. Tewari (Punjab D.C.). In: The contribution of space observations to water resources University, Chandigarh, India), and T. H. L. Williams (Kansas, management; Proceedings of the Symposium, Bangalore, India, May University, Lawrence, Kan.). In: The contribution of space observa- 29-June 9, 1979. Oxford, Pergamon Press, Ltd., tions to water resources management; Proceedings of the Symposi- 1980, p. 143-152. 12 refs. um, Bangalore, India, May 29-June 9, 1979. Oxford, Pergamon Press, Ltd., 1980, p. 107-111.5 refs. A80-51296 Studies of snow accumulation characteristics Multidate Landsat false color composite images were used to on Himalayan slopes. A. K. Bagchi (Roorkee, University, Roorkee, study geological, hydrogeological, and hydrological features in parts India). In: The contribution of space observations to water resources of the Punjab and Haryana states in India. Aquifer recharge areas, management; Proceedings of the Symposium, Bangalore, India, May waterlogged areas, old river courses, and severely affected saline areas 29-June 9, 1979. Oxford, Pergamon Press, Ltd., were delineated on the images. The interpretations were verified by 1980, p. 153-156. Research supported by the Indian Space Research exploratory drilling and field checks. The Landsat data proved useful Organization. in identifying prominent areas for groundwater development, in A method using sequential Landsat imageries in conjunction planning drilling programs for the construction of tube wells, in with temperature data for measurement of the depth of accumulated identifying areas suitable for artificial groundwater recharge, and in snow in high Himalayan slopes is considered. Snow accumulation identification and mapping of seasonal waterlogging patterns. pattern in Manali slope is presented. (Author) (Author)

A80-51291 Quantitative monitoring of sediment levels in A80-51297 Microwave emission properties of snow for freshwater lakes from Landsat. P. Chagarlamudi, J. S. Schubert monitoring hydrological parameters. E. Schanda, C. Matzler (Bern, (Deloitte, Haskins and Sells Associates, Ottawa, Canada), and R. E. Universitat, Berne, Switzerland), and R. Hofer. In: The contribution Hecky (Department of Fisheries and the Environment, Freshwater of space observations to water resources management; Proceedings of Institute, Winnipeg, Canada). In: The contribution of space observa- the Symposium, Bangalore, India, May 29-June 9, 1979. tions to water resources management; Proceedings of the Symposi- Oxford, Pergamon Press, Ltd., 1980, p. 157-161. 5 um, Bangalore, India, May 29-June 9, 1979. refs. Oxford, Pergamon Press, Ltd., 1980, p. 115-118. During three winter seasons ground-based microwave observations with a multichannel radiometer between 1.8 and 94 GHz at an A8051292 Landsat application to the study of coastal alpine high-altitude test area have revealed important relations processes. I. V. Muralikrishna (National Remote Sensing Agency, between hydrological parameters such as moisture content, melting

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state, and depth of sounding, and the microwave emission behavior A80-51303 Floodplains mapping of Gangetic basin using in spectrum, polarization and viewing angles. The daily variations of Landsat imagery. M. S. Dhanju (Indian Space Research Organization, the state of a surface layer with thickness strongly dependent on Space Applications Centre, Ahmedabad, India). In: The contribution moisture can be determined, and three stages of seasonal develop- of space observations to water resources management; Proceedings of ment of the snow cover are easily distinguishable. This allows the Symposium, Bangalore, India, May 29-June 9, 1979. prediction of the start of the snow melting phase with consequent Oxford, Pergamon Press, Ltd., 1980, p. 215-218. 5 runoff. These investigations are intended to yield the fundamentals refs. for the design of monitoring pay loads with near to optimum The Gangetic basin of the Indian subcontinent is a scene of instrumentation. (Author) perennial floods during monsoon season. Using Landsat imagery, the possibility of studying the various features connected with the floodplains is investigated. The features are inundated areas, back- swamps, marshy areas, oxbow lakes, and water bodies. The various A80-51299 Computer-aided watershed analyses using re- features of the river action, floodplain deposits, sandy features, and mote sensing based regional information systems. R. M. Ragan and J. river levees are also delineated. Thus it is possible to prepare D. Fellows (Maryland, University, College Park, Md.). In: The appropriate floodplain maps by integrating relevant topographical contribution of space observations to water resources management; features with the above-mentioned features delineated from Landsat Proceedings of the Symposium, Bangalore, India, May 29-June 9, imagery. These maps can be of great help in designing flood control 1979. Oxford, Pergamon Press, Ltd., 1980, p. measures. (Author) 181-193. Srefs. The application of Landsat remotely sensed data to water A80-51304 Satellite imagery and U.P. Himalayas and resource studies is discussed with reference to a computer-based Siwalik. P. N. Gupta. In: The contribution of space observations to multiparameter regional information system for a 6300 sq km water resources management; Proceedings of the Symposium, Banga- planning area in the vicinity of Washington, D.C. Categorized lore, India, May 29-June 9, 1979. Oxford, Landsat and two levels of digitized aerial photography have been Pergamon Press, Ltd., 1980, p. 219-222. merged as a matrix of five-second cells to define the land cover on a The paper describes how satellite photographs are utilized for regional basis. Map data defining soil type, slope, and geology are deciding priorities for soil conservation work in U.P. Himalayas and also digitalized for storage in the same format. The data are stored on Siwalik. Measurements for demonstrating the effect of erosion in the tape and disk files that can be accessed from office teletypes area are given. The use of imagery directly as maps or for connected through a telephone line. Remote-sensing-based regional map-making in natural resources surveys is emphasized. (Author) information systems stored on digital computers provide an efficient means of defining the quantities required by the models that must be A80-51305 Perspectives of remote sensing applications to part of the decision-making process. V.L. the study of hydric balance in the EEC countries and to the global evaluation of ground water resources. C. Conedera (GEOMAP, A80-51300 Applications to floods of remote sensing from Florence, Italy), G. Fraysse (Commission of the European Communi- satellites. H. L. Ferguson, J. Kruus (Environment Canada, Atmo- ties, Joint Research Centre, Ispva, Italy), and B. Marcolongo (CNR, spheric Environment Service, Ottawa, Canada), and M. Deutsch (U.S. Padua, Italy). In: The contribution of space observations to water Geological Survey, Reston, Va.). In: The contribution of space resources management; Proceedings of the Symposium, Bangalore, observations to water resources management; Proceedings of the India, May 29-June 9, 1979. Oxford, Pergamon Symposium, Bangalore, India, May 29-June 9, 1979. Press, Ltd., 1980, p. 223-226. Oxford, Pergamon Press, Ltd., 1980, p. 195-206. 17 refs. The use of remotely sensed imagery (Landsat, HCMM, airborne Remote sensing from satellites can be applied to flood plain thermal infrared Multispectral Scanner) integrated with conventional mapping, monitoring of floods in progress, and the prediction of data (maps and ground truth) permits stablishment of a model floods through observations of storms and snowpack conditions. describing the circulation pattern of deep groundwater. The model Case studies from the literature are used to illustrate these has been applied to a semiarid area in southern Italy; the main applications. Examples are also drawn from previously unpublished structures and the hydrogeological profile have been determined. North American studies. The use of satellite snow cover analysis in (Author) the WMO/WWW Saint John Basin Project is described. Probable future technological trends are discussed briefly. (Author) A80-51306 Study of floods in Bangladesh and India with the help of meteorological satellites. A. M. Choudhury (Bangladesh A80-51301 Assessment of cyclone-caused damage in Atomic Energy Commission, Space and Atmospheric Research Krishna delta region using remotely sensed data. A. Narain and S. A. Centre, Dacca, Bangladesh). In: The contribution of space Patil (Indian Space Research Organization, Space Applications observations to water resources management; Proceedings of the Centre, Ahmedabad, India). In: The contribution of space observa- Symposium, Bangalore, India, May 29-June 9, 1979. tions to water resources management; Proceedings of the Symposi- Oxford, Pergamon Press, Ltd., 1980, p. 227-230. um, Bangalore, India, May 29-June 9, 1979. It has been found that Meteorological Satellites often give useful Oxford, Pergamon Press, Ltd., 1980, p. 207-210. information on floods when the flooded area is relatively cloud free. A tropical cyclone formed in the Bay of Bengal hit the coastal This paper describes study of floods that occurred in Bangladesh and districts of Andhra Pradesh, India, on Nov. 19, 1977. causing large India from August to early October, 1978 with the help of scale damage. An aerial survey, using photographic cameras with meteorological satellite data. Tracks of tropical disturbances color infrared film and a multispectral scanner, was carried out responsible for the rainfall causing floods have been obtained using during January 1978. A two-step procedure (Landsat imagery and satellite and conventional meteorological data. An estimation of the aerial imagery) was followed for assessing cyclone-caused damage for flooded area and the extent of flooding has been made. Correlation an area of about 320 sq km. (Author) has also been made with rainfall data wherever available. (Author)

A80-51302 Study of Kosi river characteristics using air- A80-51307 Indian remote sensing satellite program and its borne/space orbital multispectral scanner data. A. K. Chakraborty contribution to water resources management. D. S. Kamat (Indian (National Remote Sensing Agency, Hyderabad, India). In: The Space Research Organization, Space Applications Center, Ahmeda- contribution of space observations to water resources management; bad, India). In: The contribution of space observations to water Proceedings of the Symposium, Bangalore, India, May 29-June 9, resources management; Proceedings of the Symposium, Bangalore, 1979. Oxford, Pergamon Press, Ltd., 1980, p. India, May 29-June 9, 1979. Oxford, Pergamon 211-214. Press, Ltd., 1980, p. 233-239. 9 refs.

204 06 HYDROLOGY AND WATER MANAGEMENT

A80-51309 * The utility of Landsat-D for water-resources N80-29832# Geological Survey. Tallahassee. Fla. Water studies. V. V. Salomonson (NASA, Goddard Space Flight Center, Resources Div. Laboratory for Atmospheric Sciences, Greenbelt, Md.). In: The EVALUATION OF REMOTE HYOROLOGIC DATA- contribution of space observations to water resources management; ACQUISITION SYSTEMS, WEST-CENTRAL FLORIDA Proceedings of the Symposium, Bangalore, India, May 29-June 9, J. F. Turner. Jr. and W. M. Woodham Feb. 1980 71 p refs 1979. Oxford, Pergamon Press, Ltd., 1980, p. (PB80-176951; USGS/WRD/WRI-80/020: 255-267. 9 refs. USGS/WRI-79/102) Avail: NTIS HC A04/MF A01 CSCL 08 H The paper discusses applications of the Landsat-D remote An evaluation of the hydrologic applications of a land line sensing observations to hydrology and management of water and tow satellite data relay systems operated during 1977-78 resources. It is expected that the Landsat-D thematic mapper will in the Southwest Florida Water Management District is presented. provide spatial resolution of 30 m vs 79 m in the reflected solar These systems were tested to evaluate operational and reliability radiation bands; additional spectral resolution in the 0.5 to 1.0 characteristics. Telephone lines were used to relay data in the micron region and new bands covering regions in the 0.45 to 2.35 land line system, and the Geostationary Operational Environmental micron range will be available. The thematic mapper produces data at Satellite (GOES) and were used in the satellite system. The an 85 megabit/sec rate; an advanced data processing system will be land system was tested for a period of 15 months at a streamflow used for improved monitoring of earth resources. A.T. site. Accurate data were obtained 94 percent of the time during the period. Data losses were attributed to telephone line A80-51310 Earth observation systems in Japan. K. interference, low battery voltage, and vandalism. The GOES system was tested at a rainfall site for a 17 month period. GRA Tsuchiya (National Space Development Agency of Japan, Earth Observation Center, Hatoyama, Saitama, Japan). In: The contribution of space observations to water resources management; Proceedings of the Symposium, Bangalore, India, May 29-June 9, N80-30829*# Florida Univ.. Gainesville. Inst. of Food and 1979. Oxford, Pergamon Press, Ltd., 1980, p. Agricultural Sciences. 269-277. FLORIDA WATER RESOURCES Final Report The paper describes a Japanese earth observation system which Apr. 1980 325 p refs Original contains color imagery. Original automatically collects rainfall data from 1300 unmanned automatic photography may be purchased from the EROS Data Center, weather stations and distributes them to 60 forecast centers within Sioux Falls. S.D. 57198 ERTS 20 minutes. In addition, space related systems such as the (Contract NAS10-9348) geostationary meteorological satellite, rockets, and Tiros-N are (E80-10246: NASA-CR-154634: KSC-TR-51-3) Avail: NTIS discussed. The Marine Observation Satellite-1 is in a preliminary HC A14/MF A01 CSCL 08H design phase, and the planning of the joint NASA/Japan research plan of managing water resources is being completed. A.T.

A80-53611 Satellite studies of fresh-water ice movement on Lake Erie. D. R. Wiesnet (NOAA, National Environmental Satellite Service, Washington, O.C.). Journal of Glaciology, vol. 24, N80-30830*# Florida Univ.. Gainesville. Inst. of Food and no. 90, 1979, p. 415-426. 11 refs. Agricultural Sciences. The paper discusses the NOAA visible and thermal satellite FLORIDA WATER RESOURCES. EXECUTIVE SUMMARY observations of Lake Erie ice movements. The NOAA polar-orbiting Apr. 1980 18 p Original contains color imagery. Original satellites collect two thermal and one visible image per day; the photography may be purchased from the EROS Data Center. GOES satellites collect visible and infrared images every 30 min;and Sioux Falls. S.D. 57198 ERTS the Landsat satellite has an 18 d revisit cycle. Ice formation, (Contract NAS10-9348) movement, and break-up depend on variations in depth of water, (E80-10247; NASA-CR-154634-Summ: KSC-TR-51-3-Summ) geomorphology, and meteorological factors; the effect of wind Avail: NTIS HC A02/MF A01 CSCL 08H direction on break-up patterns is critical for the forecasting of complete ice melt and day-to-day distribution of ice. A.T. N 80-30864* # Environmental Research and Technology. Inc.. N80-29806*# National Aeronautics and Space Administration. Concord, Mass. Goddard Space Flight Center. Greenbelt. Md. INVESTIGATION OF THE APPLICATION OF HCMM USE OF LANDSAT DATA FOR RIVER AND LAKE ICE THERMAL DATA TO SNOW HYDROLOGY Progress Report. ENGINEERING STUDIES Apr. - Jun. 1980 Dorothy K. Hall, Principal Investigator Apr. 1980 14 p refs James C. Barnes. Principal Investigator Jul. 1980 7 p Sponsored Submitted for publication ERTS by NASA HCMM (E80-10237: NASA-TM-80686) Avail: NTIS (E80-10297: NASA-CR-163351) Avail: NTIS HC A02/MF A01 CSCL 08L HC A02/MF A01 CSCL 08L The author has identified the following significant results. N80-29816*# National Environmental Satellite Service. Washing- Comparison of the thermal IR band temperatures over the rapidly ton. D. C. melting snowcover in a number of locations in the Salt-Verde APPLICATIONS OF HCMM DATA TO SOIL MOISTURE Arizona watershed by the U-2 high altitude multispectral scanner, SNOW AND ESTUARINE CURRENT STUDIES Quarterly with temperatures for these same locations measured by the Report corresponding HCMM pass, indicate that the U-2 temperatures Donald R. Wiesnet. Principal Investigator, David F. McGinnis, are typically 5 C higher than the values analyzed from the HCMM and Michael Matson 24 Jun. 1980 3 p Sponsored by NASA infrared digital printout. Results tend to substantiate findings of HCMM other investigators that with the offset that has been applied to (E80-10269; NASA-CR-163341) Avail: NTIS all HCMM data, the HCMM temperature values may. in fact, HC A02/MF A01 CSCL 08L actually be 5 C too low. Analysis of differences between the The author has identified the following significant results. HCMM day and night temperatures for selected snowcovered The HCMM thermal data are useful for monitoring estuarine areas in the Sierra Nevada Mountains, derived from the surface thermal patterns. Estuarine thermal patterns, are. under daytime and nighttime printouts, show greater delta tau values certain conditions, indicative of the surface tidal current circulation for the sparsely vegetated higher elevations than for the lower patterns. Under optimum conditions, estuaries as small as the elevation, more densely forested terrain. The differences for the Cooper River (i.e.. approximately 100 sq km) can be monitored 12 hour sequence are also greater in most instances than the for tidal/thermal circulation oatterns by HCMM-type IR sensors. 36 hour difference.

205 06 HYDROLOGY AND WATER MANAGEMENT

N8O-31867# Kansas Water Resources Research Inst.. Manhattan. N80-32806*# Remote Sensing Inst.. Brookings. S. Dak. SIMULATION OF RESERVOIR AND LAKE SEDIMENTATION HCMM ENERGY BUDGET DATA AS A MODEL INPUT FOR Project Completion Report. Jul. 1973 - Jun. 1975 ASSESSING REGIONS OF HIGH POTENTIAL GROUND- William M. Merrill Apr. 1980 158 p refs WATER POLLUTION Interim Report. Apr. - Jun. 1980 (Contract DI-14-31-0001-4085) Donald G. Moore. Principal Investigator and J. L. Heilman Jun. (PB80-182801: CONTRIB,215. W80-05010: 1980 25 p refs HCMM OWRT-B-036-KANID) Avail: NTIS HC A08/MF A01 CSCL (Contract NAS5-24206) 08H (E80-10310: NASA-CR-163350: SOSU-RSI-80-07) Avail: Two lakes were used to develop a model of reservoir NTIS HC A02/MF A01 CSCL 13B sedimentation and two computer programs to simulate it. Basis The author has identified the following significant results. for the model is a statement of general relationships formulated Significant relationships were found between surface soil to describe sedimentation in shallow marine basins, modified to temperatures estimated from HCMM radrometnc temperatures apply to relatively small freshwater bodies. In its modified form, and depth to ground water and near surface soil moisture. the statement serves as foundation for quantitative and semiquan- titative expressions that are translated into algorithms to simulate reservoir processes. The model and programs are appropriate N80-32834$ Instituto de Pesquisas Espaciais, Sao Paulo (Brazil). only for reservoirs established on alluvial streams in which an GEOCHEMICAL BALANCE OF THE SALGADO RIVER essentially unlimited supply of sediment. 90 percent or more of BASIN which is silt and clay and at least 30 percent of which is clay L. M. Moreira-Nordemann and D Nordemann Aug. 1980 43 p of two microns or less, can be assured. GRA refs Submitted for publication (INPE-1849-RPE/206) Avail: NTIS HC A03/MF A01 The Salgado River basin (Bahia State. Brazil) was studied N80-31973# Army Engineer Waterways Experiment Station. from the point of view of present climatic and geochemical Vicksburg. Miss. Environmental Lab. conditions: inappropriate exploitation, irregular rainfall and high REMOTE SENSING PROCEDURES FOR DETECTING AND evaporation rate resulting in a state of unbalanced geochemical MONITORING VARIOUS ACTIVITIES REGULATED BY THE conditions. The water of the Salgado River showed high MOBILE DISTRICT Final Report, Oct. 1976 - Sep. 1978 concentration of the total dissolved salts. The mean chemical Morton Struve and William L. Kirk Apr. 1980 397 p refs composition and weathering rate of the rocks of the river basin (AD-A087584; WES/TR/EL-80-1) Avail: NTIS were measured. S.F. HC A17/MF A01 CSCL 14/5 The objective of this study was to develop procedures for use by the U.S. Army Engineer District, Mobile, to detect and monitor activities requiring a Corps of Engineers permit pursuant N80-33064# Air Force Geophysics Lab.. Hanscom AFB. Mass. to Section 404 of the Federal Water Pollution Control Act Meteorology Div. Amendments of 1972, Section 10 of the River and Harbor Act DEVELOPMENT OF TECHNIQUES TO SPECIFY CLOUDI- of 1899. and Section 103 of the Marine Protection. Research, NESS AND RAINFALL RATE USING GOES IMAGERY DATA and Sanctuaries Act of 1972. The detection and monitoring Final Report procedures developed in this study included three methods of Stuart H. Muench and Thomas J. Keegan Oct. 1979 46 p acquiring remotely sensed data: satellite and aircraft borne digital refs scanner methods and airborne photographic methods. The two (AF Proj. 6670) digital scanner systems investigated for the study were the (AD-A084757: AFGL-TR-79-0255: AFG L-ERP-687) Avail: LAND SAT Multispectral Scanner System and the National NTIS HC A03/MF A01 CSCL 04/2 Aeronautics and Space Administration Modular Multispectral Methods of introducing digitized satellite imagery into short Scanner. The equipment and procedures used in these systems, range, objective forecasting operations are presented. The data which obtain the type of information required by the Regulatory archive being assembled for this study is described, with particular Functions Branch. Mobile District, are described. Aerial photo- attention given to the steps taken to maximize the accuracy of graphic systems are described, and examples of several the satellite imagery. These steps included fine tuning the applications of detection and monitoring procedures involving navigation and selecting procedures for normalizing the data by wetlands, waterbodies, and structures are given. A summary of correcting for the effects of Lambertian and anisotropic scattering. available remote sensing imagery from Federal and State Consistency of the data, spatial and temporal, was tested by agencies is given. GRA analysis of ground reflectance during cloudless days, and a pilot test of the specification of single layers of clouds was conducted. Both of these tests gave envouraging results. An N80-32024# RAND Corp.. Santa Monica. Calif. investigation of specifying precipitation rate, using just the visible ANOMALOUS SNOWFALL CAUSED BY NATURAL-DRAFT reflectance and infrared temperature of the cloud top. also COOLING TOWERS produced good results. Author Randall L. Koenig May 1980 48 p refs (Grant DE-AC03-76EV-01191) (RAND/N-1479-DOE) Avail: NTIS HC A03/MF A01 N80-33823 Louisiana State Univ. and A&M Coll.. Baton Rouge. Tabulation of a number of aerial observations of plumes at A QUANTITATIVE EVALUATION OF LANDSAT FOR subfreezing temperatures indicates that a cooling tower plume MONITORING SUSPENDED SEDIMENTS IN A FLUVIAL is likely to produce measurable snow if its temperature is colder CHANNEL Ph.D. Thesis than -13 C and the saturation deficit of the ambient air is less Soon Tae Kim 1980 142 p than 0.5 g m to the -3 power. These empirically derived criteria Avail: Univ. Microfilms Order No. 8021752 were tested using a numerical model of cloud microphysics that The utility of LANDSAT Multispectral Scanner (MSS) digital simulates the most important processes of transfer of water data for monitoring suspended sediment concentrations in a substance between vapor, liquid, and ice. including nucleation natural river channel was determined. Specific purposes of the and development of particle-size spectra. Among the many study were: to investigate vertical distribution of suspended quantities computed is the flux density of snow at the base of sediment concentrations at the cross section of the river channel: the plume. From this, together with average fallspeed and to develop a method of eliminating environmental effects from horizontal wind speed, the amount and pattern of snowfall at the MSS digital data obtained during successive LANDSAT the ground was computed. Comparison of the computational overpasses: to evaluate the statistical properties of MSS digital results with observations of actual plumes shows that the model data as related to suspended sediment concentrations in the has skill in predicting plume behavior and strongly supports the surface layers of a natural river, and to evaluate the feasibility criterion of -13 C for plume snowfall, however, the maximum of estimating suspended sediment concentrations in entire depth snowfall depth is predicted to occur nearer the source than is of the river channel via LANDSAT MSS digital data. observed. A.R.H. Dissert. Abstr.

206 06 HYDROLOGY AND WATER MANAGEMENT

N80-33825 Johns Hopkins Univ.. Baltimore. Md. Results of three tests to help demonstrate the magnitude of A WATERSHED INFORMATION SYSTEM Ph.D. Thesis this dependence are presented. The water depth to which the Anton Gaarde Thomsen 1980 167 p remote-sensor data was valid was always less than that of the Avail: Univ. Microfilms Order No. 8022427 Secchi disk depth, although not always the same fraction of A watershed information system for the analysis and that depth. The penetration depths were wavelength dependent simulation of mountain watersheds is described. Watershed and showed the greatest variation for the water type with largest information on topography, vegetation, and soils in digital terrain Secchi depth. The presence of a reflective plate, simulating a models (overlays) serve as the data base for watershed analysis, reflective subsurface, increased the apparent depth of light classification of snow in LAND SAT imagery, and automatic penetration from that calculated for water of infinite depth. T.M. generation of parameter decks for operating distributed simulation models of snow cover dynamics and streamflow generation. The computer programs that generate the parameter decks have built-in calibration options for all major processes, that permit fast model calibration from an interactive computer terminal, on watersheds with varying characteristics. Snow processes are simulated within square (5.76 ha) grid-cell elements. The hydrograph resulting from spring snowmelt is simulated by a lateral flow model of streamflow generation driven by the simulated spatially distributed imput (snowmelt and rain). Options are available for simulating the effects of forest management alternatives (thinning, clearcutting) on selected forest stands. Dissert. Abstr.

N80 33834*# Institute for Land and Water Management Research. Wageningen (Netherlands). DEFINING RELATIONSHIPS BETWEEN SURFACE CHARAC- TERISTICS AND ACTUAL EVAPORATION RATE M. Menenti. Principal Investigator Ispra. Italy Joint Research Center of the European Communities May 1980 25 p refs Presented at the 4th Meeting of Working Group 2 of the TELLUS Proj.. Monterotondo. Italy. 20-21 Nov. 1979 Sponsored by NASA HCMM (E80-10335: NASA-CR-163541) Avail: NTIS HC A02/MF A01 CSCL 058

N80-33849# Lockheed Electronics Co.. Inc., Las Vegas. Nev. Remote Sensing Lab. MULTISPECTRAL TECHNIQUES FOR REMOTE MONITOR- ING OF SEDIMENT IN WATER: A FEASIBILITY INVESTIGA- TION Ronald J. Holyer Mar. 1980 173 p refs (Contract EPA-68-03-2153) (PB80-198500: EPA-600/4-80-019) Avail: NTIS HC A08/MF A01 CSCL 138 A data acquisition and analysis program was undertaken to demonstrate the feasibility of remote multispectral techniques for monitoring suspended sediment concentrations in natural water bodies. Two hundred surface albedo measurements (400 to 1.000 nanometers) were made at Lake Mead with coincident water sampling for laboratory analysis. Water volume spectral reflectance was calculated from the recorded surface albedo, and volume reflectance-suspended sediment relationships were investigated. Statistical analysis has shown that quantitative estimates of nonfilterable residue (105 C) and nephelometric turbidity can be made from volume spectral reflectance data with sufficient accuracy to make the multispectral technique feasible for sediment monitoring. GRA

N80-33927*# National Aeronautics and Space Administration. Langley Research Center. Hampton. Va. TURBID WATER MEASUREMENTS OF REMOTE SENSING PENETRATION DEPTH AT VISIBLE AND NEAR-INFRARED WAVELENGTH W. D. Morris. W. G. Wine, and C. H. Whitlock Aug. 1980 11 p refs Presented at the Symp. on Surface-Water Impound- ments. Minneapolis. 2-5 Jun. 1980 (NASA-TM-81843) Avail: NTIS HC A02/MF A01 CSCL 138 Remote sensing of water quality is dicussed. Remote sensing penetration depth is a function both of water type and wavelength.

207 Page Intentionally Left Blank 07 gland, Dec. 18-20, 1978.) International Journal of Remote Sensing, vol. 1, Apr.-June 1980, p. 175-180. DATA PROCESSING AND The high efficiency techniques of data compression and 2-D digital filtering for the processing of remote sensing data obtained DISTRIBUTION SYSTEMS from earth resource satellites or aircraft photographs are presented. Consideration is given to equations and techniques for 2-D digital Includes film processing, computer technology, satellite and filtering using finite impulse response and infinite impulse response aircraft hardware, and imagery. filters, which is often applied before data compression techniques to improve data quality and extract useful results, and to methods of data compression using local space operators and two-dimensional transformations, which are used to reduce the amount of data and thus solve storage and handling problems. The application of these A80-44297 Segmentation-based boundary modeling for techniques to remote sensing data processing is discussed, and natural terrain scenes. C. A. McNary, D. K. Conti, and W. O. examples are presented. A.L.W. Eckhardt (Hughes Research Laboratories, Malibu, Calif.). In: Image understanding systems II; Proceedings of the Seminar, San Diego, Calif., August 29, 30, 1979. Bellingham. Wash., A80-49099 A color plotter system and its applications in Society of Photo-Optical Instrumentation Engineers, 1980, p. geoscience. K. Bladh (Lund Institute of Technology, Lund, Sweden) 108-116. 7 refs. Contract No. F33615-77-C-1227. and M. Jern (Lund, Universitet, Lund, Sweden). IEEE Transactions A segmentation-based boundary-modeling processor for natural on Geoscience and Remote Sensing, vol. GE-18, July 1980, p. terrain scenes is described. The processor relies on region segmenta- 256-263. 9 refs. Research supported by the Styrelsen for Teknisk tion for establishing boundary connectivity by eliminating competing Utveckling. line structure resulting from texture edges. Scene-boundary models 'A color plotter system using electrically controlled ink jets was and the hierarchical line representations of curvilinear features were developed for computer graphics output. The hardware and software generated using this processor. V.T. of this system are briefly described. Some examples of the application of this plotter to geoscience are given and illustrated in color. (Author) A80-46225 * Substorm warnings - An ISEE-3 real time data system. B. Tsurutani (California Institute of Technology, Jet Propulsion Laboratory, Pasadena. Calif.) and D. Baker (California, A80-49138 tt Remotely sensed data processing techniques, University, Los Alamos Scientific Laboratory, Los Alamos, N. Mex.). present and future. C. L. Wilson (Michigan, Environmental Research EOS, vol. 60, no. 41, 1979. 5 p. 18 refs. Research sponsored by the Institute, Ann Arbor, Mich.). In: Identifying irrigated lands using U.S. Department of Energy; Contract No. NAS7-100. remote sensing techniques: State of the Art; Proceedings of the The use of solar wind measurements made by ISEE-3 in its halo Symposium, Sioux Falls, S. Dak., November 15, 16, 1979. orbit around the LI libration point to predict the onsets of Omaha, Neb., Missouri River Basin Commission, 1980, magnetospheric substorms and geomagnetic storms is discussed. p. 5-16. Consideration is given to the limitations on the predictive ability of Techniques currently in use for the processing of remote sensing the satellite measurements set by the bulk solar wind velocity, the data at the Earth Resources Data Center of the Environmental elliptical orbit of the satellite and the correlation lengths of the Research Institute of Michigan are presented. Consideration is given magnetic field and the solar wind plasma. The ISEE-3 real-time data to software for the geometrical correction of Landsat data and the system is presented, with attention given to the ground receiving generation of maps and digital files using affine transformations, stations, the NASCOM communications system, the Multisatellite nonlinear nonmodel techniques and rigid model nonlinear tech- Operations Control Center and Information Processing Division at niques, the enhancement of images for the improved interpretation the Goddard Space Flight Center, the link between Goddard and the of Landsat data, spectral pattern recognition or categorization, and NOAA Space Environmental Services Center, and the NOAA Space the combination of Landsat data with that from other sources. It is Environment Laboratory data acquisition and display data system, concluded that future operational problems in the handling of which includes displays allowing storm forecasts. It is noted that the remotely sensed data will be managerial and political rather than entire system should be operational by March, 1980. A.L.W. technological in nature. A.L.W.

A80-46522 * ii The Landsat-D/Global Positioning System ex- A80-49521 Computer-assisted production of multi- periment. W. H. Wooden,' IT and J. Teles (NASA, Goddard Space coloured maps. P. Stefanovic and K. Sijmons (International Institute Flight Center, Greenbelt, Md.). American Institute of Aeronautics for Aerial Survey and Earth Sciences, Enschede, Netherlands). ITC and Astronautics and American Astronautical Society, Astrodynam- Journal, no. 1, 1980, p. 86-94. ics Conference, Darners, Mass., Aug. 11-13, 1980, AIAA Paper The paper discusses computer application in production of 80-1678. 10 p. 13 refs. multicolored maps. The calendar time between compilation and The paper presents data requirements, tests, and operational publishing of a map must be minimized, particularly for thematic procedures to validate the receiver/processor assembly (R/PA) data maps for land use, vegetation, and geology. Optronic Colorwrite to the 150 meter level and to calibrate the full capability of the C-4300 equipment can produce grey tones corresponding to the R/PA to the 10 meter level for the Landsat-D/Global Positioning amount of yellow, magenta, and cyan required for each different System experiment. Current work includes designing the software for area color on the map from original digital data. The continuous grey the validation and calibration processes, determining the best levels must be screened and enlarged in the camera before plate methods of calibration using the Ground Space Tracking Data making; special attention was given to rapid data capture, flexibility, Network (GSTDN), and determining the tracking schedule for and elimination of slow manual processes. A.T. GSTDN data to obtain best orbital accuracy. A.T.

A80-49657 *' Photometric problems, solved by means of space photography (Fotometricheskie zadachi, reshaemye s pomo- A80-47749 Application of high efficiency data compres- shch'iu sredstv kosmicheskoi fotos'emki). L. M. Matiiasevich (Gosu- sion and 2-D digital filtering techniques to remote sensing data darstvennyi Nauchno-lssledovatel'skii i Proizvodstvennyi Tsentr Pri- processing. V. Cappellini (Firenze, Universita, Florence, Italy). roda, USSR). Issledovanie Zemli iz Kosmosa. May-June 1980, p. (Remote Sensing Society. Annual Conference, 5th, Durham, En- 51-57. In Russian.

209 07 DATA PROCESSING AND DISTRIBUTION SYSTEMS

Algorithms for solving direct, inverse, and atmospheric photo- A80-50891 The use of topology concepts for supervised metric problems relating to the remote sensing of earth resources are and unsupervised classifications (Utilisation des notions de topologie presented. Consideration is also given to the accuracy of photometric pour !es classifications supervisees ou non). J. C. Lummaux (Institut measurements carried out with the aid of space photography. B.J. Geographique National, Saint-Mande, Val-de-Marne, France). In: Cartographic processing and analysis of satellite imagery; Interna- tional Conference, 3rd, Toulouse, France, June 19-22, 1979, A80-49658 # Allowance for light scattering in the atmo- Proceedings. Saint-Etienne, Loire, France, Edi- sphere in the processing of space photographs of the earth's surface tion Gedim, 1980, p. 118-121. In French. (Uchet rasseianiia sveta v atmosfere pri obrabotke kosmicheskikh Topology concepts are applied to the supervised and unsuper- snimkov zemnoi poverkhnosti). V. G. Zolotukhin, D. A. Usikov, and vised classification of satellite images. Particular attention is given to V. A. Grushin (Akademiia Nauk SSSR, Institut Kosmicheskikh the distinction between 'used distance' and 'used discriminant Issledovanii, Moscow, USSR). Issledovanie Zemli !z Kosmosa, May- function'. The notion of improperly classified data is also considered. June 1980, p. 58-68. 9 refs. In Russian. B.J. An optical radiation transfer equation is derived that includes the atmospheric transmittance function, the light source parameters, A80-50894 * The potential of Landsat-3 RBV images for and the spatial distribution of albedo. The kernel of the equation, thematic mapping. J. R. G. Townshend (Reading, University, which relates space imagery to ground-based imagery, was obtained Reading, Berks., England) and C. 0. Justice (NASA, Goddard Space both analytically and by the Monte Carlo method. An optimal filter Flight Center, Greenbelt, Md.). In: Cartographic processing and for atmospheric noise is described. B.J. analysis of satellite imagery; International Conference, 3rd, Tou- louse, France, June 19-22, 1979, Proceedings. A80-49665 # Estimates of the accuracy of the brightness Saint-Etienne, Loire, France, Edition Gedim, 1980, p. 139-144. conjunction of multispectral photographs (Nekotorye otsenki toch- The potential of Return Beam Vidicon (RBV) imagery from nosti energeticheskoi priviazki materialov mnogozonal'nogo foto- Landsat-3 is discussed for thematic mapping. The advantages of the grafirovaniia). L. G. Istomina (Akademiia Nauk SSSR, Institut imagery arising from its high spatial resolution are described as well Okeanologii, Moscow, USSR). Issledovanie Zemli iz Kosmosa, as the restrictions stemming from its limited spectral characteristics. May-June 1980, p. 104-107. In Russian. The principal application areas discussed are geomorphological and The paper presents results of the photometric processing of geological mapping and land cover mapping. (Author) space photographs of Lake Baikal in six regions of the visible and near-infrared bands. Emphasis is placed on the accuracy with which brightness conjunction can be estimated. A comparison of the A80-50906 The SPOT/Landsat image ground station - present data with airborne measurements of the spectral brightness Image preprocessing (Station sol images SPOT/Landsat - Pretraite- of the ocean-atmosphere system was used to determine the reliability ment des images). B. Cabrieres (Institut Geographique National, with which multispectral systems can be used to determine the Paris, France) and J. C. Cazaux (Centre National d'Etudes Spatiales, brightness of surface features. B.J. Toulouse, France). In: Cartographic processing and analysis of satellite imagery; International Conference, 3rd, Toulouse, France, June 19-22, 1979, Proceedings. Saint-Etienne, A80-50879 Cartographic display of space information - Loire, France, Edition Gedim, 1980, p. 224-232. In French. The different methods available at IGIM (Transcription carlo- Attention is given to the proposed ground station at Toulouse graphique des informations spatiales - Les differentes modalites for the reception and preprocessing of SPOT and Landsat D images. disponibles a I'lGIM). J. Denegre (Institut Geographique National, The mode of operation linked to the chosen architecture, product Paris, France). In'. Cartographic processing and analysis of satellite performance, and possible applications are examined. The proposed architecture is modular, extensible, and built around three indepen- imagery; International Conference, 3rd, Toulouse, France, June dent integrated subunits: receiving unit; the filing unit, rapid visual 19-22, 1979, Proceedings. Saint-Etienne, Loire, display, and cradle processor; and the preprocessing unit that permits France, Edition Gedim, 1980, p. 21-26. In French. the rectification of images. B.J. The use of different methods of display and storage of space imagery information is determined by the relationship between the image and the computer. Several computer assisted mapping tech- A80-51013 The detection of linear features using Landsat niques including the raster mode plotting technique on permanent data. C. M. Gurney (Reading University, Reading, Berks., England). and reproducible materials are described and examined. It is shown British Interplanetary Society, Journal I Image Processing), vol. 33, that pixel-image techniques provide a powerful analysis and visualiza- Oct. 1980, p. 361-368. 10 refs. Research supported by the Atomic tion in which recognition and representation of images in two Energy Research Establishment. dimensions become possible. A.C.W. Local operators are used to detect linear features in Landsat data of areas where such features are typically less than one pixel wide. Detection accuracy depends on the choice of threshold. The A80-50889 Information extraction from a Landsat image paper develops an analytical technique for threshold determination contained within an artificial outline (Extraction de ('information which predicts the detection accuracy for a linear feature of known d'une image Landsat contenue dans un contour artificiel). G. width. The technique is limited by the assumption that data Flouzat, P. Cassirame, G. Giordano, and T. Gilles-Lagrange (Centre contained in a local window adequately represent the full data set. d'Etude Spatiale des Rayonnements, Toulouse, France). In: Carto- This assumption will not be met where the background consists of graphic processing and analysis of satellite imagery; International more than one cover type or has a high variance, higher noise levels Conference, 3rd, Toulouse, France, June 19-22, 1979, Proceedings. being expected in these cases. The detection technique is tested on Saint-Etienne, Loire, France, Edition Gedim, five areas of Landsat data of the UK, predicted results according well 1980, p. 100-110. In French. with those actually observed. (Author) This paper describes a methodology used to extract a part of a remote sensing image which is delimited by a boundary obtained from external data. The processing algorithm computes the imagery coordinates of the boundary and realizes the extraction of the inner A80-51926 A new era in technology; Proceedings of the part of the image. The surface measurements permit comparison with Seventeenth Space Congress, Cocoa Beach, Fla., April 30-May 2, conventional land use inventories of administrative areas. Three 1980. Congress sponsored by the Canaveral Council of Technical applications are given and show the possible help of this technique in Societies. Cocoa Beach, Fla., Canaveral Council of Technical Soci- the evaluation of a remote sensing result. (Author) eties, 1980. 400 p. S30.

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The topics presented are a Shuttle update, the monitoring of the Institut Geologii i Geofiziki, Tashkent, Uzbek SSR). Issledovanie environment and natural resources, payloads, space technology Zemli iz Kosmosa, July-Aug. 1980, p. 25-29. 6 refs. In Russian. applications, international activities in space, and terrestrial energy systems. Particular consideration is given to mixed mode missions in A80-52055 ft Analysis of the results of an interpretation of the Space Transportation System, a real-time hyperbolic system for satellite and aerial protography of Western Uzbekistan (Analiz the detection and location of thunderstorms, a review of the rezul'tatov deshifrirovaniia aerokosmicheskikh snimkov Zapadnogo Canadian Space Program, and the DOE Ocean Energy Program. B.J. Uzbekistana). M. N. Tkhai (Akademiia Nauk Uzbekskoi SSR, Institut Geologii i Geofiziki, Tashkent, Uzbek SSR). Issledovanie Zemli iz Kosmosa, July-Aug. 1980, p. 30-34. 5 refs. In Russian. A80-51943 * Satellite temperature monitoring and predic- In the present paper, the results of an interpretation of satellite tion system. U. R. Barnett (NASA, Kennedy Space Center, Sciences, and aerial photography of Western Uzbekistan are compared and Technology, and Applications Office, Cocoa Beach, Fla.), J. D. examined in the light of geological and physical investigations. Martsolf (Florida, University, Gainesville, Fla.), and F. L. Crosby Conjectural, likely, and reliable lineament and structural features are (NOAA, National Weather Service, Ruskin, Fla.). In: A new era in identified. V.P. technology; Proceedings of the Seventeenth Space Congress, Cocoa Beach, Fla., April 30-May 2, 1980. Cocoa Beach, A80-52056 ff Experiment aimed at standardizing Fla., Canaveral Council of Technical Societies, 1980, p. 4-9 to 4-20. anthropogenic changes of the natural environment from satellite and 5refs. aerial photographs (Opyt etalonirovaniia antropogennykh izmenenii The paper describes the Florida Satellite Freeze Forecast System prirodnoi sredy po aerokosmicheskim snimkam). E. V. Glushko (SFFS) in its current state. All data collection options have been (Moskovskii Gosudarstvennyi Universitet, Moscow, USSR). demonstrated, and data collected over a three year period have been Issledovanie Zemli iz Kosmosa, July-Aug. 1980, p. 35-39. 26 refs. In stored for future analysis. Presently, specific minimum temperature Russian. forecasts are issued routinely from November through March. The Standardization of images is a primary requirement in the procedures for issuing these forecast are discussed. The automated development of methods for studying anthropogenic changes of the data acquisition and processing system is described, and the physical environment. In the present paper, identified standards are classified, and statistical models employed are examined. V.P. using systematic and territorial critera. Image characteristics are coded with respect to anthropogenic changes of the environment, the geographic conditions, the structure of satellite and aerial imagery, A80-52051 # New data on the geological structure of the and the conditions under which the photographs were taken. V.P. Verkhoiany-Kolyma fold region from an analysis of satellite TV images (Novye dannye o geologicheskom stroenii Verkhoiano-Kolymskoi skladchatoi oblasti na osnovanii analiza A80-52057 ft Diurnal behavior of the spectral reflectivity of televizionnykh kosmicheskikh snimkov). A. L. lanshin, Z. M. vegetation and soils (Dnevnoi khod spektral'noi otrazhatel'noi Khvorostova, and V. A. Zabelin (Akademiia Nauk SSSR, Institut sposobnosti rastitel'nosti i pochv). K. la. Kondrat'ev (Glavnaia Geologii i Geofiziki and Vychislitel'nyi Tsentr, Novosibirsk, USSR). Geofizicheskaia Observatoriia, Leningrad, USSR) and P. P. Issledovanie Zemli iz Kosmosa, July-Aug. 1980, p. 5-12. 17 refs. In Fedchenko (Vsesoiuznyi Nauchno-lssledovatel'skii Institut Russian. Sel'skokhoziaistvennoi Meteorologii, Obninsk, USSR). Issledovanie Zemli iz Kosmosa, July-Aug. 1980. p. 40-47. 17 refs. In Russian. The influence of the elevation of the sun on the spectral A80-52052 // Geological analysis of the Urals-Oman reflectivity of soils and vegetation is examined. It is shown that superlineament from satellite imagery (Kosmogeologicheskie variation of spectral reflectivity is caused primarily by diurnal issledovaniia Uralo-Omanskogo superlineamenta). V. A. Bush, V. V. changes in the ratio of direct to scattered radiation. V.P. Kozlov (Vsesoiuznoe Aerogeologicheskoe Nauchno-Proizvodstvennoe A80-52058 ft Invariant photometric features of natural Ob'edinenie Aerogeologiia, Moscow, USSR), V. I. Sevast'ianov, and objects (Invariantnye fotometricheskie priznaki prirodnykh V. V. Kovalenok. Issledovanie Zemli if Kosmosa, July-Aug. 1980, p. ob'ektov). I. S. Garelik (Akademiia Nauk SSSR, Institut Geografii, 13-17. 8 refs. In Russian. Moscow, USSR). Issledovanie Zemli iz Kosmosa, July-Aug. 1980, p. The aim of the present paper is to demonstrate the effectiveness 48-52. In Russian. of satellite imagery application to geological studies on a global scale. A method is proposed for calculating the invariant photometric The important role of the Urals-Oman superlineament in structure of features of natural objects, which are functions of the optical the lithosphere is demonstrated. V.P. densities of zonal photographic images of the objects and which are almost independent of the conditions under which the photographs A80-52053 •/ Mapping a geologicostructural scheme of the are taken. Some example applications of such features to the remote Kola peninsula from satellite- imagery (Sostavlenie geologo- sensing of crops are examined. V.P. strukturnoi skhemy Kol'skogo poluostrova po kosmicheskim snimkam). L. I. Uvad'ev, G. V. Matveeva, and V. A. Perevozhikova A80-52059 jf Determination of the spectral characteristics (Proizvodstvennoe Geologicheskoe Ob'edinenie Sevzapgeologiia, of soils and vegetation (Opredelenie spektral'nykh kharakteristik Leningrad, USSR). Issledovanie Zemli iz Kosmosa, July-Aug. 1980, pochvy i rastitel'nosti). L. N. Vasil'ev (Akademiia Nauk SSSR, p. 18-24. 7 refs. In Russian. Institut Geografii, Moscow, USSR). Issledovanie Zemli iz Kosmosa. A method is proposed for the visual and photooptical interpreta- July-Aug. 1980. p. 53-58. In Russian. tion of satellite images with the aim of obtaining a lineament scheme An MSS image processing and interpretation technique is as a basis for analytical studies. Some results of this method are proposed and illustrated by applying it to the soils and vegetation of examined. A 1:500,000 scheme of the Kola peninsula, on which a steppe region. Analysis of the spectral brightness characteristics at areas of useful earth resources are indicated, is presented and 490 to 1060 microns showed that observations in three narrow discussed. V.P. wavelength regions - 490 to 630 microns, 685 to 730 microns, and 800 to 1100 microns - are sufficient to solve the classification A80-52054 $ Experiment with the composition of a problem. The general properties of the spectral brightness density geological map on the basis of interpretations of Meteor satellite functions are identified. V.P. television images /using Central Asia as an example/ (Opyt sostavleniia kosmogeologicheskoi karty na osnove deshifrirovaniia A80-52060 ,7 Practical aspects of radiative correction of televizionnykh snimkov s ISZ 'Meteor' /na primere Srednei Azii/l. A. multispectral video information (Prakticheskie aspekty radiatsionnoi B. Kirillov and 0. M. Borisov (Akademiia Nauk Uzbekskoi SSR, korrektsii mnogozonal'noi videoinformatsii). V. V. Asmus, lu. G.

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Spiridonov, and A. P. Tishchenko (Gosudarstvennyi A80-52066 # Comparison of interpretations of radar images Nauchno-lssledovatel'skii Tsentr Izucheniia Prirodnykh Resursov, and space photographs of a high degree of generalization on the Moscow, USSR), Issledovanie Zemli iz Kosmosa, July-Aug. 1980, p. example of the Zarkainarskii intrusive massif /southern Tien-Shan/ 59-68. 6 refs. In Russian. (Sopostavlenie rezul'tatov deshifrirovaniia radiolokatsionnykh The radiative correction algorithms examined in the present snimkov i kosmofotosnimkov detal'nogo urovnia generalizatsii na paper require very little additional information and can be readily primere Zarkainarskogo intruzivnogo massiva /iuzhnyi Tian'-ShanV). realized on a computer. A statistical approach to the correction V. N. Kozlov (Akademiia Nauk Uzbekskoi SSR, Institut Geologii i problem is proposed, and the question of selecting image Geofiziki, Tashkent, Uzbek SSR). Issledovanie Zemli iz Kosmosa, representation units is discussed. V.P. July-Aug. 1980, p. 109-112. In Russian.

A80-52061 :! Optical spatial-frequency characteristic of the A80-53004 H Results of the complex processing of photo- atmosphere and its applications (Opticheskaia prostranstvenno- graphs taken from the Salyut space stations (Rezul'taty kompleksnoi chastotnaia kharakteristika atmosfery i ee prilozheniia). I. V. Mishin obrabotki materialov s'emok s orbital'nykh pilotiruemykh stantsii (Gosudarstvennyi Nauchno-lssledovatel'skii Tsentr Izucheniia Prirod- 'Saliut'). V. D. Bol'shakov, N. P. Lavrova, B. V. Krasnopevtseva, E. nykh Resursov, Moscow, USSR) and T. A. Sushkevich (Akademiia M. Nikolaeva, and V. V. Usova (Moskovskii Institut Inzhenerov Nauk SSSR, Institut Prikladnoi Wlatematiki, Moscow, USSR). Issle- Geodezii, Aerofotos'emki i Kartografii, Moscow, USSR). Geodeziia i dovanie Zemli iz Kosmosa, July-Aug. 1980, p. 69-80. 27 refs. In Aerofotos'emka, no. 4, 1980, p. 64-72. In Russian. Russian. The features of photographs of the earth's surface taken from A method is proposed for studying the transformation of the the Salyut 3 and 5 stations are described along with methods for the spatial brightness distribution of a light field in the atmosphere. The processing of these photographs. The aim of this processing is the method makes use of the spatial-frequency characteristic of the compilation of thematic maps and the modification of small-scale scattering layer, the calculation of which is reduced to the solution topographic maps. B.J. of a parametric set of boundary problems of transport theory. V.P. A80-53005 H Investigation of the accuracy of transposition A80-52062 // Imaging in many frequency bands (O struktu- of landmarks and contour points to small-scale aerial photographs rozonal'noi s'emke). la. L. Ziman (Akademiia Nauk SSSR, Institut (Issledovanie tochnosti perenosa opoznakov i konturnykh tochek na Kosmicheskikh Issledovanii, Moscow, USSR). Issledovanie Zemli iz melkomasshtabnyeaerosnimki). M. P. Shul'mina (Moskovskii Institut Kosmosa, July-Aug. 1980, p. 81-84. In Russian. Inzhenerov Geodezii, Aerofotos'emki i Kartografii, Moscow, USSR). The principle and distinctive features of a remote sensing Geodeziia i Aerofotos'emka, no. 4, 1980, p. 85-92. 5 refs. In method based on the use of various regions of the spatial frequency Russian. spectrum are examined. An onboard sensor design and a data The paper analyzes errors associated with the transposition of management system are proposed. V.P. landmarks and contour points from aerial photographs of scale 1:17,000 (from 1949) to aerial photographs of scales 1:140,000 and A80-52063 H Automatic selection of reference objects for 1:70,000 (from 1971). A statistical approach is used to study error comparing aerial and satellite photographs (Avtomaticheskii vybor distributions and the factors influencing the magnitude of error. B.J. opornykh ob'ektov dlia sopostavleniia aerokosmicheskikh snimkov). A. N. Belinskii (Vsesoiuznyi Nauchno-lssledovatel'skii i Proektno- Tekhnologicheskii Institut Kibernetiki, Moscow, USSR) and L. P. N80-28768*# Tennessee Univ. Space Inst.. Tullahoma. Remote Sensing Div. laroslavskii (Akademiia Nauk SSSR, Institut Problem Peredachi DIGITAL LANDSAT DATA ANALYSIS OF TENNESSEE Final Informatsii, Moscow, USSR). Issledovanie Zemli \z Kosmosa, July- Report. 1 Dec. 1978 - 31 Jan. 1980 Aug. 1980, p. 85-91. 5 refs. In Russian. F. Shahrokhi. Principal Investigator and Asif Kahn 28 Mar. 1980 An automatic method of selecting readily identifiable landmarks 56 p ERTS on photographs is proposed. For illustration, the algorithm is applied (Contract NAS8-33218) to the selection of reference objects on aerial and satellite photo- (E80-10130: NASA-CR-161424) Avail: NTIS graphs. V.P. HC A04/MF A01 CSCL 05B

A80-52064 ft Analytical geographic gridding of natural ob- N80 28769* # Lockheed Electronics Co.. Houston. Tex. Systems jects from aerial and satellite multispectral scanner images (Analiti- and Services Div. cheskaia geograficheskaia priviazka prirodnykh ob'ektov po skaner- AS BUILT SPECIFICATION FOR CCIT6A PROCESSOR nym aerokosmicheskim izobrazheniiam). B. A. Novakovskii and lu. PROGRAM V. Sventek (Moskovskii Gosudarstvennyi Universitet, Moscow, W. P. White. Principal Investigator Aug. 1978 68 p ERTS USSR). Issledovanie Zemli iz Kosmosa, July-Aug. 1980, p. 92-96. 7 (Contract NAS9-15200) (E80-10168: NASA-CR-160597: LEC-12303: JSC-14368) refs. In Russian. Avail. NTIS HC A04/MF A01 CSCL 05B The theory underlying the analytical transition from a multispectral scanner image to a map of prescribed projection and scale, N80-28770*# Lockheed Electronics Co.. Houston, Tex. Systems by way of modelling the corresponding coordinate determinations, is and Services Div. outlined. A method of allowing for the residual distortions of a AS BUILT DESIGN SPECIFICATION FOR LACIE FORMAT- multispectral scanner image is proposed. V.P. TED DOT CARDS IN EOD-LARSYS P. J. Aucoin. Jr. and Jeannie Gor. Principal Investigators Apr. A80-52065 ft Distortion of satellite photographs obtained 1978 26 p ERTS by scanning systems (Iskazheniia kosmicheskikh snimkov, poluchen- (Contract NAS9-15200) (E80-10169: NASA-CR-160650: LEC-12154: JSC-13972) nykh skaniruiushchimi sistemami). V. I. lurov (Akademiia Nauk Avail: NTIS HC A03/MF A01 CSCL 05B SSSR, Institut Kosmicheskikh Issledovanii, Moscow, USSR). Issledo- vanie Zemli iz Kosmosa, July-Aug. 1980, p. 97-104. 7 refs. In •N80-28771*# Lockheed Electronics Co., Houston. Tex. Systems Russian. and Services Div. The analysis deals with the influence on the image elements of AS-BUILT DESIGN SPECIFICATION FOR THE YIELD such factors as the earth's curvature and rotation, the landscape ESTIMATION SUBSYSTEM (YES) OPERATIONAL ROB- features, satellite motion, beam refraction, and imperfections of the ERTSON PHENOLOGICAL MODEL inner geometry of the imaging system. Means of improving the K. Williams. Principal Investigator Jun. 1977 118 p ERTS geometrical quality of images by allowing for the influence of these (E80-10170: NASA-CR-160680: LEC-10743: JSC-12941) factors are examined. V.P. Avail: NTIS HC A06/MF A01 CSCL 02C

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N80-28772*# Lockheed Electronics Co.. Houston. Tex. Aero- Jeannie Gor. Principal Investigator Jul. 1977 29 p ERTS space Systems Div. (Contract NAS9-15200) AS-BUILT DESIGN SPECIFICATION FOR THE 1-100 TAPE (E80-10178: NASA-CR-160647: LEC-10969: JSC-12656) READ CONSOLIDATION PROGRAM (FULOI) Avail: NTIS HC A03/MF A01 CSCL 05B T. R. Kell. Principal Investigator Jul. 1977 74 p ERTS (Contract NAS9-15200) N80-28780*# Lockheed Electronics Co.. Houston. Tex. Aero- (E80-10171: NASA-CR-160596: LEC-9925-Rev-A: space Systems Div. JSC-11848-Rev-A) Avail: NTIS HC A04/MF A01 CSCL FINAL DESIGN SPECIFICATION FOR ERIPS FIELDS DATA 05B BASE DECK CONVERSION Cheevon Bo-Linn. Principal Investigator Aug. 1977 41 p N80-28773*# Lockheed Electronics Co.. Houston. Tex. Systems ERTS and Services Div. (Contract NAS9-15200) AS-BUILT DESIGN SPECIFICATION FOR THE BRAZIL AND (E80-10179: NASA-CR-160646: LEC-10960: JSC-12655) CHINA MONTHLY DATA BASES Avail: NTIS HC A03/MF A01 CSCL 05B K. Williams. Principal Investigator May 1977 20 p ERTS (Contract NAS9-15200) N80-28781*# Lockheed Electronics Co.. Houston. Tex. Systems (E80-10172: NASA-CR-160677: LEC-10573: JSC-12892) and Services Div. Avail: NTIS HC A02/MF A01 CSCL 05B DETAILED DESIGN SPECIFICATION FOR THE YIELD ESTIMATION SUBSYSTEM DATA MANAGEMENT SYSTEM N80-28774*# Lockheed Electronics Co.. Houston. Tex. Systems (YESDAMS) and Services Div. T. G. Phillips. R. L. Davenport. R. F. Hansen, and K. F. Williams. Principal Investigators Jul. 1977 107 p ERTS FINAL DESIGN SPECIFICATION FOR EOD LARSYS/ (Contract NAS9-15200) STATISTICS AND DATA TRANSFORMATION PROCES- SORS MODIFICATION (E80-10180: NASA-CR-160623: LEC-11110: JSC-13064) Cheevon Bo-Linn, Principal Investigator Mar. 1978 325 p Avail: NTIS HC A06/MF A01 CSCL 05B ERTS N80-28782*# Lockheed Electronics Co.. Houston. Tex. Systems (Contract NAS9-15200) and Services Div. (E80-10173: NASA-CR-160630: LEC-12030: JSC-13921) MODIFICATIONS TO THE CLASY PROGRAM Avail: NTIS HC A14/MF A01 CSCL 05B B. McCray. Principal Investigator Apr. 1977 102 p ERTS N80-28775*# Lockheed Electronics Co.. Houston. Tex. Systems (Contract NAS9-15200) and Services Div. (E80-10181: NASA-CR-160673: LEC-10481: JSC-12602) AS-BUILT DESIGN SPECIFICATION FOR EOD-LARSYS Avail: NTIS HC A06/MF A01 CSCL 05B PROCEDURE 1 B. E. Wills. C. T. Gardner, and P. J. Aucoin. Jr.. Principal N80-28783*# Lockheed Electronics Co.. Houston. Tex. Systems Investigators Oct. 1977 307 p ERTS and Services Div. (Contract NAS9-15200) PROGRAM DOCUMENTATIONS: MARQTY1.FTN. CAM (E80-10174: NASA-CR-160626: LEC-11293: JSC-13143) DATA1.FTN Avail: NTIS HC A14/MF A01 CSCL 05B M. A. Mendlowitz. Principal Investigator . Aug. 1978 25 p ERTS N80-28776*# Lockheed Electronics Co.. Houston. Tex. Systems (Contract NAS9-15200) and Services Div. (E80-10182: NASA-CR-160593: LEC-12376) Avail: NTIS AS-BUILT DESIGN SPECIFICATION FOR LACIE PHASE 3 HC A02/MF A01 CSCL 05B AUTOMATIC STATUS AND TRACKING SYSTEM 0. L. Smith. J. L Allison. J. M. Everette. and C. C. DeValcourt. N80-28784*# Lockheed Electronics Co.. Houston. Tex. Systems Principal Investigators Jun. 1977 158 p ERTS and Services Div. (Contract NAS9-15200) DESIGN SPECIFICATION FOR DOT DATA BASE UPDATE (E80-10175: NASA-CR-160672: LEC-10419-Rev-A: DECK CONVERSION PROGRAM (DOTDEC) JSC-12743-Rev-A) Avail: NTIS HC A08/MF A01 CSCL Jeannie Gor. Principal Investigator Jun. 1977 8 p ERTS 05B (Contract NAS9-15200) (E80-10183: NASA-CR-1 60681: LEC-10790: JSC-12958) N80-28777*# Lockheed Electronics Co.. Houston. Tex. Systems Avail: NTIS HC A02/MF A01 CSCL 05B and Services Div. N80-28785*# Lockheed Electronics Co.. Houston. Tex. Systems DESIGN SPECIFICATION FOR LARSYS PROCEDURE 1 FOLLOW-ON and Services Div. P. J. Aucoin. Jr.. Principal Investigator Oct. 1977 9 p ERTS AS-BUILT DESIGN SPECIFICATION FOR PRODUCTION FILM CONVERTER GAINS AND BIASES PROGRAM (Contract NAS9-15200) (E80-10176: NASA-CR-1 60627: LEC-11298: JSC-13144) (PFCGAB) Avail: NTIS HC A02/MF A01 CSCL 05B C. T. Gardner. Principal Investigator Nov. 1977 182 p ERTS (Contract NAS9-15200) (E80-10184: NASA-CR-160638: LEC-11678: JSC-13822) N80-28778*# Lockheed Electronics Co.. Houston. Tex. Systems Avail: NTIS HC A09/MF A01 CSCL 058 and Services Div. DESIGN SPECIFICATION FOR EOD LARSYS/STATISTICS N80-28786*# Lockheed Electronics Co.. Houston. Tex. Systems AND DATA TRANSFORMATION PROCESSORS MODIFICA- TION and Services Div. Cheevon Bo-Linn. Principal Investigator Oct. 1977 48 p LACIE/PHASE 3 ADJUSTABLE CROP CALENDAR (ACC) CONFIGURATION CONTROL PROCEDURES MANUAL ERTS K. Williams. Principal Investigator Jun. 1977 16 p ERTS (Contract NAS9-15200) (E80-10177: NASA-CR-160628: LEC-11357: JSC-13665) (Contract NAS9-15200) (E80-10186: NASA-CR-160682. LEC-10800. JSC-12963) Avail: NTIS HC A03/MF A01 CSCL 05B Avail: NTIS HC A02/MF A01 CSCL 05B

N80-28779*# Lockheed Electronics Co.. Houston. Tex. Systems N80-28787*# Lockheed Electronics Co.. Houston, Tex. Systems and Services Div. and Services Div. PROGRAM DOCUMENTATION: FINAL DESIGN SPECIFI- RECOMMENDATIONS AND COMMENTS CONCERNING CATION FOR DOT DATA BASE UPDATE DECK CONVER- DOCUMENTATION ON THE MICROWAVE ACTIVE SPEC- SION PROGRAM (DOTOEC) TROMETER SYSTEMS

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W. A. Rosenkranz and D. P. Pounds. Principal Investigators Jun. (Contract NAS9-15200) 1977 127 p refs ERTS (E80-10197: NASA-CR-160631: LEC-11882: JSC-13894) (Contract NAS9-15200) Avail: NTIS HC A07/MF A01 CSCL 02C (E80-10187: NASA-CR-160679: LEC-10715: JSC-12946) Avail: NTIS HC A07/MF A01 CSCL 058 N80-28795*# Lockheed Electronics Co.. Houston. Tex. Systems N80-28788*# Lockheed Electronics Co.. Houston. Tex. Systems and Services Div. and Services Div. AS-BUILT DESIGN SPECIFICATION FOR HISTORICAL FUNCTIONAL DESIGN SPECIFICATION FOR ENHANCE- DAILY DATA BASES FOR TESTING ADVANCED MODELS MENT OF THE AUTOMATIC STATUS AND TRACKING B. Jeun and K. Williams. Principal Investigators Jan. 1978 SYSTEM SOFTWARE 76 p ERTS D. K. McCarley. J. M. Everette, and K. P. Eckel. Principal (Contract NAS9-15200) Investigators Sep. 1977 60 p ERTS (E80-10198: NASA-CR-160675: LEC-10572-Rev-A: (Contract NAS9-15200) JSC-12891-Rev-A) Avail: NTIS HC A05/MF A01 CSCL (E80-10190: NASA-CR-160624: LEC-11199: JSC-13110) 058 Avail: NTIS HC A04/MF A01 CSCL 05B N80-28796*# Lockheed Electronics Co.. Houston. Tex. Systems N80-28789*# Lockheed Electronics Co., Houston. Tex. Systems and Services Div. and Services Div, DESIGN SPECIFICATION FOR LA R SYS PROCEDURE 1 A DISCRIMINANT APPROACH TO PARAMETER ESTIMA- B. E. Wills. C. T. Gardner, and P. J. Aucoin. Jr. Principal TION IN THE LINEAR MODEL WITH UNKNOWN VARI Investigators Apr 1977 145 p ERTS ANCE-COVARIANCE MATRIX (Contract NAS9-15200) C. R. Hallum (NASA. Johnson Space Flight Center! and M. D. (E80-10199: NASA-CR-1 6067 1: LEC-10417: JSC-12742) Pore. Principal Investigators 1977 10 p refs Presented at Avail: NTIS HC A07/MF A01 CSCL 05B the Ann. Meeting of the Am. Statist. Assoc., Chicago. 15-18 Aug. 1977 ERTS (Contract NAS9-15200) N80-28797*# Lockheed Electronics Co.. Houston, Tex. Systems (E80-10192: NASA-CR-160676: LEC-10532: JSC-13036) and Services Div. Avail: NTIS HC A02/MF A01 CSCL 058 AS BUILT DESIGN SPECIFICATION FOR POP 11/45 ACCURACY ASSESSMENT SYSTEM N80-28790*jjl Lockheed Electronics Co.. Houston, Tex. Systems C W. Ahlers. Principal Investigator Dec. 1977 190 p ERTS and Services Div. (Contract NAS9-1 5200) LACIE FIELD MEASUREMENTS DATA ACQUISITION (E80-10200: NASA-CR-160632: LEC-11358-Rev-A: SUMMARY REPORT. 1975 - 1976 CROP YEAR JSC-13666-Rev-A) Avail: NTIS HC A09/MF A01 CSCL Jan. 1977 29 p ERTS 058 (Contract NAS9-15200) (E80-10193: NASA-CR-160645: LEC-9970: JSC-11882) Avail: N80-28851# Defense Mapping Agency Aerospace Center. St. NTIS HC A03/MF A01 CSCL 058 Louis, Mo. Advanced Technology Div. N80-28791*# Lockheed Electronics Co., Houston. Tex. Systems DIGITAL IMAGE TECHNOLOGY 1980: EMERGING and Services Div. PRODUCTION APPLICATIONS Final Report USER S GUIDE: LARGE AREA CROP INVENTORY Marshall B. Faintich 5 Mar. 1980 19 p ref Submitted for EXPERIMENT (LACIE) PHASE 3 POP 11/45 AUTOMATIC publication Original contains color illustrations STATUS AND TRACKING SYSTEM (AD-A085163) Avail: NTIS HC A02/MF A01 CSCL 08/2 C. C. deValcourt. Principal Investigator Jun 1977 49 p The Defense Mapping Agency Aerospace Center has ERTS developed a program to exploit digital image technology for the (Contract NAS9-15200) advancement of mapping, charting, and geodesy. Primary (E80-10194: NASA-CR-160642: LEC-10148-Rev-A: investigations include image processing, analysis, and display JSC-12535-Rev-A| Avail: NTIS HC A03/MF A01 CSCL techniques, and computer image generation. A dramatic impact 05B has been made in the ability to produce, analyze, and validate various digital data bases produced by the Defense Mapping Agency by applying state-of-the-art digital image technology N80-28792*# Lockheed Electronics Co., Houston, Tex. Systems concepts to the development of new interactive prototype and and Services Div. production systems. GRA A STATISTICAL TEST PROCEDURE FOR DETECTING MULTIPLE OUTLIERS IN A DATA SET R. S. Chhikara. Principal Investigator and A. H. Feiveson Nov. N80 29780*# Lockheed Electronics Co.. Houston, Tex. Systems 1978 18 p refs ERTS and Services Div. (Contract NAS9-15200) USER DOCUMENTATION EOD-LARSYS EARTH OBSERVA- (E80-10195: NASA-CR-1 60599: LEC-12910: JSC-14594) TIONS DIVISION VERSION OF THE LABORATORY FOR Avail: NTIS HC A02/MF A01 CSCL 058 APPLICATIONS OF REMOTE SENSING SYSTEM R. T. Minter. B. E. Wills, and C. T. Gardner, Principle Investigator N8O-28793*# Lockheed Electronics Co.. Houston. Tex. Systems Jul. 1977 521 p refs Revised ERTS and Services Div. (Contract NAS9-15200) AS-BUILT DESIGN SPECIFICATION OF THE CAMS/CAS (E80-10188: NASA-CR-160617: LEC-3984-Rev-4: INTERFACE TAPE REPORT GENERATION PROGRAM FOR JSC-12504-Rev-4) Avail: NTIS HC A22/MF A01 CSCL LACIE 6A 058 W. A. Holley. Principal Investigator Oct. 1977 63 p ERTS (Contract NAS9-15200) N80 29781*# Lockheed Electronics Co.. Houston. Tex. Aero- (E80-10196: NASA-CR-1 60625: LEC-1 1 292: JSC-13142) space Systems Div. Avail: NTIS HC A04/MF A01 CSCL 058 AS-BUILT DESIGN SPECIFICATION FOR METRO DATA EDIT PROGRAM E. L Wilson. Principal Investigator Dec. 1976 43 p ERTS N80-28794*# Lockheed Electronics Co.. Houston. Tex. Systems (Contract NAS9-15200) and Services Div. AS-BUILT DESIGN FOR ENHANCEMENT OF THE AUTO- (E80-10201: NASA-CR-160620; LEC-9888: JSC-11838) Avail: MATIC STATUS AND TRACKING SYSTEM SOFTWARE NTIS HC A03/MF A01 CSCL 05B D. K. McCarley. Principal Investigator and L. D. Dornell Feb. N80 29782*$ Lockheed Electronics Co.. Houston. Tex. Systems 1978 146 p ERTS and Services Div.

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AS-BUILT DESIGN SPECIFICATION OF THE CAM/CAS R. M. Rodriguez. Principal Investigator Dec. 1976 61 p INTERFACE TAPE REPORT GENERATION PROGRAM FOR ERTS LACIE 7 (Contract NAS9-15200) K. P. Eckel. Principal Investigator Mar. 1978 123 p ERTS (E80-10210: NASA-CR-160648: LEC-9963: JSC-11864) Avail: (Contract NAS9-15200) NTIS HC A04/MF A01 CSCL 05B (E80-10203: NASA-CR-160629; LEC-12022: JSC-13917; LEC-11292) Avail: NTIS HC A06/MF A01 CSCL 05B N80-2979O*# Lockheed Electronics Co.. Houston. Tex. Systems and Services Div. N80-29783*# Lockheed Electronics Co.. Houston. Tex. Systems FINAL DESIGN SPECIFICATION FOR EOD-LARSYS/DATA and Services Div. TRANSFORMATION PROCESSOR MODIFICATION AS-BUILT DESIGN SPECIFICATION OF THE CAMS/CAS J. K. Rowland. Principal Investigator Apr. 1977 112 p ERTS INTERFACE TAPE REPORT GENERATION PROGRAM (Contract NAS9-15200) W. A. Holley. Principal Investigator Feb. 1977 69 p ERTS (E80-10211: NASA-CR-160678: LEC-10662: JSC-12917) (Contract NAS9-15200) Avail: NTIS HC A06/MF A01 CSCL 05B (E80-10204: NASA-CR-160619; LEC-9882: JSC-12560) Avail: NTIS HC A04/MF A01 CSCL 05B N80-29791*# Lockheed Electronics Co.. Houston. Tex. Systems and Services Div. N80-29784*# Lockheed Electronics Co.. Houston. Tex. Systems FINAL DESIGN SPECIFICATION FOR EOD-LARSYS and Services Div. PROCEDURE 1 FOLLOW-ON DESIGN SPECIFICATION FOR SECONDARY ERROR P. J. Aucoin. Jr.. Principal Investigator Dec. 1977 44 p SOURCES MULTI-TEMPORAL BAYES CLASSIFIER ERTS P. J. Aucoin. Jr., Principal Investigator Dec. 1977 13 p (Contract NAS9-15200) ERTS (E80-10213: NASA-CR-160635: LEC-11618: JSC-13817) (Contract NAS9-15200) Avail: NTIS HC A03/MF A01 CSCL 05B (E80-10205: NASA-CR-160636: LEC-11677: JSC-13823) Avail: NTIS HC A02/MF A01 CSCL 05B NBO-29792'I Lockheed Electronics Co.. Houston. Tex. Systems and Services Div. PROGRAM DOCUMENTATION: AS-BUILT DESIGN N80-29785*# Lockheed Electronics Co.. Houston. Tex. Systems SPECIFICATION FOR GENERALIZED LINEAR MODEL and Services Div. ANALYSIS OF VARIANCE PROGRAM (GLMAOV) DESIGN SPECIFICATION FOR EQUIPROBABLE BLOCKS Jeannie S. Gor. Principal Investigator Mar. 1978 57 p ERTS DENSITY ESTIMATORY/CLASSIFIER/DOT SELECTOR (Contract NAS9-15200) P. J. Aucoin. Jr.. Principal Investigator Dec. 1977 19 p (E80-10214: NASA-CR-160649: LEX-12085: JSC-13945) ERTS Avail: NTIS HC A04/MF A01 CSCL 05B (Contract NAS9-15200) (E80-10206: NASA-CR-160637: LEC-11676: JSC-138241 N80-29793*# Lockheed Electronics Co.. Houston. Tex. Systems Avail: NTIS HC A02/MF A01 CSCL 05B and Services Div. DESIGN SPECIFICATION FOR LACIE FORMATTED DOT CARDS IN EOD-LARSYS N80-29786*# Lockheed Electronics Co.. Houston. Tex. Systems P. J. Aucoin, Jr. and Jeannie S. Gor. Principal Investigators Dec. and Services Div. 1977 14 p ERTS AS-BUILT DESIGN SPECIFICATION FOR THE CAMS (Contract NAS9-15200) IMAGE-100 HYBRID SYSTEM. VOLUME 1: SYSTEM (E80-10215: NASA-CR-160639: LEC-11703: JSC-13837) DESIGN Avail: NTIS HC A02/MF A01 CSCL 05B L E. Giddings. Principal Investigator Aug. 1977 322 p ERTS 2 Vol. N80-29794*# Lockheed Electronics Co., Houston. Tex. Systems (Contract NAS9-15200) and Services Div. (E80-10207: NASA-CR-160644: LEC-10822-Vol-1: AS-BUILT DESIGN SPECIFICATION FOR BOUNDARY JSC-13030-Vol-1) Avail: NTIS HC A14/MF A01 CSCL 05B DETECTION AND REGISTRATION PROGRAM (BDARP1) D. P. McKay and F. Collen. Principal Investigators Aug. 1977 N80-29787*# Lockheed Electronics Co.. Houston. Tex. Systems 116 p ERTS and Services Div. (Contract NAS9-15200) AS-BUILT DESIGN SPECIFICATION FOR THE CAMS (E80-10217: NASA-CR-1 6062 1: LEC-11074: JSC-13055) IMAGE-100 HYBRID SYSTEM. VOLUME 2: DETAILED Avail: NTIS HC A06/MF A01 CSCL 05B FLOW CHARTS AND PROGRAM LISTINGS L. E. Giddings. Principal Investigator Aug. 1977 397 p ERTS 2 Vol. N80-29795*| Lockheed Electronics Co.. Houston. Tex. Systems (Contract NAS9-15200) and Services Div. (E80-10208: NASA-CR-160683: LEC-10822-Vol-2-Pt-2: AS-BUILT DESIGN SPECIFICATION FOR THE YIELD JSC-13030-Vol-2-Pt-2) Avail: NTIS HC A17/MF A01 CSCL ESTIMATION SUBSYSTEM (YES) MONTHLY YIELD DATA 05B BASE AND SUPPORTING PROGRAMS D. Cook and C. Siemens. Principal Investigators Feb. 1977 N80-29788*# Lockheed Electronics Co.. Houston. Tex. Systems 124 p ERTS (Contract NAS9-15200) and Services Div. (E80-10218: NASA-CR-160641: LEC-10034: JSC-12537) AS-BUILT SPECIFICATION FOR CCIT7 PROCESSOR Avail: NTIS HC A06/MF A01 CSCL 05B PROGRAM W. P. White. Principal Investigator Nov. 1978 64 p ERTS (Contract NAS9-15200) (E80-10209: NASA-CR-160598: LEC-12518: JSC-14554) N80-29796*# Lockheed Electronics Co., Houston. Tex. Systems Avail: NTIS HC A04/MF A01 CSCL 05B and Services Div. PROGRAM DOCUMENTATION: MARQUIS2.FTN Maury A. Mendlowitz, Principal Investigator Dec. 1977 26 p N80-29789*# Lockheed Electronics Co.. Houston. Tex. Aero- ERTS space Systems Div. (Contract NAS9-15200) FINAL DESIGN SPECIFICATION FOR LARSYS MODIFICA- (E80-10220: NASA-CR-160622: LEC-11092: JSC-13145) TION/FISHER F DISTRIBUTION THRESHOLDING Avail: NTIS HC A03/MF A01 CSCL 05B

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N80-29803*# Lockheed Electronics Co.. Houston. Tex. Systems C. L. Horton. C. W. Ahlers. and P. J. Aucoin. Jr. Aug. 1978 and Services Div. 77 p ERTS DESIGN SPECIFICATION FOR A MERGING PROGRAM FOR (Contract NAS9-15200) FORMATTED IMAGE DATA FILES (E80-10265: NASA-CR-1607 17: LEC-12696: JSC-14457) P. J. Aucoin. Jr., Principal Investigator May 1978 32 p Avail: NTIS HC A05/MF A01 CSCL 058 ERTS (Contract NAS9-15200) N80 29813*# Texas A&M Univ.. College Station. Remote (E80-10234: NASA-CR-1 607 1 4: LEC-12373: JSC-14289) Sensing Center. Avail: NTIS HC A03/MF A01 CSCL 058 DEVELOPMENT AND EVALUATION OF SCATTEROMETER DATA PROCESSING ALGORITHMS Final Report N80-29805*# Lockheed Engineering and Management Services Richard W. Newton. Principal Investigator and Billy V. Clark Auq Co.. Inc.. Houston. Tex. 1979 153 p refs ERTS USER MANUAL FOR THE EARTH OBSERVATIONS (Contract NAS9-14875) DIVISION R AND D TO OLPARS DOT DATA CONVER- (E80-10266: NASA-CR-160577: RSC-3337) Avail NTIS SION HC A08/MF A01 CSCL 058 R. Nugent. Principal Investigator Apr. 1980 30 p refs ERTS (Contract NAS9-15800) N8O-29814*# Purdue Univ.. Lafayette. Ind. Lab. for Applications (E80-10236: NASA-CR-160666: LEMSCO-14848; JSC-16665) of Remote Sensing. Avail: NTIS HC A03/MF AO1 CSCL 098 PIXEL LABELING BY SUPERVISED PROBABILISTIC RELAXATION N80-29807*# Lockheed Electronics (Jo.. Houston. Tex. Systems D. A. Landgrebe. Principal Investigator, J. A. Richards, and P. and Services Div. H. Swain Feb. 1980 18 p refs Sponsored by NASA. USDA. PROJECT DEVELOPMENT PLAN FOR THE LAND SAT Dept. of Commerce. Dept. of Interior, and Agency for International IMAGERY VERIFICATION AND EXTRACTION SYSTEM Development (LIVES) (Contract NAS9-15466: Proj. AgRISTARS) J. J. Carney and J. A. Vitellaro. Principal Investigators Oct. (E80-10267: NASA-CR-160697: SR-PO-00454: 1978 14 p ERTS LARS-022580) Avail: NTIS HC A02/MF A01 CSCL 02C (Contract NAS9-15200) (E80-10238: NASA-CR-160720: LEC-12856: JSC-14579) Avail: NTIS HC A02/MF A01 CSCL 058 N80-29820*# Lockheed Engineering and Management Services Co., Inc.. Houston. Tex. N80-29808*# Lockheed Electronics Co.. Houston. Tex Systems SOME APPROACHES TO OPTIMAL CLUSTER LABELING N and Services Div. OF AEROSPACE IMAGERY TEST PLAN FOR THE LANDSAT IMAGERY VERIFICATION C. B. Chittineni. Principal Investigator May 1980 56 p refs AND EXTRACTION SYSTEM (LIVES) Sponsored by NASA. USDA. Dept. of Commerce, Dept. of Interior, J. J Carney and J. A. Vitellaro, Principal Investigators Oct. and Agency for International Development ERTS 1978 16 p ERTS (Contract NAS9-15800: Proj. AgRISTARS)" (Contract NAS9-15200) (E80-10273: NASA-CR-160690: SR-LO-00440: (E80-10239: NASA-CR-160721: LEC-12857: JSC-14578) LEMSCO-14597: JSC-16355) Avail: NTIS HC A04/MF A01 Avail: NTIS HC A02/MF A01 CSCL 058 CSCL 20C

N80 29809* # Lockheed Electronics Co., Houston, Tex. Systems and Services Div. N80-29825* # National Aeronautics and Space Administration. PRELIMINARY DESIGN SPECIFICATION FOR THE LAND- Goddard Space Flight Center, Greenbelt, Md. SAT IMAGERY VERIFICATION AND EXTRACTION SYSTEM THEMATIC MAPPER STUDIES BAND CORRELATION (LIVES) ANALYSIS J. M. Everette. D. K. McCarley, and K. P. Eckel. Principal Stephen G. Ungar and Richard Kiang Apr. 1976 28 p Investigators Oct. 1978 43 p ERTS (NASA-TM-80716) Avail: NTIS HC A03/MF A01 CSCL (Contract NAS9-15200) 08B (E80-10240: NASA-CR-1 607 1 9: LEC-12838: JSC-14577) Spectral data representative of thematic mapper candidate Avail: NTIS HC A03/MF A01 CSCL 05B bands 1 and 3 to 7 were obtained by selecting appropriate combinations of bands from the JSC 24 channel multispectral N80-29810*j(/ Lockheed Electronics Co.. Houston. Tex. Systems scanner. Of all the bands assigned, only candidate bands and Services Div. 4 (.74 mu to .80 mu) and 5 (.80 mu to .91 mu) showed AS-BUILT DESIGN SPECIFICATION FOR AREAS ADDED consistently high mtercorrelation from region to region and time TO THE MONTHLY BASES OF TEXAS. MINNESOTA AND to time. This extremely high correlation persisted when looking at the composite data set in a multitemporal, multilocation domain. USSR K. Williams, Principal Investigator Mar. 1977 22 p ERTS The GISS investigations lend positive confirmation to the (Contract NAS9-15200) hypothesis, that TM bands 4 and 5 are redundant. R.K.G. (E80-10241: NASA-CR-160707: LEC-10353: JSC-12708) Avail: NTIS HC A02/MF A01 CSCL 038 N80-29828# Electromagnetic Systems Labs., Inc.. Sunnyvale, N80-29811*# Lockheed Electronics Co., Houston. Tex. Aero- Calif. space Systems Div. IMAGE TRANSFORMATION STUDY Semiannual Technical AS-BUILT DESIGN SPECIFICATION FOR THE INDIA Report, 1 Oct. 1979 - 30 Apr. 1980 Robert Devich. F. Weinhaus. L Martin. D. Collier. G. Kiremidjian, MONTHLY DATA BASE K. Williams. Principal Investigator Feb. 1977 20 p ERTS A. Silvestri. D. Mcguirk. 8. Gleaton. and R. LaPado 30 May (Contract NAS9-15200) 1980 75 p refs (E80-10264: NASA-CR-160643: LEC-10253: JSC-12582) (Contract MDA903-80-C-0108: ARPA Order 3854) Avail: NTIS HC A02/MF A01 CSCL 05B (AD-A086070: ESL-PR339: SATR-1) Avail: NTIS HC A04/MF A01 CSCL 14/5 The purpose of the Image Transformation Study is to develop N80-29812*# Lockheed Electronics Co.. Houston. Tex. Systems techniques for converting oblique aerial photography to the ground and Services Div. level viewing perspectives that would be seen by an observer DESIGN SPECIFICATION FOR A LIST PROCESSING as he moves around within the imaged area. This report documents SYSTEM the first six months of the investigation. GRA

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N80-3O821 California Inst. of Tech.. Pasadena. N80-30832*# Lockheed Electronics Co.. Houston. Tex. Systems DEGRADATION OF PICTURE QUALITY BY SPECKLE IN and Services Div. COHERENT MAPPING SYSTEMS Ph.D. Thesis IMPLEMENTATION SPECIFICATION FOR LARGE AREA Vuaya Narayan Korwar 1980 183 p CROP INVENTORY EXPERIMENT (LACIE) PHASE Avail: Univ. Microfilms Order No. 8019904 3 AUTOMATIC STATUS AND TRACKING SYSTEM The problem of specifying the extent of the degradation C. C. deValcourt Mar. 1977 46 p Revised ERTS caused by speckle in pictures meant to be examined by a human (Contract NAS9-15200) observer was investigated. A plausible theoretical model was (E80-10249: NASA-CR-160618: LEC-8675-Rev-A: developed for the decision process used by the observer in the JSC-11401-Rev-A) Avail: NTIS HC A03/MF A01 CSCL detection or discrimination task. This model was used to relate 02C the probability of making a correct decision to the relevant picture parameters such as contrast ratio between the reflectivities of N80-30833*# Lockheed Electronics Co.. Houston. Tex. Systems various parts of the picture, number of looks per pixel picture and Services Div. size, and dimension of the features of lines. Calculations for the AS-BUILT DESIGN SPECIFICATION FOR SCATTER PLOTS reasonable SAR parameters of 1 dB contrast ratio and 12 looks FOR DIRECT WHEAT per pixel show that, in order to achieve a probability of correct 0. A. Wehmanen. Principal Investigator Oct. 1978 66 p decision of 0.95. (1) a small square in a 100 by 100 pixel ERTS background needs to be about 7 pixels on a side: (2) a 100 by (Contract NAS9-15200) 100 pixel grating of line pairs needs to have lines about 2 pixels (E80-10250: NASA-CR 160686: LEC-12822; JSC-14546) wide: and (3) a simple geometrical form (a specific one) needs Avail: NTIS HC A04/MF A01 CSCL 02C to be at least 12 pixels on a side to be distinguished from another (specific) form of the same size, when these two forms are the only possible alternatives. Dissert. Abstr. N80-30834*# Lockheed Electronics Co.. Houston. Tex. Systems and Services Div. CLASSIFICATION WITH SPECTRAL-SPATIAL-TEMPORAL N80-30824*# Lockheed Electronics Co.. Houston. Tex. Systems ARCHETYPES and Services Div. P. J. Aucoin. Jr. and L. E. Giddings. Principal Investigators Aug. AS-BUILT DESIGN SPECIFICATION FOR BOUNDARY 1978 21 p ERTS DETECTION AND REGISTRATION PROGRAM (BDARP1) (Contract NAS9-15200) D. P. McKay and F. Collen. Principal Investigators Apr. 1978 (E80-10251: NASA-CR-160716: LEC-12691: JSC-14456) 124 p ERTS Avail: NTIS HC A02/MF A01 CSCL 05B (Contract NAS9-15200) (E80-10216: NASA-CR-1 60651: LEC-12128: JSC-13966) N80-30835*# Lockheed Electronics Co., Houston. Tex. Systems Avail: NTIS HC A06/MF A01 CSCL 058 and Services Div. AS-BUILT DESIGN SPECIFICATION FOR FIELD STATIS- TICS (FIELDSTAT) N80-30826*# Lockheed Electronics Co.. Houston. Tex. Systems D. K. McCarley. Principal Investigator Sep. 1978 99 p ERTS and Services Div. (Contract NAS9-15200) DETAILED DESIGN SPECIFICATION FOR THE AUTOMATIC (E80-10252: NASA-CR-160685: LEC-12804: JSC-14487) STATUS AND TRACKING SYSTEM MODIFICATIONS FOR Avail: NTIS HC A05/MF A01 CSCL 058 LACIE PROCEDURE 1 J. M. Everette. D. L Smith, and C. C. deValcourt. Principal Investigator May 1977 49 p ERTS N8O-30836*# Lockheed Electronics Co.. Houston. Tex. Systems (Contract NAS9-15200) and Services Div. (E80-10243: NASA-CR-160674: LEC-10529: JSC-12885) AS-BUILT DESIGN SPECIFICATION FOR CLASY PROGRAM Avail: NTIS HC A03/MF A01 CSCL 148 MODIFICATION P. J. Aucoin. Jr. and C. Norton. Principal Investigators Apr. 1978 171 p ERTS N80-30827*# Lockheed Electronics Co.. Houston. Tex. Systems (Contract NAS9-15200) and Services Div. (E80-10253: NASA-CR-1607 11; LEC-12185: JSC-13986) PRELIMINARY USER GUIDE FOR THE PROGRAM GTDDM Avail: NTIS HC A08/MF A01 CSCL 05B (GROUND TRUTH DOT DUMP) C. W. Ahlers. Principal Investigator Jul. 1978 11 p refs N80-30837*/jf Lockheed Electronics Co.. Houston. Tex. Systems ERTS and Services Div. (Contract NAS9-15200) DETAIL DESIGN SPECIFICATION FOR ENHANCEMENT OF (E80-10244; NASA-CR-1607 15: LEC-12636: JSC-14423) THE AUTOMATIC STATUS AND TRACKING SYSTEM Avail: NTIS HC A02/MF A01 CSCL 098 SOFTWARE D. K. McCarley. Principal Investigator. J. M. Everette. and K. P. N80-30828*# Lockheed Electronics Co.. Houston. Tex. Aero- Eckel Nov. 1977 102 p ERTS space Systems Div. (Contract NAS9-15200) DESIGN SPECIFICATION FOR COLOR CODED SPECTRAL (E80-10254: NASA-CR-160634: LEC-11512: JSC-13789) PLOTS Avail: NTIS HC A06/MF A01 CSCL 05B B. E. Wills. Principal Investigator Sep. 1976 28 p ERTS (Contract NAS9-12200) N8O-30838*# Lockheed Electronics Co.. Houston. Tex. Systems (E80-10245; NASA-CR-160706: LEC-9924: JSC-11851) Avail: and Services Div. NTIS HC A03/MF A01 CSCL 088 DESIGN SPECIFICATION FOR MERGE OF BTREAD. PHASE 1 AND PHASE 2 ACCURACY ASSESSMENT PROGRAMS N80-30831*# Lockheed Engineering and Management Services A. Rios. Principal Investigator Oct. 1978 11 p ERTS Co.. Inc.. Houston. Tex. (Contract NAS9-152OO) HIGH DENSITY TAPE REFORMATTING SYSTEM/LANDSAT (E80-10255: NASA-CR-160718: LEC 12833. JSC-14556) IMAGERY VERIFICATION AND EXTRACTION SYSTEM Avail: NTIS HC A02/MF A01 CSCL 098 (HDTRS/UVES) THROUGHPUT ANALYSIS A. J. Bowen. Jr.. Principal Investigator Feb. 1980 29 p N80-30839*# Lockheed Electronics Co.. Houston. Tex. Aero- ERTS space Systems Div. (Contract NAS9-15800) USER'S GUIDE LARGE AREA CROP INVENTORY EXPERI- (E80-10248: NASA-CR-160664: LEMSCO-14548: JSC-16967) MENT (LACIE) PHASE 3 POP 11/45 AUTOMATIC STATUS Avail: NTIS HC A03/MF A01 CSCL 05B AND TRACKING SYSTEM

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C. C. deValcourt. Principal Investigator Mar. 1977 48 p IE80-10275: NASA-CR-160728; FC-LO-00432: ERTS LEMSCO-14594: JSC-16346) Avail: NTIS HC A02/MF A01 (Contract NAS9-15200) CSCL02C (E80-10256: NASA-CR-160722; LEC-10148; JSC-12535) Avail. NTIS HC A03/MF A01 CSCL 14B N80-30849*# Lockheed Electronics Co., Houston, Tex. Systems and Services Div. N80-30840*jf Institute de Pesquisas Espaciais. Sao Jose dos USER S GUIDE FOR THE YIELD ESTIMATION SUBSYSTEM Campos (Brazil). DATA MANAGEMENT SYSTEM (YESDAMS) CLASSIFICATION OF MULTISPECTRAL IMAGES ACCORD- Roy Davenport and Mike Sestak, Principal Investigators Apr. ING TO CROSSWISE TEXTURAL CHARACTERISTICS 1978 51 p ERTS [CLASSIFICACAO OE IMAGENS MULTIESPECTRAIS. (Contract NAS9-15200) TRAVES DE CARACTERISTICAS DE TEXTURA] (E80-10276: NASA-CR-1607 10: LEC-12184: JSC-13985) Nelson deJesusParada. Principal Investigator, Enivaldo doOFilho. Avail: NTIS HC A04/MF A01 CSCL 05A Nelson 0. A. Mascarenhas. and Qaudio R. Sonnemburg May 1980 87 p refs In PORTUGUESE: ENGLISH summary Sponsored N80-30852*# Lockheed Electronics Co.. Houston. Tex. Systems by NASA Original contains imagery. Original photography may and Services Div. be purchased from the EROS Data Center, Sioux Falls, S.D. OPERATOR'S GUIDE FOR LACIE PHASE 3 AUTOMATIC 57198 ERTS STATUS AND TRACKING SYSTEM (E80-10257: NASA-CR-163369; INPE-1734-RPE/134) Avail: D. L. Smith, Principal Investigator Mar. 1977 8 p ERTS NTIS HC A05/MF A01 CSCL 05B (Contract NAS9-152001 (E80-10284; NASA-CR-160670; JSC-12729) Avail: NTIS N80-30842*# Institute de Pesquisas Espaciais. Sao Jose dos HC A02/MF A01 CSCL 02C Campos (Brazil). N80-30853*# Lockheed Electronics Co., Houston. Tex. Systems STUDY OF THE ATMOSPHERIC EFFECTS ON THE and Services Div. RADIATION DETECTED BY THE SENSOR ABOARD IMPLEMENTATION SPECIFICATION DOCUMENT FOR ORBITING PLATFORMS (ERTS/LAND SAT) M.S. Thesis - MERGE OF BTREAD. PHASE 1. AND PHASE 2 ACCURACY October 1978 [ESTUDO DOS EFEITOS ATMOSFERICOS ASSESSMENT PROGRAMS SOBRE AS RADIACOES PELOS SENSORES A BORDO DE F. Tragni. Principal Investigator May 1978 14 p ERTS PLATFORMAS ORBIT AIS (ERTS/LANDSAT)] (Contract NAS9-15200) Nelson deJesusParada. Principal Investigator and Tsutomu (E80-10285: NASA-CR-160713. LEC-12348. JSC-14277) Morimoto Mar. 1980 110 p refs In PORTUGUESE; ENGLISH Avail: NTIS HC A02/MF A01 CSCL 09B summary Sponsored by NASA Original contains color imagery. Original photography may be purchased from the EROS Data N80-30854*# Lockheed Electronics Co.. Houston. Tex. Aero- Center. Sioux Falls, S.D. 57918 ERTS space Systems Div. (E80-10259: NASA-CR-163366: INPE-1689-TDL/021) Avail: NTIS HC A06/MF A01 CSCL 02C DESIGN SPECIFICATION FOR ERIPS FIELDS DATA BASE The author has identified the following significant results DECK CONVERSION Multispectral scanner data for Brasilia were corrected for C. T. Gardner, Principal Investigator. Jun. 1977 18 p ERTS atmospheric interference using the LOWTRAN-3 computer (Contract NAS9-12200) program and the analytical solution of the radiative transfer (E80-10286: NASA-CR-160667; LEC-10775: JSC-12950) equation. This improved the contrast between two natural targets Avail: NTIS HC A02/MF A01 CSCL 09B and the corrected images of two different dates were more similar than the original ones. Corrected images of MSS data N80 30855*# Lockheed Electronics Co., Houston, Tex. Systems for Ribeirao Preto gave a classification accuracy for sugar "cane and Services Div. about 10% higher as compared to the original images. DRAFT USER PROCEDURES: SOFTWARE WHEAT YIELD PREDICTIONS/FOREIGN EQUIVALENT TEST J. Stewart, Principal Investigator Nov. 1978 32 p ERTS N80 30845*# Lockheed Electronics Co...Houston. Tex. Systems (Contract NAS9-15200) and Services Div. (E80-10287. NASA-CR-160687, LEC-12975, JSC-146071 AS-BUILT DESIGN SPECIFICATION FOR THE PATTERSON Avail: NTIS HC A03/MF A01 CSCL 02C PITT THADANI MINIMUM LOSS CLASSIFIER C. W. Ahlers. Principal Investigator May 1978 56 p ERTS N80-30856*# Lockheed Engineering and Management Services (Contract NAS9-15200) Co., Inc.. Houston, Tex. (E80-10262: NASA-CR-160712: LEC-12285: JSC-14246) ESTIMATION OF PROBABILITIES OF LABEL IMPERFEC- Avail: NTIS HC A04/MF A01 CSCL 05B TIONS AND CORRECTION OF MISLABELS C. B. Chittineni. Principal Investigator Mar. 1980 44 p refs N8O-30846*# Lockheed Electronics Co.. Houston. Tex. Systems Sponsored by NASA, USDA. Dept. of Commerce. Dept of Interior and Services Div. and Agency for International Development ERTS AS-BUILT DESIGN SPECIFICATION FOR PHASE 3 MODEL (Contract NAS9-15800; Proj. AgRISTARS) AREAS ADDED TO THE MONTHLY DATA BASE OF THE (E80-10288: NASA-CR-160704: SR-LO-00427: US LEMSCO-14356) Avail: NTIS HC A03/MF A01 CSCL 02C K. Williams. Principal Investigator Mar. 1977 28 p ERTS (Contract NAS9-15200) N80-30857*# Lockheed Electronics Co.. Houston. Tex. Systems (E80-10263: NASA-CR-160669: LEC-10354: JSC-12709) and Services Div. Avail: NTIS HC A03/MF A01 CSCL 05B AS-BUILT DESIGN SPECIFICATION FOR THE CMAS IMAGE 100 HYBRID SYSTEM. VOLUME 2: DETAILED N8O-30848*# Lockheed Engineering and Management Services FLOW CHARTS AND PROGRAM LISTINGS. PART 1 Co.. Inc.. Houston. Tex. L. E. Giddings. Principal Investigator Aug. 1977 395 p ERTS STATISTICAL OUTLIER DETECTION (SOD): A COMPUTER (Contract NAS9-15200) PROGRAM FOR DETECTING OUTLIERS IN DATA (E80-10289. NASA-CR-160709: LEC-10822-Vol-2-Pt-1: R. S. Chhikara. C. L. Horton. M. A. Mendlowitz. and A. H. Feiveson, JSC-13030-Vol-2-Pt-1) Avail: NTIS HC A17/MF A01 CSCL Principal Investigators (NASA. Johnson Space Center) Jun. 09 B 1980 25 p refs Sponsored by NASA. USDA. Dept. of Commerce. N80-30858*# Lockheed Electronics Co.. Houston, Tex. Systems Dept. of Interior, and Agency for International Development and Services Oiv. ERTS AS-BUILT DESIGN SPECIFICATION FOR THE CAMS (Contract NAS9-15800: Proj. AgRISTARS) IMAGE-100 HYBRID SYSTEM. VOLUME 3: UTILITIES

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AND SHARED SUBROUTINES N80-30873*# Lockheed Electronics Co., Houston. Tex. Systems L E. Giddings. Principal Investigator Aug. 1977 200 p ref and Services Div. ERTS AS-BUILT SPECIFICATION FOR CLASSY CONVERSION (Contract NAS9-15200) P. J. Aucoin. Jr. and C. Horton. Principal Investigators Sep. (E80-10290: NASA-CR-160684: LEC-10822-Vol-3: 1978 261 p ERTS JSC-13030-Vol-3) Avail: NTIS HC A09/MF A01 CSCL 05B (Contract NAS9-15200) (E80-10307: NASA-CR-160751: LEC-12743: JSC-14475) N80-30861*# Lockheed Engineering and Management Services Avail: NTIS HC A12/MF A01 CSCL 098 Co.. Inc.. Houston. Tex. A LABELING TECHNOLOGY FOR LAN OS AT IMAGERY N80-30874*# Environmental Research Inst. of Michigan. Ann T. B. Dennis and M. D. Pore. Principal Investigators May 1980 Arbor. 37 p refs Sponsored by NASA. USDA. Dept. of Commerce. Dept. of Interior and Agency for International Development ANALYSIS OF SCANNER DATA FOR CROP INVENTORIES ERTS Progress Report. 15 Nov. 1979 - 15 Feb. 1980 (Contract NAS9-15800: Proj. AgRISTARS) May 1980 97 p Sponsored by NASA. USDA. Dept. of (E80-10293; NASA-CR-160689: AR-LO-00425: Commerce. Dept. of Interior and Agency for International Development ERTS LEMSCO-14357: JSC-16341) Avail: NTIS HC A03/MF A01 CSCL 02C (Contract NAS9-15476: Proj. AgRISTARS) (E80-10308: NASA-CR-160698: ERIM-132400-39-P) Avail: NTIS HC A05/MF A01 CSCL 05B N80-30862*# Lockheed Engineering and Management Services Co.. Inc.. Houston. Tex. MAXIMAL ANALYSIS LABELING PROCEDURE (PRE- N80-30875*# Zentralstelle fuer Geo-Photogrammetrie und LIMINARY) Fernerkundung. Munich (West Germany). J. M. Disler. Principal Investigator Feb. 1980 37 p refs APPLICATION EXPLORER MISSION A HEAT CAPACITY Sponsored by NASA. USDA. Dept. of Commerce. Dept. of Interior MAPPING MISSION Progress Report and Agency for International Development ERTS (1980] 19 p Original contains imagery. Original imagery may (Contract NAS9-15800; Proj. AgRISTARS) be purchased from NASA Goddard Space Flight Center, (code (E80-10294; NASA-CR-160665: FC-LO-00700: JSC-16399) 601). Greenbelt. Md. 20771. Domestic users send orders to Avail: NTIS HC A03/MF A01 CSCL 02C Ann: National Space Science Data Center': non-domestic users send orders to 'Ann: World Data Center A for Rockets and N8O-30870*# Lockheed Engineering and Management Services Satellites'. HCMM Co.. Inc.. Houston, Tex. (E80-10309. NASA-CR-163378) Avail. NTIS EVALUATING THE USE OF ANALYST LABELS IN MAX- HC A02/MF A01 CSCL 088 IMUM LIKELIHOOD CLUSTER PROPORTION ESTIMA- The author has identified the following significant results. TION Fine orogenic sediments, not detectable on the images recorded R. K. Lennington and G. R. Terrell. Principal Investigators Apr. within the visible wavelength region, can be clearly recognized 1980 14 p refs Sponsored by NASA. USDA. Dept. of Commerce. on all night IR-images. The area of glaciation in the northern Dept. of Interior and Agency for International Development foreland of the Alps can be partially identified on the basis of ERTS night-l R data. The terminal moraine of various glacierization phases (Contract NAS9-15800: Proj. AgRISTARS) can be mapped and the relative dry and unsorted moraine (E80-10303: NASA-CR-160754: SR-LO-00456: material consisting of crystalline components can be located LEMSCO-14672: JSC-16538) Avail: NTIS HC A02/MF A01 through the vegetation cover. The eastern part of the glaciation CSCL 05B area can be traced because of reverse temperature effect. In addition to the upper Bavarian lakes, the night-IR images clearly N80-30871*/jl Lockheed Engineering and Management Services indicate the distribution of high soil moisture areas such as swamps Co., Inc.. Houston. Tex. and bogs. The geological border of the upper fresh water EVALUATION OF BAYESIAN SEQUENTIAL PROPORTION molasse in the northern part of the basin north of Munich is ESTIMATION USING ANALYST LABELS identifiable on night IR-imagery. Drift peat areas can be located R. K. Lennington and K. M. Abotteen. Principal Investigators on day-IR images of the dry season of the year. May 1980 17 p refs Sponsored by NASA. USDA. Dept. of Commerce, Dept. of Interior and Agency for International Development ERTS N80-31012# World Meteorological Organization. Geneva (Contract NAS9-15800: Proj. AgRISTARS) (Switzerland). (E80-10304: NASA-CR-160753: SR-LO-00453: THE 7TH WMO EXECUTIVE COMMUTE INTER- LEMSCO-14355: JSC-16361) Avail: NTIS HC A02/MF A01 GOVERNMENT PANEL SESSION ON THE FIRST GARP CSCL 05B GLOBAL EXPERIMENT Global Atmospheric Research The author has identified the following significant results. A Programme total of ten Large Area Crop Inventory Experiment Phase 3 blind 1979 134 p refs Conf. held at Geneva. Nov. 1979 Prepared sites and analyst-interpreter labels were used in a study to compare in cooperation with International Council of Scientific Unions, proportional estimates obtained by the Bayes sequential procedure Rome (Italy) with estimates obtained from simple random sampling and from (GARP-Spec-35) Avail: NTIS HC A07/MF A01 Procedure 1. The analyst error rate using the Bayes technique The performance of the First Garp Global Experiment was shown to be no greater than that for the simple random (FGGE) Composite Observing System, the status of FGGE data sampling. Also, the segment proportion estimates produced management, and implementation of the regional experiments using this technique had smaller bias and mean squared errors were reviewed. An assessment of data sets collected during the than the estimates produced using either simple random sampling Global Weather Experiment by surface stations ships and buoys, or Procedure 1. balloons, satellites, and aircraft is presented. Author (ESA)

N80-30872*# Lockheed Electronics Co., Houston. Tex. Systems and Services Div. N80-31072*# National Aeronautics and Space Administration. AS-BUILT DESIGN SPECIFICATION OF THE CAMS/CAS Goddard Space Flight Center. Greenbelt. Md. INTERFACE TAPE REPORT GENERATION PROGRAM FOR A HILL-SLIDING STRATEGY FOR INITIALIZATION OF LACIE 8 GAUSSIAN CLUSTERS IN THE MULTIDIMENSIONAL K. P. Eckel. Principal Investigator May 1978 131 p ERTS SPACE (Contract NAS9-15200) John K. Park. Yung H. Chen. Daryl B. Simons, and Lee 0. (E80-10306: NASA-CR-160750: LEC-12267; JSC-14238) Miller Jul. 1980 29 p refs Presented at the Joint Soil and Avail: NTIS HC A07/MF A01 CSCL 098 Machine Process, of Remotely Sensed Data Symp.. West

219 07 DATA PROCESSING AND DISTRIBUTION SYSTEMS

Lafayette. Ind.. 3-6 Jun. 1980 A technique for automatically measuring pass points from (NASA-TM-80721: Rept-80F4508) Avail: NTIS digital stereo images is evaluated. Numerical estimates of HC A03/MF A01 CSCL 098 x-parallax and y-parallax for a specific stereo pair of images is A hill sliding technique was devised to extract Gaussian presented as a function of terrain relief. GRA clusters from the multivariate probability density estimate of sample data for the first step of iterative unsupervised classifica- N80-31864# Royal Aircraft Establishment. Farnborough tion. Each cluster was assumed to posses a unimodal normal (England). distribution. A clustering function proposed distinguished elements A STUDY OF LANDSAT MULTISPECTRAL SCANNER DATA of a cluster under formation from the rest in the feature space. TAPES Initial clusters were extracted one by one according to the hill A. H. Benny London HMSO Feb. 1980 37 p refs sliding tactics. A dimensionless cluster compactness parameter (RAE-TR-80018: RAE-Space-574: BR73767) Avail: NTIS was proposed as a universal measure of cluster goodness and HC A03/MF A01 used satisfactorily in test runs with LANDSAT multispectral A detailed study is described of a number of computer scanner data. The normalized divergence, defined by the cluster compatible magnetic tapes containing LANDSAT multi-spectral divergence divided by the entropy of the entire sample data, scanner (MSS) data. The differences between raw and corrected was utilized as a general separability measure between clusters. data tapes are shown along with the conversion process. It also An overall clustering objective function was set forth in terms shows the differences between the existing and a new form of of cluster covariance matrices, from which the cluster compactness corrected data tape. A computer program was written to enable measure could be deduced. Minimal improvement of initial data raw data desirable for certain computer analyses to be obtained partitioning was evaluated by this objective function in eliminating from the existing stocks of corrected data tapes. Author IESA) scattered sparse data points. The hill sliding clustering technique developed herein has the potential applicability to decomposition N80 31865$ Deutsche Forschungs- und Versuchsanstalt fuer any multivariate mixture distribution into a number of unimodal Luft- und Raumfahrt. Oberpfaffenhofen (West Germany). distributions when an appropriate distribution function to the Abteilung Digitate Bildverarbeitung. data set is employed. R.K.G. COMPARATIVE EXPERIMENTAL STUDY ON THE USE OF ORIGINAL AND COMPRESSED MULTISPECTRAL LAND- N80-31429# National Environmental Satellite Service, Washing- SAT DATA FOR APPLIED RESEARCH ton, D. C. Klaus A. Ulbncht Feb. 1980 81 p refs Original contains SATELLITE ACTIVITIES OF NOAA. 1979 color illustrations Jul. 1980 25 p (Contract ESTEC-3569/78-NL-HPISO) Avail: NTIS HC A02/MF A01 (DFVLR-FB-80-03: ESA-CRIP1-1343) Avail: NTIS Programs using satellite data from the National Oceanic and HC A05/MF A01 Atmospheric Administration's polar orbiting and geostationary Parts of two multispectral LANDSAT scenes, compressed systems are described. These include: determining winds and by ratio 6.4 to 1. were investigated to determine the effect of temperature: monitoring global radiation: environmental warning the compression on the image contents. The LANDSAT image systems: monitoring agriculture conditions: determining Earth's of the Bayuda desert in Sudan was submitted to supervised shape and gravity field: fisheries monitoring: and determining maximum likelihood classification before and after compression oceans, lakes, and hydrological conditions. L.F.M. of data as a function of the rejection class parameter sigma. Different approaches as to the use of circular or rectangular N80-31856*# National Aeronautics and Space Administration. training areas for classification on original and compressed Washington. D. C. scene served to investigate the influence of compression on image A DESCRIPTION OF A SYSTEM OF PROGRAMS FOR contents. Partitioning of classified image is given on a percentage MATHEMATICALLY PROCESSING ON UNIFIED SERIES basis as a function of sigma. Three dimensional clusters of (YeS) COMPUTERS PHOTOGRAPHIC IMAGES OF THE spectral channels and histograms show the influence of compres- EARTH TAKEN FROM SPACECRAFT sion. The heavy population of blue green algae on LANDSAT V. G. Zolotukhin. B. I. Kolosov. D. A. Usikov. V. I. Borisenko. S. scene of the baltic of August 7. 1975. was another example T. Mosin, and V. N. Gorokhov Jun. 1980 29 p refs Transl. used to test the influence of data compression. Three dimensional into ENGLISH of "Opisaniye systemy Programm Mathematiches- clusters of grey values of spectral channels of the investigated koy Obrabutki n» EVM Yedinoy Serii (ES) Fotograficheskikh area and histograms show influence of compression. The effects Apparatov (Kompleks SOFI)", Rept. Pr-336 Acad. of Sci. USSR. of compression on partitioning of classified scences. are displayed Inst. of Space Research, Moscow. 1977 p 1-30 Transl. by in several tables and figures. Author (ESA) Scientific Translation Service. Santa Barbara. Calif. Original doc. prep, by Academy of Sciences (USSR). Moscow (Contract NASw-3198) N80-31975# Automation Industries. Inc.. Silver Spring. Md. (NASA-TM-76208: Pr-336) Avail: NTIS HC A03/MF A01 Vitro Labs. Div. CSCL 14E ENVIRONMENTAL DATA FOR SITES IN THE NATIONAL A description of a batch of programs for the YeS-1040 SOLAR DATA NETWORK Progress Report. Feb. 1980 computer combined into an automated system for processing Feb. 1980 221 p photo (and video) images of the Earth's surface, taken from (Contract DE-AC01-79CS-30027) spacecraft, is presented. Individual programs with the detailed (SOLAR/0010-80/02) Avail: NTIS HC A10/MF A01 discussion of the algorithmic and programmatic facilities needed The network consits of (1) sensors which measure key by the user are presented. The basic principles for assembling performance parameters at a selected site: (2) a Site Data the system, and the control programs are included. The exchange Acquisition System (SDAS): (3) telephone transmission circuits: format within whose framework the cataloging of any programs and (4) a Central Data Processing. System (COPS). Sensor data recommended for the system of processing will be activated in are collected and stored on a cassette tape in the SDAS. The the future is displayed. T.M. CDPS collects and processes the information and performs the required computations. For the majority of parameters, raw data is collected approximately every five minutes. Solar insolation N8O-31859# Army Engineer Topographic Labs.. Fort Belvoir. and certain other parameters, which are subject to rapid Va. variance, are sampled every 32 seconds. The CDPS interrogates ERRORS IN AUTOMATIC PASS POINT MENSURATION each SDAS on a daily basis and retrieves all accumulated data. USING DIGITAL TECHNIQUES At the conclusion of data retrieval, the SDAS Cassette is reset Michael A. Crombie Jun. 1980 22 p refs by command from the CDPS for continuing data collection. (DA Proj. 4A7-62707-A-855) Environmental information collected at the sites for the reporting (AD-A087443: ETL-0232) Avail: NTIS HC A02/MF A01 CSCL month are presented. Only those sites for which the data are 08/2 found to be valid are reported. DOE

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N80-32808*# Purdue Univ.. Lafayette. Ind. Lab. for Applications N80-32832# Institute de Pesquisas Espaciais. Sao Jose dos of Remote Sensing. Campos (Brazil). A MULTIPROCESSOR IMPLEMENTATION OF A CONTEX- COLLECTION. PROCESSING. AND DISTRIBUTION OF TUAL IMAGE PROCESSING ALGORITHM REMOTE SENSING DATA FROM BRAZILIAN RECEIVING B. W. Smith. H. J. Siegel. and P. H. Swain, Principal Investigators STATION Jul. 1980 234 p refs Sponsored by NASA. USDA. Dept. of Nelson deJesusParada Jun. 1980 18 p Commerce. Dept. of Interior, and Agency for International (INPE-1784-RPE/156) Avail: NTIS HC A02/MF A01 Development ERTS Basic information about the Brazilian LANDSAT tracking, (Contract NAS9-15466; Proj. AgRISTARS) receiving, processing and distribution system operated by INPE (E80-10313: NASA-CR-163402: LARS-070180: the Cachoeira Paulista Electronic and Photographic Processing SR-PO-00474) Avail: NTIS HCA11/MFA01 CSCL 05B Laboratory and Distribution Center. The increase of the users community - with more than 1.200 participant organizations - and the increase of the volume of images produced - near N80-32810*# Lockheed Electronics Co.. Houston. Tex. Systems 20.000 in 1979 - are effective demonstration of the importance and Services Div. of remote sensing in Brazil. Types and prices of products available, SEASAT-A LAND APPLICATIONS DATA PROCESSING product request and related items are discussed. Also, the already PLAN planned future achievements of the Brazilian Remote Sensing S. B. Chism. Jr.. Principal Investigator Jan. 1977 50 p refs Satellite Program are briefly described. R.K.G. ERTS (Contract NAS9-15200) (E80-10317: NASA-CR-160640; JSC-12574: LEC-9978) Avail: N80 32838*# National Aeronautics and Space Administration. NTIS HC A03/MF A01 CSCL 058 Goddard Space Flight Center. Greenbelt. Md. ON EXTRACTING BRIGHTNESS TEMPERATURE MAPS N80-32811*# Lockheed Engineering and Management Services FROM SCANNING RADIOMETER DATA Co.. Inc.. Houston, Tex. P. Argentiero and Raul Garza-Robles Aug. 1980 27 p refs HIGH DENSITY TAPE REFORMATTING SYSTEM/LANDSAT Submitted for publication IMAGERY VERIFICATION AND EXTRACTION SYSTEM (NASA-TM-81989) Avail: NTIS HC A03/MF A01 CSCL (HDTRS/LIVES) PRODUCTION TEST THROUGHPUT 08B ANALYSIS The extraction of brightness temperature maps from scanning A J. Bowen. Jr., Principal Investigator Jun 1980 39 p refs radiometer data is described as a typical linear inverse problem. ERTS Spatial quantization and parameter estimation is described and (Contract NAS9-15800) is suggested as an advantageous approach to a solution. Since (E80-10319: NASA-CR-160735: JSC-16718; LEMSCO-150391 this approach takes into explicit account the multivariate nature Avail: NTIS HC A03/MF A01 CSCL 05B of the problem, it permits an accurate determination of the most detailed resolution extractable from the data as well as explicitly defining the possible compromises between accuracy and N80-32812*# Lockheed Engineering and Management Services resolution. To illustrate the usefulness of the method described Co.. Inc., Houston, Tex. for algorithm design and accuracy prediction, it was applied to AS-BUILT DESIGN SPECIFICATION FOR EOUIPROBABIL- the problem of providing brightness temperature maps during ITY ELLIPSES REPRESENTATION OF CLASSY CLUSTERS the NOSS flight segment. The most detained possible resolution C. L. Horton and R. K. Lennington. Principal Investigators Mar. was determined and a curve which displays the possible 1980 52 p ref ERTS compromises between accuracy and resolution was provided. (Contract NAS9-15800) Author (E80-10320; NASA-CR-160740: JSC-16703; LEMSCO-1 501 9) Avail: NTIS HC A04/MF A01 CSCL 05B N80-33647# Instituto de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). PLATFORM ANTENNAS FOR DATA COLLECTION [ANTENA N80-32813*# Lockheed Engineering and Management Services PARA PLATFORMA DE COLETA DE DEOS] Co.. Inc., Houston, Tex. Benjamin daSilva M. C. Galvao and Carlos E. Santana Jul. OPERATION PLAN FOR THE HIGH DENSITY TAPE/ 1980 33 p refs in PORTUGUESE; ENGLISH summary LAND SAT IMAGERY VERIFICATION AND EXTRACTION Presented at 32d Reunion of the Brazilian Soc. for the Prog, of SYSTEM (HOT/LIVES) DATA PROCESSING SUPPORT Sci. Rio de Janeiro. 6-12 Jul. 1980 A. J. Bowen. Jr.. Principal Investigator Jun 1980 28 p refs (INPE-1820-RPE/186) Avail: NTIS HC A03/MF A01 (Contract NAS9-15800) The theoretical development and the design of a quadrifilar (£80=10322: NASA-CR-160736) Avail: NTIS HC A03/MF A01 helix antenna to be used in platforms for the collection arid CSCL05B transmission of environmental data are presented. The chief characteristic of the antenna is its shaped radiation diagram, N80-32814*# Lockheed Electronics Co.. Houston, Tex. Systems with a reduced gain in the vertical (axial) pointing direction, in and Services Div. order to compensate for the variation in attenuation due to slant AS-BUILT DESIGN SPECIFICATION FOR CCIT8 PROCES- range to a low orbit satellite. Author SOR PROGRAM R. F. Hansen. Principal Investigator Feb. 1979 65 p ERTS N80-33830*# Purdue Univ.. Lafayette. Ind. Lab. for Applications (Contract NAS9-15800) of Remote Sensing. IE80-10323: NASA-CR-160738: LEC-13077: JSC-14704) A MULTISPECTRAL DATA SIMULATION TECHNIQUE Avail: NTIS HC A04/MF A01 CSCL 05B Marwan J. Muasher and Philip H. Swain. Principal Investigators Jul. 1980 27 p Sponsored by NASA, USDA. Dept. of Commerce. Dept. of Interior and Agency for International Development N80-32816*# Lockheed Electronics Co.. Houston. Tex. Systems ERTS and Services Div. (Contract NAS9-15466: Proj. AgRISTARS) AS-BUILT DESIGN SPECIFICATION FOR A LIST PROCESS- (E80-10311: NASA-CR-163379: SR-PO-00469: ING SYSTEM LARS-TR-070980) Avail: NTIS HC A03/MF A01 CSCL 05B C. W. Ahlers. P. J. Aucoin. Jr.. and C. L. Horton. Principal Investigators Jan. 1979 281 p refs ERTS N80-33831*# South Dakota State Univ.. Brookings. Remote (Contract NAS9-15800) Sensing Inst. IE80-10325: NASA-CR-160739: JSC-14663: LEC-13076) IMPACT OF CELL SIZE ON INVENTORY AND MAPPING Avail: NTIS HC A13/MF A01 CSCL 05B ERRORS IN A CELLULAR GEOGRAPHIC INFORMATION

221 07 DATA PROCESSING AND DISTRIBUTION SYSTEMS

SYSTEM The mission to support the Department of Defense (DoD) Michael E. Wehde, Principal Investigator Apr. 1979 96 p refs with terrain information has recently become the responsibility ERTS of the Defense Mapping Agency (DMA). The techniques employed (Grant NGL-42-003-007) to produce data bases of terrain conditions and the synthesizing (E80-10315: N ASA-CR-163403: SDSU-RSI-79-03) Avail: of this data base information into terrain analysis products are NTIS HC A05/MF A01 CSCL 08B critical in supporting mission requirements. Thematic mapping The author has identified the following significant results. procedures provide the mechanism by which remote sensors, The effect of grid position was found insignificant for maps but interpretation techniques, thematic subjects, data analysis highly significant for isolated mapping units A modelable techniques, and products can be examined in terms of production relationship between mapping error and cell size was observed feasibility and capabilities. GRA for the map segment analyzed Map data structure was also analyzed with an interboundary distance distribution approach. N80 33848$ IBM Federal Systems Center. Gaithersburg. Md. Map data structure and the impact of cell size on that structure INTERACTIVE DIGITAL IMAGE PROCESSING INVESTIGA were observed. The existence of a model allowing prediction of TION. PHASE 2 mapping error based on map structure was hypothesized and W. C. Rice and J. S. Shipman Apr 1980 194 p two generations of models were tested under simplifying (Contract DAAK70-77-C-0166) assumptions. (AD-A087518: ETL-0221) Avail: NTIS HC A09/MF A01 CSCL 20/6 N80 33832*# Lockheed Engineering and Management Services The development of the interactive multi-channel image Co., Inc., Houston. Tex. classification capabilities of the DIAL system is addressed UTILIZATION OF SPECTRAL SPATIAL INFORMATION IN Additional DIAL algorithms to support classification were THE CLASSIFICATION OF IMAGERY DATA developed, coded, and tested. These included a program module C. B. Chittinenr. Principal Investigator Jun. 1980 69 p refs (PM) to apply the Karhunen-Loeve transformation to a multi- Sponsored by NASA. USDA, Dept. of Commerce. Dept. of Interior channel image, which has the effect of reducing the dimensionality and Agency for International Development ERTS of an image without significantly descreasing its information (Contract NAS9-15800: Proj. AgRISTARS) content. In addition two algorithms in refining class assignment (E80-10321: NASA-CR-160737; SR-LO-00419: by relaxation methods were developed One was selected, then LEMSCO-14310: JSC-16335) Avail: NTIS HC A04/MF A01 coded on DIAL and was applied to a classification of a site, CSCL 02C where it removed speckle, sharpened field boundaries, and increased the overall classification accuracy. The programming of the computationally intensive part of the maximum likelihood N80 33837# National Physical Research Lab.. Pretoria (South method on the STRAN computer is described. Finally an experiment in the maximum likelihood classification of a LANDSAT Africa). Optical Sciences Division. scene using the DIAL PMs was performed This experiment BONNE'S PROJECTION OF METEOSAT IMAGES demonstrated the the utility of the interactive classification A. S VanZyl Oct. 1979 20 p refs (CSIR-SR-FIS-201: ISBN-0-7988-1656-2) Avail: NTIS algorithms in the study of the relationship between flora and HC A02/MF A01 geological structures. M.G. Bonne projection achieves area preservation at the expense of shape in representing the curved surface of a sphere on a flat plane. Equal area map projection subroutines were developed, integrated into the CSIR-VICAR image processing system, and applied to Meteosat images for geometric transformation of specified areas. The subroutines are functionally described and factors detracting from the accuracy of the projection are examined. A.R.H.

N80-3384O# Institute de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). Division de Information. A METHOD FOR EDGE DETECTION IN IMAGES OF NATURAL RESOURCES [PROCESSAMENTO DE IMAGENS DETECCAO DE BORDASSEGMENTACAO DE IMAGENS] Nelson D. A Mascarenhas and Luciano V. Dutra Dutra Jun. 1980 20 p refs In PORTUGUESE Presented at 20th Symp. of Appl. Graphics and Interactive Graphic Systems. 20-22 Aug. 1980. Sao Paulo. Brazil Revised (INPE-1768-RPE/154) Avail: NTIS HC A02/MF A01 Images derived from remote and meteorological sensing present a problem in distinguishing the borders (edges) among regions of differing textures. Where texture is defined as localized density, a two stage algorithm is employed: (Da binary image is statistically derived: (2) regions of high and low density are reduced to uniformity by topological methods. The LANDSAT images thus processed show improved continuity and compare favorably with the natural borders. Transl. by S.F.

N80-33847# Defense Mapping Agency Hydrographic and Topographic Center. Washington. D.C APPLICATION OF THEMATIC MAPPING TECHNIQUES IN TERRAIN ANALYSIS Theodore W Howard Jan. 1980 9 p refs Presented at the ACSM/ASP Conf. (AD-A089061) Avail: NTIS HC A02/MF A01 CSCL 08/2

222 The Magsat satellite was launched on Oct. 30, 1979 into a 08 sun-synchronous dawn-dusk orbit, of 97 deg inclination, 350 km perigee, and 550 km apogee. It contains a precision vector INSTRUMENTATION AND SENSORS magnetometer and a cesium-vapor scalar magnetometer at the end of a 6-m long graphite epoxy scissors boom. The magnetometers are Includes data acquisition and camera systems and remote accurate to 2 nanotesla. A pair of star cameras are used to define the sensors. body orientation to 10 arc sec rms. An 'attitude transfer system' measures the orientation of the magnetometer sensors relative to the star cameras to approximately 5 arc sec rms. The satellite position is determined to 70 meters rms by Doppler tracking. The overall objective is to determine each component of the earth's vector magnetic field to an accuracy of 6 nanotesla rms. The Magsat satellite A80-45766 ft A telemechanical system for hydrophysical gathers a complete picture of the earth's magnetic field every 12 studies in the ocean (Sistema telemekhaniki dlia gidrofizicheskikh hours. The vector components are sampled 16 times per second with issledovanii v okeane). V. M. Zhukov, L. G. Palevich, and V. N. a resolution of 0.5 nanotesla. The data will be used by the U.S. Tutevich (Akademiia Nauk SSSR, Institut Okeanologii, Moscow, Geological Survey to prepare 1980 world magnetic field charts and USSR). Okeanologiia, vol. 20, May-June 1980, p. 545-547. In to detect large-scale magnetic anomalies in the earth's crust for use in Russian. planning resource exploration strategy. (Author) The paper describes a pulse-code telemechanical system for the acquisition of ocean data. The system is capable of transmitting data concerning 32 different ocean parameters from the sensors to the control point aboard a ship. A block diagram of the system is A80-51579* Microwave radiometric determination of presented. B.J. oceanographic and meteorological parameters. T. T. Wilheit (NASA, Goddard Space Flight Center, Greenbelt, Md.). In: Space research. Volume 20 - Proceedings of the Open Meetings of the Working A80-47480 * Spaceborne imaging radar - Geologic and Groups on Physical Sciences, Bangalore, India, May 29-June 9, 1979. oceanographic applications. C. Elachi (California Institute of Tech- Oxford and Elmsford, N.Y., Pergamon Press, nology, Jet Propulsion Laboratory, Earth and Space Sciences Div., 1980, p. 15-20. 9 refs. Pasadena, Calif.). Science, vol. 209, Sept. 5, 1980, p. 1073-1082. 35 The thermal microwave brightness from the atmosphere over an refs. Contract No. NAS7-100. ocean in the range 5-40 GHz is influenced primarily by the Synoptic, large-area radar images of the earth's land and ocean distribution of vapor and liquid water in the atmosphere and the surface, obtained from the Seasat orbiting spacecraft, show the temperature and wind speed at the sea surface. The Scanning potential for geologic mapping and for monitoring of ocean surface Multichannel Microwave Radiometer (SMMR), which was carried patterns. Structural and topographic features such as lineaments, aboard both the Nimbus-7 and Seasat satellites (both launched in anticlines, folds and domes, drainage patterns, stratification, and 1978), measures this radiation at five frequencies to find these four roughness units can be mapped. Ocean surface waves, internal waves, parameters. A retrieval algorithm has been developed which, on current boundaries, and large-scale eddies have been observed in simulated data, yields accuracies of 1.5 C in sea surface temperature, numerous images taken by the Seasat imaging radar. This article gives 0.9 m/s in wind speed, 4 mg/ sq cm of cloud liquid water content an illustrated overview of these applications. (Author) and 0.14gm/sq cm of precipitable water vapor. Results from the Seasat SMMR, while both preliminary and sparse, are consistent with these simulations. (Author) A80-48911 Large field-of-view interferometers for environmental sensing. D. J. Baker (Utah State University of Agriculture and Applied Science, Logan, Utah). Optical Engineering, vol. 19, A80-52046 Airborne thermal viewer having a circular July-Aug. 1980, p. 515-517. 7 refs. scanner viewing axis. A. A. Babaev. (Optiko-Mekhanicheskaia Pro- The paper deals with the optical compensation of an myshlennost', vol. 47, Jan. 1980, p. 15-17.) Soviet Journal of Optical interferometer-spectrometer used for remotely sensing optical emis- Technology, vol. 47, Jan. 1980, p. 15-17. Translation. sion spectra associated with the environment. For a practical It is shown that the use of a two-mirror scanning system, instrument using prism-type compensator elements, a viewing field high-performance stabilization, and proper selection of the ratio of can be extended to more than ten degrees full range. V.T. the sides of the radiant energy receiver (RER) make it possible to scan the earth's surface with practically no distortions due to line A80-49662 K Spacecraft trajectories for the remote sensing overlap and omission. Through the use of a mosaic RER and of the earth (Traektorii dvizheniia kosmicheskikh apparatov, multichannel signal transmission it is possible to obtain a limited prednaznachennykh dlia issledovaniia zemli iz kosmosa). E. L. improvement in the sensitivity in the middle of the strip being Lukashevich (Gosudarstvennyi Nauchno-lssledovatel'skii i Proizvod- scanned. (Author) stvennyi Tsentr Priroda, USSR). Issledovanie Zemli iz Kosmosa, May-June 1980, p. 91-97. 7 refs. In Russian. Satellite orbit planning for the remote sensing of the earth surface is reviewed. Attention is given to orbit calculation methods A80-53094 Activities and future plan of earth observation and to satellite maneuver procedures for keeping earth resources by satellites. Y. Hakura (National Space Development Agency of satellites within the prescribed orbits. B.J. Japan, Tokyo, Japan). Acta Astronautica, vol. 7, Aug.-Sept. 1980, p. 1049-1064. The Earth Observation Center of NASDA has been receiving A80-51233 * Magsat - A new satellite to survey the earth's MSS and RBV (return beam vidicon) data from NASA's Landsat magnetic field. F. F. Mobley, L. 0. Eckard, G. H. Fountain (Johns satellites since January 1979. The data are widely used for research Hopkins University, Applied Physics Laboratory, Laurel, Md.), and and applications by government institutions, universities, industries, G. W. Ousley (NASA, Goddard Space Flight Center, Greenbelt, Md.). etc. The first of the Japanese earth observation satellite series, MOS-1 (Institute of Electrical and Electronics Engineers, International (Marine Observation Satellite-1), which carries MESSR (visible and Magnetics Conference, 18th, Boston, Mass., Apr. 21-24, 1980.) IEEE near-IR radiometer of push-broom scanning type), VTIR (visible and Transactions on Magnetics, vol. MAG-16, Sept. 1980, p. 758-760. 7 thermal IR radiometer), and MSR (microwave scanning radiometer), refs. is under development with target launch date in FY 1984. (Author)

223 08 INSTRUMENTATION AND SENSORS

A80-53609 Landsat-D - Overview and implications. L W. N80-28853# Virginia Dept. of Highways and Transportation. Warzecha and R. J. Katucki (General Electric Co., Space Div., Richmond. Aerial Safety Section. Philadelphia, Pa.). In: Space developments for the future of AEROTRIANGULATION CONTROL OF LARGE SCALE mankind; International Astronautical Congress, 30th, Munich, West PHOTOGRAPHY FROM SMALL SCALE PHOTOGRAPHY Germany, September 17-22, 1979, Selected Papers. Congress spon- Final Report sored by the International Astronautical Federation. Oxford, Perga- George W. Habel. Jr. 26 Oct. 1979 49 p Sponsored by Federal Highway Administration mon Press, Ltd., 1980, p. 91-100. {PB80-161524: FHWA-VA-79-1) Avail: NTIS The Landsat-D mission system is reviewed with reference to the HC A03/MF A01 CSCL 14E program objectives, flight segment, ground segment, and planned Tests were conducted to determine if a simultaneous operation in orbit. The goal of Landsat-D is to advance the adjustment of high and low altitude photography would yield technology of remote sensing of the earth's resources from space. results superior to either scale when used alone. These tests Landsat-D will incorporate new technology in the flight segment also offered an excellent opportunity to test the metric qualities through the Thematic Mapper (TM), a new sensor which extends of two different cameras and the relative metric qualities of from four to seven bands the spectral region sensing capacity of black and white and color film. It was concluded that using a previous Landsat spacecraft. High-resolution TM data will be simultaneous adjustment is a good photogrammetric practice transmitted at a rate of 84.9 Mbps, necessitating changes in the under certain circumstances. It was also found that the RC-10 ground data processing equipment. Consideration is also given to the camera normally gave a flatter bridge than the RC-8. and there international implications of the mission. V.L. was no appreciable difference in the metric qualities of the black and white and color film used in these tests. GRA

A80-53891 * Radar altimeter mean return waveforms from N80-294O7# Dornier-Werke G.m.b.H.. Friedrichshafen (West. near-normal-incidence ocean surface scattering. G. S. Hayne (Applied Germany). Hauptabteilung Raumfahrtprogramme. Science Associates, Inc., Apex, N.C.). IEEE Transactions on Anten- CONCEPTUAL STUDY OF A EUROPEAN REMOTE SENSING nas and Propagation, vol. AP-28, Sept. 1980, p. 687-692. 19 refs. SATELLITE WITH COMBINED OPTICAL AND MICROWAVE Contract No. NAS6-2810. PAYLOAD Final Report Under assumptions common in radar altimetry, the mean Wolfgang Gilg. E. Achtermann. K.-L Bitzer. K. Ernsberger. K.-H. backscattered return power for a short-pulse radar and near-normal- Fabiunke. G. Lehn. W. Schuler. W. Trogus. E. Velten. M. Westphal et al Bonn Bundesmin. fuer Forsch. u. Technol. Nov. 1979 incidence scattering from a rough ocean surface is given by the 110 p refs In GERMAN: ENGLISH summary Sponsored by convolution of several terms. For a nearly Gaussian transmitted pulse Bundesministerium fuer Forschung und Technologie Prepared shape scattered from a nearly Gaussian distributed sea surface, a in cooperation with DFVLR. Oberpfaffenhofen. West Germany small-argument series expansion of one of the terms within the (BMFT-FB-W-79-18) Avail: NTIS HC A06/MF A01: Fachinfor- convolution leads to a several-term power series expansion for the mationszentrum. Karlsruhe. West Germany DM 22.70 mean return waveform. Specific expressions are given for the first The concept of a European remote sensing satellite (ERDSAT) four terms. These results, which require much less computer time launched by ARIANE and carrying a model payload, consisting than would the otherwise necessary numerical convolution, are of a synthetic aperture radar and an optical multispectral scanner useful for data analysis from current or past radar altimeters and for with nine channels for land applications or coastal zone missions design studies of future systems. Several representative results are is characterized. The mission goal of ERDSAT is based on European presented for an idealized Seasat radar altimeter. (Author) user requirements where a strong need for optical and microwave sensor operation on board the same satellite in a simultaneous or sequential mode is expressed. A data collection system is included. The proposed satellite is three-axes-stabilized and has a Sun-synchronous, near polar circular orbit at 750 km altitude. N80-28637*# National Aeronautics and Space Administration. The selected configuration separates payload module and bus Langley Research Center. Hampton. Va. module A thermostable carbon fiber grating structure constitutes THE DEVELOPMENT OF A STEPPED FREQUENCY MI- the central framework of the satellite. Each major subsystem is CROWAVE RADIOMETER AND ITS APPLICATION TO housed in a separate compartment and can be integrated and REMOTE SENSING OF THE EARTH tested individually. First mass estimates result in 450 kg for the Richard F. Harrington Jun. 1980 181 p refs payload and 880 kg for the bus. The maximum power needed (NASA-TM-81847) Avail: NTIS HC A09/MF A01 CSCL is 1750 W (for 6 minutes, three times a day), which is provided 09 C by a 1330 W solar array and two batteries. Author (ESA) The design, development, application, and capabilities of a variable frequency microwave radiometer are described. This radiometer demonstrated the versatility, accuracy, and stability N80-29801 *# Eastman Kodak Co.. Rochester. N. Y. required to provide contributions to the geophysical understanding ADVANCED SOLID STATE EARTH RESOURCES SATELLITE of ocean and ice processes. A closed-loop feedback method STUDY Final Report was used, whereby noise pulses were added to the received 30 Jun. 1980 70 p refs Original contains color imagery. electromagnetic radiation to achieve a null balance in a Oicke Original photography may be purchased from the EROS Data switched radiometer. Stability was achieved through the use of Center. Sioux Falls. S.D. 57198 ERTS a constant temperature enclosure around the low loss microwave (Contract NASw-3375) front end. The Dicke reference temperature was maintained to (E80-10232: NASA-CR-163337: RC-00221) Avail: NTIS an absolute accuracy of 0.1 K using a closed-loop proportional HC A04/MF A01 CSCL 228 temperature controller. A microprocessor based digital controller operates the radiometer and records the data on computer compatible tapes. This radiometer exhibits an absolute accuracy N80-30822 Old Dominion Univ.. Norfolk. Va. of better than 0.5 K when the sensitivity is 0.1 K. The sensitivity THE DEVELOPMENT OF A STEPPED FREQUENCY MI- varies between 0.0125 K and 1.25 K depending upon the CROWAVE RADIOMETER AND ITS APPLICATION TO bandwidth and integration time selected by the digital control- REMOTE SENSING OF THE EARTH Ph.D. Thesis ler. Remote sensing experiments were conducted from an aircraft Richard Harrington 1980 188 p platform and the first radiometeric mapping of an ocean polar Avail: Univ. Microfilms Order No. 8020139 front: exploratory experiments to measure the thickness of lake The design, development, application, and capabilities of a ice: first discrimination between first year and multiyear ice below variable frequency microwave radiometer are described. This 10 GHz: and the first known measurements of frequency sensitive radiometer has demonstrated the versatility, accuracy, and stability characteristics of sea ice. L.F.M. required to provide contributions to the geophysical understanding

224 08 INSTRUMENTATION AND SENSORS

of ocean and ice processes. The design technique utilized a (Contract NAS5-24480) closed loop feedback method, whereby noise pulses were added (NASA-CR-160032) Avail: NTIS HCA11/MFA01 CSCL to the received electromagnetic radiation to achieve a null balance 148 in a Dicke switched radiometer Stability was achieved through A multichannel 94/183 GHz radiometer was designed, built, the use of a constant temperature enclosure around the low and installed on the NASA Convair 990 research aircraft to loss microwave front end. Remote sensing experiments were take data for hurricane penetration flights. SEASAT-A underflights conducted from an aircraft platform using this radiometer. Four for measuring rain and water vapor, and Nimbus-G underflights significant scientific observations were accomplished during these for new sea ice signatures and sea surface temperature data experiments. These observations consisted of the first radiometric (94 GHz only). The radiometer utilized IF frequencies of 1. 5. mapping of an ocean polar front, exploratory experiments to and 8.75 GHz about the peak of the atmospheric water vapor measure the thickness of lake ice. first discrimination between absorption line, centered at 183.3 GHz. to gather data needed first year and multiyear ice below 10 GHz, and the first known to determine the shape of the water molecule line. Another measurements of frequency sensitive characteristics of sea ice. portion of the radiometer operated at 94 GHz and obtained Dissert. Abslr. data on the sea brightness temperature, sea ice signatures, and on areas of rain near the ocean surface. The radiometer used a multiple lens antenna/temperature calibration technique using N80-31857*# National' Aeronautics and Space Administration. 3 lenses and corrugated feed horns at 94 GHz and 183 GHz. Washington. 0. C. Alignment of the feed beams at 94 GHz and 183 GHz was RAOUGA EXPERIMENT. MULTIZONAL PHOTOGRAPHING accomplished using a 45 deg oriented reflecting surface which THE EARTH FROM THE SOYUZ-22 SPACECRAFT permitted simultaneous viewing of the feeds on alternate cycles Ya. Ziman. Yu. Chesnokov. B. Ounayev. V. Aksenov. V. Bykovskiy. of the chopping intervals. Author R. loaskhim. K. Myuller, V. Choppe, and V. Volter Jul. 1980 27 p refs Transl. into ENGLISH of "Eksperiment Raduga- Mnogozonal Noye Fotografirovan ye Zemli s Kosmicheskogo Korablya Soyuza-22" Rept D-254 Acad. of Sci. USSR. Inst. of Space Res.. Moscow. 1977 p 1-35 Transl. by Scientific Translation Service. Santa Barbara. Calif. (Contract NASw-3198) (NASA-TM-76234. D-254) Avail: NTIS HC A03/MF A01 CSCL 14E The main results of the scientific research and 'Raduga' experiment are reported. Technical parameters are presented for the MKF-6 camera and the MSP-4 projector. Characteristics of the obtained materials and certain results of their processing are reported. L.F.M.

N80-31863# Centre Informazioni Studi Esperienze. Milan (Italy). Servizio Documentazione. SENSORS FOR REMOTE SENSING [SENSORI PER TELERILEVAMENTO] E. M. Bastida. F. Gardossi. A. Sona. F. Svelto. and V. Svelto Jan. 1979 53 p refs In ITALIAN: ENGLISH summary (CISE-N-190) Avail: NTIS HC A04/MF A01 The most important remote sensing methods are discussed. Particular attention is devoted to the sensors, defined as the components transforming the electromagnetic information into usable data. Photographic methods, radar and microwave methods, and applications of infrared and laser radiation are included. Author (ESA)

N80-32807*# Dartmouth Coll.. Hanover. N.H. AN INVESTIGATION OF VEGETATION AND OTHER EARTH RESOURCE/FEATURE PARAMETERS USING LA NO SAT AND OTHER REMOTE SENSING DATA. 1: LANDSAT. 2: REMOTE SENSING OF VOLCANIC EMISSIONS Semiannual Status Report. 1 Feb. - 31 Jul. 1980 Richard W. Birnie and Richard E. Stoiber. Principal Investigators 31 Jul. 1980 45 p refs Original contains imagery Original photography may be purchased from the EROS Data Center, Sioux Falls. S. D. 57198 ERTS (Contract NCC5-22) (E80-10312: NASA-CR-1 63401: SASR-1) Avail: NTIS HC A03/MF A01 CSCL 05B

N80-33047*$ Georgia Inst. of Tech., Atlanta. Engineering Experiment Station. A 94/183 GHz MULTICHANNEL RADIOMETER FOR CONVAIR FLIGHTS Final Technical Report. 6 Apr. 1978 - 2 Feb. 1979 J. A. Gagliano. J. A. Stratigos. R. E. Forsythe. and J. M. Schuchardt Jan. 1979 243 p

225 Page Intentionally Left Blank A80-53148 Utilization of space for scientific and econom- 09 ic purposes in the USSR in 1978 (Osvoenie kosmicheskogo prostran- GENERAL stva v SSSR 1978: Kosmos-nauke i narodnornu khoziaistvu). Edited by R. 7.. Sagdeev. Moscow, Izdatel'stvo Nauka, 1980. 190 p. In Includes economic analysis. Russian. This volume is a compilation of TASS communications published in the USSR in 1979, concerning the exploration of space. The communications deal with remote sensing of earth resources from Saliut 6 and satellites of the Cosmos and Molniia series, the exploration of the planet Venus by means of the Venera 11 and 12 A80-45575 Space law - A new proposal. F. Lay (United probes, the achievements of the Saliut 6 space laboratory, the Nations, New York, N.Y.). Journal of Space Law, vol. 8, Spring contribution to star catalogs, lunar explorations, manufacturing 1980, p. 41-57. 35refs. under conditions of weightlessness, etc. V.P. The paper discusses the U.N. Agreement Governing the Activ- ities of States on the Moon which was concluded in 1979. The agreement binds the contracting states to elaborate a regime for the A80-53350 # China space report /Based on observations equitable allocation of benefits which will result when the commer- made during an invited tour with an AIAA delegation, November cial exploitation of the moon's resources becomes feasible; in 1979/. W. L. Pritchard (Satellite Systems Engineering, Inc., Bethesda, addition, it provides that the international community will be Md.) and J. J. Harford (American Institute of Aeronautics and informed of the results of research and findings of space powers on Astronautics, Inc., New York, N.Y.). New York, American Institute the moon. The U.N. is continuing work on space applications of Aeronautics and Astronautics, Inc., 1980. 212 p. 16 refs. S20. including the elaboration of principles for the regulation of future The book describes an invited tour of an AIAA delegation to the direct television broadcasting via satellite, study of remote sensing'of People's Republic of China to promote cooperation through the earth resources from space, and regulation of nuclear-power sources exchange of scientific and technological information in the fields of on space vehicles. Dangers of militarization of outer space are communication satellites, earth resources satellites, and meteorologi- discussed, raising a question as to whether military space technology cal satellites. Background of U.S.-China relations is discussed, can be considered a peaceful activity compatible with the objective chronology of specific visits is presented, and observations and tips of 'peaceful use' of outer space. A.T. for travel in China are outlined. V.T.

A80-46300 ft Concept of a research aircraft for remote N80-29802*# Washington Univ.. St. Louis. Mo. Center for sensing, using an integrated sensor/data system (Konzept eines Development Technology. Forschungsflugz<;uges fur die Fernerkundung mit integriertem PROGRAM ON STIMULATING OPERATIONAL PRIVATE Sensor- und Datensystem). G. Miosga (Deutsche Forschungs- und SECTOR USE OF EARTH OBSERVATION SATELLITE DATA Versuchsanstalt fur Luft- und Raumfahrt, Institut fur Optoelektro- Technical Progress Status Report. 15 Jan. - 15 Jun. 1980 nik, Braunschweig, West Germany). Deutsche Gesellschaft fur Luft- Lester F. Eastwood. Jr.. Jerry Foshage. Guillermo Gomez. Becky und Raumfahrt, Jahrestagung, 13th, Braunschweig, West Germany, Kirkpatrick. Barry Konig. Bret Smith. Robert Stein, Francis May 28-30, 1980. Paper 80-051. 34 p. In German. Vithayathil. and Katharine Warner. Principal Investigators 15 Jun. The paper deals with a concept for defining an experimental 1980 125 p refs ERTS (Contract NASw-3331) aircraft for earth resource surveys. The mission requirements are (E80-10233: NASA-CR-163338) Avail: NTIS formulated, and the determination of the type of aircraft best suited HC A06/MF A01 CSCL 05B to meet these requirements is discussed, along with the onboard data-acquisition and sensor systems. V.P.

N80-29823*# Cornell Univ.. Ithaca. N. Y. Remote Sensing A80-50280 ft Earth observation from space today and to- Program. morrow (Kosmicheskoe prirodovedenie segodnia i zavtra). lu. Kienko CORNELL UNIVERSITY REMOTE SENSING PROGRAM (Gosudarstvennyi Nauchno-lssledovatel'skii i Proizvodstvennyi Semiannual Status Report. 1 Dec. 1979 - 31 May 1980 Ta Liang. Principal Investigator and Warren R. Philipson Jun. Tsentr Priroda, USSR). Aviatsiia i Kosmonavtika, Aug. 1980, p. 38, 1980 100 p refs Original contains imagery. Original 39. In Russian. photography may be purchased from the EROS Data Center. Soviet efforts involving the remote sensing of earth resources Sioux Falls. S.D. 57198 ERTS and environmental monitoring from space are briefly reviewed. The (Grant NGL-33-010-171) importance of remote sensing for economic development is empha- (E80-10280: NASA-CR-163346) Avail: NTIS sized. BJ. HC A05/MF A01 CSCL 05B

N80-31420'# National Aeronautics and Space Administration. A80-52691 Brazil in space. T. Pirard. Spaceflight, vol. 22. Goddard Space Flight Center. Greenbelt. Md. June 1980, p. 237-239. 5 refs. REPORT ON ACTIVE AND PLANNED SPACECRAFT AND The objectives of the Brazilian space research are reviewed, EXPERIMENTS emphasizing those technical applications which will aid in Brazil's Richard Horowitz, ed. and Robert W. Nostreys. ed. Aug. 1980 319 p social and educational development. The various projects and (NASA-TM-80905: NSSDC/WOC-A-R/S-80-06) Avail: NTIS research activities in Brazil are the responsibility of both the Institute HC A14/MF A01 CSCL 22A for Space Research (INPE) and the Institute for Space Activities Information on current and planned spacecraft activity for a (IAE). Remote sensing of resources, such as sugar cane crops with broad range of scientific disciplines is presented. The information Landsat imagery, and the use of communications satellites for covers a wide range of disciplines: astronomy. Earth sciences, economic and educational purposes are the two space applications in meteorology, planetary sciences, aeronomy. particles and fields, which INPE is interested, while the principal task of the IAE solar physics, life sciences, and material sciences. These spacecraft engineers and technicians is the development of the national launch projects represent the efforts and funding of individual countries vehicle, based on the technology of the present Sonda rockets. as well as cooperative arrangements among different countries. A.C.W. R.C.T.

227 09 GENERAL

N80-32295# Council on Environmental Quality, Washington, N80-33846'# National Aeronautics and Space Administration. D.C. Washington. D. C. THE GLOBAL 2000 REPORT TO THE PRESIDENT. ENTER- PRIVATE SECTOR INVOLVEMENT IN CIVIL SPACE REMOTE ING THE TWENTY-FIRST CENTURY. VOLUME 1 SENSING. VOLUME 2. APPENDICES 1980 55 p refs 2 Vol. 15 Jun. 1980 123 p Sponsored in part by NOAA. Dept. of Avail: SOD HC the Interior, Dept. of Agriculture. DOD. EPA. Army Corps of Probable trends in population, resources, and environment Engineers and Dept. of State were estimated between the year 1975 and 2000. Trend (NASA-TM-82207) Avail: NTIS HC A06/MF A01 CSCL projections were developed using the long term global models 058 employed by federal agencies. It is indicated that if present The U.S. Space Policy concerning the investment and direct trends continue, the world in 2000 will be more crowded, more participation in the establishment and operations of remote sensing polluted, less stable ecologically, and more vulnerable to disruption systems is addressed. Private sector views and state and local than the world today. Major findings and conclusions are government views are presented. Results of a maiket analysis reported. R.C.T. are pregiven and the economic feasibility of such a program is considered. J.M.S. NBO-32296# Council on Environmental Quality, Washington. D.C. THE GLOBAL 2000 REPORT TO THE PRESIDENT. ENTER- ING THE TWENTY-FIRST CENTURY. VOLUME 2: THE N80-34041# National Oceanic and Atmospheric Administration, TECHNICAL REPORT Washington. D. C. Federal Coordinator for Meteorological 1980 775 p refs 2 Vol. Services and Supporting Research. Avail. SOD HC Changes in pollution, climate, technology. Earth resources, THE FEDERAL PLAN FOR METEOROLOGICAL SERVICES energy, and the environment until the end of the century as AND SUPPORTING RESEARCH. FISCAL YEAR 1981 projected by U.S. Government agencies using their most frequently T. B. Owen Mar. 1980 120 p employed long term planning models and analytical tools are (PB80-199482: FCM-80-3: NOAA-80051901) Avail: NTIS discussed. A sequential approach was used to obtain a measure HC A06/MF A01 CSCL 04B of self consistency, coherence, and interrelationship so as to This Federal Plan is the sixteenth in an annual series, produced provide an integrated global model which reflects the implications in compliance with Section 304 of Public Law 87-843, to provide if current U.S. policies remain unchanged. Each of the models the Congress with a description of governmental programs in used is described and other global models are examined and meteorology, and to outline the specific functions and funding compared with the global model developed. A.R.H. requested by each agency involved. GRA

N80-34294# Committee on Commerce. Science, and Transporta- N80-33425*# National Aeronautics and Space Administration, tion (U. S. Senate). Washington, D. C. OPERATIONAL REMOTE SENSING LEGISLATION. PART 1 THE UNITED STATES SPACE OBSERVATION POLICY Washington GPO 1979 245 p Hearings on S. 663 and S. Michele Chevrel Oct. 1980 10 p Transl. into ENGLISH from 875 before the subcomm. on Sci.. Technol., and Transportation, Les Cahiers de I'OPIT (France), Dossier no. 2. Winter 1979/1980 96th Congr.. 1st Sess.. 9 and 11 Apr. 1979 p 22-25 Transl, by Scientific Translation Service, Santa Barbara. (GPO-45-048) Avail: Subcomm. on Sci., Technol.. and Space Calif. Legislation to establish an Earth data and information service (Contract NASw-3198) in NASA is presented. Legislation to provide for the establishment, (NASA-TM-76373) Avail: NTIS HC A02/MF A01 CSCL ownership, operation, and regulation of a commercial Earth 22A resources information service, utilizing satellites and other The steps pursued since 1978 to establish an operational technologies, is presented. These hearings on remote sensing civil space remote sensing system are outlined. The role of the were before the Subcommittee on Science, Technology, and Space National Oceanographic and Atmospheric Agency is defined, and of the United States Senate. T.M. the problems still remaining are discussed. T.M. N80 34295$ Committee on Commerce. Science, and Transporta- tion (U. S. Senate). OPERATIONAL REMOTE SENSING LEGISLATION. PART 2 Washington GPO 1979 74 p refs Hearings on S. 663 and S. 875 before the Subcomm. on Sci.. Technol.. and Space of the Comm. on Com.. Sci., and Transportation N80 33845* # National Aeronautics and Space Administration, IGPO-52-581) Avail: Subcommittee on Science. Technology, Washington, D. C. and Space PRIVATE SECTOR INVOLVEMENT IN CIVIL SPACE REMOTE Legislation to establish an Earth data and information service SENSING. VOLUME 1: REPORT in NASA is presented. Legislation to provide for the establishment, 15 Jun 1979 37 p Sponsored in part by NOAA. Dept. of ownership, operation, and regulation of a commercial Earth the Interior. Dept. of Agriculture. DOD. EPA, Army Corps of resources information service, utilizing satellites and other Engineers and Dept. of State technologies, is presented. These hearings on remote sensing (NASA-TM-82206I Avail: NTIS HC A03/MF A01 CSCL were before the Subcommittee on Science. Technology, and Space 05B of the United States Senate. T.M. A survey of private sector developers, users, and interpreters of Earth resources data was conducted in an effort to encourage private investment and participation in remote sensing systems. Results indicate positive interest in participation beyond the current hardware contracting level, however, there is a substantial gap between current market levels and system costs. Issues identified include the selection process for an operating entity, the public/ private interface, data collection and access policies, price and profit regulation in a subsidized system, international participation, and the responsibility for research and development. It was agreed that the cost, complexity, and security implications of integrated systems need not be an absolute bar to their private operation. J.M.S.

228 SUBJECT INDEX

Earth Resources/A Continuing Bibliography (Issue 28) JANUARY 1981

Utilization of LANDSAT data to inventory the sugar cane An algorithm for estimating crop calendar shirts of spring in the state of Sao Paulo small grains using LANDSAT spectral data Typical Subject Index Listing (E80-10261] p0177 N80-30844 [E80-10314] p0178 N80-32809 AgRISTARS cropping practices and crop characteristics Operation plan for the High Density Tape/LANDSAT based on 1979 ESCS observations — Arkansas, Imagery Verification and Extraction System (HOT/LIVES) California. Georgia. Illinois. Iowa. Louisiana. Minnesota. data processing support I SUBJECT HEADING | | TITLE EXTENSION |— Mississippi. Missouri. Nebraska. North Carolina. North [E80-10322] p0221 N80-32813 Dakota, Ohio, Pennsylvania, South Carolina, and Texas Development of Al procedures for dealing with the effects (E80-10292] p0177 N80-30860 of episodal events on crop temporal spectral response and GRE AT PLAINS CORRIDOR NORTH AME RICAI development of Al guidelines for corn and soybean labeling A labeling technology for LANDSAT imagery — tVpplt«d rtgonal monitoring of lh« vernal -•* Corn Belt advancement [E80-10293] P0219 N80-30861 *nc r«trogndat>on IgrMn w«y • affect) of natJiel vegetation |E80-10327] p0178 N80-32818 K« Grtlt Plains corridor •- Southwest T Sensors for remote sensing A muftispectral data simulation technique |E8 01 0008) PO025 N80 12524 [CISE-N-190] p0225 N80-31863 [E80-10311| p0221 N80-33830

Irrigated lands assessment for water management Utilization of spectral-spatial information in the REPORT PAGE ACCESSION Applications Pilot Test (APT) — California classification of imagery data — TITLE (E80-10324) 0178 N80-32815 [E80-10321] p0222 N80-33832 NUMBER NUMBER NUMBER P AGROCUMATOLOGY Development of Al procedures for dealing with the effects LACIE field measurements data acquisition summary of episodal events on crop temporal spectral response and report. 1975 - )976 crop year --- Finney County, Kansas: The subject heading is a key to the subject con- development of Al guidelines for corn and soybean labeling Williams County. North Dakota; and Hand County. South — Corn Belt tent of the document. The title is used to provide Dakota [E80-10327] P0178 N80-32818 a description of the subject matter. When the (E80-10193) p0214 N80-28790 title is insufficiently descriptive of the document Applied Remote Sensing Program (ARSP) —- Arizona Florida water resources [E80-10330] p0178 N80-32821 [E80-10246] p0205 N80-30829 content, the title extension is added, separated Infrared-temperature variability in a large agricultural field Florida water resources. Executive summary from the title by three hyphens. The (NASA or --- Ounnigan. California [E80-10247) p0205 N80-30830 AIAA) accession number and the page number [E80-10331] p0178 N80-32822 Satellite activities of NOAA. 1979 p0220 N80-31429 are included in each entry to assist the user in The application of remote sensing to resource Development of Al procedures for dealing with the effects locating the abstract in the abstract section (of management and environmental quality programs in Kansas of episodal events on crop temporal spectral response and — kansas: roy's and phony creeks watersheds: the proposed development of Al guidelines for corn and soybean labeling this supplement). If applicable, a report number tallgrass prairie national park and pin ford lake, missouri — Com Belt is also included as an aid in identifying the docu- |E80-10337] p0183 N80-32825 [E80-10327] p0178 N80-32818 ment. Under any one subject heading, the acces- The use of radiation temperature to detect water-stress AGROMETEOROLOGY in sugarcane crop --- Brazil Maximal analysis labeling procedure (preliminary) sion numbers are arranged in sequence with the llNPE-1767-TDL/028] p0179 N80-33839 [E80-10294] p0219 N80-30862 AIAA accession numbers appearing first. AGRISTARS PROJECT Application of remote sensing to selected problems within Pixel labeling by supervised probabilistic relaxation the state of California --- Mendocino, Colusa. and Shasta [E80-10267J p0216 N80-29SJ4 Counties Sampling of rectangular regions [E80-10326] p0183 N80-32817 [E80-10272] p0176 N80-29819 AIR LAND INTERACTIONS Some approaches to optimal cluster labeling of aerospace The appearance of the Main Ural Fault in a cloud field imagery on space photographs p0189 A80-49664 (E80-10273] p0216 N80-29820 Defining relationships between surface characteristics ABSORPTION SPECTROSCOPY Composition and assembly of a spectral data base for and actual evaporation rate In situ ozone data for evaluation of the laser absorption corn and soybean multicrop segments --- Missouri, [E80-10335) p0207 N80-33834 spectrometer ozone remote sensor: 1979 southeastern Nebraska. South Dakota, Wisconsin. Iowa. Illinois, AIR POLLUTION Virginia urban plume study summer field program Mississippi. Indiana, Kentucky. Minnesota, Michigan, and Conversion of nitrogen oxide gases to nitrate particles INASA-TM-81831) p0183 N80-33928 Louisiana in oil refinery plumes p0181 A80-48534 ACCURACY [E80-10281) p0176 N80-29824 Remote sensing of NO using a differential absorption As-built design specification for CCIT8 processor Remote sensing research studies lidar p0182 A80-52332 program [E80-10117] p0176 N80-30823 Smoke as a quantitative atmospheric diffusion tracer [E80-10323] p0221 N80-32814 The integrated analysis procedure for identification of p0182 A80-53265 AERIAL PHOTOGRAPHY spring small grains and barley — Great Plains Corridor: Airborne sulfur dioxide to sulfate oxidation studies of Image transformation study U.S. and Canada the INCO 381M chimney plume p0182 A80-53269 [AD-A086070] p0216 N80-29828 [E80-10274] p0177 N80-30847 AIR QUALITY AERIAL RECONNAISSANCE Statistical Outlier Detection (SOD): A computer program Applied Remote Sensing Program (ARSP) — Arizona Concept of a research aircraft for remote sensing, using for detecting outliers in data — AgRISTARS Project [E80-10330) p0178 N80-32821 an integrated sensor/data system-.. _ [E80-_10275I p0218 N80-30848 In situ ozone data for evaluation of the laser absorption IDGLR PAPER 80-051] p0227 A80-46300 Estimation of probabilities of label imperfections and spectrometer ozone remote sensor: 1979 southeastern AEROSOLS correction of mislabels Virginia urban plume study summer field program Polar nephelometer for atmospheric paniculate studies [E80-10288] p0218 N80-30856 [NASA-TM-81831J p0183 N80-33928 p0182 A80-52346 AgRISTARS cropping practices and crop characteristics AIR SAMPLING Volcanic material from Mount St Helens in the based on 1979 ESCS observations — Arkansas. Polar nephelometer for atmospheric paniculate studies stratosphere over Europe p0182 A80-54074 California. Georgia, Illinois, Iowa. Louisiana, Minnesota. p0182 A80-5234G Mississippi. Missouri, Nebraska. North Carolina. North Passive 19.3 GHz radiometer and aerosol data from the AIR WATER INTERACTIONS Noah Sea during MARSEN I. September - October 1979 Dakota, Ohio, Pennsylvania, South Carolina, and Texas Comparison of surface wind stress measurements - IAO-A088229] p0199 N80-33068 [E80-10292] p0177 N80-30860 Airborne radar scatterometer versus sonic anemometer AGRICULTURE A labeling technology for LANDSAT imagery p0196 A80-51407 Scpaiabiiity oJ agricuityra! cover types in spectral [E80-10293] p0219 N80-3O861 Comparisons between wave directional spectra from SAR channels and wavelength regions p0173 A80-49100 Maximal analysis labeling procedure (preliminary) and pressure sensor arrays pGiSo ASO-51403 (E80-10294) pO219 N80-30862 Overview of the Landsat system p0174 A80-49137 Modulation of sea surface radar cross section by surface The Columbia River and Tributaries Irrigation Withdrawals An exploratory study to develop a cluster-based area stress - Wind speed and temperature effects across the Analysis Project - Feasibility analysis and future plans estimation procedure — Colorado, Kansas. Minnesota. Gulf Stream p0196 A80-51415 pO174 A80-49141 Nebraska. Texas. South Dakota. Oklahoma, and North Satellite studies of fresh-water ice movement on Lake Dakota A study of the needs of French government agencies in Erie p0205 A80-53611 [E80-10295] pO177 N80-30863 (emote sensing mapping pOISI A80-50882 Remote sensing of the ocean: Dynamics. Citations from Use of soil moisture information in yield models LAC1E field measurements data acquisition summary the NTIS data base [E80-10302] p0177 N80-30869 report. 1975 - 1976 crop year —- Finney County, Kansas: 1PB80-8H243) p0199 N80-30885 Evaluating the use of analyst labels in maximum likelihood Williams County. North Dakota: and Hand County. South Passive 19.3 GHz radiometer and aerosol data from the Dakota duster proportion estimation North Sea during MARSEN I. September - October 1979 [E80-10193] P0214 N80-28790 [E80 10303) p0219 N80-30870 |AD A08S229] p0199 N80-33068 Evaluation of Bayesian sequential proportion estimation Program on stimulating operational private sector use On the inference of oceanic currents or eddies by using analyst labels of Earth observation satellite data spaceborne attimetry through the dynamic method for the [E8O-103O4] pO219 N80-30871 IE80-10233] P0227 N8O-29802 determination of three dimensional density (temperature) Remote sensing research studies Analysis of scanner data for crop inventories field [E80-10117} p0176 N80-30823 [E80-10308] p0219 N80-30874 |AD-A088082) p0199 N80-33076 Use of LANDSAT data for estimating the area of sugar A multiprocessor implementation of a contextual (mage AIRBORNE EQUIPMENT cane in the state of Sao Paulo — Brazil processing algorithm L-band radar and geology - Some results in south-east [E80-10260] 00177 N80-30843 [E8O-10313] p0221 N80-32808 of France pO191 A8O-51O95 A-1 ALABAMA SUBJECT INDEX

ALABAMA Experiment with the composition of a geological map B AgRISTARS cropping practices and crop characteristics on the basis of interpretations of Meteor satellite television based on 1979 ESCS observations — Alabam, Arkansas, images /using Central Asia as an example/ BACKSCATTERING California, Georgia, Illinois, Iowa, Louisiana, Minnesota, p0211 A80-52054 Vegetation clutter model p0173 A80-44262 Mississippi, Missouri, Nebraska. North Carolina. North ATLANTIC OCEAN Development of a pulsed 9.5 micron lidar for regional Dakota. Ohio, Pennsylvania, South Carolina, and Texas Ocean chlorophyll studies from a U-2 aircraft platform scale O3 measurement p0181 A80-48909 [E80-10292] P0177 N80-30860 p0195 A80-450O4 Oil film thickness measurement using airborne ALASKA Observation of wavelike motion of the Gaspe Current laser-induced water Raman backscatter Use of LAND SAT data for river and lake ice engineering p0195 A80-46309 p0197 A80-52331 studies The three-dimensional structure of the frontal zone of Radar altimeter mean return waveforms from [E80-10237) P0205 N80-29806 the Gulf Stream from synchronous satellite and ship data near-normal-incidence ocean surface scattering Radar backscatter study of sea ice p0196 A80-49651 p0224 A80-53891 [AD-A087032J p0198 N80-3O618 Synthetic aperture radar imaging of ocean waves - Radar backscatter study of sea ice ALBEDO (AD-A087032] p0198 N80-30618 Defining relationships between surface characteristics Comparison with wave measurements p0196 A80-51411 BALTIC SEA and actual evaporation rate Comparative experimental study on the use of original The Gulf Stream Meanders experiment: Current meter, [E80-10335] P0207 N80-33834 and compressed multispectra! LANDSAT data for applied atmospheric, and sea level data report for the mooring ALFALFA research period Program on stimulating operational private sector use (DFVLR-FB-80-03) p0220 N80-31865 JAD-A088069] p0199 N80-33077 of Earth observation satellite data BANGLADESH (E80-10233] P0227 N80-29802 Investigations of medium wavelength magnetic Study of floods in Bangladesh and India with the help Development of At procedures for dealing with the effects anomalies in the eastern Pacific using Magsat data of meteorological satellites p0204 A80-51306 of episodal events on crop temporal spectral response and [E80-10334] p0199 N80-33833 BARLEY development of A' guidelines for corn and soybean labeling Coastal currents: Study of a model applied to the coast Soil water and plant canopy effects on remotely measured — Corn Belt of Rio Grande do Sul latitude 29 deg south to 35 deg surface temperatures p0173 A80-47748 [E80-10327] P0178 N80-32818 south The integrated analysis procedure for identification of ALGORITHMS [INPE-1841-RPE/201] P020O N80-33844 spring small grains and barley --• Great Plains Corridor: On extracting brightness temperature maps from ATMOSPHERIC ATTENUATION U.S. and Canada scanning radiometer data -— techniques for algorithm Study of the atmospheric effects on the radiation detected [E80-10274] p0177 N80-30847 design by the sensor aboard orbiting platforms (ERTS/LANDSAT) AgRISTARS cropping practices and crop characteristics [NASA-TM-81989] p0221 N80-32838 -— Ribeirao Preto and Brasilia. Brazil based on 1979 ESCS observations --- Alabam, Arkansas, ALLUVIUM [E80-10259] p0218 N80-30842 California. Georgia, Illinois. Iowa. Louisiana. Minnesota, Simulation of reservoir and lake sedimentation A 94/183 GHz multichannel radiometer for Convair Mississippi. Missouri, Nebraska. North Carolina, North [PB80-182801] p0206 N80-31867 flights Dakota. Ohio. Pennsylvania. South Carolina, and Texas ALPS MOUNTAINS (EUROPE) [NASA-CR-160032] p0225 N80-33047 [E80-10292] p0177 N80-30860 L-band radar and geology - Some results in south-east HCM M energy budget data as a model input for assessing of France pO!91 A80-51095 ATMOSPHERIC CHEMISTRY regions of high potential groundwater pollution --- South Microwave emission properties of snow for monitoring Airborne sulfur dioxide to sulfate oxidation studies of hydrological parameters p0203 A80-51297 the INCO 381M chimney plume p0182 A80-53269 Dakota Application Explorer Mission-A heat capacity mapping ATMOSPHERIC CIRCULATION [E80-10310] p0206 N80-32806 mission --- Bavflria, Germany and Marrakech. Morocco Volcanic material from Mount St Helens in the Infrared-temperature variability in a large agricultural field [E80-10309] p0219 N80-30875 stratosphere over Europe p0182 A80-54074 --- Dunnigan. California ANALYSIS OF VARIANCE ATMOSPHERIC COMPOSITION [E80-10331] p0178 N80-32822 Program documentation: As-built design specification Fluorescence lidar --- for remote sensing of environments BAROCLJNIC WAVES for Generalized Linear Model Analysis Of Variance program and atmospheric constituents p0181 A80-48908 Dynamical interpretation of satellite-sensed thermal (G LMAOV) Laser studies of the atmosphere and underlying surface features off Vancouver Island p0195 A80-46315 [E80-10214] p0215 N80-29792 — Russian book p0182 A80-53131 BAROTROPIC FLOW ANNUAL VARIATIONS ATMOSPHERIC DIFFUSION ' Observation of wavelike motion of the Gaspe Current Soil moisture in relation to geologic structure and Smoke as a quantitative atmospheric diffusion tracer p0195 A80-46309 lithology. northern California p0182 A80-53265 BARREN LAND [E80-10298] p0192 N80-30865 ATMOSPHERIC MOISTURE Using 70-mm aerial photography to identify tangeland ANOMALOUS TEMPERATURE ZONES Anomalous snowfall caused by natural-draft cooling sites p0175 A80-53056 Remote sensing applied to the prospecting of geothermal towers BATCH PROCESSING anomaly in Catdas Novas County, State of Goias, Brazil [RAND/N-1479-DOE] p0206 N80-32024 Final design specification for EOD-LARSYS procedure [INPE-1792-RPE/164] 0193 N80-32837 P ATMOSPHERIC RADIATION 1 follow-on ANTENNA DESIGN Practical aspects of radiative correction of multispectra) [E80-10213] p0215 N80-29791 Platform antennas for data collection video information p0211 A80-52060 BAYES THEOREM [INPE-1820-RPE/186] 0221 N80-33647 P ATMOSPHERIC SCATTERING Design specification for secondary error sources ANTENNA RADIATION PATTERNS Nonzero subsurface irradiance reflectance at 670 nm from multi-temporal Bayes classifier Recommendations and comments concerning Lake Ontario water masses p0201 A80-45428 |E80-10205] P0215 N80-29784 documentation on the microwave active spectrometer Photometric problems, solved by means of space BAYS (TOPOGRAPHIC FEATURES) systems photography p0209 A80-49657 The geomorphology of Mont-Saint-Michel Bay studied [E80-10187] p0213 N80-28787 from the remote sensing of instantaneous shorelines Allowance for light scattering in the atmosphere in the AQUIFERS 0201 A80-50899 processing of space photographs of the earth's surface P Application of Landsat imagery to ground water studies p0210 A80-49658 The Gulf Stream Meanders experiment: Current meter, in parts of Punjab and Han/ana states. India atmospheric, and sea level data report for the mooring Optical spatial-frequency characteristic of the atmosphere p0203 A80-51290 period and its applications —- atmospheric scattering earth surface ARCTIC OCEAN (AD-A038069) p0199 N80-33077 Radar backscafter study of sea ice image distortion p0212 A80- 52061 Polar nephelometer for atmospheric paniculate studies BEACHES [AD-A087032] p0198 N80-30618 p0182 A80-52346 Application of remote sensing to state and regional Correlation of under-ice roughness with satellite and The contribution of the diffuse light component to the problems --- Mississippi airborne thermal infrared data — Beaufort Sea and Arctic topographic effect on remotely sensed data [E80-10338] p0183 N80-32826 Ocean pack ice [NASA-TM-80728] p0186 N80-30876 BEAUFORT SEA (NORTH AMERICA) [AD-A085512] p0198 N80-30880 ATMOSPHERIC TEMPERATURE Radar backscatter study of sea ice AREA Satellite temperature monitoring and prediction system [AD-A087032] p0198 N80-30618 Errors incurred in estimating an area of uniform land p0211 A80-51943 Correlation of under-ice roughness with satellite and cover using Landsat p0175 A80-53052 As-built design specification for historical daily data bases airborne thermal infrared data — Beaufort Sea and Arctic ARID LANDS for testing advanced models --- Kansas. North Dakota, and Ocean pack ice Use of satellite imagery for the derivation of the U.S.S.R. [AO-A085512] p0198 N80-30880 hydrogeologic characteristics of a test area in semiarid [E80-10198] p0214 N80-28795 BEDROCK climates p0202 A80-51284 As-built design specification for phase 3 model areas Landsat exploration of Himalayan and Peninsular regions Applied Remote Sensing Program (ARSP) --- Arizona added to the monthly data base of the US -— Montana. /Remote sensing and mineral exploration - Progress report [E80-10330] P0178 N80-32821 South Dakota. Oklahoma. Nebraska, and Colorado of work done in India/: I.G.C.P. Project 143 ARIZONA [E80-10263] p0218 N80-30846 p0190 A80-51081 Investigation of the application of HCMM thermal data On the inference of oceanic currents or eddies by Surface characteristics of Precambrian stromatolitic to snow hydrology --- Salt-Verde watershed. Arizona and spaceborne altimetry through the dynamic method for the phosphorites of a part of the Indian shield the Sierra Nevada Mountains. California •determination of three dimensional density (temperature) p019l A80-51087 field [E80-10297] p0205 N80-30864 Contributions of LANDSAT imagery to the geological [AD-A088082] p0199 N80-33076 Applied Remote Sensing Program (ARSP) ••- Arizona mapping of the Rio do Grande Sul Shield — Brazil ATTENUATION [E80-10330] p0178 N80-32821 [INPE-1838-RPE/199] p0193 N80-33842 Platform antennas for data collection ARKANSAS [INPE-1820-RPE/186] ' p0221 N80-33647 BELGIUM AgRISTARS cropping practices and crop characteristics AUSTRALIA HCMM satellite follow-on investigation no. 025: Soil based on 1979 ESCS observations --- Alabam, Arkansas, Crust a I deformation at very long baseline interferometry moisture and heat budget evaluation in selected European California, Georgia. Illinois. Iowa, Louisiana, Minnesota. sites due to seasonal air-mass and ground water zones of agricultural and environmental interest (TELLUS Mississippi. Missouri. Nebraska. North Carolina. North variations p0186 N80-28809 Project! — Fiance. Germany. Italy. United Kingdom, and Dakota. Ohio. Pennsylvania. South Carolina, and Texas Heat capacity mapping mission project HCM-051 --- East the Benelux countries [E80-10292] p0177 N80-30860 Australian Current and the Tasman Front (E80-10332] . P0178 N80-32823 ASBESTOS [E80-10278] ' P0198 N80-30850 BIBLIOGRAPHIES Evaluation of MSS imagery over part of the AUTOMATIC WEATHER STATIONS Remote sensing of the ocean: Physical, chemical, and asbestos-barytes belt of south-western Cuddapah basin. Earth observation systems in Japan — for water resources geologic properties. Citations from the NT1S data base Andhra Pradesh, India pO191 A80-51089 study p0205 A80-51310 [PB80-811235] p0198 N80-30884 ASIA AVALANCHES Remote sensing of the ocean: Dynamics. Gtations from Eurasian snow cover extent • The NOAA satellite record. A multi-step method for avalanche zone recognition and the NTIS data base 1966-79 p0203 A80-51295 analysis — San Juan Mountains (co) p0193 N80-33824 (PB80-811243) P0199 N80-30885

A-2 SUBJECT IND£X CLASSIFICATIONS

Additions and corrections to the bibliography of geologic Estimates of the accuracy of the brightness conjunction Light reflectance, transmittance, and utilization within a studies. Columbia Plateau (Columbia River Basalt) and of multispectral photographs p0210 A80-49665 vegetative canopy --- Texas adjacent areas, in Idaho. 1980 Microwave radiometric determination of oceanographic [E80-10282] p0177 N80-30851 [RHO-BWI-C-68] p0192 N80-32013 and meteorological parameters p0223 A80-51579 Grizzly bear habitat analysis. Section 3: LANDSAT-1 Ocean wave sensing. Citations from the NTIS data A labeling technology for LANDSAT imagery multispectral imagery and computer analysis of grizzly bear base [E80-10293] p0219 N80-30861 habitat --- Slategoat. Scapegoat and Danaher areas. (PB80-812878) p0200 N80-34053 Development of Al procedures for dealing with the effects Montana BIOMASS of episodal events on crop temporal spectral response and [NASA-CR-163382] p0177 N80-30867 Remote sensing of total dry-matter accumulation in development of Al guidelines for corn and soybean labeling HCMM energy budget data as a model input for assessing winter wheat — Corn Belt regions of high potential groundwater pollution — South [EBO-10235] P0176 N80-29804 (E80-10327] P0178 N80-32818 Dakota On extracting brightness temperature maps from BIRDS [E80-10310] o0206 N80-328O6 scanning radiometer data — techniques for algorithm A continuation of base-line studies for environmentally Infrared-temperature variability in a large agricultural field design monitoring Space Transportation Systems (STS) at John — Dunnigan. California [NASA-TM-81989] p022 1 N80-32838 F. Kennedy Space Center. Volume 4: Threatened and (£80-10331) p0178 N80-32822 A 94/183 GHz multichannel radiometer for Convair endangered species of the Kennedy Space Center. Part flights Detection of hidden mineral deposits by airborne spectral 2: Threatened and endangered birds and other threatened | NASA-CR-160032] p0225 N80-33047 analysis of forest canopies and endangered forms The use of radiation temperature to detect water-stress [PB80-193881] p0193 N30-32845 (NASA-CR-163122-VOL-4-PT-2} p0183 N80-31970 in sugarcane crop — Brazil A model of plant canopy polarization response BUGHT (INPE-1767-TDL/028] p0179 N80-33839 [E80-10336] P0179 N80-33835 Aerial color infrared photography applications to BROWN WAVE EFFECT CAPE KENNEDY LAUNCH COMPLEX citriculture p0175 A80-51944 Remote sensing of total dry-matter accumulation in The environmental program at Kennedy Space Center - BLUE GREEN ALGAE winter wheat Baseline to monitoring pOlSI A80-51935 Comparative experimental study on the use of original [E80-10235] p0176 N80-29804 A continuation of base-line studies for environmentally and compressed multispectral LA NO SAT data for applied BUOYS monitoring space transportation systems at John F. Kennedy research Platform and buoy positioning experiments in the North Space Center. Volume 3. part 2: Ichthyologies! studies, [DFVLR-FB-80-03J p0220 N80-31865 Sea via Doppler satellite techniques p0197 A80-53691 sailfin molry reproduction study BONNE PROJECTION (NASA-CR-163122-VOL-3-PT-2] p0198 N80-28940 Bonne's projection of Meteosat images •-• subroutines A continuation of base-line studies for environmentally [CSIR-SR-FIS-201] p0222 N80-33837 monitoring Space Transportation Systems (STS) at John BORDERS F. Kennedy Space Center. Volume 4: Threatened and A method for edge detection in images of natural CALCIUM endangered species of the Kennedy Space Center. Part resources Geochemical balance of the Salgado River basin 2: Threatened and endangered birds and other threatened (INPE-1768-RPE/154] p0222 N80-33840 |INPE-1849-RPE/206] p0206 N80-32834 and endangered forms BOUNDARIES CALIBRATING (NASA-CR-163122-VOL-4-PT-2] pO183 N80-31970 Segmentation-based boundary modeling for natural The geometric calibration of multispectral photographic CELESTIAL GEODESY terrain scenes p0209 A80-44297 equipment p0186 A80-54024 A photogrammetric method of processing space BRAZIL CALIFORNIA photographs P0185 A80-46967 Brazil in space ••• space programs applications Ocean chlorophyll studies from a U-2 aircraft platform Optimal conditions for determining the coordinates of p0227 A80-52691 p0195 A80-45004 the earth's center of mass p0186 A80-54021 As-built design specification for the Brazil and China Satellite observations of a nutrient upwelling off the coast Satellite activities of NOAA. 1979 p0220 N80-31429 monthly data bases of California p0195 A80-45015 CENSUS [E80-10172] p0213 N80-28773 Identifying irrigated lands using remote sensing Mapping urbanized area expansion through digital image Crustal deformation at very long baseline interferometry techniques: State of the Art; Proceedings of the Symposium, processing of LANDSAT and conventional data — Orlando, sites due to seasonal air-mass and ground water Sioux Falls. S. Dak.. November 15. 16. 1979 Florida; Seattle. Washington: and Boston. Massachusetts variations p0186 N80-28809 P0174 A80-49136 (E80 10301) P0182 N80-30868 Classification of multispectral images according to Satellite remote sensing facility for oceanograhic CENTER OF MASS crosswise textural characteristics — Mato Grasso. Brazil applications Optimal conditions for determining the coordinates of [E80-10257) p0218 N80-30840 [NASA-CR-163363] p0197 N80-28847 the earth's center of mass p0186 A80-54021 Evaluating the reforested area for the municipality of Buri USGeological Survey sources of photographs and images CHAPARRAL by automatic analysis of LAND SAT imagery --- Sao Paulo. of biosphere reserves taken from spacecraft and aircraft. Application of remote sensing to selected problems within Brazil San Joaquin Experimental Range the state of California --- Mendocino. Colusa. and Shasta [E80-10258) P0176 N80-30841 [PB80-169295] p0192 N80-28852 Counties Study of the atmospheric effects on the radiation detected Geologic application of thermal inertia imaging using (E80-10326) p0183 N80-32817 by the sensor aboard orbiting platforms (ERTS/LANDSAT) HCMM data — Pisgah Crater. California and Walker Lake, CHINA — Ribeirao Preto and Brasilia, Brazil Nevada Test Sites Comparison of interpretations of radar images and space [E80-10259] p0218 N80-30842 (E80-10229] p0192 N80-29798 photographs of a high degree of generalization on the Use of LAND SAT data for estimating the area of sugar Use of collateral information to improve LANDSAT example of the Zarkainarskii intrusive massif /southern cane in the state of Sao Paulo — Brazil classification accuracies — Ventura County and Klamath Tien-Shan/ p0212 A80-52066 [E80-10260] P0177 N80-30843 National Forest. California As-built design specification for the Brazil and China Utilization of LANDSAT data to inventory the sugar cane (E60-10268) p0176 N80-29815 monthly data bases in the state of Sao Paulo AgRISTARS cropping practices and crop characteristics (E80-10172] p0213 N80-28773 [E80-10261) p0177 N80-30844 based on 1979 ESCS observations --- Arkansas, CHINESE SPACE PROGRAMS Collection, processing, and distribution of remote sensing California. Georgia. Illinois, Iowa. Louisiana. Minnesota. 'China space report /Based on observations made during data from Brazilian Receiving Station Mississippi. Missouri. Nebraska. North Carolina, North an invited tour with an AIAA delegation. November 1979/ |INPE-1784-RPE/156) p0221 N80-32832 Dakota. Ohio. Pennsylvania. South Carolina, and Texas — Book p0227 A80-53350 Planning and execution of a photographic mission over [EBO-10292] p0177 N80-30860 CHLOROPHYLLS a wheat producing region in Rio Grande do Sul, Brazil Investigation of the application of HCMM thermal data Ocean chlorophyll studies from a U-2 aircraft platform [INPE-1793-RPE/165] p0179 N80-32833 to snow hydrology — Salt-Verde watershed. Arizona and p0195 A80-45004 Geochemical balance of the Salgado River basin the Sierra Nevada Mountains, California Phytoplanxton pigments from the Nimbus-7 Coastal Zone [INPE-1849-RPE/206) p0206 N80-32834 [E80-10297] p0205 N80-30864 Color Scanner - Comparisons with surface measurements Characterization of Cerrado vegetation using Soil moisture in relation to geologic structure and p0197 A80-51491 automatically classified LANDSAT MSS data tithology, northern California Remote sensing of-total dry-matter accumulation in [INPE-1790-RPE/162] p0179 N80-32835 [E80-10298] p0192 N80-30865 winter wheat The use of LANDSAT data for evaluation and Irrigated lands assessment for water management (E80-10235) pO176 N80-29804 characterization of deforested pastureland and reforested Applications Pilot Test (APT) — California CITIES areas in Brazil [E80-10324) p0178 N80-32815 Spatial filtering of Landsat data for urban cartography (INPE-1794-RPE/166] p0179 N80-32836 Application of remote sensing to selected problems within p0185 A80-50892 Remote sensing applied to the prospecting of geothermal the state of California — Mendocino. Colusa. and Shasta Mapping urbanized area expansion through digital image anomaly in Caldas Novas County, State of Goias. Brazil Counties processing of LANDSAT and conventional data --- Orlando. [INPE-1792-RPE/164] p0193 N80-32837 |E 80 10326) P0183 N80-32817 Florida: Seattle, Washington; and Boston. Massachusetts Platform antennas for data collection Infrared-temperature variability in a large agricultural field (£80-10301) p0182 N80-30868 [INPE-1820-RPE/186] p0221 N80-33647 --- Dunnigan. California The influence of topographic structures on night-time The use of radiation temperature to detect water-stress (£80-10331] P0178 N80-32822 surface temperatures: Evaluation of a satellite thermal in sugarcane crop --- Brazil CAMERAS image of the upper Rhine plain and the surrounding (INPE-1767-TDL/028) p0179 N80-33839 The geometric calibration of multispectral photographic highlands — Germany and Switzerland Contributions of LANDSAT imagery to the geological equipment p0186 A80-54024 (E80-10228) pO179 N80-33829 mapping of the Rio do Grande Sul Shield --- Brazil CANADA CITRUS TREES [INPE-1838-RPE/199] p0193 N80-33842 Dynamical interpretation of satellite-sensed thermal Aerial color infrared photography applications to Coastal currents: Study of a model applied to the coast features off Vancouver Island pO195 A80-463I5 citriculture pO175 A80-51944 of Rio Grande do Sul latitude 29 deg south to 35 deg An automatic method of discriminating rock outcrops CLASSIFICATIONS south using Landsat data pOI91 A80-51094 Remotely sensed data processing techniques, present and [INPE-1841-RPE/201] pOZOO N80-33844 future pO209 A80-49138 The integrated analysis procedure for identification of BRIGHTNESS Inventory, mapping and evaluation of the agricultural spring small grains and barley --- Great Rains Corridor: As-built design specification for equiprobabilrty ellipses potential of soils - Status of studies and needs of remote U.S. and Canada representation of CLASSY clusters sensing pO175 A80-50877 (£80-10274) pO177 N80-30847 (E80-10320) p0221 N80-32812 The use of topology concepts for supervised and BRIGHTNESS TEMPERATURE CANOPIES (VEGETATION) unsupervised classifications --- of satellite images Microwave radiometric aircraft observations of the Simulation of solar radiation absorption in vegetation pO210 A80- 50891 Fabry-Perot interference fringes of an ice-water system canopies p0173 AS0-46451 Spatial filtering of Landsat data for urban cartography p0195 A80-44232 Soil water and plant canopy effects on remotely measured pOI 85 A80-50892 Evaluation of the fire hazard of taiga forests from their surface temperatures pO173 A80-47748 The cartography of Chize forest through remote thermal radio emission p0175 A80-49652 Cornell University remote sensing program --- New York sensing pO175 A80-5O90O Optical methods for the study of biocenoses on land State Determination of the spectral characteristics of soils and and sea pO201 A8O-49656 [E80-10280] p0227 N80-29823 vegetation pO211 A80-52059 A-3 CLAYS SUBJECT INDEX

Modifications to the CLASY program Coastal currents: Study of a model applied to the coast Digital image technology 1980: Emerging production (E80-10181J P0213 N80-28782 of Rio Grande do Sul latitude 29 deg south to 35 deg applications Classification with spectral-spatial-temporal archetypes south [AD-A085163] p0214 N80-28851 (E80-10251] P0217 N80-30834 [INPE-1841-RPE/2011 p0200 N80-33844 Final design specification for LARSYS As-built design specification for CLASY program COASTAL ECOLOGY modification/Fisher F-distribution thresholding modification Remote sensing of coastal environment and resources (E80-10210] p0215 N80-29789 [E80-10253] P0217 N80-30836 P0202 A80-51281 Remote sensing research studies As-built design specification for the COASTAL PLAINS (£80-10117) p0176 N80-30823 Patterson-Pitt-Thadani minimum loss classifier Assessment of cyclone-caused damage in Krishna delta Implementation specification for Large Area Crop (E80-10262] p0218 N80-30845 region using remotely sensed data p0204 A80-51301 Inventory Experiment (LACIE) phase 3 automatic status Maximal analysis labeling procedure (preliminary) and tracking system COASTAL RANGES(CA) [E80-10294] p0219 N80-30862 [E80-10249) 0217 N80-30832 Soil moisture in relation to geologic structure and P An exploratory study to develop a cluster-based area lithology, northern California User's guide Large Area Crop Inventory Experiment estimation procedure — Colorado. Kansas. Minnesota, [£80-10298] p0192 N80-30865 (LACIE) phase 3 POP 11/45 automatic status and tracking Nebraska. Texas. South Dakota. Oklahoma, and North system Dakota COASTAL WATER [E80-10256] p0217 N80-30839 [E80-10295] p0177 N80-30863 Some results of remote sensing in Yugoslavia Design specification for ERIPS fields data base deck Evaluating the use of analyst labels in maximum likelihood p019i A80-51091 conversion Landsat application to the study of coastal processes cluster proportion estimation [E80-10286] P0218 N80-30854 [E80-10303] p0219 N80-30870 P0203 A80-51292 As-built design specification for the CMAS image-100 Evaluation of Bayesian sequential proportion estimation Radar observations of wave transformations in the vicinity hybrid system. Volume 2: Detailed flow charts and program using analyst labels of islands p0196 A80-51408 listings, part 1 [E80-10304] p0219 N80-30871 Comparisons between wave directional spectra from SAR | E80-10289) p0218 N80-30857 As-built design specification of the CAMS/CAS interface and pressure sensor arrays p0196 A80-51409 As-built design specification for the CAMS image-100 tape report generation program for LACIE 8 Nimbus-7 coastal zone color scanner - System description hybrid system. Volume 3: Utilities and shared [E80-10306] p0219 N80-30872 and initial imagery p0197 A80-51490 subroutines As-built specification for CLASSY conversion Phytoplankton pigments from the Nimbus-7 Coastal Zone (E80-10290) p0218 N80-30858 [E80-10307] p0219 N80-30873 An exploratory study to develop a cluster-based area Color Scanner - Comparisons with surface measurements Analysis of scanner data for crop inventories estimation procedure --- Colorado. Kansas. Minnesota, p0197 A80-51491 [E80-10308] . p0219 N80-30874 Nebraska, Texas. South Dakota, Oklahoma, and North A hill-sliding strategy for initialization of Gaussian clusters Assessment of the role of remote sensing in the study Dakota in the multidimensional space of inland and coastal waters (E80-10295) p0177 N80-30863 (NASA-TM-807211 p0219 N80-31072 [NASA-TM-81881] p0200 N80-34O48 Evaluation of remote sensing techniques on selected Comparative experimental study on the use of original COASTS forest sites in Florida --- Fort Myers and Gainesville test and compressed multispectral LAND SAT data for applied The use of space data for the mapping of coastal areas sites research p0185 A80-45297 [E80-10296] p0177 N80-32805 [DFVLR-F8-80-03] p0220 N80-31865 Tidal land mapping from Landsat p0185 A80-50896 As-built design specification for equiprobability ellipses As-built design specification for equ(probability ellipses Study of geological structure of Sicily and other Italian representation of CLASSY clusters representation of CLASSY clusters areas — Gulf of Orosei. Eastern Sardinia [E80-10320] p0221 N80-32812 (E80-10320] p0221 N80-32812 [E80-10299] P0192 N80-30866 A method for edge detection in images of natural As-built design specification for a list processing Remote sensing procedures for detecting and monitoring resources system various activities regulated by the Mobile District [INPE-1768-RPE/154] p0222 N80-33840 (£80-10325] p0221 N80-32816 [AD-A087584] p0206 N80-31973 Interactive digital image processing investigation, phase Utilization of spectral-spatial information in the 2 COLOR classification of imagery data (AD-A087518] p0222 N80-33848 IE80-10321] p0222 N80-33832 A color plotter system and its applications in geoscience p0209 A80-49099 COMPUTER PROGRAMS Interactive digital image processing investigation, phase Remotely sensed data processing techniques, present and 2 Design specification for color coded spectral plots future p0209 A80-49138 (AD A087518] p0222 N80-33848 [E80-10245] p0217 N80-30828 As-built specification for CCilBA processor program CLAYS COLOR PHOTOGRAPHY [E80-10168) p0212 N80-28769 Microwave radiometer measurements of soil moisture Aerial color infrared photography applications to As-built design specification for LACIE formatted dot content p0176 A80-53890 citriculture p0175 A80-51944 cards in EOD-LARSYS Simulation of reservoir and lake sedimentation Aerotriangulation control of large scale photography from [E80-10169] p0212 N80-28770 [PB80-182801] p0206 N80-31867 small scale photography As-built design specification for the Yield Estimation CLIMATE IPB80-161524] P0224 N80-28853 Subsystem (YES) operational Robertson phonological The Federal Plan for Meteorological Services and COLORADO model Supporting Research, fiscal year 1981 As-buitt design specification for phase 3 model areas [E80-10170] o0212 N80-28771 [PB80-199482] p0228 N80-34041 added to the monthly data base of the US --- Montana, As-built design specification for the 1-100 tape read CLIMATOLOGY South Dakota, Oklahoma. Nebraska, and Colorado consolidation program (FULOI) The global 2000 report to the president. Entering the (E80-10263] p0218 N80-30846 (£80-10171) p0213 N80-28772 twenty-first century. Volume 2: The technical report --• An exploratory study to develop a cluster-based area Final design specification for EOD- LARSYS/statistics and trends in population, climate, gross national product, earth estimation procedure — Colorado. Kansas. Minnesota. data transformation processors modification resources, technology, and man environment interactions Nebraska. Texas. South Dakota. Oklahoma, and North [E80-10173] p0213 N80-28774 P0228 N80-32296 Dakota As-built design specification for EOD-LARSYS procedure Seasat. Volume 2: Flight systems (E80-10295) p0177 N80-30863 1 [NASA-CR-163571] p0199 N80-32829 A multi-step method for avalanche zone recognition and [E80-10174] p0213 N80-28775 CLOUD COVER analysis — San Juan Mountains (co) p0193 N80-33824 As-buitt design specification for LACIE phase 3 automatic The appearance of the Main Ural Fault in a cloud field COLUMBIA RIVER BASIN (ID-OR-WA) status and tracking system on space photographs p0189 A80-49664 The Columbia River and Tributaries Irrigation Withdrawals [E80-10175) p0213 N80-28776 Estimates of the accuracy of the brightness conjunction Analysis Project - Feasibility analysis and future plans Design specification for LARSYS procedure 1 follow-on of multispectral photographs pO210 A80-49665 p0174 A80-49141 [E80 10176] p0213 N80-28777 Florida water resources LANDSAT data as a basis for regional environmental Design specification for EOD-LARSYS/statistics and data |E80 10246] p0205 N80-30829 assessment within the Columbia Plateau transformation processors modification Development of techniques to specify cloudiness and [RHO-BWI-SA-43] p0183 N80-31862 [E80-10177] p0213 N80-28778 Additions and corrections to the bibliography of geologic rainfall rate using GOES imagery data Program documentation: Final design specification for studies, Columbia Plateau (Columbia River Basalt) and [AD-A084757) p0206 N80-33064 dot data base update deck conversion program (DOTDEC) adjacent areas, in Idaho. 1980 CLOUD PHOTOGRAPHY (E80-10178] p0213 N80-28779 Development of techniques to specify cloudiness and [RHO-BWI-C-68] p0192 N80-32013 COMMUNICATION SATELLITES Final design specification for ERIPS fields data base deck rainfall rate using GOES imagery data conversion [AD-AO84757] p0206 N80-33064 China space report /Based on observations made during an invited tour with an AIAA delegation. November 1979/ (E80-10179] p0213 N80-28780 The United States space observation policy — Book P0227 A80-53350 Detailed design specification for the Yield Estimation [NASA-TM-76373] p0228 N80-33425 COMMUNITIES Subsystem Data Management System (YESDAMS) CLOUD PHYSICS Effects of radar system parameters, population, and (E80-10180] p0213 N80-28781 Anomalous snowfall caused by natural-draft cooling environmental modulation on settlement visibility Modifications to the CLASY program towers P0181 A80-47746 [E80-10181] p0213 N80-28782 [RAND/N-t479-OOE] p0206 N80-32024 COMPUTER COMPATIBLE TAPES Program documentations: MARQTY1 .FTN, CLUMPS Overview of the Landsat system p0174 A80-49137 CAMDATA1.FTN As-built design specification for equ[probability ellipses US Geological Survey sources of photographs and images (E80-10182] P0213 N80-28783 representation of CLASSY clusters of biosphere reserves taken from spacecraft and aircraft, Design specification for dot data base update deck [E80-10320] p0221 N80-32812 San Joaquin Experimental Range conversion program (DOTDEC) As-built design specification for CCIT8 processor • [PB80-169295] p0192 N80-28852 [E80-10183] p0213 N80-28784 program A study of LANDSAT murtispectral scanner data tapes As-built design specification for Production Film --- corrected data and data restoration [E80-10323) p0221 N80-32814 Converter Gains And Biases program (PFCGAB) CLUTTER [RAE-TR-80018] p0220 N80-31864 [E80-10184] p0213 N80-28785 Operation plan for the High Density Tape/LANDSAT Vegetation clutter model p0173 A80-44262 LACIE/ phase 3 Adjustable Crop Calendar (ACC) COASTAL CURRENTS Imagery Verification and Extraction System (HOT/LIVES) data processing support configuration control procedures manual Satellite observations of a nutrient upwelling off the coast [E80-10186] P0213 N80-28786 of California p0195 A80-45015 [E80-10322] p0221 N80-32813 COMPUTER GRAPHICS Functional design specification for enhancement of the Observation of wavelike motion of the Gaspe Current A color plotter system and its applications in automatic status and tracking system software p0195 A80-46309 geoscience p0209 A80-49099 (E80-10190) p0214 N80-28788 Direct measurement of recirculation in the Alaskan Computer-assisted production of multi-coloured maps User's guide: Large Area Crop Inventory Experiment Stream p0195 A80-46316 p0209 A80-49521 (LACIE) phase 3 POP 11/45 automatic status and tracking Remote sensing of coastal environment and resources Basic topographic mapping - Renewal and revision system p0202 A80-51281 p0185 A80-50897 [E80-10194] pO214 N80-28791 A-4 SUBJECT INDEX COTTON

As-built design specification of the CAMS/CAS interface As-built design specification for scatter plots for direct CONFERENCES tape report generation program for LACIE 6A wheat Identifying irrigated lands using remote sensing [E80-I0196J p0214 N80-28793 (E80-10250) p0217 N80-30833 techniques: State of the Art; Proceedings of the Symposium, As-built design for enhancement of the automatic status As-built design specification for field statistics Sioux Falls. S. Oak.. November 15. 16. 1979 and tracking system software (FIELDSTAT) P0174 A80-49136 (E80-10197) p0214 N80-28794 (E8CM0252) p0217 N80-30835 Cartographic processing and analysis of satellite imagery: Design specification for LAP SYS procedure 1 As-built design specification for CLASY program International Conference. 3rd. Toulouse. France. June (E80-10199) p0214 N80-28796 modification 19-22. 1979. Proceedings p0185 A80-50876 [E80-10253) p0217 N80-30836 As-built design specification for POP 11/45 accuracy Remote sensing and mineral exploration: Proceedings Detail design specification for enhancement of. the assessment system of the Workshop. Bangalore. India. May 29-June 9. 1979 automatic status and tracking system software (E80-10200] p0214 N80-28797 p0189 A80-51076 [E80-10254) p0217 N80-30837 User documentation EOD-LARSYS Earth Observations Design specification for merge of 8TREAD. Phase 1 and The contribution of space observations to water resources Division version of the Laboratory for Applications of Remote Phase 2 accuracy assessment programs management: Proceedings of the Symposium. Bangalore. sensing system [E80-10255] p0217 N80-30838 India. May 29-June 9. 1979 p0201 A80-51278 [E80-10188] p0214 N80-29780 As-built design specification for the A new era in technology: Proceedings of the Seventeenth As-built design specification of the CAM/CAS interface Patterson-Pitt-Thadani minimum loss classifier Space Congress, Cocoa Beach, Fla.. April 30-May 2. tape report generation program for LACIE 7 [E80-10262] p0218 N80-30845 1980 p0210 A80-51926 [E80-10203] p0214 N80-29782 Statistical Outlier Detection (SOD): A computer program The 7th WMO Executive Com mine Inter-Government As-built design specification of the CAMS/CAS interlace for detecting outliers in data — AgRISTARS Project Panel Session on the First CARP Global Experiment tape report generation program [E80-10275) p0218 N80-30848 [GARP-SPEC-35) p0219 N80-31012 [E80-10204) p0215 N80-29783 User's guide for the Yield Estimation Subsystem Data CONGRESSIONAL REPORTS Design specification for secondary error sources Management System (YESDAMS) The Federal Plan for Meteorological Services and multi-temporal Bayes classifier [E80-10276] p0218 N80-30849 Supporting Research, fiscal year 1981 (E80-10205) p0215 N80-29784 Operator's guide for LACIE phase 3 automatic status [PB80-199482] p0228 N80-34041 Design specification for equiprobable blocks density and tracking system Operational remote sensing legislation, pan 1 estimatory/classifier/dot selector [E80-10284] p0218 N80-30852 (GPO-45-O48) p0228 N80-34294 Implementation specification document for merge of (E80-10206J P0215 N80-29785 Operational remote sensing legislation, part 2 BTREAD, phase 1. and phase 2 accuracy assessment As-built design specification for the CAMS image-100 [GPO-52-581] p0228 N80-34295 programs hybrid system. Volume 1: System design [E80-10285) p0218 N80-30853 CONIFERS [E80-10207] p0215 N80-29786 Simulation of solar radiation absorption in vegetation Design specification for ERIPS fields data base deck canopies p0173 A80-46451 As-built design specification for the CAMS image-100 conversion hybrid system. Volume 2: Detailed flow charts and program [E80-10286] p0218 N80-30854 Evaluation of the fire hazard of taiga forests from their listings Draft user procedures: Software wheat yield thermal radio emission p0175 A80-49652 [E80-10208] P0215 N80-29787 predictions/foreign equivalent test --- Kansas, Oklahoma, CONSERVATION As-built specification for CCIT7 processor program and Nebraska Satellite imagery and U.P. Himalayas and Siwalik — for (E80-10209) • p0215 N80-29788 [E80-10287] p0218 N80-30855 soil conservation p0204 A80-51304 Final design specification for LARSYS As-built design specification for the CM AS image-100 CONTINENTAL SHELVES modification/ Fisher F-distribution thresholding hybrid system. Volume 2: Detailed flow charts and program The use of space data for the mapping of coastal areas [E80-10210] P0215 N80-29789 listings, part 1 P0185 A80-45297 Final design specification for EOD-LARSYS/data [E80-10289] p0218 N80-30857 The Gulf Stream Meanders experiment: Current meter, transformation processor modification As-built design specification for the CAMS image-10O atmospheric, and sea level data report for the mooring [E80-10211] P0215 N80-29790 hybrid system. Volume 3: Utilities and shared period Final design specification for EOD-LARSYS procedure subroutines (AD-A088069) p0199 N80-33077 1 follow-on [E80-10290] p0218 N80-30858 Assessment of the role of remote sensing in the study [E80-10213] 00215 N80-29791 As-built design specification of the CAMS/CAS interface of inland and coastal waters Program documentation: As-built design specification tape report generation program for LACIE 8 INASA-TM-81881] p0200 N80-34048 for Generalized Linear Model Analysis Of Variance program (E80-10306] p0219 N80-30872 As-built specification for CLASSY conversion COORDINATES (GLMAOV) Impact of cell size on inventory and mapping errors in (E80-10307) p0219 N80-30873 [E80-10214) p0215 N80-29792 a cellular geographic information system A description of a system of programs for mathematically Design specification for LACIE formatted dot cards in [E80-10315] p0221 N80-33831 processing on unified series (YeS) computers photographic EOD-LARSYS CORN [E80-10215) p0215 N80-29793 images of the Earth taken from spacecraft [NASA-TM-76208] * p0220 N80-31856 Composition and assembly of a spectral data base for As-built design specification for Boundary Detection And corn and soybean multicrop segments --- Missouri. Registration Program (BDARP1) A multiprocessor implementation of a contextual image processing algorithm Nebraska. South Dakota. Wisconsin. Iowa. Illinois. [E80-10217) p0215 N80-29794 Mississippi. Indiana. Kentucky. Minnesota. Michigan, and As-built design specification for the Yield Estimation [E80-10313] p0221 N80-32808 An algorithm for estimating crop calendar shifts of spring Louisiana Subsystem {YES) monthly yield data base and supporting [E80-10281] p0176 N80-29824 programs small grains using LANDSAT spectral data Remote sensing research studies [E80-10218] p0215 N80-29795 [E80-10314) p0178 N80-32809 [E80-10117] p0176 N80-30823 Program documentation: MARQU1S2.FTN High Density Tape Reformatting System/LA NDSAT [E80-10220] p0215 N80-29796 Imagery Verification and Extraction System (HDTRS/ LIVES) Light reflectance, transmittance, and utilization within a Operational changes for the Kansas State University production test throughput analysis vegetative canopy --• Texas wheat model (E80-10319) p0221 N80-32811 [EBO-102821 p0177 N80-30851 (E80-10223] p0176 N80-29797 As-built design specification for equiprobability ellipses AgRISTARS cropping practices and crop characteristics Design specification for a merging program for formatted representation of CLASSY clusters based on 1979 ESCS observations — Arkansas. image data files [E80-10320] p0221 N80-32812 California. Georgia. Illinois. Iowa. Louisiana, Minnesota. (E80-10234) p0216 N80-29803 Operation plan for the High Density Tape/LANDSAT Mississippi. Missouri. Nebraska. North Carolina. North User manual for the Earth observations Division R and Imagery Verification and Extraction System (HOT/LIVES) Dakota. Ohio. Pennsylvania. South Carolina, and Texas D to OLPARS dot data conversion data processing support [E80-10292] p0177 N80-30860 [E80-10236) p0216 N80-29805 (E80-10322) p0221 N80-32813 Maximal analysis labeling procedure (preliminary) Project development plan for the LAND SAT Imagery As-built design specification for CCIT8 processor [E80-10294] p0219 N80-30862 program Verification and Extraction System (LIVES) Analysis of scanner data for crop inventories JE80-10323] p022V N80-32814 [E80-10238) p0216 N80-29807 [E80-10308] P0219 N80^30874 As-built design specification for a list processing Test plan for the LAND SAT Imagery Verification and Development of Al procedures for dealing with the effects system Extraction System (LIVES) of episodal events on crop temporal spectral response and [E80-10325] p0221 N80-32816 [E80-10239] P0216 N80-29808 development of Al guidelines for corn and soybean labeling Preliminary design specification for the LANDSAT Further developments of the TELL-US model. 1: An --- Corn Belt Imagery Verification and Extraction System (LIVES) implicit finite difference scheme for the numerical (E80-10327] p0178 N80-32818 [E80-10240] p0216 N80-298O9 approximation of the ground heat flux. 2: A simple A model of plant canopy polarization response As-built design specification for areas added to the algorithm for estimating the actual and potential [E80-10336] p0179 N80-33835 monthly bases of Texas. Minnesota and USSR evapotrainspiration of vegetated surfaces from one remotely [E80-10241] pO216 N80-29810 sensed surface temperature near the dairy maximum CORRELATION COEFFICIENTS As-built design specification for the India monthly data (E80-10333) p0178 N80-32824 Thematic mapper studies band correlation analysis (NASA-TM-80716) 0216 N80-29825 base Bonne's projection of Meteosat images --- subroutines P [E80-10264] p0216 N80-29811 ICSIR SR-FIS-201] pO222 N80-33837 COST ANALYSIS Remote sensing of wildland resources: A state-of-the-art Design specification for a list processing system COMPUTER SYSTEMS PROGRAMS [E80-10265] p0216 N80-29812 review As-built design specification for Metro data edit [PB80-184609] pO177 N80-30882 Development and evaluation of scatterometer data program processing algorithms [E80-10201] p0214 N80-29781 COST EFFECTIVENESS [E80-10266] p0216 N80-29813 Sensing the ocean environment from space COMPUTER TECHNIQUES Improved definition of cnjstal anomalies for Magsat pO196 A80-51485 Segmentation-based boundary modeling for natural data COTTON terrain scenes p0209 A80-44297 |E80 10270) pO192 N80-29817 Light reflectance, transmittance. and utilization within a As-built design specification for Boundary Detection And Computer-aided watershed analyses using remote vegetative canopy — Texas Registration Program (BDARP1) sensing based regional information systems [£80-10282] 00177 N80-30851 [E80 10216) pO217 N80-30824 p0204 A80-51299 AgR)STARS cropping practices and crop characteristics Forest resource information system, phase 3 — St. Regis Grizzly bear habitat analysis. Section 3: LANDSAT-1 based on 1979 ESCS observations — Arkansas. Paper Co.: Picayune, Mississippi muilispeciral imagery and computer analysis of grizzly bear California. Georgia. Illinois, Iowa, Louisiana. Minnesota. [E80-10242) pO176 N80-30825 habitat --- Slategoat, Scapegoat and Danaher areas. Mississippi. Missouri. Nebraska. North Carolina. North Detailed design specification for the automatic status Montana Dakota. Ohio. Pennsylvania, South Carolina, and Texas and tracking system modifications for LAOE procedure 1 [NASA-CR-163382J pO177 N80-30867 (E8O-10292] pO177 N80-30860 [E80-10243) p0217 N80-30826 COMPUTERIZED SIMULATION Irrigated lands assessment for water management Design specification for color coded spectral plots A muttispectral data simulation technique Applications Pilot Test (APT) — California [E80 10245) p0217 N80-30828 (E80-10311) pO221 N80-33830 (E80-10324] pO178 N80-32815 A-5 CROP GROWTH SUBJECT INDEX

Application of remote sensing to selected problems within As-built design specification for field statistics As-built design specification for the Yield Estimation the state °f California --- Mendoctno, Colusa, and Shasta tFlELDSTAT) Subsystem (YES) monthly yield data base and supporting Counties [E80-10252] P0217 N80-30835 progra ms [E80-10326] p0183 N80-32817 User's guide Large Area Crop Inventory Experiment [E80-10218] p0215 N80-29795 CROP GROWTH (LACIE) phase 3 POP 11/45 automatic status and tracking As-built design specification for the India monthly data LACIE field measurements data acquisition summary system base report, 1975 - 1976 crop year — Finney County. Kansas; [E80-10256] P0217 N80-30839 [E80-10264] p0216 N80-29811 Williams County. North Dakota: and Hand County. South Use of LANDSAT data for estimating the area of sugar Composition and assembly of a spectral data base for Dakota cane in the state of Sao Paulo — Brazil corn and soybean multicrop segments --- Missouri. [E80-10193] p0214 N80-28790 [E80-10260] p0177 N80-30843 Nebraska, South Dakota. Wisconsin. Iowa, Illinois. Use of soil moisture information in yield models Utilization of LANDSAT data to inventory the sugar cane Mississippi. Indiana. Kentucky. Minnesota. Michigan, and [680-10302] P0177 N80-30869 in the state of Sao Paulo Louisiana An algorithm for estimating crop calendar shifts of spring lEBO-10261] p0177 N80-30844 [E80-10281] p0176 N80-29824 small grains using LANDSAT spectral data Remote sensing research studies (E80-10314] p0178 N80-32809 As-built design specification for phase 3 model areas [E80-10117] p0176 N80-30823 The Federal Plan for Meteorological Services and added to the monthly data base of the US -— Montana. Detail design specification for enhancement of the Supporting Research. Fiscal year 1981 South Dakota, Oklahoma, Nebraska, and Colorado automatic status and tracking system software [PB80-199482] p0228 N80-34041 [E80-10263] P0218 N80-30846 [E80-10254] p0217 N80-30837 CROP IDENTIFICATION User's guide for the Yield Estimation Subsystem Data As-built design specification for phase 3 model areas Vegetation clutter model p0173 A80-44262 Management System (YESDAMS) added to the monthly data base of the US — Montana. Unsupervised classification of MSS Lands at data for [E80-10276] p0218 N80-30849 South Dakota. Oklahoma, Nebraska, and Colorado mapping spatially complex vegetation pO173 A80-47744 Draft user procedures: Software wheat yield [E80-10263] p0218 N80-30846 Separability of agricultural cover types in spectral predictions/foreign equivalent test — Kansas. Oklahoma, Application of thematic mapping techniques in terrain channels and wavelength regions p0173 A80-49100 and Nebraska analysis n Identify' 9 irrigated lands using remote sensing IE80-10287] P0218 N80-30855 IAD-A089061] p0222 N80-33847 techniques: State of the Art: Proceedings of the Symposium. An exploratory study to develop a cluster-based area DATA COLLECTION PLATFORMS Sioux Falls. S. Dak., November 15, 16. 1979* estimation procedure — Colorado, Kansas. Minnesota, Platform antennas for data collection p0174 A80-49136 Nebraska. Texas. South Dakota. Oklahoma, and North [INPE- 1820-RPE/186] p0221 N80-33647 A review of future remote sensing satellite capabilities Dakota DATA COMPRESSION p0174 A80-49139 [E80-10295] p0177 N80-30863 Application of high efficiency data compression and 2-D Irrigation mapping in western Kansas using Landsat. I - Evaluating the use of analyst labels in maximum likelihood digital filtering techniques to remote sensing data Key parameters p0174 A80-49142 cluster proportion estimation processing p0209 A80-47749 Program documentation: Final design specification for Comparative experimental study on the use of original [E80-10303] P0219 N80-30870 dot data base update deck conversion program (OOTDEC) and compressed multispectial LANDSAT data for applied [E80-10178] p0213 N80-28779 Evaluation of Bayesian sequential proportion estimation using analyst labels research LAO6 field measurements data acquisition summary (E80-10304] 0219 N80-3087 1 [DFVLR-FB-80-03] p0220 N80-31865 report, 1975 - 1976 crop year — Finney County. Kansas; P DATA CONVERSION ROUTINES WidiamS County, North Dakota: and Hand County, South As-built design specification of the CAMS/CAS interface User manual for the Earth observations Division R and tape report generation program for LACIE 8 D to OLPARS dot data conversion [E80-1Q193] p0214 N80-28790 [E80-10306] p0219 N80-30872 [E80-10236] p0216 N80-29805 Remote sensing research studies As-built specification for CLASSY conversion Detailed design specification for the automatic status IE80-10117J p0176 N80-30823 IE80-10307] p0219 N80-30873 and tracking system modifications for LACIE procedure 1 The integrated analysis procedure for identification of Analysis of scanner data for crop inventories [E80-10243] p0217 N80-30826 spring small grains and barley — Great Plains Corridor: [E80-10308] P0219 N80-30874 Implementation specification document for merge of U.S. and Canada An algorithm for estimating crop calendar shifts of spring BTREAD. phase 1. and phase 2 accuracy assessment (E80-10274] p0177 N80-30847 small grains using LANDSAT spectral data programs Light reflectance, trans mitt a nee, and utilization within a [E80-10314] p0178 N80-32809 [E80-10285] p0218 N80-30853 vegetative canopy — Texas As-built design specification for CCIT8 processor Design specification for ERIPS fields data base deck [E80-10282] p0177 N80-30851 program conversion Estimation of probabilities of label imperfections and [E80-10323] 0221 N80-32814 [E80-10286] p0218 N80-30854 correction of mislabels P Irrigated lands assessment for water management ' As-built specification for CLASSY conversion (E80-10288) p0218 N80-30856 Applications Pilot Test (APT) — California [E80-10307] P0219 N80-30873 Maximal analysis labeling procedure (preliminary) [E80-10324] p0178 N80-32815 A description of a system of programs for mathematically [E80-10294J p0219 N80-30862 processing on unified series (YeS) computers photographic Development of Al procedures for dealing with the effects Application of remote sensing to selected problems within images of the Earth taken from spacecraft of episodal events on crop temporal spectral response and the state of California — Mendocino, Colusa, and Shasta lNASA-TM-76208] 0220 N80-3I856 Counties P development of Al guidelines for corn and soybean labeling DATA CONVERTERS — Corn Belt [E80-10326] P0183 N80-32817 Design specification for merge of BTREAD. Phase 1 and [E80-10327] p0178 N80-32818 Planning and execution of a photographic mission over Phase 2 accuracy assessment programs Applied flemote Sensing Program (ARSP) --- Arizona a wheat producing region in Rio Grande do Sul. Brazil (£80-10255] pO217 N80-30838 [E80-10330] p0178 N80-32821 [INPE-1793-RPE/165] P0179 N80-32833 DATA MANAGEMENT A mode' of plant canopy polarization response CROP VIGOR Detailed design specification for the Yield Estimation [E80-10336] p0179 N80-33835 Remote sensing of total dry-matter accumulation in Subsystem Data Management System (YESDAMS) CROP INVENTORIES winter wheat [E80-10160] p0213 N80-28781 Invariant photometric features of natural objects [E80-10235] P0176 N80-29804 Detail design specification for enhancement of the p02U A80-52058 Cornell University remote sensing program — New York automatic status and tracking system software Errors incurred in estimating an area' of uniform land State [E80-10254] P0217 N80-30837 cover usinfl Landsat p0175 A80-53052 [E80-10280] p0227 N80-29823 User's guide for the Yield Estimation Subsystem Data CRUDE OIL Modifications to the CLASY program Management System (YESDAMS) Conversion of nitrogen oxide gases to nitrate particles IE80-101B1) p0213 N80-28782 [E80-10276] p0218 N80-30849 in oil refinery plumes p0181 A80-48534 Program documentations: MARQTY1.FTN. Operation plan for the High Density Tape/LANDSAT CRUSTAL FRACTURES Imagery Verification and Extraction System (HOT/LIVES) CAMDATA1.FTN The coordinated federal program for the application of [E80-10182] p0213 N80-28783 data processing support space technology to crustal dynamics and earthquake |E80-10322] p0221 N80-32813 LACIE field measurements data acquisition summary research report, 1975 - 1976 crop year — Finney County. Kansas: (NASA-TM-82215] p0187 N80-33999 DATA PROCESSING Unsupervised classification of MSS Landsat data for Williams County, North Dakota: and Hand County, South NASA plan for international crustal dynamics studies Dakota INASA-TM-82214] p0187 N80-340OO mapping spatially complex vegetation pOA73 A80-47744 (E80-10193) p0214 N80-28790 CYCLONES Application of high efficiency data compression and 2-D As-built design specification for POP 11/45 accuracy Assessment of cyclone-caused damage in Krishna delta digital filtering techniques to remote sensing data assessment system region using remotely sensed data p0204 A80-51301 processing p0209 A80-47749 tEBO-10200] p0214 N80-28797 Overview of the Landsat system p0174 A80-49137 Program documentation: MARQUIS2.FTN Remotely sensed data processing techniques, present and [E80-10220] p0215 N80-29796 future p0209 A80-49138 As-built design specification for the India monthly data Status and plans of SEO satellite and receiving station base DATA ACQUISITION P0190 A80-51079 [E80-10264] p0216 N80-29811 The use of space data for the mapping of coastal areas Investigation of the accuracy of transposition of landmarks Sampling of rectangular regions p0185 A80-45297 and contour points to small-scale aerial photographs [E80-10272] p0176 N80-29819 Substorm warnings - An ISEE-3 real time data system P0212 A80-53005 Composition and assembly of a spectral data base for p0209 A80-46225 Digital LANDSAT data analysis of Tennessee corn and soybean multicrop segments --- Missouri. Environmental data for sites in the National Solar Data [E80-10130] p0212 N80-28768 Nebraska. South Dakota. Wisconsin, Iowa, Illinois. Network As-built specification for CCitfiA processor program Mississippi, Indiana, Kentucky. Minnesota. Michigan, and [SOLAR/0010-80/021 p0220 N80-31975 [EBO-10168] p0212 N80-28769 As-built design specification for CCIT8 processor As-built design specification for LACIE formatted dot (E80-10281] P0176 N80-29824 program [E80-10323] 0221 N80-32814 cards in EOD-LARSYS Thematic mapper studies band correlation analysis P DATA BASES [E80-10169] p0212 N80-28770 [NASA-TM-80716J p0216 N80-29825 As-built design specification for the Brazil and China As-built design specification for the 1-100 tape read Detailed design specification fot the automatic status monthly data bases consolidation program (FULQl) and tracking system modifications for LACIE procedure 1 (E80-10172J p0213 N80-28773 (E80-10171] p0213 N80-28772 (E80-10243] p0217 N80-30826 Program documentation: Final design specification for Final design specificationforEOD-LARSYS/statisticsand As-built design specification for scatter plots for direct dot data base update deck conversion program (DOTOEC) data transformation processors modification wheat [E80-10178] P0213 N80-28779 [E80-10173] P0213 N80-28774 [E80-10250] p0217 N80-30833 Final design specification for ERIPS fields data base deck As-built design specification for LACIE phase 3 automatic Classification with spectra I-spatial-temporal archetypes conversion status and tracking system [E80-10251] p0217 N80-30834 [E80-10179] p0213 N80-28780 [E80-10175] p0213 N80-28776

A-6 SUBJECT INDEX DRAINAGE PATTERNS

Design specification for LARSYS procedure 1 follow-on User's guide Large Area Crop Inventory Experiment DEMOGRAPHY [E80-10176J p0213 N80-28777 (LACIE) phase 3 PDP 11/45 automatic status and tracking The global 2000 report to the president. Entering the Design specification for EOD-LARSYS/statistics and data system twenty-first century. Volume 2: The technical report transformation processors modification [E80-10256] p0217 N80-30839 trends in population, climate, gross national product, earth [E80-10177] p0213 N80-28778 Statistical Outlier Detection (SOD): A computer program resources, technology, and man environment interactions Program documentation: Final design specification for for detecting outliers in data — AgRISTARS Project p0228 N80-32296 dot data base update deck conversion program (DOTDEC) (E80-10275] p0218 N80-30848 DENMARK [E80-10178) p0213 N80-28779 Operator's guide for LACtE phase 3 automatic status HCMM satellite follow-on investigation no. 025: Soil Final design specification for ERI PS fields data base deck and tracking system moisture and heat budget evaluation in selected European conversion [E80-10284] pO218 N80-30852 zones of agricultural and environmental interest (TELLUS [E80-10179) p0213 N80-28780 Draft user procedures: Software wheat yield Project) — France. Germany. Italy. United Kingdom, and Program documentations: M ARQTY1 .FTN, predictions/foreign equivalent test --- Kansas. Oklahoma, the Benelux countries CAMDATA1.FTN and Nebraska (E80 10332) p0178 N80-32823 [E80-10182J p0213 N80-28783 [E80-10287] pO218 N80-30855 DESERTS Comparative experimental study on the use of original Design specification for dot data base update deck As-built design specification of the CAMS/CAS interface conversion program (DOTDEC) tape report generation program for LACIE 8 and compressed multispectral LANDSAT data for applied research [E80-10183] p0213 N80-28784 [E80-10306] p0219 N80-30872 [DFVLR-FB-80-03] p0220 N80-31865 LACIE/phase 3 Adjustable Crop Calendar (ACC) Analysis of scanner data for crop inventories configuration control procedures manual [E80-10308] p0219 N80-30874 DICKC RADIOMETERS The development of a stepped frequency microwave (E80-10186) p0213 N80-28786 Remote sensing of wildland resources: A state-of-the-art review radiometer and its application to remote sensing of the Functional design specification for enhancement of the Earth [PB80-184609] p0177 N80-30882 automatic status and tracking system software [NASA-TM-81847] p0224 N80-28637 [E80-10190] p0214 N80-28788 The 7th WMO Executive Commirte Inter-Government The development of a stepped frequency microwave Panel Session on the First GARP Global Experiment User's guide: Large Area Crop Inventory Experiment radiometer and its application to remote sensing of the (LACIE) phase 3 PDF 11/45 automatic status and tracking [GARP-SPEC-35] p0219 N80-31012 Earth p0224 N80-30822 system A hill-sliding strategy for initialization of Gaussian clusters DIFFRACTION PATTERNS (E80-10194) p0214 N80-28791 in the multidimensional space Microwave radiometric aircraft observations of the A statistical test procedure for detecting multiple outliers (NASA-TM-80721] p0219 N80-31072 Fabry-Perot interference fringes of an ice-water system in a data set A description of a system of programs for mathematically p0195 A80-44232 [E80-10195] p0214 N80-28792 processing on unified series (YeS) computers photographic DIFFUSE RADIATION As-built design specification of the CAMS/CAS interface images of the Earth taken from spacecraft The contribution of the diffuse light component to the tape report generation program for LACIE 6A [NASA-TM-76208] p0220 N80-31856 (E80-10196) p0214 N80-28793 topographic effect on remotely sensed data Seasat-A land applications data processing plan (NASA-TM-80728) p0186 N80-30876 As-built design for enhancement of the automatic status [E80-10317] p0221 N80-32810 and tracking system software DIGITAL DATA High Density Tape Reformatting System/LANDSAT (£80-10197) 0214 N80-28794 Digital LANDSAT data analysis of Tennessee P Imagery Verification and Extraction System (HDTRS/ LIVES) Design specification for LA R SYS procedure 1 [E80-10130] p0212 N80-28768 production test throughput analysis [E80-10199) 0214 N80-28796 Digital image technology 1980: Emerging production P [E80-10319] p0221 N80-32811 As-built design specification for PDP 11/45 accuracy applications assessment system As-buirt design specification for CCIT8 processor [AD-A085163] p0214 N80-28851 program [E80-10200] p0214 N80-28797 Development and evaluation of scatterometer data [E80-10323] p0221 N80-32814 Satellite remote sensing facility for oceanograhic processing algorithms applications Collection, processing, and distribution of remote sensing [E80-10266] p0216 N80-29813 data from Brazilian Receiving Station [NASA-CR-163363] p0197 N80-2B847 Use of LANDSAT data for estimating the area of sugar [INPE-17&4-RPE/156] p0221 N80-32832 User documentation EOD-LARSYS Earth Observations cane in the state of Sao Paulo — Brazil Division version of the Laboratory for Applications of Remote On extracting brightness temperature maps from [E80-10260] P0177 N80-30843 sensing system scanning radiometer data --- techniques for algorithm Seasat-A land applications data processing plan [E80-10188] 0214 N80-29780 design P (EBO-10317] p0221 N80-32810 As-built design specification for Metro data edit (NASA-TM-81989] p0221 N80-32838 Using LANDSAT digital data for estimating green biomass program Impact of cell size on inventory and mapping errors in -— Throckmorton. Texas test site and Great Plans Corridor, [E80-10201] p0214 N80-29781 a cellular geographic information system US As-built design specification of the CAM/CAS interface [E80-10315] p0221 N80-33831 tape report generation program for LACIE 7 [E80-10328] p0178 N80-32819 DATA REDUCTION A quantitative evaluation of LANDSAT for monitoring [E80-10203] p0214 N80-29782 Contribution of Landsat data to the objectives of the suspended sediments in a fluvial channel As-built design specification of the CAMS/CAS interface geological survey of India p0189 A80-51077 tape report generation program p0206 N80-33823 Improvement of the Earth's gravity fietd from terrestrial [E80-10204] p0215 N80-29783 DIGITAL FILTERS As-built specification for CCIT7 processor program and satellite data Application of high efficiency data compression and 2-D [E80-10271) p0186 N80-29818 [E80-10209] p0215 N80-29788 digital filtering techniques to remote sensing data Final design specification for EOD-LARSYS/data DATA RETRIEVAL processing p0209 A80-47749 transformation processor modification The availability of U.S. environmental satellite data to Digital filtering of LANDSAT images as a visual aid [E80-10211] p0215 N80-29790 the marine technology community p0197 A80-53683 technique in geological photointerpretation Design specification for LACIE formatted dot cards in DATA SAMPLING [INPE-1823-RPE/189] p0193 N80-33843 EOD-LARSYS Applications of statistics to thematic mapping DIGITAL SYSTEMS (E80-10215] p0215 N80-29793 P0186 A80-53051 Interactive digital image processing investigation, phase As-built design specification for Boundary Detection And DATA SYSTEMS 2 Registration Program (BDARP1) Concept of a research aircraft for remote sensing, using [AD-AO'87518] p0222 N80-33848 [E80-10217] p0215 N80-29794 an integrated sensor/data system DIGITAL TECHNIQUES Project development plan for the LA NO SAT Imagery [DGLR PAPER 80-051] p0227 A80-46300 Tidal land mapping from Landsat p0185 A80-50896 Verification and Extraction System (LIVES) Characteristics of the Landsat system and data for Classification of multispectral images according to [E80-10238] p0216 N80-29807 geologic applications - Availability of data crosswise textural characteristics --- Mato Grasso, Brazil Test plan for the LA NO SAT Imagery Verification and p0190 A80-51078 (E80-10257] p0218 N80-30840 Extraction System (LIVES) DATA TRANSMISSION Errors in-automatic pass point mensuration using.digital (E80-10239] P0216 N80-29808 A telemechanical system for hydrophysical studies in the techniques Preliminary design specification for the LANDSAT ocean p0223 A80-45766 [AD-A087443] p0220 N80-31859 Imagery Verification and Extraction System (LIVES) A method for edge detection in images of natural Space observations for water resources - A potential to (E80-10240] 0216 N80-29809 resources P be developed p0201 A80-51279 Development and evaluation of scatterometer data [INPE-1768-RPE/154] p0222 N80-3384O processing algorithms Landsat-0 - Overview and implications DISPLAY DEVICES (£80-10266) p0216 N80-29813 p0224 A80-53609 Cartographic display of space information - The different EOD systems and facilities workload requirements Evaluation of remote hydrologic data-acquisition systems, methods available at IGN p0210 A80-50879 forecast west-central Florida DISTRICT OF COLUMBIA [E80-10277] p0176 N80-29821 [PB80-176951) p0205 N80-29832 Computer-aided watershed analyses using remote Remote sensing research studies DEER sensing based regional information systems IE80-10117] pO176 N80-30823 Application of remote sensing to state and regional p0204 A80-51299 As-built design specification for Boundary Detection And problems — Mississippi DIURNAL VARIATIONS Registration Program (BDARP1) 1E80-10338] pO183 N80-32826 Diurnal behavior of the spectral reflectivity of vegetation [E80-10216] p0217 N80-30824 DEFORESTATION and soils p0211 A80-52057 Forest resource information system, phase 3 — St. Regis The use of LANDSAT data for evaluation and Investigations of medium wavelength magnetic Paper Co.: Picayune. Mississippi characterization of deforested pastureland and reforested anomalies in the eastern Pacific using Magsat data [E80-10242] p0176 N80-30825 areas in Brazil [E80-10334] p0199 N80-33833 High Density Tape Reformatting System/LANDSAT [INPE-1794-RPE/166] p0179 N80-32836 DOPPLER EFFECT imagery verification and Extraction System (HDTRS/UVES) DEFORMATION Platform and buoy positioning experiments in the North throughput analysis Crustal deformation at very long baseline interferometry Sea via Doppler satellite techniques p0197 A80-53691 [E80-10248] p0217 N80-30831 sites due to seasonal air-mass and ground water DRAINAGE Implementation specification for Large Area Crop variations p0186 N80-28809 Geologic application of thermal-inertia mapping from Inventory Experiment (LACIE) phase 3 automatic status satellite --- Powder River Basin, Wyoming and tracking system DELAWARE BAY (US) [E8O-10230] pO192 N80-29799 (E80-10249) pO217 N80-30832 Applications of HCMM data to soil moisture snow and DRAINAGE PATTERNS Detail design specification for enhancement of the estuarine current studies — Cooper River and Delaware Use of satellite imagery for the derivation of the automatic status and tracking system software Bay hydrogeologic characteristics of a test area in semiarid [E8O-10254] pO217 N80-30837 (E80-10269) p0205 N80-29816 climates pO202 A8O-51284 Design specification for merge of BTREAD, Phase 1 and DELTAS Cornell University remote sensing program -— New York Phase 2 accuracy assessment programs Assessment of cyclone-caused damage in Krishna delta State [E80-10255] P0217 N80-30838 region using remotely sensed data pO2O4 A80-51301 (EBO-10280) p0227 N80-29823 A-7 EARTH (PLANET) SUBJECT INDEX

Irrigated lands assessment for water management ECOSYSTEMS A continuation of base-line studies for environmentally Applications Pilot Test (APT) — California Satellite observations of a nutrient upwelling off the coast monitoring Space Transportation Systems (STS) at John [E80-10324} p0178 N80-32815 of California p0195 A80-45015 F. Kennedy Space Center. Volume 4: Threatened and The application of remote sensing to resource Grizzly bear habitat analysis. Section 3: LANDSAT-1 endangered species of the Kennedy Space Center. Part management and environmental quality programs in Kansas multispectral imagery and computer analysis of grizzly bear 2: Threatened and endangered birds and other threatened — kansas: roy's and phony creeks watersheds; the proposed habitat •-- Slategoat, Scapegoat and Danaher areas. and endangered forms tallgrass prairie national park and pin ford lake, missouri. Montana (NASA-CR-1631 22-VOL-4-PT-2] p0183 N80-31970 [E80-10337] P0183 N80-32825 (NASA-CR-163382) p0177 N80-30867 Satellite monitoring of sea surface pollution •-- Irish and A watershed information system p0207 N80-33825 EDITING ROUTINES (COMPUTERS) north seas As-built design specification for Metro data edit [E80-10329] P0199 N80-32820 program The application of remote sensing to resource [E80-10201J p0214 N80-29781 management and environmental quality programs in Kansas --- kansas; roy's and phony creeks watersheds: the proposed ELLIPSES tallgrass prairie national park and pin ford lake, missouri, EARTH (PLANET) As-built design specification for equiprobability ellipses [E80-10337] pO!83 N80-32825 Optimal conditions for determining the coordinates of representation of CLASSY clusters Application of remote sensing to state and regional the earth's center of mass p0186 A80-54021 [E80-103201 p0221 N80-32812 problems --- Mississippi EARTH CRUST EMISSIVITY Crustal deformation at very long baseline interferometry [E80-10338] p0183 N80-32826 Development of a soil moisture model for use with passive The applicability of remote sensing to Earth biological sites due to seasonal air-mass and ground water microwave remote sensors pOI 79 N80-33828 variations p0186 N80-28809 problems. Part 2: The potential of remote sensing in ENERGY BUDGETS pest management Satellite Emission Radio Interferometric Earth Surveying Defining relationships between surface characteristics (SERIES) — astrometry p0186 N80-28838 [NASA-CR-163589] p0178 N80-32830 and actual evaporation rate Improved definition of crustal anomalies for Magsat Platform antennas for data collection [E80-10335] p0207 N80-33834 [INPE-1820-RPE/186] 0221 N80-33647 data P [E80-10270] P0192 N80-29817 ENGLAND Private sector involvement in civil space remote sensing. Investigations of medium wavelength magnetic The application of remote sensing to environmental Volume 1: Report anomalies in the eastern Pacific using Magsat data management p0181 A80-47750 [NASA-TM-82206] p0228 N80-33845 [E80-10334] p0199 N80-33833 ENGLISH CHANNEL Private sector involvement in civil space remote sensing. NASA plan for international crustal dynamics studies The geomorphology of Mont-Saint-Michel Bay studied Volume 2: Appendices [NASA-TM-82214] p0187 N80-340OO from the remote sensing of instantaneous shorelines [NASA-TM-82207] p0228 N80-33846 EARTH MANTLE P0201 A80-50899 The Federal Plan for Meteorological Services and Altimetry data over trenches and island-arcs and ENVIRONMENT MANAGEMENT Supporting Research, fiscal year 1981 convection in the mantle Effects of radar system parameters, population, and [PB80-199482] p0228 N80-34041 [NASA-CR-163516] p0199 N80-32050 environmental modulation on settlement visibility EROSION Investigations of medium wavelength magnetic p0181 A80-47746 The Mesozoic and Cenozoic depressions of the Baikalo-Amur region from the interpretation of space anomalies in the eastern Pacific using Magsat data The application of remote sensing to environmental photographs p0189 A80-49654 [E80-10334] D0199 N80-33833 management p0181 A80-47750 EARTH MOVEMENTS Satellite imagery and U.P. Himalayas and Siwalik — for The global 2000 report to the president. Entering the soil conservation p0204 A80-51304 The coordinated federal program for the application of twenty-first century, volume 1 p0228 N80-32295 space technology to crustal dynamics and earthquake The application of remote sensing to resource ENVIRONMENT MODELS management and environmental quality programs in Kansas research Simulation of reservoir and lake sedimentation [NASA-TM-82215] p0187 N80-33999 --- kansas: roy's and phony creeks watersheds: the proposed [PB80-182801] p0206 N80-31867 NASA plan for international crustal dynamics studies tallgrass prairie national park and pin ford lake, missouri. (NASA-TM-82214) p0187 N80-34000 ENVIRONMENTAL MONITORING [E80-10337] p0183 N80-32825 EARTH OBSERVATIONS (FROM SPACE) Nonzero subsurface irradiance reflectance at 670 nm from Application of remote sensing to state and regional Space law • A new proposal p0227 A80-45575 Lake Ontario water masses p0201 A80-45428 problems --- Mississippi Soil water and plant canopy effects on remotely measured Soil water and plant canopy effects on remotely measured [E80-10338] P0183 N80-32826 surface temperatures p0173 A80-47748 surface temperatures p0173 A80-47748 ERROR ANALYSIS Overview of the Landsat system p0174 A80-49137 Fluorescence lidar --- for remote sensing of environments Investigation of the accuracy of transposition of landmarks Laser studies of the atmosphere and underlying surface and atmospheric constituents p0181 A80-48908 and contour points to small-scale aerial photographs --- Russian book p0182 A80-53131 p0212 A80-53005 Development of a pulsed 9.5 micron lidar for regional Errors incurred in estimating an area of uniform land Private sector involvement in civil space remote sensing. scale 03 measurement p0181 A80-48909 Volume 1: Report cover using Landsat p0175 A80-53052 Large fietd-of-view interferometers for environmental Estimation of probabilities of label imperfections and [NASA-TM-82206] p0228 N80-33845 sensing p0223 A80-48911 Private sector involvement in civil space remote sensing. correction of mislabels Evaluation of the fire hazard of taiga forests from their [E80-10288] p0218 N80-30856 Volume 2: Appendices thermal radio emission p0175 A80-49652 [NASA-TM-82207] p0228 N80-33846 ERROR DETECTION CODES EARTH RESOURCES Earth observation from space today and tomorrow Errors in automatic pass point mensuration using digital The global 2000 report to the president. Entering the p0227 A80-50280 techniques twenty-first century, volume 1 p0228 N80-32295 Sensing the ocean environment from space [AD-A087443] p0220 N80-31859 EARTH SURFACE p0196 A80-51485 Impact of cell size on inventory and mapping errors in A photogrammetric method of processing space A new era in technology: Proceedings of the Seventeenth a cellular geographic information system photographs p0185 A80-46967 Space Congress. Cocoa Beach, Fla.. April 30-May 2. (E80-10315] p0221 N80-33831 Satellite temperature monitoring and prediction system 1980 p0210 A80-51926 ESTUARIES P0211 A80-51943 The environmental program at Kennedy Space Center - The use of space data for the mapping of coastal areas Airborne thermal viewer having a circular scanner viewing Baseline to monitoring p0181 A80-51935 p0185 A80-45297 axis P0223 A80-52046 Satellite temperature monitoring and prediction system Remote sensing of coastal environment and resources Invariant photometric features of natural objects p021 1 A80-51943 p0202 A80-51281 P0211 A80-52058 Experiment aimed at standardizing anthropogenic Applications of HCMM data to soil moisture snow and Practical aspects of radiative correction of multispectral changes of the natural environment from satellite and aerial estuarine current studies — Cooper River and Delaware video information p0211 A80-52060 photographs p0211 A80-52056 Bay Smoke as a quantitative atmospheric diffusion tracer Optical spatial-frequency characteristic of the atmosphere [E80-10269] p0205 N80-29816 and its applications -— atmospheric scattering earth surface p0182 A80-53265 An investigation of vegetation and other Earth image distortion p0212 A80-52061 The availability of U.S. environmental satellite data to resource/feature parameters using LANDSAT and other Analytical geographic gridding of natural objects from the marine technology community p0197 A80-53683 Digital LANDSAT data analysis of Tennessee remote sensing data. 1: LANDSAT, 2: Remote sensing aerial and satellite multispectral scanner images of volcanic emissions --- Lower Hudson River estuary: p0212 A80-52064 [E80-10130] p0212 N80-28768 As-built design specification for the Brazil and China Maine: White Mountain National Forest. New Hampshire: Distortion of satellite photographs obtained by scanning monthly data bases Ml. St. Helens and Metsachee Creek, Washington; and the systems p0212 A80-52065 [E80-10172] p0213 N80-28773 Santiaguito and Feugo volcanoes, Guatemala Laser studies of the atmosphere and underlying surface Satellite remote sensing facility for oceanograhic [E80-10312] . p0225 N80-32807 — Russian book p0182 A80-53131 applications EUROPE An automated aerial-photographic informal ion-search I NASA-CR-163363] p0197 N80-28847 A method for mapping soil reflectance system p0186 A80-54023 A continuation of base-line studies for environmentally P0175 A80-49655 The geometric calibration of multispectral photographic monitoring space transportation systems at John F, Kennedy Automatic mapping of snow cover by means of Landsat equipment p0186 A80-54024 Space Center. Volume 3. part 1: Ichthyological survey Application to the central Pyrenees p0185 A80-50888 The use of space photographic data for the study and of lagoonal waters — Indian River lagoon system L-band radar and geology - Some results in south-east mapping of anthropogenic landscapes p0186 A80-54025 [NASA-CR-163122-VOL-3-PT-1] p0197 N80-28939 of France p0191 A80-51095 EARTHQUAKES A continuation of base-line studies for environmentally Eurasian snow cover extent - The NOAA satellite record, Satellite Emission Radio Interferometric Earth Surveying monitoring space transportation systems at John F. Kennedy 1966-79 p0203 A80-51295 Space Center. Volume 3. part 2: Ichthyological studies, (SERIES) — astrometry pO186 N80-28838 Microwave emission properties of snow for monitoring sailfin molly reproduction study NASA geodetic applications of the Mark 3 VLEI hydrological parameters p0203 A80-51297 [NASA-CR-163122-VOL-3-PT-2] p0198 N80-28940 system p0186 N80-28841 Cornell University remote sensing program — New York Application Explorer Mission-A heat capacity mapping The coordinated federal program for the application of State mission --- Bavaria Germany and Marrakech. Morocco space technology to crustal dynamics and earthquake [E80-10280] p0227 N80-29823 (E80-10309] P0219 N80-30875 research The 7th WMO Executive Committe Inter-Government HCMM satellite follow-on investigation no. 025: Soil [NASA-TM-82215] p0187 N80-33999 Panel Session on the First GARP Global Experiment moisture and heat budget evaluation in selected European ECOLOGY [GARP-SPEC-35] p0219 N80-31012 zones of agricultural and environmental interest (TELLUS The global 2000 report to the president. Entering the Satellite activities of NOAA. 1979 p0220 N80-31429 Project) — France. Germany, Italy, United Kingdom, and twenty-first century, volume 1 p0228 N80-32295 A continuation of base-line studies for environmentally the Benelux countries The global 20OO report to the president. Entering the monitoring Space Transportation Systems (STS) at John [E80-10332] P0178 N80-32823 twenty-first century. Volume 2: The technical report --- F. Kennedy Space Center. Volume 4: Threatened and EUTROPHICATION trends in population, climate, gross national product, earth endangered species of the Kennedy Space Center. Part Assessment of the role of remote sensing in the study resources technology and man environment interactions 1: Marine turtle studies of inland and coastal waters pO228 N80-32296 [NASA-CR-163122-VOL-4-PT-1] p0183 N80-31969 [NASA-TM-81881] p0200 N80-34048 A 8 SUBJECT INDEX FRONTS (METEOROLOGY)

EVAPORATION RATE A continuation of base-line studies for environmentally Cornell University remote sensing program --- New York Defining relationships between surface characteristics monitoring space transportation systems at John F. Kennedy State and actual evaporation rate Space Center. Volume 3, part 2: Ichthvological studies, [E80-102801 P0227 N80-29823 (E80-10335] P0207 N80-33834 sailtin molly reproduction study Forest resource information system, phase 3 — St. Regis EVAPORATIVE COOUNG (NASA-CR-163122-VOL-3-PT-2] p0198 N80-28940 Paper Co.: Picayune. Mississippi Anomalous snowfall caused by natural-draft cooling FLOOD DAMAGE [E80-10242] p0176 N80-30825 towers Study of Kosi river characteristics using airborne/space The use of LANDSAT data for evaluation and [RAND/N-1479-DOEJ p0206 N80-32024 orbital multispectral scanner data p0204 A80-51302 characterization of deforested pastureland and reforested FLOOD PLAINS EVAPOTRANSPIRATION areas in Brazil Applications to floods of remote sensing from satellites [INPE-1794-RPE/166) p0179 N80-32836 The contribution of space observations to water resources D0204 A80-51300 A watershed information system p0207 N80-33825 management: Proceedings of the Symposium, Bangalore, Study of Kosi river characteristics using airborne/space India. May 29-June 9. 1979 pO201 A80-51278 orbital multispectral scanner data p0204 A80-51302 FORESTS Remote sensing applications in hydrometeorology Floodplains mapping of Gangetic basin using Landsat Evaluation of the fire hazard of taiga forests from their p0202 A80-51283 imagery p0204 A80-51303 thermal radio emission p0175 A80-49652 Use of satellite imagery for the derivation of the The influence of topographic structures on night-time Optical methods for the study of biocenoses on land hydrogeologic characteristics oi a test area in semiarid surface temperatures: Evaluation of a satellite thermal and sea p0201 A80-49656 climates p0202 A80-51284 image of the upper Rhine plain and the surrounding The cartography of Chize forest through remote Florida watei resources highlands --- Germany and Switzerland sensing p0175 A80-50900 IE80-10246] pQ205 N80-30829 (E80-10228) p0179 N80-33829 Use of collateral information to improve LANDSAT Use of soil moisture information in yield models FLOOD PREDICTIONS classification accuracies --- Ventura County and Klamath [E80-10302] p0177 N80-30869 The use of space data for the prediction of mountain-river National Forest. California flooding in Siberia p0201 A80-49653 HCMM satellite follow-on investigation no. 025: Soil [E80-10268) P0176 N80-29815 FLOODS moisture and heat budget evaluation in selected European EOD systems and facilities workload requirements The contribution of space observations to water resources zones of agricultural and environmental interest (TELLUS forecast management: Proceedings of the Symposium, Bangalore, Project) -•• France, Germany. Italy. United Kingdom, and [E80-10277J p0176 N80-29821 India, May 29-June 9. 1979 p0201 A80-51278 the Benelux countries Evaluating the reforested area for the municipality of Buri Satellite data for the solution of problems of land [E80-10332] pOl78 N80-32823 by automatic analysis of LANDSAT imagery — Sao Paulo. hydrology p0202 A80-51282 Brazil Further developments of the TELL-US model. 1: An Applications to floods of remote sensing from satellites |E80-10258l p0176 N80-30841 implicit finite difference scheme for the numerical p0204 A80-51300 approximation of the ground heat flux. 2: A simple Study of floods in Bangladesh and India with the help Grizzly bear habitat analysis. Section 3: LANDSAT-1 algorithm for estimating the actual and potential of meteorological satellites p0204 A80-51306 multispectral imagery and computer analysis of grizzly bear evapotranspiration of vegetated surfaces from one remotely Indian remote sensing satellite program and its habitat •-- Slategoat. Scapegoat and Danaher areas. sensed surface temperature near the dairy maximum contribution to water resources management Montana [E80-10333] pOl78 N80-32824 p0204 A80-51307 {NASA-CR-163382] p0177 N80-30867 Defining relationships between surface characteristics Digital LANDSAT data analysis of Tennessee Evaluation of remote sensing techniques on selected and actual evaporation rate [E80-10130] P0212 N80-28768 forest sites in Florida — Fort Myers and Gainesville test [E80-10335] p0207 N80-33834 Use of LANDSAT data for river and lake ice engineering sites EVERGLADES (FL) studies [E80-10296] p0177 N80-32805 Florida water resources IE80-10237J P0205 N80-29806 An investigation of vegetation and other Earth [E80-10246] P0205 N80-30829 Cornell University remote sensing program --- New York re source/feature parameters using LANDSAT and other State remote sensing data. 1: LANDSAT. 2: Remote sensing [E80-10280] p0227 N80-29823 of volcanic emissions --- Lower Hudson River estuary: Maine: White Mountain National Forest, New Hampshire: Florida water resources Mt. St. Helens and Metsachee Creek. Washington: and the [E80-10246] p0205 N80-30829 Santiaguito and Feugo volcanoes. Guatemala FANS (LANDFORMS) Application of remote sensing to state and regional [E80-10312] p0225 N80-32807 Soil moisture in relation to geologic structure and problems — Mississippi [E80-10338) p0183 N80-32826 Application of remote sensing to selected problems within lithology northern California the state of California — Mendocino, Colusa. and Shasta [E80-10298] P0192 N80-30865 FLORIDA Counties FARM CROPS The environmental program at Kennedy Space Center - [E80-10326] p0183 N80-32817 Baseline to monitoring p0181 A80-51935 Vegetation clutter model pO173 A80-44262 The application of remote sensing to resource Optical methods for the study of biocenoses on land Satellite temperature monitoring and prediction system management and environmental quality programs in Kansas and sea p0201 A80-49656 p0211 A80-51943 — kansas; roy's and phony creeks watersheds: the proposed Invariant photometric features of natural objects A continuation of base-line studies for environmentally tallgrass prairie national park and pin ford lake, missouri. p0211 A80-52058 monitoring space transportation systems at John F. Kennedy [E80-10337] p0183 N80-32825 AgRISTARS cropping practices and crop characteristics Space Center. Volume 3. pan 2: Ichthyological studies, Application of remote sensing to state and regional based on 1979 ESCS observations — Arkansas, sailfin molly reproduction study problems --• Mississippi California, Georgia, Illinois, Iowa. Louisiana. Minnesota, [NASA-CR-163122-VOL-3-PT-2) p0198 N80-28940 (E80-10338] p0183 N80-32826 . Mississippi. Missouri, Nebraska, North Carolina, North Evaluation of remote hydrologic data-acquisition systems, Detection of hidden mineral deposits by airborne spectral Dakota. Ohio, Pennsylvania. South Carolina, and Texas west-central Florida analysis of forest canopies [E80-10292] pO!77 N80-30860 (PB80-176951J P0205 N80-29832 [PB80-193881] p0193 N80-32845 FARMLANPS Florida water resources The influence of topographic structures on night-time Development and application of Landsat -derived [E80-10246] p0205 N80-30829 surface temperatures: Evaluation of a satellite thermal irrigation cropland maps for water use determination in Florida water resources. Executive summary image of the upper Rhine plain and the surrounding the High Plains P0175 A80-49144 [E80-10247] P0205 N80-30830 highlands —- Germany and Switzerland Irrigated lands assessment for water management Mapping urbanized area expansion through digital image (E80-10228] P0179 N80-33829 Applications Pilot Test (APT) — California processing of LANDSAT and conventional data --- Orlando, FRANCE [E80-10324] p0178 N80-3281S Florida: Seattle, Washington: and Boston. Massachusetts Inventory, mapping and evaluation of the agricultural Infra red-temperature variability in a large agricultural field [E80-10301] p0182 N80-30868 potential of soils - Status of studies and needs of remote — Dunnigan, California A continuation of base-line studies for environmentally sensing p0175 A80-50877 [E80-10331) pO178 N80-32822 monitoring Space Transportation Systems (STS) at John A study of the needs of French government agencies in HCMM satellite follow-on investigation no. 025: Soil F. Kennedy Space Center. Volume 4: Threatened and remote sensing mapping pOISI A80-50882 moisture and heat budget evaluation in selected European endangered species of the Kennedy Space Center. Part Automatic mapping of snow cover by means of Landsat zones of agricultural and environmental interest (TELLUS 1: Marine turtle studies - Application to the central Pyrenees p0185 A80-50888 [NASA-CR-163122-VOL-4-PT-1] p0183 N80-31969 Project) -•- France, Germany, Italy. United Kingdom, end Basic topographic mapping - Renewal and revision the Benelux countries Remote sensing procedures for detecting and monitoring pO185 A80-50897 IE80-10332] p0178 N80-32823 various activities regulated by the Mobile District The geomorphology of Mont-Saint-Michel Bay studied [AD-A087584] p0206 N80-31973 FERTILIZERS from the remote sensing of instantaneous shorelines Remote sensing research studies Evaluation of remote sensing techniques on selected p0201 A80-50899 [E80-10117] pO!76 N80-30823 forest sites in Florida — Fort Myers and Gainesville test The cartography of Chize forest through remote sites FIELD OF VIEW sensing p0175 A80-5090O Large field-of-view interferometers for environmental (E80-10296) p0177 N80-32805 The use of satellite imagery for mapping - The study of sensing pO223 A80-48911 FLUORESCENCE soil moisture p0175 A80-50903 FILE MAINTENANCE (COMPUTERS) Fluorescence lidar --- for remote sensing of environments Design specification for a merging program for formatted and atmospheric constituents p0181 A80-48908 L-band radar and geology - Some results in south-east of France pO191 A80 51095 image data files FOLDS (GEOLOGY) [E80-10234] pO216 N80-29803 New data on the geological structure of the HCMM satellite follow-on investigation no. 025: Soil Verkhoiany- Koryma fold region from an analysis of satellite moisture and heat budget evaluation in selected European FIRES zones of agricultural and environmental interest (TELLUS Application of remote sensing to selected problems within TV images pO211 A80-5205I Project) — France. Germany. Italy. United Kingdom, and the state of California --- Mendocino. Colusa. and Shasta FOLIAGE the Benelux countries Aerial color infrared photography applications to Counties [E80-10332] pO178 N80-32823 (E80-10326] pOl83 N80-32817 citriculture p0175 A80-51944 FRESH WATER FISHERIES FOREST FIRES Quantitative monitoring ol sediment levers in freshwater Satellite activities of NOAA. 1979 pO220 N80-31429 Program on stimulating operational private sector use lakes from Landsat pO203 A80-51291 FISHES of Earth observation satellite data FRONTAL WAVES Nimbus-7 coastal zone color scanner - System description [E8CM0233] p0227 N8O-29802 The three-dimensional structure of the frontal zone of and initial imagery pO197 A80-51490 FOREST MANAGEMENT the Gulf Stream from synchronous satellite and ship data A continuation of base-line studies for environmentally Digital LANDSAT data analysis of Tennessee pO196 A80-49651 monitoring space transportation systems at John F. Kennedy (E80-10130] * pO212 N80-28768 FRONTS (METEOROLOGY) Space Center. Volume 3. part 1: Ichtnyological survey Program on stimulating operational private sector use Thermal fronts in the Mediterranean according to NOAA of lagoonal waters — Indian River lagoon system of Earth observation satellite data 5 satellite radiometer data /September 1977-February [NASA-CFM63122-VOL-3-PT-1] pOl97 N80-28939 (E80-10233] p0227 N80-29802 1979/ p0195 A80-48750 A-9 FROST SUBJECT INDEX

FROST Characteristics of the Landsat system and data for GEOTHERMAL RESOURCES Application of remote sensing to selected problems within geologic applications • Availability of data Review of BRGM research activities in geological remote the state of California — Mendocino. Colusa. and Shasta p0190 A80-51078 sensing and medium-term perspectives Counties Geological ground-truths and Landsat imagery p0189 A80-50881 [E80-10326) p0183 N80-32817 interpretation for parts of Karnataka State /India/ Geological and geothermal data use investigations for FRUITS p0190 A80-51080 application Explorer mission-A (heat capacity mapping Application of remote sensing to selected problems within Landsat exploration of Himalayan and Peninsular regions mission) the state of California — Mendocino, Cotusa. and Shasta /Remote sensing and mineral exploration • Progress report (E80-10279] P0192 N80-29822 Counties of work done in India/: I.G.C.P. Project 143 Remote sensing applied to the prospecting of geothermal [E80-10326] P0183 N80-32817 p0190 A80-51081 anomaly in Caldas Novas County, State of Goias, Brazil Lineament study of the Bastar district, Madhya Pradesh, [INPE-1792-RPE/164] p0193 N80-32837 India, from Landsat imagery p0190 A80-51083 GERMANY Application Explorer Mission-A heat capacity mapping Tectonics and lineament patterns of the Vindhyan basin mission — Bavaria. Germany and Marrakech. Morocco based on Landsat imagery data p0190 A80-51084 [E80-10309] p0219 N80-30875 GEOBOTANY Lineaments and their tectonic significance in relation to An investigation of vegetation and other Earth HCMM satellite follow-on investigation no. 025: Soil mineral potential in south India p0190 A80-51085 resource/feature parameters using LAND SAT and other moisture and heat budget evaluation in selected European remote sensing data. 1: LA NO SAT. 2: Remote sensing Interfacing with SEO technology - A case study in zones of agricultural and environmental interest (TELLUS of volcanic emissions --- Lower Hudson River estuary: geological application p0190 A80-51086 Project) — France. Germany, Italy, United Kingdom, and Maine: White Mountain National Forest, New Hampshire; Application of remote sensing techniques to petroleum the Benelux countries Mt. St. Helens and Metsachee Creek. Washington: and the exploration in India pO191 A80-51088 [E80-10332] p0178 N80-32823 Santiaguito and Feugo volcanoes, Guatemala Evaluation of MSS imagery over part of the The influence of topographic structures on night-time [E80-10312J p0225 N80-32807 asbestos-barytes belt of south-western Cuddapah basin, surface temperatures: Evaluation of a satellite thermal GEOCENTRIC COORDINATES Andhra Pradesh. India p0191 A80-51089 image of the upper Rhine plain and the surrounding highlands --- Germany and Switzerland Optimal conditions for determining the coordinates of Use of Landsat data products for geological mapping - [E80-10228] p0179 N80-33829 the earth's center of mass p0186 ABO-54021 A case history in Tamilnadu. India p0191 A80-51090 GEOCHEMISTRY GLACIAL DRIFT An automatic method of discriminating rock outcrops Application Explorer Mission-A heal capacity mapping Geochemical balance of the Saigado River basin using Landsat data p0191 A80-51094 [INPE-1849-RPE/206] p0206 N80-32834 mission --- Bavaria, Germany and Marrakech, Morocco L-band radar and geology - Some results in south-east GEODESY [E80-10309] P0219 N80-30875 of France p0191 A30-5109 5 Platform and buoy positioning experiments in the North GLACIERS Sea via Doppler satellite techniques p0197 A80-53691 New data on the geological structure of the Contribution of Landsat data to the objectives of the Ciustat deformation at very long baseline interferometry Verkhoiany-Kolyma fold region from an analysis of satellite geological survey of India p0189 A80-51077 sites due to seasonal air-mass and ground water TV images p0211 A80-52051 Problems of snow cover assessment - An approach using variations p0186 N80-28809 Geological analysis of the Urals-Oman superiineament remote sensing techniques in a pilot project in the Beas Satellite Emission Radio Interferometric Earth Surveying from satellite imagery p0211 A80-52052 river basin. Himachal Pradesh, India p0203 A80-51294 (SERIES) — astrometry p0186 N80-28838 Analysis of the results of an interpretation of satellite GLOBAL ATMOSPHERIC RESEARCH PROGRAM NASA geodetic applications of the Mark 3 VLB! and aerial protography of Western Uzbekistan The 7th WMO Executive Com mine Inter-Government system p0186 N80-28841 p0211 A80-52055 Panel Session on the First GARP Global Experiment Digital image technology 1980: Emerging production An automated aerial-photographic informal ion-search [GARP-SPEC-35] p0219 N80-31012 applications system p0186 A80-54023 GLOBAL POSITIONING SYSTEM [AD-A085163] p0214 N80-28851 US Geological Survey sources of photographs and images The Landsat-D/Global Positioning System experiment Improvement of the Earth's gravity field from terrestrial of biosphere reserves taken from spacecraft and aircraft, [AIAA PAPER 80-1678] p0209 A80-46522 and satellite data San Joaquin Experimental Range Satellite Emission Radio Interferometric Earth Surveying (E80-10271) p0186 N80-29818 [PB60-169295] p0192 N80-28852 (SERIES) — astrometry p0186 N80-2B838 NASA plan for international crustal dynamics studies Aerial gamma ray and magnetic survey: Raton Basin [NASA-TM-82214] p0187 N80-34000 GNEISS project. The Raton and Santa Fe quadrangles of New Measurement results and conclusions on the spectral GEODETIC SURVEYS Mexico Satellite Emission Radio Interferometric Earth Surveying reflective coefficients of volcanites, granitoides and [GJBX-9(80)-VOL-2] 0192 N80-30881 (SERIES) — astrometry p0186 N80-28838 P gneisses p0191 A80-51093 NASA geodetic applications of the Mark 3 VLBI Additions and corrections to the bibliography of geologic GOVERNMENT/INDUSTRY RELATIONS system p0186 N80-28841 studies. Columbia Plateau (Columbia River Basalt} and Private sector involvement in civil space remote sensing. The coordinated federal program for the application of adjacent areas, in Idaho. 1980 Volume 1: Report space technology to crustal dynamics and earthquake [RHO-BWI-C-68] p0192 N80-32013 [NASA-TM-82206] p0228 N80-33845 research The United States space observation policy Private sector involvement in civil space remote sensing. [NASA-TM-82215] p0187 N80-33999 (NASA-TM-76373] p0228 N80-33425 Volume 2: Appendices NASA plan for international crustal dynamics studies Contributions of LANDSAT imagery to the geological (NASA-TM-82207J p0228 N80-33846 [NASA-TM-82214] p0187 N80-34000 mapping of the Rio do Grande Sul Shield --- Brazil GRAINS (FOOD) GEODYNAMICS [INPE- 1838-RPE/ 199] p0193 N80-33842 As-built design specification for the Yield Estimation Crustal deformation at very long baseline interferometry GEOLOGY Subsystem (YES) operational Robertson phonological sites due to seasonal air-mass and ground water Program on stimulating operational private sector use model variations p0186 N80-28809 of Earth observation satellite data [E80-10170] p0212 N80-28771 Altimetry data over trenches and island-arcs and [E80-10233J P0227 N80-29802 Design specification for dot data base update deck convection in the mantle GEOMAGNETISM conversion program (DOTDEC) [NASA-CR-1635161 p0199 N80-32050 Substorm warnings • An ISEE-3 real time data system [E80-10I83) p0213 N80-28784 The coordinated federal program for the application of p0209 A80-46225 Sampling of rectangular regions space technology to crustal dynamics and earthquake Magsat - A new satellite to survey the earth's magnetic {E80-10272J p0176 N80-29819 research field P0223 A80-51233 The integrated analysis procedure for identification of [NASA-TM-82215] p0187 N80-33999 Improved definition of crustal anomalies for Magsat spring small grains and barley -•- Great Plains Corridor: NASA plan for international crustal dynamics studies data U.S. and Canada [NASA-TM-82214] p0187 N80-340OO [E80-10270] p0192 N80-29817 [E80-10274] p0177 N80-30847 GEOGRAPHY GEOMORPHOLOGY Evaluating the use of analyst labels in maximum likelihood Impact of cell size on inventory and mapping errors in The Mesozoic and Cenozotc depressions of the cluster proportion estimation a cellular geographic information system Baikalo-Amur region from the interpretation of space (E80-10303] p0219 N80-30870 [E80-10315] p0221 N80-33831 photographs p0189 A80-49654 Evaluation of Bayesian sequential proportion estimation GEOLOGICAL FAULTS The potential of Landsat-3 RBV images for thematic using analyst labels Characteristics of the representation of tectonic faults mapping ••• geomorphological, geological and land cover [E80-10304) p0219 N80-30871 on space photographs p0189 A80-49663 applications p0210 A80-50894 An algorithm for estimating crop calendar shifts of spring The appearance of the Main Ural Fault in a cloud field The geomorphology of Mont-Saint-Michel Bay studied small grains using LANDSAT spectral data on space photographs p0189 A80-49664 from the remote sensing of instantaneous shorelines (E80-10314] p0178 N80-32809 p0201 A80-50899 Estimates of the accuracy of the brightness conjunction Irrigated lands assessment for water management of multispectral photographs p0210 A80-49665 Surface characteristics of Precambrian stromatolitic Applications Pilot Test (APT) — California phosphorites of a part of the Indian shield [E80-10324] p0178 N80-32815 Evaluation of Landsat image data for the extraction of P0191 A80-51087 The application of remote sensing to resource land use information and its presentation in thematic Application of remote sensing techniques to petroleum map$ p0185 A80-50902 management and environmental quality programs in Kansas exploration in India p019l A80-51088 — kansas: roy's and phony creeks watersheds; the proposed Fracture mapping of the Narmada-Tapti basin using Use of Landsat data products for geological mapping - tallgrass prairie national park and pin ford lake, missourj. Landsat imagery p0190 A80-51082 A case history in Tamilnadu. India p019l A80-51O90 [E80-10337J P0183 N80-32825 Lineament study of the Bastar district. Madhya Pradesh. Application Explorer Mission-A heat capacity mapping India, from Landsat imagery pOl90 A80-51083 GRAND CANYON (AZ> mission — Bavaria, Germany and Marrakech. Morocco Applied Remote Sensing Program (ARSP) — Arizona Tectonics and lineament patterns of the Vindhyan basin (E80-10309] p0219 N80-30875 [E80-10330] P0178 N80-32821 based on Landsat imagery data p0190 A80-51084 A multi-step method for avalanche zone recognition and GRASSHOPPERS Development of a method to detect geologic faults and analysis — San Juan Mountains (co) p0193 N80-33824 GEOPHYSICS The applicability of remote sensing to Earth biological other linear features from LANDSAT images problems. Part 2: The potential of remote sensing in [PB80-189665) p0193 N80-32844 The coordinated federal program for the application of space technology to crustal dynamics and earthquake pest management GEOLOGICAL SURVEYS research [NASA-CR-163589] p0178 N80-32830 Spaceborne imaging radar - Geologic and oceanographic [NASA-TM-82215] p0187 N80-33999 GRASSLANDS applications p0223 A80-47480 GEORGIA Using 70-mm aerial photography to identify rangeland Remote sensing for tunnel siting studies AgRISTARS cropping practices and crop characteristics sites p0175 A80-53056 pO189 A80-48975 based on 1979 ESCS observations --- Arkansas, Grizzly bear habitat analysis. Section 3: LANDSAT-1 Landsat imagery in oil exploration • Six years of California. Georgia, Illinois. Iowa. Louisiana, Minnesota, multispectrat imagery and computer analysis of grizzly bear experience p0189 A80-50880 Mississippi, Missouri. Nebraska. North Carolina. North habitat •-- Slategoat. Scapegoat and Danaher areas, Contribution of Landsat data to the objectives of the Dakota, Ohio. Pennsylvania. South Carolina, and Texas Montana geological survey of India p0189 A80-51077 (E80-10292) p0177 N80-30860 [NASA-CR-163382] p0177 N80-30867 A-10 SUBJECT INDEX HIGHWAYS

Irrigated lands assessment for water management Implementation specification document for merge of The application of remote sensing to resource Applications Pilot Test (APT) — California BTREAD. phase 1. and phase 2 accuracy assessment management and environmental quality programs in Kansas (£80 10324) p0178 N80-32815 programs --- kansas: roy's and phony creeks watersheds: the proposed Application of remote sensing to selected problems within (E80-10285) p0218 N80-30853 tallgrass prairie national park and pin ford lake, missouri. the state of California — Mendocino. Colusa. and Shasta Study of geological structure of Sicily and other Italian (E80-10337) p0183 N80-32825 Counties areas --- Gulf of Orosei. Eastern Sardinia Application of remote sensing to state and regional (E80-10326) P0183 N80-32817 [E80-10299) P0192 N80-30866 problems — Mississippi Using LAND SAT digital data for estimating green biomass The contribution of the diffuse light component to the (E80-10338) p0183 N80-32826 — Throckmorton. Texas test site and Great Plans Corridor, topographic effect on remotely sensed data HEAT BALANCE US [NASA-TM-80728] ' p0186 N80-30876 Thermal balance of soils [E80-10328] pOl 78 N80-32819 As-built design specification for a list processing [INPE-1859-RPE/210) p0180 N80-33841 system The application of remote sensing to resource [E80-10325) 0221 N80-32816 HEAT BUDGET management and environmental quality programs in Kansas P HCMM satellite follow-on investigation no. 025: Soil Application of remote sensing to state and regional — Kansas: roy's and phony creeks watersheds; the proposed moisture and heat budget evaluation in selected European tallgrass prairie national park and pin ford lake, missouri. problems — Mississippi (E80-10338] p0183 N80-32826 zones of agricultural and environmental interest (TELLUS [E80-10337] p0183 N80-32825 GROUND WATER Project) —- France. Germany, Italy. United Kingdom, and the Benelux countries The use of LAND SAT data for evaluation and Identifying and locating land irrigated by center-pivot characterization of deforested pastureland and reforested irrigation systems using satellite imagery [E80-10332] p0178 N80-32823 areas in Brazil p0174 A80-49140 HEAT CAPACITY MAPPING MISSION [INPE-1794-RPE/166] p0179 N80-32836 Irrigation mapping in western Kansas using Landsat. II Geologic application of thermal inertia imaging using GRAVIMETRY - Practices and problems -— irrigation mapping in western HCMM data — Pisgah Crater. California and Walker Lake. Optimal conditions for determining the coordinates of Kansas using Landsat p0174 A80-49143 Nevada Test Sites the earth's center of mass p0186 A80-54021 Development and application of Landsat-de rived (E80-10229] p0192 N80-29798 GRAVITATIONAL FIELDS irrigation cropland maps for water use determination in Geologic application of thermal-inertia mapping from Improvement of the Earth's gravity field from terrestrial the High Plains p0175 A80-49144 satellite --- Powder River Basin. Wyoming and satellite data The use of satellite imagery for mapping - The study of [E80-10230] p0192 N80-29799 [E80-10271] p0186 N80-29818 soil moisture p0175 A80-50903 Geologic application of thermal inertia imaging using GRAVITY ANOMALIES Lineaments and their tectonic significance in relation to HCMM data Improvement of the Earth's gravity field from terrestrial mineral potential in south India p0190 A80-51085 [E80-10231) p0192 N80-29800 and satellite data Space observations for water resources - A potential to Applications of HCMM data to soil moisture snow and [E80-10271) p0186 N80-29818 be developed p0201 A80-51279 estuarine current studies --- Cooper River and Delaware GRAZING Remote sensing application in groundwater surveys and Bay Applied Remote Sensing Program (ARSP) — Arizona exploration in India p0202 A80-51280 [E80-10269] p0205 N80-29816 [E80-103301 p0178 N80-32821 Use of satellite imagery for the derivation of the Geological and geothermal data use investigations for hydrogeologic characteristics of a test area in semiarid GREAT LAKES (NORTH AMERICA) application Explorer mission-A (heat capacity mapping climates p0202 A80-51284 Quantitative interpretation of Great Lakes remote sensing mission) Remote sensing of water resources in Panch Mahals data p0201 A80-45005 [E80-10279] p0192 N80-29822 district p0202 A80-51286 Heat capacity mapping mission project HCM-051 — East Use of LAND SAT data for river and lake ice engineering Evaluation of hydrogeologic conditions in Ponnaiyar River Australian Current and the Tasman Front studies basin. South India using remotely sensed data [E80-10278] p0198 N80-30850 [E80-10237) p0205 N80-29806 p0203 A80-51288 Investigation of the application of HCMM thermal data Assessment of the role of remote sensing in the study Remote sensing in search for ground water - Some case to snow hydrology --- Salt-Verde watershed, Arizona and of inland and coastal waters histories p0203 A80-51289 [NASA-TM-81881] p0200 N80-34048 the Sierra Nevada Mountains. California Application of Landsat imagery to ground water studies (E80-10297] p0205 N80-30864 GREAT PLAINS CORRIDOR (NORTH AMERICA) in parts of Punjab and Haryana states. India Soil moisture in relation to geologic structure and The integrated analysis procedure for identification of p0203 A80-51290 spring small grains and barley --* Great Plains Corridor: lithology. northern California Perspectives of remote sensing applications to the study U.S. and Canada (E80-10298) p0192 N80-30865 of hydric balance in the EEC countries and to the global (E80-10274] p0177 N80-30847 Study of geological structure of Sicily and other Italian evaluation of ground water resources p0204 A80-51305 An algorithm for estimating crop calendar shifts of spring areas — Gulf of Orosei. Eastern Sardinia LANDSAT data as a basis for regional environmental small grains using LA NO SAT spectral data (E80-10299) p0192 N80-30866 assessment within the Columbia Plateau [E80-10314] p0178 N80-32809 Application Explorer Mission-A heat capacity mapping [RHO-BWI-SA-43] p0183 N80-31862 Using LANDSAT digital data for estimating green biomass mission --- Bavaria. Germany and Marrakech, Morocco HCMM energy budget data as a model input for assessing — Throckmorton, Texas test site and Great Plans Corridor, [E80-10309] p0219 N80-30875 regions of high potential groundwater pollution --- South US HCMM energy budget data as a model input for assessing Dakota [E80-10328) p0178 N80-32819 regions of high potential groundwater pollution —- South [E80-10310) p0206 N80-32806 GREEN WAVE EFFECT Dakota A labeling technology for LANDSAT imagery GUATEMALA [E80-10310] p0206 N80-32806 An investigation of vegetation and other Earth [E80-10293) p0219 N80-30861 Satellite monitoring of sea surface pollution — irish and resource/feature parameters using LANDSAT and other An algorithm for estimating crop calendar shifts of spring north seas remote sensing data. 1: LANDSAT. 2: Remote sensing ' small grains using LANDSAT spectral data [E80-10329] P0199 N80-32820 of volcanic emissions --- Lower Hudson River estuary; IE80-10314] p0178 N80-32809 Infrared-temperature variability in a large agricultural field Using LANDSAT digital data for estimating green biomass Maine: White Mountain National Forest. New Hampshire: Mt. St. Helens and Metsachee Creek. Washington: and the --- Dunntgan, California --- Throckmorton. Texas test site and Great Plans Corridor, [£80-10331) p0178 N80-32822 US Santiaguito and Feugo volcanoes. Guatemala Further developments of the TELL-US model. 1: An [E80-10328] PO178 N80-32819 [E80-10312] p0225 N80-32807 GULF OF ALASKA implicit finite difference scheme for the numerical GROUND STATIONS approximation of the ground heat flux. 2: A simple The SPOT/Landsat image ground station * Image Direct measurement of recirculation in the Alaskan algorithm for estimating the actual and potential preprocessing p0210 A80-50906 Stream p0195 A80-46316 evapotranspiration of vegetated surfaces from one remotely GROUND TRUTH A 94/183 GHz multichannel radiometer for Convair sensed surface temperature near the daily maximum The cartography of Chize forest through remote flights [E80-10333] p0178 N80-32824 sensing pCM75 A80-50900 [NASA-CR-160032) p0225 N80-33047 - The influence of topographic structures on night-time Geological ground-truths and Landsat imagery GULF STREAM surface temperatures: Evaluation of a satellite thermal interpretation for parts of Karnataka State /India/ The three-dimensional structure of the frontal zone of image of the upper Rhine plain and the surrounding p0190 A80-51080 the Gulf Stream from synchronous satellite and ship data highlands --- Germany and Switzerland LACIE field measurements data acquisition summary p0196 A80-49651 [E80-10228] p0179 N80-33829 report. 1975 - 1976 crop year •-- Finnev County, Kansas: Modulation of sea surface radar cross section by surface Impact of cell size on inventory and mapping errors in Williams County. North Dakota; and Hand County, South stress - Wind speed and temperature effects across the a cellular geographic information system Dakota Gulf Stream p0196 A80-51415 [E80-10193) P0214 N80-28790 [E80-10315) p0221 N80-33831 The Gulf Stream Meanders experiment: Current meter, Geologic application of thermal inertia imaging using Defining relationships between surface characteristics atmospheric, and sea level data report for the mooring HCMM data — Pisgah Crater. California and Walker Lake. period and actual evaporation rate [E80-10335] p0207 N80-33834 Nevada Test Sites [AD-A088069] p0199 N80-33077 [E80-10229] P0192 N80-29798 HEAT FLUX User manual for the Earth observations Division R and GULFS Further developments of the TELL-US model. 1: An D to OLPARS dot data conversion Observation of wavelike motion of the Gaspe Current implicit finite difference scheme for the numerical |E80 10236] pO216 N80-29805 p0195 A80-46309 approximation of the ground heat flux. 2: A simple •Improvement of the Earth's gravity field from terrestrial Study of geological structure of Sicily and other Italian algorithm for estimating the actual and potential and satellite data areas — Gulf of Orosei, Eastern Sardinia evapotranspiration of vegetated surfaces from one remotely (E80-10271) pO186 N80-29818 [E80-10299] p0192 N80-30866 sensed surface temperature near the dairy maximum Composition and assembly of a spectral data base for (E80-10333) p0178 N80-32824 corn and soybean multicrop segments -•- Missouri, HELICAL ANTENNAS Nebraska, South Dakota. Wisconsin. Iowa. Illinois. H Platform antennas for data collection Mississippi. Indiana. Kentucky, Minnesota. Michigan, and [INPE-1820-RPE/186) pO22 1 N 8 0-3 3 64 7 Louisiana HIGHLANDS (E80-10281) p0176 N80-29824 HABITATS The influence of topographic structures on night-time Preliminary user guide for the program GTDDM (Ground Digital LANDSAT data analysis of Ten surface temperatures: Evaluation of a satellite thermal Truth Dot Dump) (E80-10130) p0212 N80-28768 image of the upper Rhine plain and the surrounding (E80-10244) p0217 N80-30827 Grizzly bear habitat analysis. Section 3: LANDSAT-1 highlands --- Germany and Switzerland As-built design specification for field statistics multispectral imagery and computer analysis of grizzly bear [E80-10228] p0179 N80-33829 (FIELD STAT) habitat --- Stategoat. Scapegoat and Danaher areas, HIGHWAYS [E80-10252) p0217 N80-30835 Montana Remote sensing for tunnel siting studies Design specification for merge of BTREAD, Phase 1 and INASA-CR-163382] p0177 N80-30867 p0189 A80-48975 Phase 2 accuracy assessment programs Applied Remote Sensing Program (ARSP) — Arizona Digital LANDSAT data analysis of Tennessee USD-10255] P0217 N80-30338 (E80-10330) pO178 N80-32821 [E80-10130] p0212 N8O-28768 A-11 HIMALAYAS SUBJECT INDEX

Aerotriangulation control of large scale photography from Digital LANDSAT data analysis of Tennessee IGNEOUS ROCKS small scale photography [E80-10130] p0212 N80-28768 Aerial gamma ray and magnetic survey: Raton Basin [PB80-161524J p0224 N80-28853 Use of LANDSAT data for river and lake ice engineering project. The Raton and Santa Fe quadrangles of New HIMALAYAS studies Mexico Landsat exploration of Himalayan and Peninsular regions [E80-10237] p0205 N80-29806 (GJ8X-9(80)-VOL-2l P0192 N80-30881 /Remote sensing and mineral exploration • Progress report Cornell University remote sensing program --- New York ILLINOIS of work done in India/: I.G.C.P. Project 143 State Composition and assembly of a spectral data base for p0190 A80-51081 corn and soybean rnullicrop segments --• Missouri, [E80-10280) P0227 N80-29823 Studies of snow accumulation characteristics on Evaluation of remote hydrologic data-acquisition systems, Nebraska, South Dakota, Wisconsin, Iowa, Illinois, Himalayan slopes p0203 A80-51296 Mississippi. Indiana, Kentucky. Minnesota, Michigan, and west-central Florida Satellite imagery and U.P. Himalayas and Siwalik -•• for Louisiana [PB80-176951) p0205 N80-29832 soil conservation p0204 A80-51304 [E80-10281] P0176 N80-29824 An investigation of vegetation and other Earth Florida water resources AgRISTARS cropping practices and crop characteristics resource/feature parameters using LANDSAT and other [E80-10246] p0205 N80-30829 based on 1979 ESCS observations --- Arkansas, remote sensing data. 1: LANDSAT. 2: Remote sensing Florida water resources. Executive summary California. Georgia. Illinois. Iowa. Louisiana. Minnesota. of volcanic emissions •-- Lower Hudson River estuary: [E80-10247] p0205 N80-30830 Mississippi. Missouri. Nebraska. North Carolina. North Maine: White Mountain National Forest. New Hampshire: Heat capacity mapping mission project HCM-051 — East Dakota, Ohio, Pennsylvania, South Carolina, and Texas Mt. St. Helens and Metsachee Creek. Washington: and the Australian Current and the Tasman Front |E80-10292] p0177 N80-30860 Santiaguito and Feugo volcanoes, Guatemala [E80-10278] p0198 N80-30850 IMAGE CONTRAST [E80-10312] P0225 N80-32807 Investigation of the application of HCMM thermal data Degradation of picture quality by speckle in coherent HUDSON RIVER (NY) to snow hydrology --- Salt-Verde watershed, Arizona and mapping systems p0217 N80-30821 An investigation of vegetation and other Earth the Sierra Nevada Mountains, California Study of the atmospheric effects on the radiation detected re source/ feature parameters using LANDSAT and other (E80-10297] p0205 N80-30864 by the sensor aboard orbiting platforms (ERTS/LANDSAT) remote sensing data. 1: LANDSAT. 2: Remote sensing Application Explorer Mission-A heat capacity mapping — Ribeirao Preto and Brasilia, Brazil of volcanic emissions ••- Lower Hudson River estuary: mission --- Bavaria. Germany and Marrakech. Morocco [E80-10259] p0218 N80-30842 Maine: White Mountain National Forest. New Hampshire: IMAGE CORRELATORS 1E80-10309] P0219 N80-30875 Mt. St. Helens and Metsachee Creek, Washington; and the Automatic selection of reference objects for comparing Satellite activities of NOAA. 1979 p0220 N80-31429 Santiaguito and Feugo volcanoes, Guatemala aerial and satellite photographs p0212 A80-52063 [E80-10312] p0225 N80-32807 LANDSAT data as a basis for regional environmental IMAGE ENHANCEMENT HUMIDITY assessment within the Columbia Plateau Phytoplankton pigments from the Nimbus-7 Coastal Zone Further developments of the TELL-US model. 1: An [RHO-BWI-SA-43] p0183 N80-31862 Color Scanner - Comparisons with surface measurements implicit finite difference scheme for the numerical Sensors for remote sensing p0197 A80-51491 approximation of the ground heat flux. 2: A simple [CISE-N-190] p0225 N80-31863 High Density Tape Reformatting System/LA NDSAT algorithm for estimating the actual and potential The application of remote sensing to resource Imagery Verification and Extraction System (HDTRS/ LIVES) evapotranspiration of vegetated.surfaces from one remotely management and environmental quality programs in Kansas production test throughput analysis sensed surface temperature near the dairy maximum — kansas: roy's and phony creeks watersheds: the proposed |E80 10319] P0221 N80-32811 [E80-10333] P0178 N80 32824 tallgrass prairie national park and pin ford lake, missouri. Digital filtering of LANDSAT images as a visual aid HURRICANES (E80-10337] p0183 N80-32825' technique in geological photointerpretation Application of remote sensing to state and regional HYDROLOGY MODELS [INPE-1823-RPE/189] P0193 N80-33843 problems --- Mississippi Application of remote sensing to state and regional IMAGE PROCESSING (EBO-10338] p0183 N80-32826 problems — Mississippi Segmentation-based boundary modeling for natural A 94/183 GHz multichannel radiometer for Convair [E80-10338] p0183 N80-32826 terrain scenes p0209 A80-44297 flights A watershed information system p0207 N80-33825 A photogram metric method of processing space INASA-CR-160032] p0225 N80-33047 photographs p0185 A80-46967 Coastal currents: Study of a model applied to the coast HYDRO6EOLOGY Remote sensing for tunnel siting studies of Rio Grande do Sul latitude 29 deg south to 35 deg Contribution of Landsat data to the objectives of the p0189 A80-48975 south geological survey of India p0189 A80-51077 Remotely sensed data processing techniques, present and [INPE-1841-RPE/2011 p0200 N80-33844 Some results of remote sensing in Yugoslavia future p0209 A80-49138 HYOROMETEOROLOGY P0191 A80-51091 Allowance for light scattering in the atmosphere in the Use of satellite imagery for the derivation of the Remote sensing applications in hydrometeorology processing of space photographs of the earth's surface P0202 A80-51283 hydrogeologic characteristics of a test area in semiarid P0210 A80-49658 climates p0202 A80-51284 Cartographic processing and analysis of satellite imagery: Terrain analysis and hydrogeologic interpretations from International Conference. 3rd. Toulouse, France, June satellite imagery p0202 A80-51285 19-22. 1979. Proceedings P0185 A80-50876 Remote sensing of water resources in Ranch Mahals Landsat imagery in oil exploration • Six years of district p0202 A80-51286 experience p0189 A80-50880 ICE Evaluation of hydrogeologic conditions in Ponnaiyar River Information extraction from a Landsat image contained Radar backscatter study of sea ice basin. South India using remotely sensed data within an artificial outline p0210 A80-50889 [AD-A087032] p0198 N80-30618 p0203 A80-51288 The use of topology concepts for supervised and Remote sensing in search for ground water - Some case ICE FORMATION unsupervised classifications --- of satellite images Radar backscatter study of sea ice histories p0203 A80-51289 P0210 A80-50891 Application of Landsat imagery to ground water studies [AD-A087032] p0198 N80-30618 Spatial filtering of Landsat data for urban cartography in parts of Punjab and Haryana states, India ICE MAPPING p0185 A80-50892 pO203 A80-51290 Microwave radiomethc aircraft observations of the The potential of Landsat-3 RBV images for thematic Perspectives of remote sensing applications to the study Fabry-Perot interference fringes of an ice-water system mapping --- geomorphological, geological and land cover of hydric balance in the EEC countries and to the global p0195 A80-44232 applications p0210 A80-50894 evaluation of ground water resources p0204 A80-51305 . Satellite studies of fresh-water ice movement on Lake Tidal land mapping from Landsat p0185 A80-50896 Remote sensing of the ocean: Physical, chemical, and Erie p0205 A80-53611 Basic topographic mapping - Renewal and revision geologic properties. Citations from the NTIS data base The development of a stepped frequency microwave p0185 A80-50897 [PB80-811235] p0198 N80-30884 radiometer and its application to remote sensing of the Evaluation of Landsat image data for the extraction of Remote sensing applied to the prospecting of geothermal Earth land use information and its presentation in thematic anomaly in Caldas Novas County. State of Goias. Brazil [NASA-TM-81847] p0224 N80-28637 maps p0185 A80-50902 [INPE-1792-RPE/164J p0193 N80-32837 NASA oceanic processes program: Status report, fiscal The SPOT/Landsat image ground station - Image A watershed information system p0207 N80-33825 year 1980 preprocessing p0210 A80-50906 HYDROLOGY [NASA-TM-80233) p0198 N80-29005 The detection of linear features using Landsat data Lineaments and their tectonic significance in relation to p0210 A80-51013 Radar backscatter study of sea ice mineral potential in south India p0190 A80-51085 Interfacing with SEO technology - A case study in [AD-A087032] 0198 N80-30618 L-band radar and geology - Some results in south-east P geological application p0190 A80-51086 of France p0191 A80-51095 The development of a stepped frequency microwave New data on the geological structure of the The contribution of space observations to water resources radiometer and its' application to remote sensing of the Vertchoiany-Kolyma fold region from an analysis of satellite management; Proceedings of the Symposium, Bangalore. Earth p0224 N80-30822 TV images p0211 A80-52051 India. May 29-June 9, 1979 p0201 A80-51278 Seasat-A land applications data processing plan Experiment aimed at standardizing anthropogenic Space observations for water resources - A potential to (E80-10317] p0221 N80-32810 changes of the natural environment from satellite and aerial be developed P0201 A80-51279 A 94/183 GHz multichannel radiometer for Convair photographs p0211 A80-52056 Remote sensing application in groundwater surveys and flights Practical aspects of radiative correction of multispectral exploration in India p0202 A80-51280 (NASA-CR-1600321 p0225 N80-33047 video information p0211 A80-52060 Satellite data for the solution of problems of land ICE REPORTING Analytical geographic gridding of natural objects from hydrology p0202 A80-51282 The contribution of space observations to water resources aerial and satellite multispectral scanner images Quantitative monitoring of sediment levels in freshwater management: Proceedings of the Symposium. Bangalore. p0212 A80-52064 lakes from Landsat p0203 A80-51291 India. May 29-June 9. 1979 p0201 A80-51278 Distortion of satellite photographs obtained by scanning Snow mapping from space platforms Remote sensing applications in hydrometeorology systems P0212 A80-52065 p0203 A80-51293 P0202 A80-51283 Comparison of interpretations of radar images and space Problems of snow cover assessment - An approach using Use of LANDSAT data for river and lake ice engineering photographs of a high degree of generalization on the* remote sensing techniques in a pilot project in the Beas studies example of the Zartcainarskii intrusive massif /southern river basin. Himachal Pradesh. India p0203 A80-51294 (E80-10237) p0205 N80-29806 Tien-Shan/ p0212 A80-52066 Eurasian snow cover extent • The NOAA satellite record. IDAHO Results of the complex processing of photographs taken 1966-79 p0203 A80-51295 The Columbia River and Tributaries Irrigation Withdrawals from the Satyut space stations p0212 A80-53004 Analysis Project • Feasibility analysis and future plans Studies of snow accumulation characteristics on Digital LANDSAT data analysis of Tennessee Himalayan slopes 0203 A80-51296 p0174 A80-49141 P LANDSAT data as a basts for regional environmental (E80-10130) P0212 N80-28768 Microwave emission properties of snow for monitoring assessment within the Columbia Plateau As-built design specification for the 1-100 tape read hydrological parameters p0203 A80-51297 [RHO-BWI-SA-43] p0183 N80-31862 consolidation program (FULOI) The utility of Landsat-D for water-resources studies Additions and corrections to the bibliography of geologic (E80-10171] P0213 N80-28772 p0205 A8 0-51309 studies. Columbia Plateau (Columbia River Basalt) and Final design specification for EOD-LARSYS/statistics and Earth observation systems in Japan --- for water resources adjacent areas, in Idaho, 1980 data transformation processors modification study p020S A80-51310 [RHO-BWI-C-68] p0192 N80-32013 [E80-101731 P0213 N80-28774 A-12 SUBJECT INDEX INDIANA

As-built design specification for EOD-LARSYS procedure Qassification of multispectral images according to Irrigation mapping in western Kansas using Landsat. II 1 crosswise textural characteristics --- Mato Grasso. Brazil • Practices and problems --- irrigation mapping in western [E80-10174] P0213 N80-28775 IE80-10257] p0218 N80-30840 Kansas using Landsat p0174 A80-49143 As-built design specification for LACIE phase 3 automatic Evaluating the reforested area for the municipality of Buri Cartographic display of space information - The different status and tracking system by automatic analysis of LANDSAT imagery •-- Sao Paulo, methods available at IGN p0210 A80-50879 [E80-10175I p0213 N80-28776 Brazil Tidal land mapping from Landsat p0185 A80-50896 Design specification for EQD-LARSYS/statistics and data [E80-10258] p0176 N80-30841 Study of the atmospheric effects on the radiation detected Imaging in many frequency bands --- multispectral transformation processors modification spaceborne photography p0212 A80-52062 [E80-10177] p0213 N80-28778 by the sensor aboard orbiting platforms (ERTS/LANDSAT) — Ribeirao Preto and Brasilia. Brazil Comparative experimental study on the use of original Modifications to the CLASY program IE80-10259] p0218 N80-30842 and compressed multispectral LANDSAT data for applied (£80-10)81] p02)3 N80-28782 As-built design specification for the research Design specification for dot data base update deck Patterson-Pitt-Thadani minimum loss classifier [DFVLR-FB-80-03) p0220 N80-31865 conversion program (DOTQEC) |E80-10262] p0218 N80-30845 INDIA [E80-10183] p0213 N80-28784 Implementation specification document for merge of Contribution of Landsat data to the objectives of the As-built design specification for Production Film BTREAD. phase 1, and phase 2 accuracy assessment geological survey of India pOl89 A80-51077 Converter Gains And Biases program (PFCGAB) programs Geological ground-truths and Landsat imagery (E80-10184) p0213 N80-28785 (E80-10285) p0218 N80-30853 interpretation for parts of Karnataka State /India/ User's guide: Large Area Crop Inventor/ Experiment Estimation of probabilities of label imperfections and p0190 A80-51080 (LACIE) phase 3 POP 11/45 automatic status and tracking correction of mislabels Landsat exploration of Himalayan and Peninsular regions system [E80-10288] p0218 N80-30856 /Remote sensing and mineral exploration - Progress report [E80-10194] p0214 N80-28791 As-built design specification for the CM AS image-100 of work done in India/: I.G.C.P. Project 143 As-built design specification for POP 11/45 accuracy hybrid system. Volume 2: Detailed flow charts and program p0190 A80-51081 assessment system listings, part 1 Fracture mapping of the Narmada-Tapti basin using [EBO-10200] p0214 N80-28797 IE80-102891 P0218 N80-30857 Landsat imagery p0190 A80-51082 As-built design specification for the CAMS image-100 Digital image technology 1980: Emerging production Lineament study of the Bastar district. Madhya Pradesh, hybrid system. Volume 3: Utilities and shared applications India, from Landsat imagery p0190 A80-51083 [AD-A085163] p0214 N80-28851 subroutines [E80-10290] p0218 N80-30858 Tectonics and lineament patterns of the Vindhyan basin User documentation EOD-LARSYS Earth Observations based on Landsat imagery data p0190 A80-51084 Division version of the Laboratory for Applications of Remote Maximal analysis labeling procedure (preliminary) Lineaments and their tectonic significance in relation to sensing system [E80-10294] p0219 N80-30862 mineral potential in south India p0190 A80-51085 [E80-70188) pO2M rVSO-29780 An exploratory study to develop a cluster-based area Design specification for secondary error sources estimation procedure --- Colorado. Kansas, Minnesota. Interfacing with SEO technology - A case study in multi-temporal Bayes classifier Nebraska. Texas. South Dakota. Oklahoma, and North geological application p0190 A80-51086 [E80-10205] p0215 N80-29784 Dakota Surface characteristics of Precambrian stromatolitic As-built design specification for the CAMS image-100 (E80-10295] p0177 N80-30863 phosphorites of a part of the Indian shield hybrid system. Volume 1: System design Grizzly bear habitat analysis. Section 3: LANDSAT-1 p0191 A80-51087 multispectral imagery and computer analysis of grizzly bear [E80-10207] P0215 N80-29786 Application of remote sensing techniques to petroleum As-built design specification for the CAMS image-100 habitat — Slategoat, Scapegoat and Danaher areas, exploration in India p0191 A80 51088 Montana hybrid system. Volume 2: Detailed flow charts and program Evaluation of MSS imagery over part of the [NASA-CR-163382] p0177 N80-30867 listings asbestos-barytes belt of south-western Cuddapah basin, IE80-10208| p0215 N80-29787 Mapping urbanized area expansion through digital image Andhra Pradesh. India pO!91 A80-51089 processing of LANDSAT and conventional data — Orlando, As-built design specification for Boundary Detection And Use of Landsat data products for geological mapping - Florida: Seattle, Washington: and Boston. Massachusetts Registration Program (BDARP1) A case history in Tamilnadu, India p0191 A80-51090 [E80-10217] p0215 N80-29794 [E80-10301] p0182 N80-30868 Remote sensing application in groundwater surveys and Geologic application of thermal inertia imaging using A description of a system of programs for mathematically exploration in India p0202 A80-51280 HCMM data processing on unified series (YeS) computers photographic Terrain analysis and hydrogeologic interpretations from [E80-10231] P0192 N80-29800 images of the Earth taken from spacecraft Design specification for a merging program for formatted [NASA-TM-76208] p0220 N80-31856 satellite imagery p0202 A80-51285 image data files Terrain analyst synthesizer station Remote sensing of water resources in Panch Mahals [E80-10234] p0216 N80-29803 [AD-A087370] p0187 N80-31860 district p0202 A80-51286 Project development plan for the LA NO SAT Imagery Comparative experimental study on the use of original Evaluation of hydrogeologic conditions in Ponnaiyar River Verification and Extraction System (LIVES) and compressed multispectral LANDSAT data for applied basin. South India using remotely sensed data [E80-10238] p0216 N80-29807 research p0203 A80-51288 Test plan for the LA NO SAT Imagery Verification and [DFVLR-FB-80-03] p0220 N80-31865 Remote sensing in search for ground water - Some case Extraction System (LIVES) A multiprocessor implementation of a contextual image histories p0203 A80-51289 [E80-10239] p0216 N80-29808 processing algorithm Application of Landsat imagery to ground water studies Preliminary design specification for the LANDSAT (E80-10313] p0221 N80-32808 in parts of Punjab and Han/ana states. India Imagery Verification and Extraction System (LIVES) p0203 A80-51290 (E80-10240] p0216 N80-29809 Seasat-A land applications data processing plan Problems of snow cover assessment - An approach using Design specification for a list processing system (E80-10317] P0221 N80-32810 remote sensing techniques in a pilot project in the Beas IE80-10265] 0216 N80-29812 As-built design specification for equiprobabitity ellipses P river basin. Himachal Pradesh. India p0203 A80-51294 Pixel labeling by supervised probabilistic relaxation representation of CLASSY clusters [E80-10267] p0216 N80-29814 [E80-10320] P0221 N80-32812 Eurasian snow cover extent - The NOAA satellite record. Use of collateral information to improve LANDSAT Operation plan for the High Density Tape/LANDSAT 1966-79 p0203 A80-51295 classification accuracies --- Ventura County and Klamath Imagery Verification and Extraction System (HDT/LIVES) Studies of snow accumulation characteristics on National Forest. California data processing support Himalayan slopes p0203 A80-51296 [E80-10268] p0176 N80-29815 [E80-10322] p0221 N80-32813 Assessment of cyclone-caused damage in Krishna delta Some approaches to optimal cluster labeling of aerospace As-built design specification for a list processing region using remotely sensed data p0204 A80-51301 imagery system Study of Kosi river characteristics using airborne/space (ESO-10273) p0216 N80-29820 (E80-10325] p0221 N80-32816 orbital multispectral scanner data p0204 A80-51302 EOD systems and facilities workload requirements Application of remote sensing to selected problems within Floodplains mapping of Gangetic basin using Landsat forecast the state of California --- Mendocino. Colusa, and Shasta imagery p02O4 A80-51303 [£80-10277] p0176 N80-29821 Counties Study of floods in Bangladesh and India with the help Image transformation study [E80-10326] p0183 N80-32817 of meteorological satellites p0204 A80-51306 [AD-A086070] p0216 N80-29828 As-built design specification for the India monthly data Satellite monitoring of sea surface pollution --- Irish and As-butlt design specification for Boundary Detection And base north seas Registration Program (BDARP1) (E80-10264] p0216 N80-29811 IE80-10329] p0199 N80-32820 [E80-10216] p0217 N80-30824 An investigation of vegetation and other Earth Forest resource information system, phase 3 — St. Regis Applied Remote Sensing Program (ARSP) --- Arizona resource/feature parameters using LANDSAT and other Paper Co.: Picayune. Mississippi [E80-10330] p0178 N80-32821 remote sensing data. 1: LANDSAT. 2: Remote sensing (£80-10242) p017G N80-30825 Development of a method to detect geologic faults and of volcanic emissions --• Lower Hudson River estuary: Detailed design specification for the automatic status other linear features from LANDSAT images Maine: White Mountain National Forest. New Hampshire: and tracking system modifications for LACIE procedure 1 [PB80-189665] p0193 N80-32844 Mt. St. Helens and Metsachee Creek. Washington; and the {E80-10243] p0217 N80-30826 Utilization of spectral-spatial information in the Santiaguito and Feugo volcanoes. Guatemala Preliminary user guide for the program GTODM (Ground classification of imagery data [E80-10312] p0225 N80-32807 Truth Dot Dump) (£80-10321] p0222 N80-33832 INDIAN OCEAN [E80-10244] p02J7 N80-30827 Bonne's projection of Meteosat images --- subroutines Landsat application to the study of coastal processes Design specification for color coded spectral plots [CSIR-SR-flS-201] p0222 N80-33837 p0203 A80-51292 [E80-10245] p0217 N80-30828 A method for edge detection in images of natural INDIAN SPACE PROGRAM High Density Tape Reformatting System/LANDSAT resources Status and plans of SEO satellite and receiving station imagery verification and Extraction System (HDTRS/LIVES) (INPE-1768-RPE/154] p0222 N80-33840 pO190 A80-51079 throughput anatysis Interfacing with SEO technology - A case study in Interactive digital image processing investigation, phase |EBO 10248) p0217 N80-30831 geological application pO190 A80-5108 6 2 Implementation specification for Large Area Crop Study of floods in Bangladesh and India with the help [AD-A087518] p0222 N80-33848 Inventory Experiment (LACIE) phase 3 automatic status of meteorological satellites p0204 A80-513O6 and tracking system IMAGE RECONSTRUCTION Indian remote sensing satellite program and its [E80-10249] p0217 N80-30832 Optical spatial-frequency characteristic of the atmosphere contribution to water resources management As-built design specification for scatter plots for direct and its applications -— atmospheric scattering earth surface pO204 A80-51307 wheat image distortion p0212 A80-52061 INDIANA [E80-10250] pO217 N80-30833 IMAGE RESOLUTION Composition and assembly of a spectral data base for aassification with spectral-spatial-temporal archetypes Airborne thermal viewer having a circular scanner viewing corn and soybean multicrop segments --- Missouri. [E8O-10251] 00217 N8O-30834 axis pO223 A80-52046 Nebraska. South Dakota. Wisconsin, Iowa. Illinois. As-built design specification for field statistics IMAGING TECHNIQUES Mississippi, Indiana. Kentucky. Minnesota. Michigan, and (FIELDSTAT) Irrigation mapping in western Kansas using Landsat. I - Louisiana [E80-10252] pO217 N8O-30835 Key parameters pO174 A80-49142 [E80-10281] o0176 N80-29824 A-13 INFESTATION SUBJECT INDEX

INFESTATION INSTRUMENT COMPENSATION K Program on stimulating operational private sector use Large field-of-view interferometers for environmental of Earth observation satellite data sensing p0223 A80-48911 KANSAS [E80-10233) p0227 N80-29802 INSTRUMENT PACKAGES Identifying irrigated lands using remote sensing The application of remote sensing to resource Status and plans of SEO satellite and receiving station techniques: State of the Art; Proceedings of the Symposium. management and environmental quality programs in Kansas p0190 A80-51079 Sioux Falls. S. Dak.. November 15. 16. 1979 ••- kansas: roy's and phony creeks watersheds; the proposed o0174 A80-49136 tallgrass prairie national park and pin ford lake, missouri. INTERFEROMETERS Irrigation mapping in western Kansas using Landsat. II [E80-10337] P0183 N80-32825 Large field-of-view interferometers for environmental • Practices and problems — irrigation mapping in western The applicability of remote sensing to Earth biological sensing p0223 A80-489M Kansas using Landsat p0174 A80-49143 problems. Part 2: The potential of remote sensing in INTERNATIONAL COOPERATION LACIE field measurements data acquisition summary pest management Space law - A new proposal p0227 A80-45575 report. 1975 - 1976 crop year --- Finney County, Kansas: [NASA-CR-163589] p0178 N80-32830 A new era in technology: Proceedings of the Seventeenth Williams County, North Dakota: and Hand County. South INFORMATION DISSEMINATION Dakota Program on stimulating operational private sector use Space Congress. Cocoa Beach. Fla.. April 30-May 2. 1980 p0210 A80-51926 (E80-10193) p0214 N80-28790 of Earth observation satellite data As-built design specification for historical daily data bases [E80-10233] P0227 N80-29802 China space report /Based on observations made during for testing advanced models — Kansas. North Dakota, and Collection, processing, and distribution of remote sensing an invited tour with an AIAA delegation. November 1979/ U.S.S.R data from Brazilian Receiving Station — Book p0227 A80-53350 [E80-10198] p0214 N80-28795 [INPE-1784-RPE/156] p0221 N80-32832 Report on active and planned spacecraft and Operational changes for the Kansas State University INFORMATION SYSTEMS experiments wheat model Computer-aided watershed analyses using remote (NASA-TM-B0905J p0227 N80-3U20 (£80-10223) p0176 N80-29797 sensing based regional information systems IOWA Draft user procedures: Software wheat yield p0204 A80-51299 predictions/foreign equivalent test -•- Kansas. Oklahoma, The availability of U.S. environmental satellite data to Composition and assembly of a spectral data base for corn and soybean multicrop segments --- Missouri. and Nebraska the marine technology community p0197 A80-53683 [E80-10287] p0218 N80-30855 Program on stimulating operational private sector use Nebraska. South Dakota. Wisconsin, Iowa. Illinois, Mississippi. Indiana, Kentucky. Minnesota, Michigan, and An exploratory study to develop a cluster-based area of Earth observation satellite data estimation procedure — Colorado. Kansas. Minnesota. [E80-10233) P0227 N80-29802 Louisiana [E80-10281] p0176 N80-29824 Nebraska. Texas. South Dakota. Oklahoma, and North Forest resource information system, phase 3 — St. Regis Dakota Paper Co.: Picayune. Mississippi IRRIGATION [E80-10295] p0177 N80-30863 [E80-10242] p0176 N80-30825 Identifying irrigated lands using remote sensing The application of remote sensing to resource A watershed information system p0207 N80-33825 techniques: State of the An: Proceedings of the Symposium, management and environmental quality programs in Kansas Impact of cell size on inventory and mapping errors in Sioux Falls. S. Dak., November 15. 16. 1979 --• kansas: roy's and phony creeks watersheds; the proposed a cellular geographic information system p0174 A80-49136 tallgrass prairie national park and pin ford lake, missouri. [E80-103151 P0221 N80-33831 A review of future remote sensing satellite capabilities [£80-10337] p0183 N80-32825 Operational remote sensing legislation, part 1 p0174 A80-49139 [GPO-45-048) p0228 N80-34294 KENTUCKY INFRARED IMAGERY Identifying and locating land irrigated by center-pivot Composition and assembly of a spectral data base for Separability of agricultural cover types in spectral irrigation systems using satellite imagery corn and soybean multicrop segments --- Missouri, channels and wavelength regions p0173 A80-49100 p0174 A80-49140 Nebraska, South Dakota, Wisconsin, Iowa. Illinois. Aerial color infrared photography applications to The Columbia River and Tributaries Irrigation Withdrawals Mississippi. Indiana. Kentucky. Minnesota, Michigan, and citriculture p0175 A80-51944 Analysis Project - Feasibility analysis and future plans Louisiana Heat capacity mapping mission project HCM-051 •-• East p0174 A80-49141 [E80-10281] p0176 N80-29824 Australian Current and the Tasman Front Irrigation mapping in western Kansas using Landsat. I - [E80-10278] p0198 N80-30850 Key parameters p0174 A80-49142 Soil moisture in relation to geologic structure and lithology. northern California Urination mapping in western Kansas using \_antisEft. M (E80-10298] p0192 N80-30865 - Practices and problems --- irrigation mapping in western LAGOONS Analysis of scanner data for crop inventories Kansas using Landsat p0174 A80-49143 A continuation of base-line studies for environmentally [E80-10308] p0219 N80-30874 Development and application of Landsat-derived monitoring space transportation systems at John F. Kennedy Application Explorer Mission-A heat capacity mapping irrigation cropland maps for water use determination in Space Center. Volume 3. pan 1: Ichthyological survey mission —- Bavaria, Germany and Marrakech, Morocco the High Plains p0175 A80-49144 of lagoonal waters -•- Indian River lagoon system IE80-10309J p0219 N80-30875 LANDSAT data as a basis for regional environmental [NASA-CR-163122-VOL-3-PT-1) pOI97 N80-28939 Correlation of under-ice roughness with satellite and assessment within the Columbia Plateau A continuation of base-line studies for environmentally airborne thermal infrared data — Beaufort Sea and Arctic [RHO-BWI-SA-43] p0183 N80-31862 Ocean pack ice monitoring space transportation systems at John F. Kennedy Irrigated lands assessment for water management Space Center. Volume 3. part 2: Ichthyological studies, [AD-A085512] P0198 N80-30880 Applications Pilot Test (APT) — California sailfin molly reproduction study Remote sensing of the ocean: Physical, chemical, and (E80-10324) 0178 N80-32815 [NASA-CH-163122-VOL-3-PT-2] p0198 N80-28940 geologic properties. Citations from the NTIS data base P [PB80-811235] p0198 N80-30884 Application of remote sensing to selected problems within LAKE ERIE the state of California — Mendocino. Colusa. and Shasta Satellite studies of fresh-water ice movement on Lake Remote sensing of the ocean: Dynamics. Citations from Erie p0205 A80-53611 the NTIS data base Counties [PB80-811243] p0199 N80-30885 [E80-10326] p0183 N80-32817 LAKE ICE Microwave radiometric aircraft observations of the Sensors For remote sensing Applied Remote Sensing Program (ARSP) — Arizona [E80-10330] 0178 N80-32821 Fabry-Perot interference fringes of an ice-water system lCtSE-N-190] p0225 N80-31863 P p0195 A80-44232 A multi-step method for avalanche zone recognition and The application of remote sensing to resource Satellite data for the solution of problems of land management and environmental quality programs in Kansas analysis — San Juan Mountains (co) p0193 N80-33824 hydrology p0202 A80-51282 --- kansas: roy's and phony creeks watersheds; the proposed INFRAREP INSTRUMENTS Satellite studies of fresh-water ice movement on Lake Remote sensing of the ocean: Dynamics. Citations from tallgrass prairie national park and pin ford lake missouri. Erie p0205 A80-53611 the NTIS data base [E80-10337) P0183 N80-32825 [PBBO-8U243] p0199 N80-30885 The development of a stepped frequency microwave ISLANDS radiometer and its application to remote sensing of the Dynamical interpretation of satellite-sensed thermal INFRAREP LASERS Earth Development of a pulsed 9.5 micron lidar for regional features off Vancouver Island pO195 A80-46315 (NASA-TM-81847) p0224 N80-28637 scale 03 measurement p0181 A80-48909 Radar observations of wave transformations in the vicinity Use of LANDSAT data for river and lake ice engineering INFRAREP SCANNERS of islands p0196 A80-51408 Airborne thermal viewer having a circular scanner viewing studies Altimetry data over trenches and island-arcs and [E80-10237] p0205 N80-29806 axis P0223 A80-52046 convection in the mantle Radar backscatter study of sea ice INFRAREP SPECTROSCOPY INASA-CR-163516] P0199 N80-32050 [AD-A087032] p0198 N80-30618 Remote sensing of the ocean: Physical, chemical, and geologic properties. Citations from the NTIS data base ITALY The development of a stepped frequency microwave [PB80-81 1235] p0198 N80-30884 Perspectives of remote sensing applications to the study radiometer and its application to remote sensing of the of hydric balance in the EEC countries and to the global Earth p0224 N80-30822 INFRAREP TELESCOPES evaluation of ground water resources p0204 A80-51305 Advanced solid state Earth resources satellite study LAKE ONTARIO [E80-10232] P0224 N80-29801 Study of geological structure of Sicily and other Italian Nonzero subsurface ir radiance reflectance at 670 nm from Lake Ontario water masses p0201 A80-45428 INLAND WATERS areas --- Gulf of Orosei. Eastern Sardinia Satellite data for the solution of problems of land (E80-10299] P0192 N80-30866 LAKE SUPERIOR hydrology p0202 A80-51282 HCMM satellite follow-on investigation no. 025: Soil Remote sensing of paniculate concentrations in water p0201 A80-46450 Monitoring the use of riverways with aerial photography: moisture and heat budget evaluation in selected European The development, testing, and evaluation of a computer zones of agricultural and environmental interest (TELLUS LAKES assisted methodology Project) -•- France, Germany. Italy, United Kingdom, and Estimates of the accuracy of the brightness conjunction [AD-A086471] p0182 N80-30877 the Benelux countries ot multispecual photographs p0210 A80-49665 Assessment of the role of remote sensing in the study [E80-10332J P0178 N80-32823 Quantitative monitoring of sediment levels in freshwater of inland and coastal waters lakes from Landsat p0203 A80-51291 [NASA-TM-81881] p02OO N80-34O48 Florida water resources [E80-10246] p0205 N80-30829 INSECTS The applicability of remote sensing to Earth biological Simulation of reservoir and lake sedimentation problems Part 2: The potential of remote sensing in [PB80-182801] P0206 N80-31867 pest management JAPAN Multispectral techniques for remote monitoring of (NASA-CR-163589] pOl78 N80-32830 Earth observation systems in Japan ---for water resources sediment in water: A feasibility investigation INSOLATION study P0205 A80-51310 [PB80-198500] P0207 N8O-33849 Environmental data for sites in the National Solar Data JAPANESE SPACE PROGRAM LAND ICE Network Activities and future plan of earth observation by Space observations for water resources - A potential to [SOLAR/0010-80/02] p0220 N80-31975 satellites p0223 A80-53094 be developed p020l A80-51279

A-14 SUBJECT INDEX LARGE AREA CROP INVENTORY EXPERIMENT

LAND MANAGEMENT As-built design specification for LACIE phase 3 automatic Operational changes for the Kansas State University The application of remote sensing to environmental status and tracking system wheat model management p0181 A80-47750 [E80-10175] p0213 N80-28776 [E80-10223] p0176 N80-29797 Identifying irrigated lands using remote sensing Design specification for LAP SYS procedure 1 follow-on Program on stimulating operational private sector use techniques: State of the Art: Proceedings of the Symposium. [E80-10176] P0213 N80-28777 of Earth observation satellite data Sioux Falls. S. Dak.. November 15. 16. 1979 Design specification for EOD-LARSYS/statistics and data (E80-10233J p0227 N80-29802 p0174 A80-49136 transformation processors modification User manual for the Earth observations Division R and A review of future remote sensing satellite capabilities [E80-10177] p0213 N80-28778 D to OLPARS dot data conversion p0174 A80-49139 Program documentation: Final design specification for [£80-10236] p0216 N80-29805 dot data base update deck conversion program (DOTDEC) Irrigation mapping in western Kansas using Landsat. I - [E80-10178) p0213 N80-28779 As-built design specification for areas added to the Key parameters p0174 A80-49142 Final design specification for ERIPS fields data base deck monthly bases of Texas, Minnesota and USSR LAND USE conversion [E80-10241] p0216 N80-29810 Effects of radar system parameters, population, and (E80-10179] p0213 N80-28780 Sampling of rectangular regions environmental modulation on settlement visibility Detailed design specification for the Yield Estimation [E80-10272] p0176 N80-29819 pO!81 A80-47746 Subsystem Data Management System (YESDAMS) EOD systems and facilities workload requirements Overview of the Landsat system p0174 A80-49137 (E80-10180) P0213 N80-28781 forecast Computer-assisted production of multi-coloured maps Modifications to the CLASY program [E80-10277] p0176 N80-29821 p0209 A80-4952 1 [E80-10181] p0213 N80-28782 Composition and assembly of a spectral data base for A study of the needs of French government agencies in Program documentations: MARQTY1.FTN. corn and soybean multicrop segments --- Missouri. remote sensing mapping p0181 A80-50882 CAMDATA1.FTN Nebraska, South Dakota. Wisconsin. Iowa. Illinois. Information extraction from a Landsat image contained (E80-10182| P0213 N80-28783 Mississippi. Indiana. Kentucky. Minnesota. Michigan, and within an artificial outline p0210 A80-50889 Design specification for dot data base, update deck Louisiana conversion program (DOTDEC) [E80-10281] p0176 N80-29824 The potential of Landsat-3 RBV images for thematic (E80-10183) p0213 N80-28784 mapping --- geomorphological, geological and land cover As-built design specification for Boundary Detection And As-built design specification for Production Film applications p0210 A80-50894 Registration Program (BOARP1) Converter Gains And Biases program (PFCGAB) [E80-10216] p0217 N80-30824 Evaluation of Landsat image data for the extraction of (E80-10184] p0213 N80-28785 land use information and its presentation in thematic Detailed design specification for the automatic status LACIE/ phase 3 Adjustable Crop Calendar (ACC) and tracking system modifications for LACIE procedure 1 maps P0185 A80-50902 configuration control procedures manual [E80-10243] p0217 N80-30826 Application of Landsat-2 data for obtaining land IE80-101861 p0213 N80-28786 Preliminary user guide for the program GTDDM (Ground information p0191 A80-51092 Recommendations and comments concerning Truth Dot Dump) Satellite data for the solution of problems of land documentation on the microwave active spectrometer [E80-10244] p0217 N80-30827 hydrology p0202 A80-51282 systems High Density Tape Reformatting System/LANDSAT Terrain analysis and hydrogeologic interpretations from (E80-10187| p0213 N80-28787 satellite imagery p0202 A80-51285 Functional design specification for enhancement of the imagery verification and Extraction System (HDTRS/ LIVES) automatic status and tracking system software throughput analysis Evaluation of hydrogeologic conditions in Ponnaiyar River [E80-10243] p0217 N80-30831 basin. South India using remotely sensed data [E80-10190] p0214 N80-28788 Implementation specification for Large Area Crop p0203 A80-51288 LACIE field measurements data acquisition summary report. 1975 - 1976 crop year --- Finney County. Kansas; Inventory Experiment (LACIE) phase 3 automatic status Using 70-mm aerial photography to identify rangeland Williams County. North Dakota; and Hand County. South and tracking system sites p0175 A80-53056 Dakota [E80-10249] p0217 N80-30832 Digital LANDSAT data analysis of Tennessee [E80-10193] p0214 N80-28790 As-built design specification for scatter plots for direct [E80-10130] p0212 N80-28768 User's guide: Large Area Crop Inventor/ Experiment wheat Use of collateral information to improve LANDSAT (LACIE) phase 3 POP 11/45 automatic status and tracking [E80-10250] p0217 N80-30833 classification accuracies ••• Ventura County and Klamath Classification with spectral-spatial-temporal archetypes National Forest, California [E80-10194] p0214 N80-28791 [E80-10251] p0217 N80-30834 [E80-102681 p0176 N80-29815 As-built design specification of the CAMS/CAS interface As-built design specification for field statistics Application Explorer Mission-A heat capacity mapping tape report generation program for LACIE 6A (FIELDSTAT) mission — Bavaria. Germany and Marrakech. Morocco [E80-10196] p0214 N80-28793 [E80-10252] p0217 N80-30835 [E80-10309] p0219 N80-30875 As-built design for enhancement of the automatic status As-built design specification for CLASY program LANDSAT data as a basis for regional environmental and tracking system software modification assessment within the Columbia Plateau [E80-10197] p0214 N80-28794 (E80-10253] p0217 N80-30836 [RHO-BWI-SA-43] p0183 N80-31862 As-built design specification for historical daily data bases Detail design specification for enhancement of the Evaluation of remote sensing techniques on selected for testing advanced models --- Kansas. North Dakota, and automatic status and tracking system software forest sites in Florida --- Fort Myers and Gainesville test U.S.S.R. [E80-10254] p0217 N80-30837 sites [E80-10198] p0214 N80-28795 Design specification for merge of BTREAD. Phase 1 and [E80-10296] p0177 N80-32B05 Design specification for LARSYS procedure 1 Phase 2 accuracy assessment programs Irrigated lands assessment for water management |E80-10199] p0214 N80-28796 [E80-10255] p0217 N80-30838 Applications Pilot Test (APT) — California As-built design specification for POP 11/45 accuracy User's guide Large Area Crop Inventory Experiment [E80-10324] p0178 N80-32815 assessment system {LACIE) phase 3 PDP 11/45 automatic status and tracking Applied Remote Sensing Program (ARSP) — Arizona [E80-10200] p0214 N80-28797 system [E80-10330] p0178 N80-32821 As-built design specification of the CAM/CAS interface [E80-10256) p0217 N80-30839 Application of remote sensing to state and regional tape report generation program for LACIE 7 As-built design specification for the problems — Mississippi (E80-10203] p0214 N80-29782 Patterson-Pitt-Thadani minimum loss classifier [E80-10338] p0183 N80-32826 As-built design specification of the CAMS/CAS interface [E80-10262] p0218 N80-30845 LANDMARKS tape report generation program As-built design specification for phase 3 model areas Automatic selection of reference objects for comparing [E80-10204] P0215 N80-29783 added to the monthly data base of the US — Montana. aerial and satellite photographs p0212 A80-52063 Design specification for secondary error sources South Dakota. Oklahoma. Nebraska, and Colorado Investigation of the accuracy of transposition of landmarks multi-temporal Bayes classifier [E80-10263) p0218 N80-30846 and contour points to small-scale aerial photographs (E80-10205] p0215 N80-29784 The integrated analysis procedure for identification of p0212 A80-53005 Design specification for equiprobable blocks density spring small grains and barley --- Great Plains Corridor: LANDSAT D estimatory/classifier/dot selector U.S. and Canada The Landsat-D/Global Positioning System experiment [E80-10206] p0215 N80-29785 [E80-10274] . p0177 N8p-30847 [AIAA PAPER 80-1678] p0209 A80-46522 As-built design specification for the CAMS image-100 Operator's guide for LACIE phase 3 automatic status The utility of Landsat-D for water-resources studies hybrid system. Volume 1: System design and tracking system p0205 A80-51309 [E80-10207] p0215 N80-29786 (ESO-10284] p0218 N80-30852 Landsat-D - Overview and implications As-built design specification for the CAMS image-100 Implementation specification document for merge of 00224 A80-53609 hybrid system. Volume 2: Detailed flow charts and program BTREAD. phase 1. and phase 2 accuracy assessment LANDSAT FOLLOW-ON MISSIONS listings programs A review of future remote sensing satellite capabilities [E80-10208] p0215 N80-29787 [E80-10285] p0218 N80-30853 p0174 A80-49139 As-built specification for CCIT7 processor program Design specification for ERIPS fields data base deck LANDSAT SATELLITES [EBO-10209] p0215 N80-29788 conversion Overview of the Landsat system p0174 A80-49137 Final design specification for LARSYS [E80-10286] p0218 N80-30854 LARGE AREA CROP INVENTORY EXPERIMENT modification/Fisher F-distribution thresholding As-built design specification for the CMAS image-10O As-built specification for CCitSA processor program (£80-102101 p0215 N80-29789 hybrid system. Volume 2: Detailed flowcharts and program [E80-10168] p0212 N80-28769 Final design specification for EOD-LARSYS/data listings, part 1 As-built design specification for LACIE formatted dot transformation processor modification (E80-10289] p0218 N80-30857 cards in EOD-LARSYS [E80-10211] p0215 N80-29790 As-built design specification for the CAMS image-100 [EBO-10169] p0212 N80-28770 Final design specification for EOD-LARSYS procedure hybrid system. Volume 3: Utilities and shared As-built design specification for the Yield Estimation 1 follow-on subroutines Subsystem (YES) operational Robertson phonological [E80-10213] pO215 N80-29791 (E80-10290] p0218 N80-30858 An exploratory study to develop a cluster-based area model Program documentation: As-built design specification (E80-10170) P0212 N80-28771 estimation procedure --- Colorado. Kansas. Minnesota. for Generalized Linear Model Analysis Of Variance program Nebraska, Texas, South Dakota, Oklahoma, and North As-built design specification for the 1-100 tape read (GLMAOV) Dakota consolidation program (FULOI) [E80-10214J p0215 N80-29792 [E80-10171) pO213 N80-28772 (E80-t0295) pO177 NSO-30863 As-built design specification for the Brazil and China Design specification for LACIE formatted dot cards in Evaluating the use of analyst labels in maximum likelihood monthly data bases EOD-LARSYS cluster proportion estimation [£80-10172] pO213 N80-28773 (£80-10215] p0215 N80-29793 (£80-10303) pO219 N80-30870 Final design specification for EOO-LARSYS/statistics and As-built design specification for the Yield Estimation Evaluation of Bayesian sequential proportion estimation data transformation processors modification Subsystem (YES) monthly yield data base and supporting using analyst labels (E80-10173) p0213 N80-28774 programs [E8O-10304] pO219 N80-30871 As-built design specification for EOD-LARSYS procedure (E80-10218) pO215 N80-29795 As-built design specification of the CAMS/CAS interface 1 Program documentation: MARQUIS2.FTN tape report generation program for LACIE 8 [E80-10174] p0213 N80-28775 (£80-10220] pO215 N80-29796 (EBO-10306) p0219 N80-30872 A-15 LARVAE SUBJECT INDEX

As-built specification for CLASSY conversion M Remote sensing of the ocean: Physical, chemical, and [E80-10307J P0219 N80-30873 geologic properties. Citations from the NTIS data base As-built design specification for CCIT8 processor MAGNESIUM [PB80-811235] p0198 N80-30884 program Geochemical balance of the Salgado River basin A continuation of base-line studies for environmentally [E80-10323] p0221 N80-32814 [INPE-1849-RPE/206) p0206 N80-32834 monitoring Space Transportation Systems (STS) at John Development of Al procedures for dealing with the effects F. Kennedy Space Center. Volume 4: Threatened and MAGNETIC ANOMALIES of episodal events on crop temporal spectral response and endangered species of the Kennedy Space Center. Part development of Al guidelines for corn and soybean labeling Improved definition of crustal anomalies for Magsat 1: Marine turtle studies data — Corn Belt [NASA-CR-163122-VOL-4-PT-1] p0183 N80-31969 [E80-10327] p0178 N80-32818 (E80-10270] p0192 N80-29817 MARINE ENVIRONMENTS LARVAE Investigations of medium wavelength magnetic The use of space data for the mapping of coastal areas The applicability of remote sensing to Earth biological anomalies in the eastern Pacific using Magsat data p0185 A80-45297 problems. Part 2: The potential of remote sensing in [E80-10334J p0199 N80-33833 Remote sensing of coastal environment and resources pest management MAGNETIC FIELDS p0202 A80-51281 [NASA-CR-163589] p0178 N80-32830 Investigations of medium wavelength magnetic Earth observation systems in Japan -— for water resources LASER APPLICATIONS anomalies in the eastern Pacific using Magsat data study p0205 A80-51310 Fluorescence lidar — for remote sensing of environments IE80-10334] p0199 N80-33833 Modulation of sea surface radar cross section by surface and atmospheric constituents p0181 A80-48908 MAGNETIC SIGNATURES stress - Wind speed and temperature effects across the Laser studies of the atmosphere and underlying surface Investigations of medium wavelength magnetic Gulf Stream p0196 A80-51415 — Russian book p0182 A80-53131 anomalies in the eastern Pacific using Magsat data Sensing the ocean environment from space Remote sensing of the ocean: Dynamics. Citations from [E80-10334] P0199 N80-33833 p0196 A80-51485 the NTIS data base MAGNETIC STORMS Microwave radiomeuic determination of oceanographic [PB80-81 1243) p0199 N80-30885 Substorm warnings - An ISEE-3 real time data system and meteorological parameters p0223 A80-51579 Sensors for remote sensing p0209 A80-46225 Satellite studies of fresh-water ice movement on Lake [CISE-N-190] p0225 N80-31863 MAGSAT SATELLITES Erie p0205 A80-53611 LASER SPECTROSCOPY Magsat - A new satellite to survey the earth's magnetic The availability of U.S. environmental satellite data to In situ ozone data for evaluation of the laser absorption field p0223 A80-51233 the marine technology community p0197 A80-53683 spectrometer ozone remote sensor: 1979 southeastern MAINE Platform and buoy positioning experiments in the North Virginia urban plume study summer field program An investigation of vegetation and other Earth Sea via Doppler satellite techniques p0197 A80-53691 [NASA-TM-81831] p0183 N80-33928 resource/feature parameters using LANDSAT and other Satellite remote sensing facility for oceanograhic LAW (JURISPRUDENCE) remote sensing data. 1: LANDSAT. 2: Remote sensing applications Operational remote sensing legislation, part 1 of volcanic emissions --- Lower Hudson River estuary: [NASA-CR-163363] p0197 N80-28847 [GPO-45-048] p0228 N80-34294 Maine; White Mountain National Forest. New Hampshire: Seasat. Volume 2: Flight systems Operational remote sensing legislation, part 2 Mt. St. Helens and Metsachee Creek. Washington: and the [NASA-CR-163571] p0199 N80-32829 [GPO-52-581J P0228 N80-34295 Santiaguito and Feugo volcanoes, Guatemala A 94/183 GHz multichannel radiometer for Convair LEAVES (E80-10312] p0225 N80-32807 flights A model of plant canopy polarization response MAN ENVIRONMENT INTERACTIONS [NASA-CR-160032] p0225 N80-33047 [E80-10336] p0179 N80-33835 Experiment aimed at standardizing anthropogenic Passive 19.3 GHz radiometer and aerosol data from the LIGHT SCATTERING changes of the natural environment from satellite and aerial North Sea during MARSEN I. September - October 1979 Allowance for light scattering in the atmosphere in the photographs p0211 A80-52056 [AD-A088229] p0199 N80-33068 processing of space photographs of the earth's surface The use of space photographic data for the study and

MAURITANIA Vegetation clutter model p0173 A80-44262 MINES (EXCAVATIONS) Application of Landsat-2 data for obtaining land . Evaluation of the fire hazard of taiga forests from their Additions and corrections to the bibliography of geologic information p0191 A80-51092 thermal radio emission p0175 A80-496S2 studies. Columbia Plateau (Columbia River Basalt) and MEANDERS Remote sensing applications in hydrometeorology adjacent areas, in Idaho. 1980 The Gulf Stream Meanders experiment: Current meter, p0202 A80-51283 [RHO-BWI-C-68] p0192 N80-32013 atmospheric, and sea level data report for the mooring Microwave emission properties of snow for monitoring Application of remote sensing to state and regional period hydrological parameters p0203 A80-51297 problems --- Mississippi [AD-A088069] p0199 N80-33077 Microwave radiometer measurements of soil moisture [E80-10338] P0183 N80-32826 MEDITERRANEAN SEA content p0176 A80-53890 MINING Study of geological structure of Sicily and other Italian Program on stimulating operational private sector use Recommendations and comments concerning areas -- Gulf of Orosli. Eastern Sardinia of Earth observation satellite data [£80-10299] p0192 N80-30866 documentation on the microwave active spectrometer systems [E80-10233J P0227 N80-29802 MERRITT ISLAND (FL) MINNESOTA [E80-10187] P0213 N80-28787 A continuation of base-line studies for environmentally As-built design specification for areas added to the monitoring space transportation systems at John F. Kennedy The development of a stepped frequency microwave radiometer and its application to remote sensing of the monthly bases of Texas. Minnesota and USSR Space Center. Volume 3. part 1: Ichthyological survey Earth p0224 N80 30822 [EBO-10241) p0216 N80-29810 of lagoonal waters — Indian River lagoon system Composition and assembly of 9 spectral data base for |NASA-CR-163122-VOL-3-PT-1] p0197 N80-28939 Sensors for remote sensing (CtSE-N-190] p0225 N80-31863 corn and soybean multicrop segments --- Missouri. A continuation of base-line studies for environmentally Nebraska, South Dakota, Wisconsin, Iowa. Illinois, monitoring space transportation systems at John F. Kennedy On extracting brightness temperature maps from Mississippi. Indiana. Kentucky, Minnesota. Michigan, and Space Center. Volume 3. pan 2: Ichthyological studies, scanning radiometer data --- techniques for algorithm Louisiana sailfin molly reproduction study design (£80-10281) p0176 N80-29824 [NASA-TM-81989J p0221 N80-32838 [NASA-CH-163122-VOL-3-PT-2] pOI98 N80-28940 AgRlSTARS cropping practices and crop characteristics A continuation of base-line studies for environmentally MICROWAVE RADIOMETERS based on 1979 ESCS observations — Arkansas. monitoring Space Transportation Systems (STS) at John Microwave radiometric determination of oceanographic California. Georgia. Illinois. Iowa. Louisiana, Minnesota, F. Kennedy Space Canter. Volume 4: Threatened and and meteorological parameters p0223 A80-51579 Mississippi. Missouri, Nebraska. North Carolina, North endangered species of the Kennedy Space Center. Part The development of a stepped frequency microwave Dakota, Ohio. Pennsylvania. South Carolina, and Texas 1: Marine turtle studies radiometer and its application to remote sensing of the [E80-10292] pO177 N80-30860 Earth [NASA-CR-163122-VOL-4-PT-1] p01B3 N80-31969 An exploratory study to develop a cluster-based area A continuation of base-line studies for environmentally [NASA-TM-81847] P0224 N80-28637 estimation procedure — Colorado. Kansas. Minnesota. monitoring Space Transportation Systems (STS) at John MICROWAVE SENSORS Nebraska. Texas, South Dakota. Oklahoma, and North F, Kennedy Space Center. Volume 4: Threatened and Conceptual study of a European remote sensing satellite Dakota endangered species of the Kennedy Space Center. Part with combined optical and microwave payload (E80-10295] p0177 N80-30863 2: Threatened and endangered birds and other threatened [BMFT-FB-W-79-18] p0224 N80-29407 MISSION PLANNING and endangered forms Remote sensing of the ocean: Physical, chemical, and Conceptual study of a European remote sensing satellite [NASA-CR-163122-VOL-4-PT-2] p0183 N80-31970 geologic properties. Gtations from the NTIS data base with combined optical and microwave payload METEOROLOGICAL FUGHT [PB80-811235] p0198 N80 30884 [BMFT-FB-W-79-18] p0224 N80-29407 A 94/183 GHz multichannel radiometer for Convair Remote sensing of the ocean: Dynamics. Citations from Report on active and planned spacecraft and flights the NTIS data base experiments [NASA-CR-160032] p0225 N80-33047 [PB80-811243] p0199 N80-30885 (NASA-TM-80905) p0227 N80-31420 METEOROLOGICAL PARAMETERS MICROWAVE SPECTROMETERS MISSIONS Microwave radiometric determination of oceanographic Recommendations and comments concerning HCMM satellite follow-on investigation no. 025: Soil and meteorological parameters p0223 A80-51579 documentation on the microwave active spectromelei moisture and heat budget evaluation in selected European As-built design specification for the Brazil and China systems zones of agricultural and environmental interest (TELLUS monthly data bases [E80-10187] P0213 N80-28787 Project) --- France. Germany, Italy. United Kingdom, and [680-10172] p0213 N80-28773 MINERAL DEPOSITS the Benelux countries As-built design specification for areas added to the Review of BRGM research activities in geological remote [E80-10332] p0178 N80-32823 monthly bases of Texas. Minnesota and USSR sensing and medium-term perspectives MISSISSIPPI (E80-10241) P0216 N80-29810 p0189 A80-50881 Composition and assembly of & spectral data base for As-built design specification for the India monthly data Contribution of Landsat data to the objectives of the corn and soybean multicrop segments --- Missouri. base geological survey of India p0189 A80-51077 Nebraska. South Dakota. Wisconsin. Iowa, Illinois, [E80-10264] P0216 N80-29811 Mississippi. Indiana. Kentucky. Minnesota. Michigan, and The 7th WMO Executive Committe Inter-Government Geological ground-truths and Landsat imagery interpretation for parts of Karnataka State /India/ Louisiana P»nel Session on the First GARP Global Experiment (E80-10281] p0176 N80-29824 [GARP-SPEC-35] p0219 N80-31012 p0190 A80-51080 Environmental data for sites in the National Solar Data Tectonics and lineament patterns of the Vindhyan basin Forest resource information system, phase 3 — St. Regis Network based on Landsat imagery data p0190 A80-51084 Paper Co.: Picayune. Mississippi [SOLAR/0010-80/02] p0220 N80-31975 MINERAL EXPLORATION [E80-10242) p0176 N80-30825 Passive 19.3 GHz radiometer and aerosol data from the Remote sensing and mineral exploration; Proceedings AgRlSTARS cropping practices and crop characteristics North Sea during MAflSEN I, September - October 1979 of the Workshop. Bangalore. India. May 29-June 9. 1979 based on 1979 ESCS observations -•- Arkansas, [AO-A088229] p0199 N80-33068 p0189 A80-51076 California. Georgia, Illinois. Iowa. Louisiana, Minnesota. METEOROLOGY Characteristics of the Landsat system and data for Mississippi. Missouri. Nebraska. North Carolina. North Satellite activities of NOAA. 1979 p0220 N80-31429 geologic applications - Availability of data Dakota. Ohio. Pennsylvania. South Carolina, and Texas Seasat. Volume 2: Flight systems p0190 A80-51078 [E80-10292] p0177 N80-30860 [NASA-CR-163571] p0199 N80-32829 Landsat exploration of Himalayan and Peninsular regions Application of remote sensing to state and regional The United States space observation policy /Remote sensing and mineral exploration - Progress report problems -— Mississippi [NASA-TM-76373] p0228 N80-33425 of work done in India/: I.G.C.P. Project 143 [E80-10338] p0183 N80-32826 METRIC PHOTOGRAPHY p0190 A80-51081 MISSISSIPPI RIVER (US) Aerotriangulation control of large scale photography from Lineaments and their tectonic significance in relation to Monitoring the use of rrverways with aerial photography: small scale photography mineral potential in south India p0190 A80-51085 The development, testing, and evaluation of a computer [PB80-161524] p0224 N80-28853 Surface characteristics of Precambrian stromatolitic assisted methodology MICA [AD-A086471] p0182 N80-30877 Interfacing with SEO technology - A case study in phosphorites of a part of the Indian shield p0191 A80-51037 MISSOURI geological application p0190 A80-51086 Identifying irrigated lands using remote sensing MICE Evaluation of MSS imagery over part of the techniques: State of the Art; Proceedings of the Symposium. A continuation of base-line studies for environmentally asbestos-barytes belt of south-western Cuddapah basin. Sioux Falls. S. Dak. November 15. 16. 1979 monitoring Space Transportation Systems (STS) at John Andhra Pradesh, India p0191 A80-51089 p0174 A80-49136 F. Kennedy Space Center. Volume 4: Threatened and Some results of remote sensing in Yugoslavia Composition and assembly of a spectral data base for endangered species of the Kennedy Space Center. Part p0191 A80-51091 corn and soybean multicrop segments --• Missouri. 2: Threatened and endangered birds and other threatened Aerial gamma ray and magnetic survey: Raton Basin Nebraska. South Dakota, Wisconsin. Iowa. Illinois. and endangered forms project. The Raton and Santa Fe quadrangles of New Mississippi. Indiana. Kentucky. Minnesota, Michigan, and (NASA-CR-163122-VOL-4-PT-2) p0183 N80-31970 Mexico Louisiana MICHIGAN |GJBX-9<80)-VOL-2] p0192 N80-30881 [EBO-10281) p0176 N80-29824 Composition and assembly of a spectral data base for An investigation of vegetation and other Earth AgRlSTARS cropping practices and crop characteristics corn and soybean multicrop segments --- Missouri, resource/feature parameters using LANDSAT and other based on 1979 ESCS observations — Arkansas. Nebraska. South Dakota, Wisconsin, Iowa, Illinois, remote sensing data. 1: LAND SAT. 2: Remote sensing California, Georgia. Illinois. Iowa. Louisiana, Minnesota. Mississippi. Indiana. Kentucky. Minnesota. Michigan, and of volcanic emissions — Lower Hudson River estuary; Mississippi. Missouri. Nebraska. North Carolina. North Louisiana Maine; White Mountain National Forest. New Hampshire; Dakota. Ohio. Pennsylvania South Carolina, and Texas [EBO 10281] P0176 N80-29824 Mt. St. Helens and Met sac nee Creek. Washington; and (he [E80-10292] p0177 N80-30860 MICROMETEOROLOGV Santiaguito and Feugo volcanoes, Guatemala The application of remote sensing to resource HCMM satellite follow-on investigation no. 025: Soil [E80-10312| p0225 N80-32807 management and environmentat qudlity programs in Kansas moisture and heal budget evaluation in selected European Detection of hidden mineral deposits by airborne spectral — kartsas; roy's and phony creeks watersheds; the proposed zones of agricultural and environmental interest (TELLUS analysis of forest canopies tallgrass prairie national park and pin ford lake, missouri. Project) — France. Germany, Italy. United Kingdom, and (PB80-193881] p0193 N80-32845 (E80-10337] p0183 N80-32825 the Benelux countries MINERALOGY MISSOURI RIVER (US) [EBO 10332] p0178 N80-32823 Identifying irrigated lands using remote sensing Measurement results and conclusions on the spectral MICROWAVE EMISSION techniques: State of the Art: Proceedings of the Symposium. reflective coefficients of voicanites. granitoides and Soil moisture estimation by correlated ground-based and Sioux Falls, S. Dak., November 15. 16. 1979 gneisses p0191 A80-51093 Seasat microwave observation p0202 A80-51287 pO174 A80-49136 Development of a soil moisture model for use with passive MINERALS MOISTURE CONTENT microwave remote sensors p0179 N80-33828 Uranium - Spectral discrimination of alteration Evaluation of the fire hazard of taiga forests from their MICROWAVE IMAGERY phenomena in sediments pO189 A80-49524 thermal radio emission p0175 A80-49652 Microwave radiometric aircraft observations of the MINES Remote sensing of total dry-matter accumulation in Fatwy-Perot interference fringes of an ice-water system Applied Remote Sensing Program (ARSP) — Arizona winter wheat p0195 A80-44232 [E80-10330] p0178 N80-32821 [E80-10235] PO176 N80-29804 A-17 MONSOONS SUBJECT INDEX

Using LAND SAT digital data for estimating green biomass As-built design specification for phase 3 model areas The Gulf Stream Meanders experiment: Current meter, — Throekmorton. Texas test site and Great Plans Corridor, added to the monthly data base of the US --- Montana. atmospheric, and sea level data report for the mooring US South Dakota. Oklahoma, Nebraska, and Colorado period [E80-10328] P0178 N80-32819 [E80-10263] P0218 N80-30846 [AD-A088069] P0199 N80-33077 Development of a soil moisture model for use with passive Draft user procedures: Software wheat yield Assessment of the role of remote sensing in the study microwave remote sensors p0179 N80-33828 predictions/foreign equivalent test --- Kansas, Oklahoma, of inland and coastal waters The use of radiation temperature to detect water-stress and Nebraska [NASA-TM-81881] p020O N80-34048 in sugarcane crop •-• Brazil [E80-10287] p0218 N80-30855 NORTH CAROLINA IINPE-1767-TDL/028J p0179 N80-33839 AgRISTARS cropping practices and crop characteristics AgRISTARS cropping practices and crop characteristics MONSOONS based on 1979 ESCS observations — Arkansas. based on 1979 ESCS observations — Arkansas. Floodplains mapping of Gangetic basin using Landsat California, Georgia, Illinois, Iowa, Louisiana, Minnesota, California, Georgia. Illinois. Iowa. Louisiana. Minnesota. imagery p0204 A80-51303 Mississippi, Missouri, Nebraska, North Carolina. North Mississippi, Missouri, Nebraska. North Carolina. North MONTANA Dakota, Ohio. Pennsylvania. South Carolina, and Texas Dakota, Ohio, Pennsylvania. South Carolina, and Texas As-built design specification for phase 3 model areas [E80-10292] p0177 N80-30860 (E80-10292] P0177 N80-30860 added to the monthly data base of the US — Montana. The Gulf Stream Meanders experiment: Current meter, An exploratory study to develop a cluster-based area South Dakota. Oklahoma, Nebraska, and Colorado atmospheric, and sea level data report for the mooring estimation procedure — Colorado, Kansas. Minnesota. [E80-10263] P0218 N80-30846 period Nebraska. Texas. South Dakota. Oklahoma, and North Grizzly bear habitat analysis. Section 3: LANDSAT-1 JAD-A088069] p0199 N80-33077 Dakota multispectral imagery and computer analysis of grizzly bear I EBO-10295) p0177 N80-30863 NORTH DAKOTA habitat •-- Slategoat, Scapegoat and Danaher areas. LACIE field measurements data acquisition summary Montana The application of remote sensing to resource report. 1975 - 1976 crop year — Finney County. Kansas: [NASA-CR-163382) p0177 N80-30867 management and environmental quality programs in Kansas Williams County. North Dakota: and Hand County. South MONTEREY BAY (CA) — kansas; roy's and phony creeks watersheds: the proposed Dakota Ocean chlorophyll studies from a U-2 aircraft platform tallgrass prairie national park and pin ford lake, missouri. [E80-10193] p0214 N80-28790 p0195 A80-45004 [E80-10337] p0183 N80-32825 As-built design specification for historical daily data bases MOROCCO NEPAL for testing advanced models — Kansas, North Dakota, and Application Explorer Mission-A heat capacity mapping Satellite imagery and U.P. Himalayas and Siwalik --- for U.S.S.R mission — Bavaria. Germany and Marrakech. Morocco soil conservation p0204 A80-513O4 [E80-10198] p0214 N80-28795 [E80-10309] p0219 N80-30875 NEPHELOMETERS AgRISTARS cropping practices and crop characteristics MOUNTAINS Polar nephelometer for atmospheric paniculate studies based on 1979 ESCS observations --• Arkansas. The appearance of the Main Ural Fault in a cloud field p0182 A80-52346 California. Georgia. Illinois. Iowa. Louisiana. Minnesota. on space photographs .p0189 A80-49664 NETHERLANDS Mississippi. Missouri. Nebraska. North Carolina. North Satellite imagery and UP. Himalayas and Siwalik — for HCMM satellite follow-on investigation no. 025: Soil Dakota. Ohio. Pennsylvania, South Carolina, and Texas soil conservation p0204 A80-51304 moisture and heat budget evaluation in selected European [E80-10292] p0177 N80-30860 Comparison of interpretations of radar images and space zones of agricultural and environmental interest (TELLUS An exploratory study to develop a cluster-based area photographs of a high degree of generalization on the Project) —- France, Germany. Italy, United Kingdom, and estimation procedure — Colorado. Kansas. Minnesota, example of the Zarkainarskii intrusive massif /southern the Benelux countries Nebraska, Texas, South Dakota. Oklahoma, and North Tien-Shan/ p0212 A80-52066 (E80-10332] P0178 N80-32823 Dakota Use of collateral information to improve LANDSAT NEVADA [E80-10295] p0177 N80-30863 classification accuracies --- Ventura County and Klamath Geologic application of thermal inertia imaging using NORTH SEA National Forest. California HCMM data — Pisgah Crater. California and Walker Lake. Tidal land mapping from Landsat p0185 A80-50896 [E80-10268] p0176 N80-29815 Nevada Test Sites Platform and buoy positioning experiments in the North Aerial gamma ray and magnetic survey: Raton Basin [E80-10229) p0192 N80-29798 Sea via Doppler satellite techniques p0197 A80-53691 project. The Raton and Santa Fe quadrangles of New NEW HAMPSHIRE Observed short-time temperature variations and tidal Mexico An investigation of vegetation and other Earth current constants in the North Sea south east of the Dogger lGJBX-9(80)-VOL-2] p0192 N80-30881 re source/ feature parameters using LANDSAT and other Bank /Comparison of two seasons/ p0197 A80-54060 MULTIPROCESSING (COMPUTERS) remote sensing data. 1: LANDSAT. 2: Remote sensing Satellite monitoring of sea surface pollution --- irish and A multiprocessor implementation of a contextual image of volcanic emissions --- Lower Hudson River estuary; north seas processing algorithm Maine: White Mountain National Forest. New Hampshire: [E80-10329] p0199 N80-32820 | EBO-103131 P0221 N80-32808 Ml. St. Helens and Metsachee Creek. Washington: and the Passive 19.3 GHz radiometer and aerosol data from the MULTISPECTRAL BAND CAMERAS Santiaguito and Feugo volcanoes. Guatemala North Sea during MARSEN I. September - October 1979 Raduga experiment: Multizonal photographing the Earth [E80-10312] p0225 N80-32807 [AD-A088229] p0199 N80-33068 from the Soyuz-22 spacecraft NEW MEXICO NUTS (FRUITS) [NASA-TM-76234] p0225 N80-31857 Aerial gamma ray and magnetic survey: Raton Basin Irrigated lands assessment for water management MULTISPECTRAL BAND SCANNERS project. The Raton and Santa Fe quadrangles of New Applications Pilot Test (APT) — California Analytical geographic gridding of natural objects from Mexico [E80-10324) P0178 N80-32815 aerial and satellite multispectral scanner images [GJBX-9(80>-VOL-2] P0192 N80-30881 p0212 A80-52064 NEW YORK Conceptual study of a European remote sensing satellite Cornell University remote sensing program — New York with combined optical and microwave payload State [BMFT-FB-W-79-18] p0224 N80-29407 [E80-10280] p0227 N80-29823 OCEAN BOTTOM A study of LANDSAT multispectral scanner data tapes An investigation of vegetation and other Earth Altimetry data over trenches and island-arcs and — corrected data and data restoration resource/feature parameters using LANDSAT and other convection in the mantle (RAE-TR-80018] p0220 N80-31864 remote sensing data. 1: LANDSAT. 2: Remote sensing [NASA-CR-163516) p0199 N80-32050 MULTISPECTRAL LINEAR ARRAYS of volcanic emissions --- Lower Hudson River estuary: Investigations of medium wavelength magnetic Advanced solid state Earth resources satellite study Maine: White Mountain National Forest. New Hampshire; anomalies in the eastern Pacific using Magsat data [E80-10232] p0224 N80-29801 Mt. St. Helens and Metsachee Creek. Washington; and the (E80-10334) p0199 N80-33833 MULTISPECTRAL PHOTOGRAPHY Santiaguito and Feugo volcanoes. Guatemala OCEAN CURRENTS Estimates of the accuracy of the brightness conjunction [E80-10312] p0225 N80-32807 Thermal fronts in the Mediterranean according to NOAA of multispectral photographs p0210 A80-49665 NIGERIA 5 satellite radiometer data /September 1977-February Practical aspects of radiative correction of multispectral Use of satellite imagery for the derivation of the 1979/ p0195 A80-48750 video information p0211 A80-52060 hydrogeologic characteristics of a test area in semiarid Observed short-time temperature variations and tidal Imaging in many frequency bands -•• multispectral climates p0202 A80-51284 spaceborne photography p0212 A80-52062 current constants in the North Sea south east of the Dogger NIGHT Bank /Comparison of two seasons/ p0197 A80-54060 The geometric calibration of multispectral photographic The influence of topographic structures on night-time Heat capacity mapping mission project HCM-051 --- East equipment p0186 A80-54024 surface temperatures: Evaluation of a satellite thermal Australian Current and the Tasman Front Comparative experimental study on the use of original image of the upper Rhine plain and the surrounding [E80-10278) 0198 N80-30850 and compressed multispectral LANDSAT data for applied highlands —- Germany and Switzerland P research [E80-10228] p0179 N80-33829 Remote sensing of the ocean: Dynamics. Citations from [DFVLR-FB-80-03] p0220 N80-31865 NITRATES the NTIS data base MULTIVARIATE STATISTICAL ANALYSIS Conversion of nitrogen oxide gases to nitrate particles [PB80-811243] p0199 N80-30885 A discriminant approach to parameter estimation in the in oil refinery plumes p0181 A80-48534 On the inference of oceanic currents or eddies by linear model with unknown variance-covariance matrix NITRIC OXIDE spaceborne altimetry through the dynamic method for the [E80-10192] 00214 N80-28789 Remote sensing of NO using a differential absorption determination of three dimensional density (temperature) lidar p0182 A80-52332 field NITROGEN OXIDES [AO-A088082] p0199 N80-33076 N Conversion of nitrogen oxide gases to nitrate particles The Gulf Stream Meanders experiment: Current meter, in oil refinery plumes p0181 A80-48534 atmospheric, and sea level data report 'or the mooring NASA PROGRAMS NORTH AMERICA period A review of future remote sensing satellite capabilities Quantitative interpretation of Great Lakes remote sensing (AD A088069) p0199 N80-33077 p0174 A80-49139 data p0201 A80-45005 OCEAN DATA ACQUISITIONS SYSTEMS Applications to floods of remote sensing from satellites Operational remote sensing legislation, part 1 Ocean chlorophyll studies from a U-2 aircraft platform p0204 A80-51300 [GPO-45-048] p0228 N80-34294 p0195 A80-45004 Radar backscatter study of sea ice Operational remote sensing legislation, part 2 A telemechanical system for hydrophysical studies in the [AD-A087032] p0198 N80-30618 ocean p0223 A80-45766 (GPO-52-S81) p0228 N80-34295 The integrated analysis procedure for identification of NEBRASKA Substorm warnings - An ISEE-3 real time data system spring small grains and barley •-- Great Plains Corridor: p02O9 A80-46225 Identifying and locating land irrigated by center-pivot U.S. and Canada Landsat application to the study of coastal processes irrigation systems using satellite imagery (£80-10274) P0177 N80-30847 pO174 A80-49140 Correlation of under-ice roughness with satellite and p0203 A80-51292 Composition and assembly of a spectral data base for airborne thermal infrared data --- Beaufort Sea and Arctic OCEAN SURFACE corn and soybean mullicrop segments --- Missouri. Ocean pack ice Ocean chlorophyll studies from a U-2 aircraft platform Nebraska. South Dakota. Wisconsin, Iowa, Illinois. [AD-A085S12] p0198 N80-30880 p0195 A80-45OO4 Mississippi. Indiana. Kentucky. Minnesota. Michigan, and An algorithm for estimating crop calendar shifts of spring Methods for the extraction of long-period ocean wave Louisiana small grains using LANDSAT spectral data parameters from narrow beam HF radar sea echo [E80-10281] p0176 N80-29824 [E80-10314] p0178 N80-328O9 p0195 A80-46O95 A-18 SUBJECT INDEX PARKS

Dynamical interpretation of satellite-sensed thermal Private sector involvement in civil space remote sensing. Practical aspects of radiative correction of multispectral features off Vancouver Island pO195 A80-46315 Volume 2: Appendices video information p0211 A80-52060 Space&orne imaging radar - Geologic and oceanographic [ NASA-TM-62207] p0228 N80-33846 OPTICAL DENSITY applications p0223 A80-47480 OCEANS Turbid water measurements of remote sensing Development of a pulsed 9.5 micron lidar for regional NASA oceanic processes program: Status report, fiscal penetration depth at visible and near-infrared wavelength scale O3 measurement p0181 A80-48909 year 1980 [NASA-TM 81843] p0207 N80-33927 INASA-TM 80233] oi98 N80-29005 The problems of SAR imagery of ocean waves P OPTICAL EMISSION SPECTROSCOPY OFFSHORE ENERGY SOURCES p0196 A80-50300 Large field-of-view interferometers for environmental Landsat detection of oil from natural seeps sensing p0223 A80-48911 Comparison of surface wind stress measurements - p0197 A80-53054 Airborne radar scatterometer versus sonic anemometer OFFSHORE PLATFORMS OPTICAL RADAR Fluorescence lidar --- for remote sensing of environments p0196 A80-51407 Platform and buoy positioning experiments in the North Radar observations of wave transformations in the vicinity Sea via Doppler satellite techniques p0197 A80-53691 and atmospheric constituents p0181 A80-48908 of islands pO196 A80-51408 OHIO Development of a pulsed 9.5 micron lidar for regional Comparisons between wave directional spectra from SAR AgRISTARS cropping practices and crop characteristics scale 03 measurement pOISI A80-48909 and pressure sensor arrays p0196 A80-51409 based on 1979 ESCS observations — Arkansas. Oil film thickness measurement using airborne Modulation of sea surface radar cross section by surface California. Georgia. Illinois. Iowa. Louisiana. Minnesota. laser-induced water Raman backscatter stress - Wind speed and temperature effects across the Mississippi, Missouri. Nebraska. North Carolina. North P0197 A80-52331 Gulf Stream P0196 A80-5U15 Dakota. Ohio. Pennsylvania. South Carolina, and Texas Remote sensing of NO using a differential absorption Microwave radiometric determination of oceanographic [E80-10292] p0177 N80-30860 lidar p0182 A80-52332 and meteorological parameters p0223 A80-51579 OIL EXPLORATION Laser studies of the atmosphere and underlying surface Landsat imagery in oil exploration - Six years of Oil film thickness measurement using airborne — Russian book p0182 A80-53131 laser-induced water Raman backscatter experience P0189 A80-50880 OPTICAL SCANNERS p0197 A80-52331 Application of remote sensing techniques to petroleum Distortion of satellite photographs obtained by scanning exploration in India p0191 A80-51088 systems pO212 A80-52065 Landsat detection of oil from natural seeps Landsat detection of oil from natural seeps ORBIT CALCULATION p019? A80-53054 p0197 A80-53054 The Landsat-D/Global Positioning System experiment Radar altimeter mean return waveforms from OILFIELDS [AIAA PAPER 80-1678] p0209 A80-46522 near-normal-incidence ocean surface scattering Cornell University remote sensing program --- New York Spacecraft trajectories for the remote sensing of the p0224 A80-53891 State earth p0223 A80-49662 Wallops waveform analysis of SEASAT-1 radar altimeter [E80-10280] p0227 N80-29823 ORCHARDS data OIL POLLUTION Aerial color infrared photography applications to [NASA-CR-156869] p0198 N80-29637 Satellite monitoring of sea surface pollution — Irish and citriculture p0175 A80-51944 Seasat-A land applications data processing plan north seas Irrigated lands assessment for water management [E80-10317) p0221 N80-32810 (E80-10329) P0199 N80-32820 Applications Pilot Test (APT) — California On extracting brightness temperature maps from OIL SUCKS {£80-10324] p0178 N80-32815 scanning radiometer data --- techniques for algorithm Oil film thickness measurement using airborne OREGON design laser-induced water Raman backscatter Identifying irrigated lands using remote sensing [NASA-TM-81989] p0221 N80-32838 p0197 A80-52331 techniques: Stateof the An; Proceedings of the Symposium. A 94/183 GHz multichannel radiometer for Convair OKLAHOMA Sioux Falls, S. Dak.. November 15. 16, 1979 As-built design specification for phase 3 model areas p0174 A80-49136 flights [NASA-CR-160032) pO225 N80-33047 added to the monthly data base of the US — Montana. The Columbia River and Tributaries Irrigation Withdrawals South Dakota. Oklahoma. Nebraska, and Colorado Analysis Project - Feasibility analysis and future plans Passive 19.3 GHz radiometer and aerosol data from the (E80-10263) p0210 N80-30846 p0174 A80-49141 Morth Sea during MARSEN I. September - October 1979 Draft user procedures: Software wheat yield LANDSAT data as a basis for regional environmental (AD-A08B229) p0199 N80-33068 predictions/foreign equivalent test --- Kansas. Oklahoma, assessment within the Columbia Plateau Ocean wave sensing. Citations from the NTIS data and Nebraska (RHO-BWI-SA-43] p0183 N80-31862 base [E80-10287] P0218 N80-30855 OUTCROPS [PB80-812878] p0200 N80-34053 An exploratory study to develop a cluster-based area An automatic method of discriminating rock outcrops OCEAN TEMPERATURE estimation procedure — Colorado. Kansas, Minnesota. using Landsat data p019l A80-51094 The three-dimensional structure of the frontal zone of Nebraska. Texas, South Dakota. Oklahoma, and North OXIDATION the Gulf Stream from synchronous satellite and ship data Dakota Airborne sulfur dioxide to sulfate oxidation studies of pO!96 A80-49651 [E80-102951 p0177 NSO-30863 the INCO 381M chimney plume p0182 A80-53269 Observed short-time temperature variations and tidal ONTARIO OZONOMETRY current constants in the North Sea south east of the Dogger Airborne sulfur dioxide to sulfate oxidation studies of Development of a pulsed 9.5 micron lidar for regional Bank /Comparison of two seasons/ pOl97 A80-54060 the INCO 381M chimney plume p0182 A80-53269 scale O3 measurement pOISI A80-48909 OCEANOGRAPHIC PARAMETERS OPERATING SYSTEMS (COMPUTERS) In situ ozone data for evaluation of the laser absorption Ocean chlorophyll studies from a U-2 aircraft platform As-buih design specification of the CAM/CAS interface spectrometer ozone remote sensor: 1979 southeastern p0195 A80-45004 tape report generation program for LACIE 7 Virginia urban plume study summer field program A telerriechanical system for hydrophysical studies in the (E80-10203] P0214 N80-29782 [NASA-TM-81831] p0183 N80-33928 ocean p0223 A80-45766 Design specification for equiprobable blocks density Sensing the ocean environment from space estimatory/classitier/dot selector p0196 A80-51485 (E80 10206) P021S N80-29785 Microwave radiometric determination of oceanographic As-built design specification for the CAMS image-100 and meteorological parameters p0223 A80-51579 hybrid system. Volume 1: System design PACIFIC OCEAN The availability of U.S. environmental satellite data to [E80-10207] p0215 N80-29786 Ocean chlorophyll studies from a U-2 aircraft platform the marine technology community pOl97 A80-53683 As-built design specification for the CAMS image-100 p0195 A80-45OO4 The 7th WMO Executive Committe Inter-Government hybrid system. Volume 2: Detailed flow charts and program Satellite observations of a nutrient upwelling off the coast Panel Session on the First GARP Global Experiment listings of California p0195 A80-45015 [GARP-SPEC-35) p0219 N80-31012 (E80-10208) p0215 N80-29787 Dynamical interpretation of satellite-sensed thermal OCEANOGRAPHY Final design specification for EOD-LARSYS/data features off Vancouver Island p0195 A80-46315 Observation of wavelike motion of the Gaspe Current transformation processor modification Direct measurement of recirculation in the Alaskan P0195 A80-46309 [E80-10211J 0215 N80-29790 Stream pO195 A80-46316 Direct measurement of recirculation in the Alaskan P Design specification for LACIE formatted dot cards in Radar observations of wave transformations in the vicinity Stream pOl95 A80-46316 EOD-LARSYS of islands p0196 A80-51408 Thermal fronts in the Mediterranean according to NOAA Comparisons between wave directional spectra from SAR (E80-10215) p0215 N80-29793 5 satellite radiometer data /September 1977-February and pressure sensor arrays p0196 A80-51409 1979/ 00195 A80-48750 Project development plan for the LANDSAT Imagery Landsat detection of oil from natural seeps Comparison of surface wind stress measurements - Verification and Extraction System (LIVES) p0197 A80-53054 Airborne radar scatterometer versus sonic anemometer [E80-10238] p0216 N80-29807 Satellite remote sensing facility for oceanograhic pOl96 A80-51407 Design specification for a list processing system applications Synthetic aperture radar imaging of ocean waves - [E80-10265] p0216 N80-29812 [NASA-CR-163363] pO197 N80-28847 Comparison with wave measurements Design specification for color coded spectral plots Heat capacity mapping mission project HCM-051 --- East D0196 A80-51411 [E80-10245] p0217 N80-30828 Australian Current and the Tasman Front The development of a stepped frequency microwave High Density Tape Reformatting System/LAND SAT [E80-10278] p0198 N80-30350 radiometer and its application to remote sensing of the imagery verification and Extraction System(HOTRS/LIVES) Investigations of medium wavelength magnetic Earth throughput analysis anomalies in the eastern-Pacific using Magsat data (NASA-TM-81847] p0224 N80-28637 [E80-10248] pO217 N8O-30831 [E80-10334] p0199 N8O-33833 Satellite remote sensing facility for oceanograhic As-built design specification for the CM AS image-10O PAKISTAN applications hybrid system. Volume 2: Detailed flow charts and program An investigation of vegetation and other Earth |NASA CFM 63363) p0197 N80-28847 listings, pan 1 resource/feature parameters using LANDSAT and other NASA oceanic processes program: Status report, fiscal (E80-10289) p0218 N80-30857 remote sensing data. 1: LANDSAT. 2: Remote sensing of volcanic emissions --- Lower Hudson River estuary: year 1980 As-buirt design specification for the CAMS image-10O [NASA-TM-80233] pOl98 N80-29005 Maine: White Mountain National Forest. New Hampshire: hybrid system. Volume 3: Utilities and shared The development of a stepped frequency microwave Mt. St. Helens and Metsachee Creek. Washington: and the subroutines radiometer and its application to remote sensing of the IE80-102901 p021B N&0-30858 Samiagurto and Feugo volcanoes. Guatemala Earth p0224 N80 30822 [E80-10312] p0225 N80-328O7 Remote sensing of the ocean: Physical, chemical, and A multiprocessor implementation of a contextual image PARALLAX geologic properties. Citations from the NTIS data base processing algorithm Errors in automatic pass point mensuration using digital (PB80-8U235) pOl98 N80-30884 (E80-10313] p0221 N 80-3 2 808 techniques Satellite activities of NOAA. 1979 p0220 N80-31429 As-built design specification for a list processing IAD-A087443] pO220 N80-31859 Seasat. Volume 2: Right systems system PARKS [NASA-CFJ-163571] p0199 N8O-32829 (E80-10325) p0221 N80-32816 Monitoring the use of riverways with aerial photography: Private sector involvement in civil space remote sensing. OPTICAL CORRECTION PROCEDURE The development, testing, and evaluation of a computer Volume 1: Report Large field-of-view interferometers for environmental assisted methodology INASA-TM 82206) pO228 N80-33845 sensing pO223 A8O-48911 [AD-A086471] p0182 N80-30877 A-19 PARTICULATE SAMPLING SUBJECT INDEX

PARTICULATE SAMPLING As-built design specification for CLASY program LACIE field measurements data acquisition summary Polar nephelometer for atmospheric paniculate studies modification report. 1975 - 1976 crop year — Finney County, Kansas: p0182 A80-52346 [E80-10253] p0217 N80-30836 Williams County. North Dakota: and Hand County. South PATTERN RECOGNITION Classification of multispectral images according to Dakota Segmentation-based boundary modeling for natural crosswise textural characteristics --- Mato Grasso. Brazil [E80-10193] P0214 N80-26790 terrain scenes p0209 A80 44297 [E80-10257] P0218 N80-30840 AgRISTARS cropping practices and crop characteristics Unsupervised classification of MSS Landsat data for Evaluating the reforested area for the municipality of Buri based on 1979 ESCS observations — Arkansas, mapping spatially complex vegetation p0173 A80-47744 by automatic analysts of LANDSAT imagery --- Sao Paulo. California. Georgia, Illinois. Iowa, Louisiana. Minnesota. Separability of agricultural cover types in spectral Brazil Mississippi. Missouri. Nebraska, North Carolina, North channels and wavelength regions p0173 A80-49100 (E80-10258J p0176 N80-30841 Dakota, Ohio, Pennsylvania, South Carolina, and Texas Remotely sensed data processing techniques, present and Use of LANDSAT data for estimating the area of sugar IE80-10292] p0177 N80-30860 future p0209 A80-49138 cane in the state of Sao Paulo --- Brazil Use of soil moisture information in yield models Automatic mapping of snow cover by means of Landsat [E80-10260] 0177 N80-30843 [E80-10302] P0177 N80-30869 - Application to the centra) Pyrenees p0185 A80-50888 P An algorithm for estimating crop calendar shifts of spring Information extraction from a Landsat image contained Utilization of LANDSAT data to inventory the sugar cane small grains using LANDSAT spectral data in the state of Sao Paulo within an artificial outline p0210 A80-50889 [E80-10314] P0178 N80-32809 The detection of linear features using Landsat data [E80-10261] p0177 N80-30844 Using LANDSAT digital data for estimating green biomass p0210 A80-51013 As-built design specification for the — Throckmorton. Texas test site and Great Plans Corridor, Interfacing with SEO technology - A case study in Patterson-Pitt-Thadani minimum loss classifier US geological application p0190 A80-51086 [E80-10262) p0218 N80-30845 [E80-10328] p0178 N80-32819 Automatic selection of reference objects for comparing The integrated analysis procedure for identification of Infrared-temperature variability in a large agricultural field aerial and satellite photographs p0212 A80-52063 spring small grains and barley --- Great Plains Corridor: -•- Dunnigan. California Applications of statistics to thematic mapping U.S. and Canada [E80-10331] p0178 N80-32822 p0186 A80-53051 [E80-10274] p0177 N80-30847 A model of plant canopy polarization response Design specification for LARSYS procedure 1 follow-on Statistical Outlier Detection (SOD): A computer program |E80-10336| P0179 N80-33835 [E80-10176] p0213 N80-28777 for detecting outliers in data — AgRISTARS Project PHOSPHATES Program documentation: Final design specification for IE80-10275] p0218 N80-30848 Surface characteristics of Precambrian stromatolitic dot data base update deck conversion program (DOTDEC) Estimation of probabilities of label imperfections and phosphorites of a pan of the Indian shield [E80-10178) p0213 N80-28779 correction of mislabels p0191 A80-51087 Modifications to the CLASY program [E80-10288] p0218 N80-30856 PHOTOACOUSTIC SPECTROSCOPY [E80-10J81] P02I3 N80-28782 As-buift design specification of the CAMS/CAS interface Thermal balance of soils A discriminant approach to parameter estimation in the tape report generation program for LACIE 8 [INPE-1859-RPE/210] pOISO N80-33841 linear model with unknown variance-covariance matrix PHOTOGEOLOGY [E80-10306] P0219 N80-30872 [E80-10192] p0214 N80-28789 As-buitt specification for CLASSY conversion The Mesozoic and Cenozoic depressions of the As-built design specification of the CAMS/CAS interface [E80-10307] p0219 N80-30873 Baikato-Amur region from the interpretation of space tape report generation program for LACIE 6A A hill-sliding strategy for initialization of Gaussian clusters photographs p0189 A80-49654 [E80-10196] P0214 N80-28793 in the multidimensional space Characteristics of the representation of tectonic faults Digital image technology 1980: Emerging production [NASA-TM-80721] p0219 N80-31072 on space photographs p0189 A80-49663 applications High Density Tape Reformatting System/LANDSAT Landsat imagery in oil exploration - Six years of [AD-A085163] P0214 N80-28851 Imagery Verification and Extraction System (HDTRS/UVES) experience p0189 A80-50880 User documentation E00-LARSYS Earth Observations production test throughput analysis Review of BRGM research activities in geological remote Division version of the Laboratory for Applications of Remote [E80-10319] p0221 N80-32811 sensing and medium-term perspectives sensing system Operation plan for the High Density Tape/LANDSAT p0189 A80-50881 [E80-10188] p0214 N80-29780 Imagery Verification and Extraction System (HDT/LIVES) The potential of Landsat-3 RBV images for thematic As-built design specification of the CAMS/CAS interface data processing support mapping -— geomorphological. geological and land cover tape report generation program [E80-10322] p0221 N80-32813 applications p0210 A80-50894 [E80-10204] P0215 N80-29783 As-built design specification for CCIT8 processor Characteristics of the Landsat system and data for Design specification for secondary error sources program geologic applications - Availability of data multi-temporal Bayes classifier [E80-10323] p0221 N80-32814 p0190 A80-51078 [E80-10205] P0215 N80-29784 As-built design specification for a list processing Geological ground-truths and Landsat imagery Design specification for equiprobable blocks density system interpretation for parts of Karnataka State /India/ estimatory/classifier/dot selector (EBO-10325] p0221 N80-32816 p019O A8O-51080 [E80-10206] p0215 N80-29785 On extracting brightness temperature maps from Landsat exploration of Himalayan and Peninsular regions As-built design specification for the CAMS image-100 scanning radiometer data --- techniques for algorithm /Remote sensing and mineral exploration - Progress report hybrid system. Volume 2: Detailed flow charts and program design of work done in India/: I.G.C.P. Project 143 listings [NASA-TM-81989] p0221 N80-32838 p0190 A80-51081 [E80-10208] p0215 N80-29787 Development of a method to detect geologic faults and Fracture mapping of the Narmada-Tapti basin using Final design specification for EOD-LARSYS procedure other linear features from LANDSAT images Landsat imagery p0190 A80-51082 1 follow-on [PB80-189665] p0193 N80-32844 Lineament study of the Bastar district, Madhya Pradesh, [E80-10213J P0215 N80-29791 A multi-step method for avalanche zone recognition and India, from Landsat imagery p0190 A80-51083 Design specification for a merging program for formatted analysis — San Juan Mountains (co) p0193 N80-33824 image data files Tectonics and lineament patterns of the Vindhyan basin Utilization of spectral-spatial information in the based on Landsat imagery data p0190 A80-51084 [E80-10234] p0216 N80-29803 classification of imagery data User manual for the Earth observations Division R and Lineaments and their tectonic significance in relation to [E80-10321] p0222 N80-33832 mineral potential in south India p0190 A80-51085 D to OLPARS dot data conversion Contributions of LANDSAT imagery to the geological Interfacing with SEO technology - A case study in [E80-10236] p0216 N80-29805 mapping of the Rio do Grande Sul Shield — Brazil geological application p0190 A80-51086 Project development plan for the LANDSAT Imagery [INPE-1838-RPE/ 199] p0193 N80-33842 Verification and Extraction System (LIVES) PATTERN REGISTRATION Surface characteristics of Precambrian stromatolitic [E80-10238] P0216 N80-29807 As-built design specification for Boundary Detection And phosphorites of a part of the Indian shield Test plan for the LANDSAT Imagery Verification and Registration Program (BDARP1) p0191 A80-51087 Extraction System (LIVES) (E80-10217] p0215 N80-29794 Application of remote sensing techniques to petroleum (E80-10239] p0216 N80-29808 Maximal analysis labeling procedure (preliminary) exploration in India p0191 A80-51088 Preliminary design specification for the LANDSAT [E80-10294] P0219 N80-30862 Use of Landsat data products for geological mapping - Imagery Verification and Extraction System (LIVES) PENINSULAS A case history in Tamilnadu. India p0191 A80-51090 [E80-10240] p0216 N80-29809 Mapping a geologicostructural scheme of the Kola Some results of remote sensing in Yugoslavia Design specification for o list processing system peninsula from satellite imagery p0211 A80-52053 P0191 A80-51091 [E80-10265J p0216 N80-29812 PENNSYLVANIA Application of Landsat-2 data for obtaining land AgRI STARS cropping practices and crop characteristics Pixel labeling by supervised probabilistic relaxation information p0191 A80-51092 based on 1979 ESCS observations --- Arkansas. [E80-10267] P0216 N80-29814 Measurement results and conclusions on the spectral California, Georgia. Illinois, Iowa. Louisiana, Minnesota. reflective coefficients of volcanites. granitoides and Use of collateral information to improve LANDSAT Mississippi. Missouri. Nebraska. North Carolina. North gneisses p0191 A80-51093 classification accuracies --- Ventura County and Klamath Dakota, Ohio. Pennsylvania. South Carolina, and Texas National Forest. California [E80-10292] p0177 N80-30860 An automatic method of discriminating rock outcrops [E80-10268] p0176 N80-29815 PETROLOGY using Landsat data p0191 A80-51094 Sampling of rectangular regions Uranium - Spectral discrimination of alteration L-band radar and geology - Some results in south-east [E80-10272] p0176 N80-29819 phenomena in sediments p0189 A80-49524 Of France p0191 A80-5109S Some approaches to optimal cluster labeling of aerospace Measurement results and conclusions on the spectral Evaluation of hydrogeologic conditions in Ponnaiyar River imagery reflective coefficients of volcanttes. granitoides and basin. South India using remotely sensed data [E80-10273) p0216 N80-29820 gneisses p0191 A80-51093 p0203 A80-S1288 Degradation of picture quality by speckle in coherent An automatic method of discriminating rock outcrops Remote sensing in search for ground water - Some case mapping systems pO217 N80-30821 using Landsat data p0191 A80-51094 histories P0203 A80-51289 As-built design specification for Boundary Detection And Additions and corrections to the bibliography of geologic Application of Landsat imagery to ground water studies Registration Program (BOARP1) studies. Columbia Plateau {Columbia River Basalt) and in parts of Punjab and Han/ana states. India [E60 10216] p0217 N80-30824 adjacent areas, in Idaho. 1980 p0203 A80-51290 [RHO-BWI-C-68] p0192 N80-32013 Forest resource information system, phase 3 — St. Regis New data on the geological structure of the PHENOLOGY Paper Co.: Picayune. Mississippi Verkhoiany-Kolyma fold region from an analysis of satellite As-built design specification for the Yield Estimation [E80-10242J 0176 N80-30825 TV images p0211 A80-52051 P Subsystem (YES) operational Robertson phonological Design specification for color coded spectral plots model Geological anarysis of the Urals-Oman superlineament [E80-10245] p0217 N80-30828 [E8O-10170] p0212 N80-28771 from satellite imagery pO211 A80-52052 High Density Tape Reformatting System/LANDSAT Program documentations: MARQTY1.FTN. Mapping a geologicostructural scheme of the Kola imagery verification and Extraction System (HDTRS/UVES) CAMDATA1.FTN peninsula from satellite imagery p0211 A80-52053 throughput anafysis [E8O-10182] p0213 N80-28783 Experiment with the composition of a geological map [E80-10248] p0217 N80-30831 LACIE/phase 3 Adjustable Crop Calendar (ACC) on the basis of interpretations of Meteor satellite television Classification with spectral-spatial-temporal archetypes configuration control procedures manual images /using Central Asia as an example/ [E80-10251] p0217 N80-3O834 [E80-10186] p0213 N80-28786 p0211 A80-520S4 A-20 SUBJECT INDEX PLANTS (BOTANY)

Analysis of the results of an interpretation of satellite Experiment with the composition of a geological map Remote sensing application in ground water surveys and and aerial protography of Western Uzbekistan on the basis of interpretations of Meteor satellite television exploration in India p0202 A80-51280 p0211 A80-52055 images /using Central Asia as an example/ Satellite data for the solution of problems of land Comparison of interpretations of radar images and space p0211 A80-52054 hydrology p0202 A80-51282 photographs of a high degree of generalization on the Analysis of the results of an interpretation of satellite Soil moisture estimation by correlated ground-based and example of the Zarkainarskii intrusive massif /southern and aerial protography of Western Uzbekistan Seasat microwave observation p0202 A80-51287 p0211 A80-52055 Tien-Shan/ p0212 A80-52066 Mapping a geologicostructural scheme of the Kola Investigation of the accuracy of transposition of landmarks Experiment aimed at standardizing anthropogenic changes of the natural environment from satellite and aerial peninsula from satellite imagery p0211 A80-52053 and contour points to small-scale aerial photographs Experiment with the composition of a geological map p0212 A80-53005 photographs p0211 A80-52056 Comparison of interpretations of radar images and space on the basis of interpretations of Meteor satellite television An automated aerial-photographic information-search photographs of a high degree of generalization on the images /using Central Asia as an example/ system pO186 A80-54023 example of the Zarkainarskii intrusive massif /southern p0211 A80- 52054 Digital LANDSAT data analysis of Tennessee Tien-Shan/ p0212 A80-52066 Automatic selection of reference objects for comparing (E80-10130] p0212 N80-28768 Landsat detection of oil from natural seeps aerial and satellite photographs p0212 A80-52063 Geologic application of thermal inertia imaging using p0197 A80-53054 Analytical geographic gridding of natural objects from HCMM data — Pisgah Crater. California and Walker Lake. Using 70-mm aerial photography to identify rangeland aerial and satellite multispectral scanner images Nevada Test Sites sites p0175 A80-53056 p0212 A80-52064 IE80-10229J pOI92 N80-29798 An automated aerial-photographic information-search Results of the complex processing of photographs taken Geologic application of thermal inertia imaging using system P0186 A80-54023 from the Salyut space stations p0212 A80-53004 HCMM data Pixel labeling by supervised probabilistic relaxation Investigation of the accuracy of transposition of landmarks [E80-10231] p0192 N80-29800 [E80-10267] p0216 N80-29814 and contour points to small-scale aerial photographs LANDSAT data as a basis for regional environmental Use of collateral information to improve LANDSAT p0212 A80-53005 assessment within the Columbia Plateau classification accuracies --- Ventura County and Klamath Applications of statistics to thematic mapping [RHO-BWI-SA-431 p0183 N80-31862 National Forest, California P0186 A80-53051 An investigation of vegetation and other Earth [£80-10268] pOI76 N80-29815 An automated aerial-photographic information -search resource/feature parameters using LANDSAT and other Sampling of rectangular regions system p0186 A80-54023 remote sensing data. 1: LANDSAT. 2: Remote sensing [E80-10272] p0176 N80-29819 The use of space photographic data for the study and of volcanic emissions -— Lower Hudson River estuary; Degradation of picture quality by speckle in coherent mapping of anthropogenic landscapes pOl86 A80-54025 Maine; White Mountain National Forest. New Hampshire: mapping systems p0217 N80-30821 Use of LANDSAT data for estimating the area of sugar Mt. St. Helens and Metsachee Creek. Washington: and the A labeling technology for LANDSAT imagery cane in the state of Sao Paulo -— Brazil Santiaguito and Feugo volcanoes. Guatemala (£80-10293) p0219 N80-30861 [E80-10260) pOl77 N80-30843 (E80-I0312J p0225 N80-32807 Maximal analysis labeling procedure {preliminary) Utilization of LANDSAT data to inventory the sugar cane (E80-10294] 0219 N80-30862 Development of a method to detect geologic faults and P in the state of Sao Paulo An exploratory study to develop a cluster-based area other linear features from LANDSAT images [E80-10261) p0177 N80-30844 [PB80-189665) p0193 N80-32844 estimation procedure --- Colorado, Kansas. Minnesota. Sensors for remote sensing Nebraska. Texas, South Dakota, Oklahoma, and North (CISE-N-190] p0225 N80-31863 Contributions of LANDSAT imagery to the geological Dakota mapping of the Rio do Grande Sul Shield — Brazil Applied Remote Sensing Program (ARSP) •-- Arizona (E80-10295] p0177 N80-30863 (E80-10330] pO!78 N80-32821 [INPE.1838-RPE/199] p0193 N80-33842 Soil moisture in relation to geologic structure and Digital filtering of LANDSAT images as a visual aid Planning and execution of a photographic mission over lithology. northern California a wheat producing region in Rio Grande do Sul. Brazil technique in geological photointerpretation (E80-10298) p0192 N80-30865 [INPE-1793-RPE/165] 0179 N80-32833 (INPE.1823-RPE/189) p0193 N80-33843 P Monitoring the use of riverways with aerial photography: Characterization of Cerrado vegetation using PHOTOGRAMMETRY The development, testing, and evaluation of a computer automatically classified LANDSAT MSS data A photog ram metric method of processing space assisted methodology (INPE-179O-RPE/162] p0179 N80-32835 photographs p0185 A80-46967 [AD-A086471] p0182 N80-30877 PHOTOMETERS A color plotter system and its applications in Remote sensing of wildland resources: A state-of-the-art Advanced solid state Earth resources satellite study geoscience p0209 A80-49099 review [E80-10232] p0224 N80-29801 Cartographic processing and analysis of satellite imagery; [PB80-184609] p0177 N80-30882 PHOTOMETRY International Conference. 3rd. Toulouse. France. June Irrigated lands assessment for water management Photometric problems, solved by means of space 19-22. 1979. Proceedings pO185 A80-50876 Applications Pilot Test (APT) --- California photography p0209 A80-49657 (£80-10324) p0178 N80-32815 The geometric calibration of multispectral photographic Invariant photometric features of natural objects Infra red-temperature variability in a large agricultural field equipment p0186 A80-54024 p0211 A80-52058 --- Dunnigan. California Aerotriangulation control of large scale photography from PHOTOSYNTHESIS (680-10331] p0178 N80-32822 Use of soil moisture information in yield models small scale photography The application of remote sensing to resource [PB8Q-1615241 pO224 N80-28853 [E80-10302] pOl77 N80-30869 management and environmental quality programs in Kansas PLAINS PHOTOGRAPHIC EQUIPMENT — kansas; roy's and phony creeks watersheds: the proposed Sensors for remote sensing Development and application of Landsat-derived tallgrass prairie national park and pin ford lake, missouri. irrigation cropland maps for water use determination in [CISE-N-190] p0225 N80-31863 IE80-10337| p0183 N80-32825 the High Plains p0175 A80-49144 PHOTOGRAPHIC PROCESSING Development of a method to detect geologic faults and PLANETARY MAPPING Collection, processing, and distribution of remote sensing other linear features from LANDSAT images Computer-assisted production of multi-coloured maps data from Brazilian Receiving Station (PB80-189665] p0193 N80-32844 P0209 A80-49521 [INPE-1784-RPE/156] p0221 N80-32832 Digital filtering of LANDSAT images as a visual aid Analytical geographic gridding of natural objects from PHOTOGRAPHIC RECORDING technique in geological photointerpretation aerial and satellite multispectral scanner images Monitoring the use of riverways with aerial photography: (INPE-1823-RPE/189] p0193 N80-33843 P0212 A80-52064 The development, testing, and evaluation of a computer PHOTOMAPPING Distortion of satellite photographs obtained by scanning assisted methodology Ocean chlorophyll studies from a U-2 aircraft platform systems p0212 A80-52065 (AD-A086471] p0182 N80-30877 p0195 A80-45004 Results of the complex processing of photographs taken PHOTOGRAPHS The use of space data for the mapping of coastal areas from the Salyut space stations p0212 A80-53004 US Geological Survey sources of photographs and images p0185 A80-45297 The use of space photographic data for the study and of biosphere reserves taken from spacecraft and aircraft. A phot ogram metric method of processing space mapping of anthropogenic landscapes pOl86 A80-54025 San Joaquin Experimental Range . photographs p0185 A80-46967 PLANKTON |PB80-t69295l p0192 N80-28852 The application of remote sensing to environmental Optical methods for the study of biocenoses on land management pOISI A80-47750 PHOTOINTERPRETATION and sea p0201 A80-49656 A method for mapping soil reflectance Dynamical interpretation of satellite-sensed thermal Nimbus-7 coastal zone color scanner- System description p0175 A80-49655 features off Vancouver Island p0195 A80-46315 and initial imagery p0197 A80-51490 Photometric problems, solved by means of space Phytoplankton pigments from the Nimbus-7 Coastal Zone Information extraction from a-Landsat image contained photography p0209 A80-49657 within an artificial outline p0210 A80-50889 Color Scanner - Comparisons with surface measurements Cartographic processing and analysts of satellite imagery: P0197 A80-51491 Tho detection of linear features using Landsat data International Conference. 3rd. Toulouse. France. June PLANT STRESS p0210 A80-51013 19-22. 1979. Proceedings pO185 A80-50876 Soil water and plant canopy effects on remotely measured Remote sensing and mineral exploration; Proceedings Inventory, mapping and evaluation of the agricultural surface temperatures p0173 A80-47748 of the Workshop. Bangalore. India. May 29-June 9. 1979 potential of soils - Status of studies and needs of remote Remote sensing of total dry-matter accumulation in p0189 A80-51076 sensing p0175 A80-50877 winter wheat Geological ground-truths and Landsat imagery Cartographic display of space information - The different |ESO-10235) pO176 N80-29804 interpretation for parts of Karnataka State /India/ methods available at IGN pO210 A80-50879 Use of soil moisture information in yield models p0190 A80-51080 Landsat imagery in oil exploration - Six years of [E80-10302] p0177 N80-30869 Interfacing with SEO technology - A case study in experience p0189 A80-50880 The use of radiation temperature to detect water-stress geological application p0190 A80-51086 Review of BRGM research activities in geological remote in sugarcane crop •-- Brazil Application of Landsat-2 data for obtaining land sensing and medium-term perspectives (INPE-1767-TDL/028) pO179 N80-33839 information p0191 A60-51092 p0189 A80-50881 PLANTING Measurement results and conclusions on the spectral A study of the needs of French government agencies in AgRISTARS cropping practices and crop characteristics reflective coefficients of volcanites, granttoides and remote sensing mapping p0181 A80-50882 based on 1979 ESCS observations — Arkansas. gneisses p0191 A80-51093 The combined plotting of satellite photographs and aerial California. Georgia, Illinois. Iowa, Louisiana, Minnesota. An automatic method of discriminating rock outcrops photographs for topographic mapping pO185 A80-50895 Mississippi. Missouri. Nebraska. North Carolina. North using Landsat data pOtSI A80-5I094 Dakota. Ohio. Pennsylvania. South Carolina, and Texas Fracture mapping of the Narmada-Tapti basin using Terrain analysts and hydrogeotogic interpretations from [E80-IO292J p0177 N80-3036O Landsat imagery p0190 A80-51O82 satellite imagery pO202 A80-51285 PLANTS {BOTANY} Application of Landsat imagery to ground water studies Evaluation of MSS imagery over pan of the Grizzfy bear habitat analysis. Section 3: LANDSAT 1 in parts of Punjab and Haryana states. India asbestos-barytes belt of south-western Cuddapah basin. muttispectral imagery and computer analysts of grizzly bear pO203 A80-51290 Andhra Pradesh, India pO191 A80-51089 habitat --- Slategoat. Scapegoat and Oanaher areas. Aerial color infrared photography applications to Use of Landsat data products for geological mapping - Montana cimcufture pO175 A8O-51944 A case history in TamiJnadu, India pO19l A80-5J090 [NASA-CR-163382} pO177 N80-30867 Mapping a geologicostructural scheme of the Kola Some results of remote sensing in Yugoslavia Applied Remote Sensing Program (ARSP) — Arizona peninsula from satellite imagery pO211 A80-52053 pO191 A8O-51O91 (E80-10330] p0178 N8O-32821 A-21 PLATEAUS SUBJECT INDEX

The application of remote sensing to resource PRODUCT DEVELOPMENT Study of the atmospheric effects on the radiation detected management and environmental quality programs in Kansas Program on stimulating operational private sector use by the sensor aboard orbiting platforms (ERTS/LANDSAT) -~• kahsas: roy's and phony creeks watersheds; the proposed of Earth observation satellite data — Ribeirao Preto and Brasilia. Brazil taflgrass prairie national park and pin ford lake, missouri. [E80-10233] p0227 N80-29802 [E80-10259] p0218 N80 30842 [E80-10337] p0183 N80-32825 PRODUCTIVITY The contribution of the diffuse light component to the PLATEAUS Remote sensing of total dry-matter accumulation in topographic effect on remotely sensed data Lineament study of the Bast a r district. Madhya Pradesh, winter wheat [NASA-TM-80728] p0186 N80-30876 India, from Lands at imagery p0190 A00-51083 [E80-10235) p0176 N80-29804 RADIATION ABSORPTION LAND SAT data as a basis for regional environmental PROGRAM VERIFICATION (COMPUTERS) Simulation of solat radiation absorption in vegetation assessment within the Columbia Plateau Test plan for the LAND SAT Imagery Verification and canopies p0173 A80-46451 (RHO-BWI-SA-43) p0183 N80-31862 Extraction System (LIVES) RADIATIVE TRANSFER Additions and corrections to the bibliography of geologic [E80-10239) p0216 N80-29808 Study of the atmospheric effects on the radiation detected studies. Columbia Plateau (Columbia Rivet Basalt) and High Density Tape Reformatting System/ LAND SAT by the sensor aboard orbiting platforms (ERTS/LANDSAT) adjacent areas, in Idaho, 1980 --• Ribeirao Preto and Brasilia. Brazil Imagery Verification and Extraction System (HDTRS/ LIVES) [RHO-BWI-C-68] P0192 N80-32013 production test throughput analysis [E80-10259) p0218 N80-30842 PLATES (TECTONICS) [E80-10319] 0221 N80-32811 Further developments of the TELL-US model. 1: An The coordinated federal program for the application of P implicit finite difference scheme for the numerical space technology to crustal dynamics and earthquake PROJECTIVE GEOMETRY approximation of the ground heat flux. 2: A simple research Image transformation study algorithm for estimating the actual and potential [NASA-TM-82215] p0187 N80-33999 IAD-A086070] p0216 N80-29828 evapotranspiration of vegetated surfaces from one remotely PLOTTERS Bonne's projection of Meteosat images •-• subroutines sensed surface temperature near the daily maximum A color plotter system and its applications in (CSIR-SR-FIS-201) P0222 N80-33837 [E80-10333] p0178 N80-32824 geoscience p0209 A80-49099 PROJECTORS Development of a soil moisture model for use with passive Terrain analyst synthesizer station Raduga experiment: Multizonal photographing the Earth microwave remote sensors p0179 N80-33828 [AD-A087370] p0187 N80-31860 from the Soyuz-22 spacecraft RADIO ALTIMETERS PLUMES [NASA-TM-76234] P0225 N80-31857 Radar altimeter mean return waveforms from Conversion of nitrogen oxide gases to nitrate particles PULSE RADAR near-normal-incidence ocean surface scattering in oil refinery plumes pO!81 A80-48534 Development of a pulsed 9.5 micron lidar for regional p0224 A80-53891 Airborne sulfur dioxide to sulfafe oxidation studies of scale 03 measurement p018t A80-489O9 Wallops waveform analysis of SEASAT-1 radar altimeter the INCO 381M chimney plume p0182 A80-53269 PUSHBROOM SENSOR MODES data Anomalous snowfall caused by natural-draft cooling Advanced solid state Earth resources satellite study INASA-CR-1568691 p0198 N80-29637 towers On the inference of oceanic currents or eddies by [E80-10232] P0224 N80-29801 [RAND/N-1479-OOE] p0206 N80-32024 spaceborne altimetry through the dynamic method for the PYRENEES MOUNTAINS (EUROPE) POINTING CONTROL SYSTEMS determination of three dimensional density (temperature) Automatic mapping of snow cover by means of Landsat Advanced solid state Earth resources satellite study field - Application to the central Pyrenees pOISS A80-5Q888 [E80-10232) pO224 N80-29801 IAD-A088082) p0199 N80-33076 POLICIES RADIO INTERFEROMETERS The United States space observation policy Satellite Emission Radio Interferometric Earth Surveying [NASA-TM-76373) p0228 N80-33425 (SERIES) — astrometry p0186 N80-28838 POLLUTION MONITORING NASA geodetic applications of the Mark 3 VLB! Conversion of nitrogen oxide gases to nitrate particles RADAR CROSS SECTIONS system p0186 N80-28841 in Oil refinery plumes p0181 A80-48534 Comparison of surface wind stress measurements - RADIOMETERS A 94/183 GHz multichannel radiometer for Convair Oil film thickness measurement using airborne Airborne radar scatterometer versus sonic anemometer flights laser-induced water Raman backscatter p0196 A80-51407 [NASA-CR-160032] p0225 N80-33047 p0197 A80-52331 Modulation of sea surface radar cross section by surface RAIN stress - Wind speed and temperature effects across the Demote sensing of NO using a differential absorption Remote sensing applications in hydrometeoiology Gulf Stream p0196 A80-5U15 lidar p0182 A80-52332 p0202 A80-51283 Sensors for remote sensing RADAR ECHOES Study of floods in Bangladesh and India with the help [CISE-N-190] p0225 N80-31863 Methods for the extraction of long-period ocean wave of meteorological satellites p0204 A80-51306 Fie mote sensing procedures for detecting and monitoring parameters from narrow beam HF radar sea echo Florida water resources. Executive summary various activities regulated by the Mobile District p0195 A80-46095 [E80-10247) p0205 N80-30830 (AD-A087584) p0206 N80-31973 Radar altimeter mean return waveforms from Development of techniques to specify cloudiness and A quantitative evaluation of LAND SAT for monitoring near-normal-incidence ocean surface scattering rainfall rate using GOES imagery data suspended sediments in a fluvial channel P0224 A80-53891 [AD-A084757J • p0206 N80-33064 p0206 N80-33823 RADAR IMAGERY RAIN FORESTS Multispectral techniques for remote monitoring of Spaceborne imaging radar - Geologic and oceanographic The use of LANDSAT data for evaluation and sediment in water: A feasibility investigation applications p0223 A80-47480 characterization of deforested pastureland and reforested [PB80-198500J P0207 N80-33849 Effects of radar system parameters, population, and areas in Brazil [INPE-1794-RPE/166] pOI79 N80-32836 In situ ozone data for evaluation of the laser absorption environmental modulation on settlement visibility spectrometer ozone remote sensor: 1979 southeastern p0181 A80-47746 RANGELANOS Using 70-mm aerial photography to identify rangeland Virginia urban plume study summer field program The problems of SAR imagery of ocean waves sites p0175 A80-53056 [NASA-TM-81831] p0183 N80-33928 p0196 A80-50300 Remote sensing of wildland resources: A state-of-the-art Radar observations of wavetransformations in the vicinity POLLUTION TRANSPORT review of islands p0196 A80-51408 Smoke as a quantitative atmospheric diffusion tracer (PB80-184609] p0177 N80-30882 p0182 A80-53265 Comparisons between wave directional spectra from SAR Using LA NO SAT digital data for estimating green biomass POPULATION THEORY and pressure sensor arrays p0196 A80-51409 --- Throckmorton. Texas test site and Great Plans Corridor. The global 2000 report to the president. Entering the Synthetic aperture radar imaging of ocean waves - US twenty-first century, volume 1 p0228 N80-32295 Comparison with wave measurements (E80-10328] P0178 N80-32819 POTASSIUM P0196 A80-51411 Applied Remote Sensing Program (ARSP) --- Arizona Geochemical balance of the Salgsdo River basin Comparison of interpretations of radar images and space [E80-10330J P0178 N80-32821 [INPE-1849-RPE/206] p0206 N80-32834 photographs of a high degree of generalization on the RECLAMATION PRECIPITATION example of the Zarkainarskii intrusive massif /southern Application of remote sensing to state and regional As-built design specification for phase 3 model areas Tien-Shan/ P0212 A80-52066 problems — Mississippi added to the monthly data base of the US — Montana, Remote sensing of NO using a differential absorption [E80 10338) P0183 N80-32826 South Dakota, Oklahoma, Nebraska, and Colorado lidar P0182 A80-52332 RECONNAISSANCE AIRCRAFT [E80-10263] p0218 N80-30846 Development and evaluation of scatterometer data Concept of a research aircraft for remote sensing, using PRECIPITATION (METEOROLOGY) processing algorithms an integrated sensor/data system Remote sensing applications in hydrometeorology (E80-10266) p0216 N80-29813 [DGLR PAPER 80-051) p0227 A80-46300 p0202 A80-51283 Radar backscatter study of sea ice RECREATION As-built design specification for historical daily data bases [AD-A087032] p0198 N8 0-3 06 18 Monitoring the use of riverways with aerial photography: for testing advanced models — Kansas, North Dakota, and Degradation of picture quality by speckle in coherent The development, testing, and evaluation of a computer U.S.S.R. mapping systems p0217 N80-30821 assisted methodology IE80-10198] P0214 N80-28795 Remote sensing of the ocean: Physical, chemical, and [AD-A086471] p0182 N80-30877 Florida water resources geologic properties. Citations from the NTIS data base REFLECTANCE [E80-10246] P0205 N80-30829 (PB80-811235) P0198 N80-30884 Quantitative interpretation of Great Lakes remote sensing Remote sensing of the ocean: Dynamics. Citations from data P0201 A80-45005 PRESIDENTIAL REPORTS the NTIS data base The global 2000 report to the president. Entering the Nonzero subsurface irradiance reflectance at 670 nm from [PB80-811243] p0199 N80-30885 Lake Ontario water masses p0201 A80-45428 twenty-first century, volume 1 p0223 N80-32295 Sensors for remote sensing Light reflectance, transmittance. and utilization within a The global 20OO report to the president. Entering the [CJSE-N-190] p0225 N80-31863 twenty-first century. Volume 2: The technical report — RADAR MAPS vegetative canopy — Texas [E80-10282] ' P0177 N80-30851 trends in population, climate, gross national product, earth L-band radar and geology - Some results in south-east resources, technology, and man environment interactions of France p0191 A80-51095 Development of techniques to specify cloudiness and p0228 N80-32296 Degradation of picture quality by speckle in coherent rainfall rate using GOES imagery data PRESSURE GRADIENTS mapping systems p0217 N80-30821 [AD-A084757] p0206 N80-33064 On the inference of oceanic currents or eddies by RADAR SCATTERING REGIONAL PLANNING spaceborne altimetry through the dynamic method for the Vegetation clutter model p0173 A80-44262 The application of remote sensing to resource determination of three dimensional density (temperature) RADIANCE management and environmental quality programs in Kansas field Remote sensing research studies — kansas: roy's and phony creeks watersheds: the proposed [AD-A088082] p0199 N80-33076 [E80-10U7] p0176 N80-30823 taflgrass prairie national park and pin ford lake, missouri. PROBABILITY THEORY Design specification for color coded spectral plots [E80-10337J P0183 N80-32825 Estimation ot probabilities at label imperfections and Application of remote sensing to state and legionat correction of mislabels Classification with spectral-spatial-temporal archetypes problems — Mississippi [E8D-10288) 00218 N80-30856 (E80-10251) p02l7 N80-30834 [E80-10338) P0183 N80-32826 A-22 SUBJECT INDEX SEA STATES

RELIEF MAPS Evaluation of hydrogeologic conditions in Ponnatyar River Application of remote sensing to selected problems within The use of space photographic data for the study and basin. South India using remotely sensed data the state of California — Mendocino. Colusa. and Shasta mapping of anthropogenic landscapes p0186 A80-54O25 p0203 A80-51288 Counties REMOTE SENSORS Remote sensing in search for ground water - Some case [E80-10326] pO183 N80-32817 A tele mechanical system for hydrophysical studies in the histories pO203 A80-51289 SAN JUAN MOUNTAINS (CO) ocean p0223 A80-45766 Problems of snow cover assessment - An approach using A multi-step method for avalanche zone recognition and The Columbia River and Tributaries Irrigation Withdrawals remote sensing techniques in a pilot project in the Beas analysis — San Juan Mountains (co) p0193 N80-33824 Analysis Project - Feasibility analysis and future plans river basin. Himachal Pradesh. India p0203 A80-51294 SATELLITE DESIGN p0174 A80-49141 Floodplains mapping of Gangeiic basin using Landsat Conceptual study of a European remote sensing satellite imagery pO204 A80-51303 Allowance for light scattering in the atmosphere in the with combined optical and microwave payload Digital LANDSAT data analysis of Tennessee processing of space photographs of the earth's surface [BMFT-FB-W 79-181 p0224 N80-29407 [E80-10130] p0212 N80-28768 p0210 A80-49658 SATELLITE GROUND TRACKS Geologic application of thermal-inertia mapping from Seasat-A land applications data processing plan Application of thematic mapping techniques in terrain satellite --- Powder River Basin, Wyoming [E80-10317] p0221 N80-32810 analysis (E80-10230] p0192 N80-29799 (AD-A0890611 p0222 N80-33847 Florida water resources SATELLITE INSTRUMENTS REPTILES [E80-10246] p0205 N80-30829 A review of future remote sensing satellite capabilities p0174 A80-49139 A continuation of base-line studies for environmentally Geochemical balance of the Salgado River basin monitoring Space Transportation Systems (STS) at John [INPE-1849-RPE/206) p0206 N80-32834 Seasat. Volume 2: Flight systems F. Kennedy Space Center. Volume 4: Threatened and (NASA-CR 163571) p0199 N80-32829 RIVERS endangered species of the Kennedy Space Center. Part Satellite data for the solution of problems of land SATELLITE OBSERVATION 2: Threatened and endangered birds and other threatened hydrology p0202 A80-51282 Activities and future plan of earth observation by and endangered forms satellites p0223 A80-53094 | NASA-CR-163122-VOL-4-PT-2] p0183 N80-31970 Study of Kosi river characteristics using airborne/space orbital multispecual scanner data p0204 A80-51302 Operational remote sensing legislation, part 1 RESERVOIRS [GPO-45-048] p0228 N80-34294 Use of LANDSAT data for river and lake ice engineering Simulation of reservoir and lake sedimentation Operational remote sensing legislation, part 2 (PB80-182801) p0206 N80-31867 studies |E80-10237) p0205 N80-29806 (GPO-52-581] p0228 N80-34295 RESOLUTION SATELLITE ORBITS Applications of HCMM data to soil moisture snow and Snow mapping from space platforms Spacecraft trajectories for the remote sensing of the estuarine current studies --- Cooper River and Delaware p0203 A80-51293 earth p0223 A80-49662 Bay RESOLUTION CELL SATELLITE-BORNE INSTRUMENTS [E80-10269] p0205 N80-29816 Impact of cell size on inventory and mapping errors in Status and plans of SEO satellite and receiving station Evaluation of remote sensing techniques on selected a cellular geographic information system P0190 A80-51079 |E80 10315) p0221 N80-33831 forest sites in Florida — Fort Myers and Gainesville test SATELLITE-BORNE PHOTOGRAPHY sites RESOURCES The SPOT/Landsat image ground station - Image [E80-10296] p0177 N80-32805 The global 20OO report to the president. Entering the preprocessing p0210 A80-50906 twenty-first century, volume 1 p0228 N80-32295 The application of remote sensing to resource Results of the complex processing of photographs taken management and environmental quality programs in Kansas RESOURCES MANAGEMENT from the Salyut space stations p0212 A80-53004 --- kansas; roy's and phony creeks watersheds: the proposed Identifying and locating land irrigated by center-pivot SCATTEROMETERS tallgrass prairie national park and pin ford lake, missouri. irrigation systems using satellite imagery Comparison of surface wind stress measurements - [E80-10337] p0183 N80-32825 p0174 A80-49140 Airborne radar scatterometer versus sonic anemometer Geochemical balance of the Salgado River basin p0196 A80-51407 Irrigation mapping in western Kansas using Lartdsat. II .[INPE-1849-RPE/2061 p0206 N80-32834 Development and evaluation of scatterometer data - Practices and problems ... irrigation mapping in western processing algorithms Kansas using Landsat p0174 A80-49143 A quantitative evaluation of LANDSAT for monitoring suspended sediments in a fluvial channel [E80-10266] P0216 N80-29813 A study of the needs of French government agencies in p0206 N80-33823 SCENE ANALYSIS /emote sensing mapping pOISl A80-50882 The influence of topographic structures on night-time Segmentation-based boundary modeling for natural The contribution of space observations to water resources surface temperatures: Evaluation of a satellite thermal terrain scenes p0209 A80-44297 management; Proceedings of the Symposium, Bangalore, image of the upper Rhine plain and the surrounding Test plan for the LANDSAT Imagery Verification and India. May 29-June 9, 1979 pO201 A80-51278 highlands --• Germany and Switzerland Extraction System (LIVES) Problems of snow cover assessment • An approach using [E80-10228) p0179 N80-33829 [E80-10239] p0216 N80-29808 remote sensing techniques in a pilot project in the Beas Preliminary design specification for the LANDSAT ROCKS river basin, Himachal Pradesh. India p0203 A80-51294 Imagery Verification and Extraction System (LIVES) Remote sensing application in groundwater surveys and Microwave emission properties of snow for monitoring [E80-10240] p0216 N80-29809 exploration in India p0202 A80-51280 hvdrological parameters p0203 A80-51297 Evaluation of remote sensing techniques on selected Satellite imagery and U.P. Himalayas and Siwalik --- for Geologic application of thermal inertia imaging using forest sites in Florida --- Fort Myers and Gainesville test soil conservation p0204 A80-51304 HCMM data — Pisgah Crater, California and Walker Lake, sites Indian remote sensing satellite program and its Nevada Test Sites [E80-10296] p0177 N80-32805 contribution to water resources management [E80-10229] p0192 N80-29798 High Density Tape Reformatting System/LANDSAT p0204 A80-51307 ROCKY MOUNTAINS (NORTH AMERICA) Imagery Verification and Extraction System (H DTRS/ LIVES) The utility of Landsat-D for water-resources studies Grizzly bear habitat analysis. Section 3: LANDSAT-1 production test throughput analysis p0205 A80-51309 multispectral imagery and computer analysis of grizzly bear [E80-10319] p0221 N80-32811 Earth observation systems in Japan -— for water resources habitat --- Slategoat, Scapegoat and Danaher areas, A model of plant canopy polarization response study pO205 A80-51310 Montana [E80-10336] pO179 N80-33835 Remote sensing of wtldland resources: A state-of-the-art (NASA-CR-163382) p0177 N80-30867 SEA ICE review RURAL LAND USE Microwave radiometric aircraft observations of the [PB80-184609] p0177 N80-30882 The application of remote sensing to resource Fabry-Perot interference fringes of an ice-water system The global 2000 report to the president. Entering the management and environmental quality programs in Kansas pO!95 A80-44232 twenty-first century, volume 1 p0228 N80-32295 — kansas: roy's and phony creeks watersheds: the proposed The development of a stepped frequency microwave The global 2000 report to the president. Entering the tallgrass prairie national park and pin fofd lake, missouri. radiometer and its application to remote sensing of the twenty-first century. Volume 2: The technical report — (E80-10337] P0183 N80-32825 Earth trends in population, climate, gross national product, earth [NASA-TM-81847] p0224 N80-28637 resources, technology, and man environment interactions NASA oceanic processes program: Status report, fiscal p0228 N80-32296 year 1980 Application of temote sensing to selected problems within [NASA-TM-80233] p0198 N80-2900S the state of California -•- Mendocino. Colusa, and Shasta Radar backscatter study of sea ice Counties SACRAMENTO VALLEY base The use of space data for the prediction of mountain-river US Geological Survey sources of photographs and images [PB80-812878] p0200 N8O-34053 flooding in Siberia pO201 A80-49653 of biosphere reserves taken from spacecraft and aircraft, SEA STATES Evaluation of Landsat image data for the extraction of San Joaquin Experimental Range Methods for the extraction of long-period ocean wave land use information and its presentation in thematic [PB80-169295] pO192 N80-2B852 parameters from narrow beam HF radar sea echo maps pOI85 A80-50902 irrigated rands assessment for water management pOJ95 A80-46O95 The use of satellite imagery for mapping - The study of Applications Pilot Test (APT) — California Soaceborne imaging radar - Geologic and oceanographtc soil moisture pO175 A80-50903 [E80-10324] p0178 N80-32815 apple a i ions pO223 A80-47480 A-23 SEA TRUTH SUBJECT INDEX

Radar observations of wave transformations in the vicinity SET THEORY Microwave emission properties of snow for monitoring of islands pOl96 A80-51408 A statistical test procedure for detecting multiple outliers hydrological parameters p0203 A80-51297 Platform and buoy positioning experiments in the North in a data set Applications to floods of remote sensing from satellites Sea via Dopp'er satellite techniques pOl97 A80-53691 [E80-10195] p0214 N80-28792 p0204 A80-51300 Wallops waveform analysis of SEASAT-1 radar altimeter SHALLOW WATER Applications of HCMM data to soil moisture snow and data Simulation of reservoir and lake sedimentation estuarine current studies --• Cooper River and Delaware [NASA-CR-1568691 p0198 N80-29637 (PB80-182801) P0206 N80-31867 Bay Remote sensing of the ocean: Dynamics. Citations from SHORELINES [E80-10269] P0205 N80-29816 the NTIS data base Tidal land mapping from Landsat p0185 A80-50896 Cornell University remote sensing program — New York [PB80-8H243] p0199 N80-30885 The geomorphology of Mont-Saint-Michel Bay studied State On the inference of oceanic currents or eddies by [E80-10280] P0227 N80-29823 spaceborne alt i me try through the dynamic method for the from the remote sensing of instantaneous shorelines p0201 A80-5C899 Investigation of the application of HCMM thermal data determination of three dimensional density (temperature) to snow hydrology --- Salt-Verde watershed. Arizona and field Some results of remote sensing in Yugoslavia the Sierra Nevada Mountains. California p0191 A80-51091 [AD-A088082] P0199 N80-33076 [E80-10297] p0205 N80-30864 Ocean wave sensing. Citations from the NTIS data SIBERIA A multi-step method for avalanche zone recognition and The use of space data for the prediction of mountain-river analysis --- San Juan Mountains (co) p0193 N80-33824 [PB80-812878] P0200 N80-34053 flooding in Siberia p0201 A80-49653 A watershed information system p0207 N80-33825 SEA TRUTH The Mesozoic and Cenozoic depressions of the SODIUM The three-dimensional structure of the frontal zone of Baikalo-Amui region from the interpretation of space Geochemical balance of the Salgado River basin the Gulf Stream from synchronous satellite and ship data photographs p0189 A80-49654 [INPE-1849-RPE/206] p0206 N80-32834 p0196 ABO-49651 SICILY SOIL EROSION Radar observations ol wave transformations in the vicinity Study of geological structure of Sicily and other Italian Application of remote sensing to selected problems within of islands p0196 A80-51408 areas ••• Gulf of Orosei. Eastern Sardinia the state of California — Mendocino. Colusa, and Shasta Synthetic aperture radar imaging of ocean waves • [E80-10299] p0192 N80-30866 Counties Comparison with wave measurements SIDE-LOOKING RADAR [E80-10326] P0183 N80-32817 P0196 A80-51411 L-band radar and geology • Some results in south-east SOIL MAPPING Satellite monitoring of sea surface pollution •-• irish and of France p0191 A80-51095 A method for mapping soil reflectance north seas SIERRA NEVADA MOUNTAINS ICA) p0175 A80-49655 [E80-10329) P0199 N80-32820 Investigation of the application of HCMM thermal data Inventory, mapping and evaluation of the agricultural SEA WATER to snow hydrology — Salt-Verde watershed, Arizona and potential of soils - Status of studies and needs of remote Microwave radiometric aircraft observations of the the Sierra Nevada Mountains, California sensing p0175 A80-50877 Fabry-Perot interference fringes of an ice-water system [E80-10297] p0205 N80-30864 Review of BRGM research activities in geological remote p0195 A80-44232 SIGNAL PROCESSING sensing and medium-term perspectives Ocean chlorophyll studies from a U-2 aircraft platform A telemechanical system for hydrophysical studies in the p0189 A80-50881 P0195 A80-45004 ocean p0223 A80-45766 The use of satellite imagery for mapping - The study of Satellite observations of a nutrient upwelling off the coast SIGNATURE ANALYSIS soil moisture p0175 A80-50903 of California p0195 A80-45015 Separability of agricultural cover types in spectral Application of Landsat-2 data for obtaining land Optical methods for the study of biocenoses on land channels and wavelength regions p0173 A80-49100 information p0191 A80-51092 and sea p0201 A80-49656 As-built design specification for field statistics Satellite imagery and U.P. Himalayas and Siwalik — for Undsat application to the study of coastat processes (FIELDSTAT) soil conservation p0204 A80-51304 p0203 A80-51292 [E80-10252] p0217 N80-30835 Diurnal behavior of the spectral reflectivity of vegetation Synthetic aperture radar imaging of ocean waves • Maximal analysis labeling procedure (preliminary) and soils p0211 A80-52057 Comparison with wave measurements [E80-10294] p0219 N80-30862 Determination of the spectral characteristics of soils and p0196 A80-51411 An exploratory study to develop a cluster-based area vegetation p0211 A80-52059 Phytoplankton pigments from the Nimbus-7 Coastal Zone estimation procedure •-- Colorado. Kansas. Minnesota, SOIL MOISTURE Color Scannet - Comparisons with surface measurements Nebraska. Texas. South Dakota. Oklahoma, and North Soil water and plant canopy effects on remotely measured p0197 A80-51491 Dakota surface temperatures p0173 A80-47748 Microwave radiometric determination of oceanographic [E80-10295] p0177 N80-30863 Identifying irrigated lands using remote sensing and meteorological parameters p0223 A80-51579 Grizzly bear habitat analysis. Section 3: LANDSAT-1 techniques: State of the Art: Proceedings of the Symposium. Satellite monitoring of sea surface pollution —• irish and multispectral imagery and computer analysis of grizzly bear Sioux Falls. 5. Dak.. November 15. 16. 1979 north seas habitat -•- Slategoat. Scapegoat and Danaher areas. p0174 A80-49136 (E80-10329] p0199 N80-32820 Montana Identifying and locating land irrigated by center-pivot Passive 19.3 GHz radiometer and aerosol data from the irrigation systems using satellite imagery [NASA-CR-163382] P0177 N80-30867 North Sea during MARSEN I, September - October 1979 Characterization of Cerrado vegetation using p0174 A80-4914O [AD-A088229] p0199 N80-33068 automatically classified LANDSAT MSS data The Columbia River and Tributaries Irrigation Withdrawals SEAS Analysis Project - Feasibility analysis and future plans [INPE-1790-RPE/162] P0179 N80-32835 Heat capacity mapping mission project HCM-051 — East SILVICULTURE p0174 A80-49141 Australian Current and the Tasman Front Aerial color infrared photography applications to Irrigation mapping in western Kansas using Landsat. I - [E80-10278] P0198 N80-30850 citriculture pOt75 A80-51944 Key parameters p0174 A80-49142 SEASAT A SATELLITE SITE SELECTION Irrigation mapping in western Kansas using Landsat. II Seasat-A land applications data processing plan Remote sensing for tunnel siting studies - Practices and problems --- irrigation mapping in western [E80-10317] p0221 N80-32810 p0189 A80-48975 Kansas using Landsat p0174 A80-49143 Seasat. Volume 2: Flight systems SITES Development and application of Landsat-de rived [NASA-CR-163571] p0199 N80-32829 Environmental data for sites in the National Solar Data irrigation cropland maps for water use determination in SEDIMENT TRANSPORT Network the High Plains p0175 A80-49144 Remote sensing of the ocean: Dynamics. Citations from [SOLAR/0010-80Y02] p0220 N80-31975 Review of BRGM research activities in geological remote the NTIS data base SKY BRIGHTNESS sensing and medium-term perspectives [PB80-811243] p0199 N80-30885 LACIE field measurements data acquisition summary p0189 A80-50881 Simulation of reservoir and lake sedimentation report. 1975 - 1976 crop year --- Finney County, Kansas; The use of satellite imagery for mapping - The study of [PB80-182801) p0206 N80-31867 Williams County. North Dakota: and Hand County. South soil moisture p0175 A80-50903 Soil moisture estimation by correlated ground-based and Assessment of the role of remote sensing in the study Dakota [E80-10193] p0214 N80-28790 Seasat microwave observation p0202 A80-51287 of inland and coastal waters Microwave radiometer measurements of soil moisture INASA-TM-81881] p0200 N80-34048 SLOPES Use of collateral information to improve LANDSAT content p0176 A80 53890 SEDIMENTARY ROCKS Development and evaluation of scatterometer data Soil moisture in relation to geologic structure and classification accuracies — Ventura County and Klamath National Forest. California processing algorithms lithology northern California (E80 10268] p0176 N80-29815 JE80-10266] p0216 N80 29813 [E80-10298] P0192 N80-30865 SMOKE Applications of HCMM data to soil moisture snow and SEDIMENTS Smoke as a quantitative atmospheric diffusion tracer estuarine current studies --- Cooper River and Delaware Quantitative interpretation of Great Lakes remote sensing p0182 A80-53265 Bay data P0201 A80-45005 SNOW [E80 10269] p0205 N80-29816 Uranium - Spectral discrimination of alteration Anomalous snowfall caused by natural-draft cooling EOD systems and facilities workload requirements phenomena in sediments p0189 A80-49524 towers forecast Quantitative monitoring of sediment levels in freshwater [RAND/N-1479-DOEl p0206 N80-32024 (E80-10277] p0176 N80-29821 lakes from Landsat p0203 A80-51291 SNOW COVER Florida water resources Landsat application to the study of coastal processes The use of space data for the prediction of mountain-river [E80-10246] p0205 N80-30829 p0203 A80-51292 Hooding in Siberia p0201 A80-49653 Use of soil moisture information in yield models Aerial gamma ray and magnetic survey: Raton Basin Automatic mapping of snow cover by means of Landsat [EBO-10302] p0177 N80-30869 - Application to the central Pyrenees p0185 A80-50888 project. The Raton and Santa Fe quadrangles of New HCMM energy budget data as a model input for assessing The contribution of space observations to water resources Mexico regions of high potential groundwater pollution -— South [GJBX-9{80)-VOL-2] p0192 N80-30881 management: Proceedings of the Symposium. Bangalore. India. May 29-June 9. 1979 0201 A80-51278 Dakota Simulation of reservoir and lake sedimentation P (E80-10310] P0206 N80-32806 [PB80-182801] p0206 N80-31867 Satellite data for the solution of problems of land hydrology p0202 A80-51282 Irrigated lands assessment for water management A quantitative evaluation of LANDSAT for monitoring Remote sensing applications in hydrometeorology Applications Pilot Test (APT) — California suspended sediments in a fluvial channel [E80-10324] P0178 N80-32815 P0202 A80-51283 p0206 N80-33823 Snow mapping from space platforms Infrared-temperature variability in a large agricultural field SEEDS p0203 A80-51293 --- Dunnigan. California Irrigated lands assessment for water management Problems of snow cover assessment - An approach using (E80-10331] p0178 N80-32822 Applications Pilot Test (APT) -•• California remote sensing techniques in a pilot project in the Beas HCMM satellite follow-on investigation no. 025: Soil [E80-10324] p0178 N80-32815 river basin. Himachal Pradesh. India p0203 A80-51294 moisture and heat budget evaluation in selected European SEISMOLOGY Eurasian snow cover extent - The NOAA satellite record, zones of agricultural and environmental interest (TELLUS Review of BRGM research activities in geological remote 1966-79 P0203 A80-51295 Project) --- France. Germany. Italy. United Kingdom, and sensing and medium-term perspectives Studies of snow accumulation characteristics on the Benelux countries p0189 A80-50881 Himalayan slopes p0203 A80-51296 |E80-10332] P0178 N80-32823 A 24 SUBJECT INDEX SPECTRAL SIGNATURES

Further developments of the TELL-US model. 1: An An exploratory study to develop a cluster-based area Thematic mapper studies band correlation analysis implicit finite difference scheme for the numerical estimation procedure --- Colorado. Kansas. Minnesota, [NASA-TM-807161 p0216 N80-29825 approximation of the ground heat flux. 2: A simple Nebraska. Texas, South Dakota. Oklahoma, and North SPECTRAL REFLECTANCE algorithm for estimating the actual and potential Dakota Remote sensing of paniculate concentrations in water evapotranspiration of vegetated surfaces from one remotely [E80-10295] p0177 N80-30863 p0201 A80-46450 sensed surface temperature near the dairy maximum HCMM energy budget data as a model input for assessing Simulation of solar radiation absorption in vegetation (£80-10333) p0178 N80-32824 regions of high potential groundwater pollution ••- South canopies p0173 A80-46451 Dakota Development of a soil moisture model for use with passive Soil water and plant canopy effects on remotely measured [E80-J0310] p0206 N80-3280G microwave remote sensors p0179 N80-33828 surface temperatures p0173 A80-4774S SOUTHERN CALIFORNIA Defining relationships between surface characteristics Uranium - Spectral discrimination of alteration and actual evaporation rate Use of collateral information to improve LAND SAT classification accuracies --- Ventura County and Klamath phenomena in sediments p0189 A80-49524 [E80-10335] P0207 N80-33834 National Forest. California A method for mapping soil reflectance The use of radiation temperature to detect water-stress [E80-10268] p0176 N80-29815 p0175 A80-49655 in sugarcane crop --- Brazil Application of remote sensing to selected problems within Optical methods foi the study of biocertoses on land [INPE-1767-TOL/028] p0179 N80-33839 the state of California — Mendocino. Colusa. and Shasta and sea p0201 A80-49656 SOIL SCIENCE Counties Measurement results and conclusions on the spectral Remote sensing research studies [E80-103261 P0183 N80-32817 reflective coefficients of volcanites. granitoides and IE80-10117] p0176 N80-30823 SOVIET SPACECRAFT gneisses p0191 A80-51093 SOILS Utilization of space for scientific and economic purposes Diurnal behavior of the spectral reflectivity of vegetation Computer-aided watershed analyses using remote in the USSR in 1978 — Russian book and soils p0211 A80-52057 sensing based regional information systems p0227 A80-53148 The contribution of the diffuse light component to the p0204 A80-51299 SOYBEANS topographic effect on remotely sensed data Geologic application of thermal inertia imaging using Composition and assembly of a spectral data base for [NASA-TM-80728] p0186 N80-30876 HCMM data — Pisgah Crater, California and Walker Lake. corn and soybean multicrop segments --- Missouri. Nevada Test Sites Nebraska, South Dakota, Wisconsin. Iowa. Illinois, An investigation of vegetation and other Earth IE80-10229) p0192 N80-29798 Mississippi, Indiana, Kentucky. Minnesota, Michigan, and resource/feature parameters using LA NO SAT and other remote sensing data. V. LANDSAT, 2: Remote sensing Application of remote sensing to selected problems within Louisiana of volcanic emissions -•- Lower Hudson River estuary: the state of California — Mendocino. Colusa, and Shasta [E80-10281] p0176 N80-29824 Maine; White Mountain National Forest. New Hampshire: Counties Remote sensing research studies Mt. St. Helens and Metsachee Creek. Washington: and the (E80-10326] p0183 N80-32817 [E80-10117] p0176 N80-30823 AgRlSTARS cropping practices and crop characteristics Santiaguito and Feugo volcanoes. Guatemala The use of LA NO SAT data for evaluation and [E80-10312] p0225 N80-32807 characterization of deforested pastureland and reforested based on 1979 ESCS observations — Arkansas. Using LANDSAT digital data for estimating green biomass areas in Brazil California. Georgia, Illinois. Iowa. Louisiana. Minnesota. -•- Throckmorton. Texas test site and Great Plans Corridor. [INPE-1794-RPE/166] p0179 N80-32836 Mississippi, Missouri. Nebraska, North Carolina. North Dakota, Ohio. Pennsylvania. South Carolina, and Texas US A multi-step method for avalanche zone recognition and [E80-10292) p0177 N80-30860 [E80-10328] p0178 N80-32819 analysis — San Juan Mountains (co) p0193 N80-33824 Maximal analysis labeling procedure (preliminary) A quantitative evaluation of LANDSAT for monitoring A watershed information system p0207 N80-33825 [EBO-10294] p0219 N80-30862 suspended sediments in a fluvial channel Thermal balance of soils Analysis of scanner data for crop inventories p0206 N80-33823 [INPE-1859-RPE/210] pOISO N80-33841 [E80-10308] p0219 N80-30874 Multispectral techniques for remote monitoring of SOLAR COLLECTORS Development of Al procedures for dealing with the effects sediment in water: A feasibility investigation Environmental data for sites in the National Solar Data of episodal events on crop temporal spectral response and [PB80-198500] p0207 N80-33849 Network development of Al guidelines for corn and soybean labeling SPECTRAL SIGNATURES [SOLAR/0010-80/021 p0220 N80-31975 --- Corn Belt Unsupervised classification of MSS Landsat data for SOLAR CYCLES [E80-10327] p0178 N80-32818 mapping spatially complex vegetation p0173 A80-47744 SPACE EXPLORATION Improved definition of crust a I anomalies for Magsat Separability of agricultural cover types in spectral Utilization of space for scientific and economic purposes data channels and wavelength regions p0173 A80-49100 (E80-10270) p0192 N80-29817 in the USSR in 1978 — Russian book p0227 A80-53148 Estimates of the accuracy of the brightness conjunction SOLAR POSITION of multispectral photographs p0210 A80-49665 Diurnal behavior of the spectral reflectivity of vegetation SPACE LAW The cartography of Chize forest through remote and soils p02 11 A80-52057 Space law - A new proposal p0227 A80-45575 SPACE PROGRAMS sensing p0175 A80-50900 Final design specification for EOD-LARSYS/statistics and Brazil in space — space programs applications Evaluation of MSS imagery over part of the data transformation processors modification p0227 A80-52691 asbestos-barytes belt of south-western Cuddapah basin, [E80-10173] p0213 N80-28774 SPACE TRANSPORTATION SYSTEM Andhra Pradesh. India p0191 A80-51089 Design specification for EOD-LARSYS/statistics and data A continuation of base-line studies for environmentally Determination of the spectral characteristics of soils and transformation processors modification monitoring space transportation systems at John F. Kennedy vegetation . p0211 A80-52059 [E80-101771 p0213 N80-28778 Space Center. Volume 3. part 1: Ichtnyologica! survey Imaging in many frequency bands --• multispectral SOLAR RADIATION of lagoonal waters •-• Indian River lagoon system spaceborne photography p0212 A80-52062 Simulation of solar radiation absorption in vegetation [NASA-CR-163122-VOL-3-PT-1) p0197 N80-28939 Modifications to the CLASY program canopied p0173 A80-46451 A continuation of base-line studies for environmentally [E80-10181] p0213 N80-28782 SONIC ANEMOMETERS monitoring Space Transportation Systems (STS) at John Remote sensing of total dry-matter accumulation in Comparison of surface wind stress measurements - F. Kennedy Space Center. Volume 4: Threatened and winter wheat Airborne radar scatterometer versus sonic anemometer endangered species of the Kennedy Space Center. Part [E80-10235] p0176 N80-29804 00196 A80-51407 2: Threatened and endangered birds and other threatened User manual for the Earth observations Division R and SORGHUM and endangered forms D to OLPARS dot data conversion Light reflectance, transmittance, and utilization within a [NASA-CR-163122-VOL-4-PT-2] pOI83 N80-31970 [E80-10236] p0216 N80-29805 vegetative canopy ••• Texas SPACEBORNE EXPERIMENTS Remote sensing research studies |E80-10282| P0177 N80-30851 Report on active and planned spacecraft and (E80-10U7J p0176 N80-30823 AgRlSTARS cropping practices and crop characteristics experiments As-built design specification for scatter plots for direct based on 1979 ESCS observations — Arkansas. (NASA-TM-80905) p0227 N80-31420 wheat California. Georgia. Illinois. Iowa. Louisiana. Minnesota. SPACECRAFT LAUNCHING [E80-10250] p0217 N80-30833 Mississippi. Missouri. Nebraska, North Carolina. North Seasat. Volume 2: Flight systems Classification with spectral-spatial-temporal archetypes Dakota. Ohio. Pennsylvania, South Carolina, and Texas [NASA-CR-163571] p0199 N80-32829 [E80-10251] p0217 N80-30834 (E80-10292] p0177 N80-30860 SPACECRAFT PERFORMANCE Classification of multispectral images according to Seasat. Volume 2: Flight systems A model of plant canopy polarization response crosswise textural characteristics — Mato Grasso, Brazil [NASA-CR-163571] p0199 N80-32829 IE80-103361 pO179 N80-33835 IE80-10257J pQ218 N80-3084O SPACECRAFT TRAJECTORIES SOUTH CAROLINA Study of the atmospheric effects on the radiation detected Spacecraft trajectories for the remote sensing of the Applications of HCMM data to soil moisture snow and by the sensor aboard orbiting platforms (ERTS/LANDSAT) earth p0223 A80-49662 estuarine current studies — Cooper River and Delaware --- Ribeirao Preto and Brasilia. Brazil Bay SPATIAL DISTRIBUTION (E80-10259] p0218 N80-30842 [E80-10269] p0205 N80-29816 Impact of cell size on inventory and mapping errors in A labeling technology for LANDSAT imagery a cellular geographic information system |E80-10293] p0219 N80-30861 AgRlSTARS cropping practices and crop characteristics [£80-10315] p0221 N80-33831 Grizzly bear habitat analysis. Section 3: LA NO SAT-1 based on 1979 ESCS observations — Arkansas. multispectral imagery and computer analysis of grizzly bear California. Georgia. Illinois, Iowa. Louisiana. Minnesota. SPATIAL FILTERING Spatial filtering of Landsat data for urban cartography habitat --- Slategoat. Scapegoat and Danaher areas. Mississippi. Missouri, Nebraska. North Carolina. North Montana Dakota Ohio, Pennsylvania. South Carolina, and Texas p0185 A80-50892 | NASA-CR-163382] p0177 N80-30867 (E80-10292) p0177 N80-30860 SPECIFIC HEAT HCMM satellite follow-on investigation no. 025: Soil A hill-sliding strategy for initialization of Gaussian clusters SOUTH DAKOTA in the multidimensional space LACIE field measurements data acquisition summary moisture and heat budget evaluation in selected European zones of agricultural and environmental interest (TELLUS INASA-TM-80721] pO219 N80-31072 report, 1975 • 1976 crop year — Finney County. Kansas: A multiprocessor implementation of a contextual image Williams County, North Dakota; and Hand County, South Project) —• France. Germany. Itaty. United Kingdom, and the Benelux countries processing algorithm Dakota [E80-10332] p0178 N80-32823 [E8O-10313J pO221 N 8 0-3 2 808 (E80-10193) p0214 N80-28790 An algorithm for estimating crop calendar shifts of spring SPECKLE PATTERNS Composition and assembly of a spectral data base for small grains using LANDSAT spectral data Degradation of picture quality by speckle in coherent corn and soybean multicrop segments --- Missouri. (E80 10314] pO178 N8O-32809 mapping systems pO217 N80-30821 Nebraska. South Dakota, Wisconsin. Iowa. Illinois, Development of Al procedures for dealing with the effects Mississippi. Indiana, Kentucky, Minnesota, Michigan, and SPECTRAL BANDS of episodal events on crop temporal spectral response and Louisiana Snow mapping from space platforms development of Al guidelines for corn and soybean labeling [E8O-10281] pO176 N80-29824 p0203 A80-51293 --- Corn Bell As-built design specification for phase 3 model areas The utility of Landsat-D for water-resources studies (E8O-10327] p0178 N8O-32818 added to the monthty data base of the US — Montana. p0205 A80 51309 Characterization of Cerrado vegetation using South Dakota. Oklahoma. Nebraska, and Colorado Landsat-D - Overview and implications automatically classified LANDSAT MSS data [E80-10263] p02l8 N80-30846 p0224 A80-53609 [INPE-1790-RPE/162J pO179 N80-32835 A-25 SPECULAR REFLECTION SUBJECT INDEX

Detection of hidden mineral deposits by airborne spectral Mapping a geologicostructural scheme of the Kola Florida water resources. Executive summary analysis of forest canopies peninsula from satellite imagery p0211 A80-52053 [E80-10247] P0205 N80-30830 [PB80-193881] p0193 N80-32845 Analysis of the results of an interpretation of satellite Correlation of under-ice roughness with satellite and A multispectral data simulation technique and aerial protography of Western Uzbekistan airborne thermal infrared data — Beaufort Sea and Arctic [E80-10311] p0221 N80-33S30 p0211 A80-52055 Ocean pack ice Utilization of spectral-spatial information in the Geologic application of thermal-inertia mapping from [AD-A085512] D0198 N80-30880 classification of imagery data satellite — Powder River Basin, Wyoming HCMM energy budget data as a model input for assessing [E80-10321] p0222 N80-33832 regions of high potential groundwater pollution --- South [E80-102301 P0192 N80-29799 SPECULAR REFLECTION Dakota Soil moisture in relation to geologic structure and A model of plant canopy polarization response [E80-10310) p0206 N80-328O6 lithology. northern California [E80-10336) p0179 N80-33835 [E80-10298) 0192 N80-30865 Infrared-temperature variability in a large agricultural field SPRINGS {WATER) P --- Dunnigan, California Remote sensing of coastal environment and resources Study of geological structure of Sicily and other Italian |E80-10331] p0178 N80-32822 p0202 A80-51281 areas •-• Gulf of Orosei. Eastern Sardinia HCMM satellite follow-on investigation no. 025: Soil STATISTICAL ANALYSIS [E80-10299) p0192 N80-30866 moisture and heat budget evaluation in selected European Applications of statistics to thematic mapping Development of a method to detect geologic faults and zones of agricultural and environmental interest ITELLUS p0186 A80-53051 other linear features from LANDSAT images Project) --- France, Germany, Italy, United Kingdom, and STATISTICAL TESTS [PB80-189665] p0193 N80-32844 the Benelux countries A statistical test procedure for detecting multiple outliers Contributions of LANDSAT imagery to the geological [E80-10332] p0178 N80-32823 in a data set mapping of the Rio do Grande Sul Shield — Brazil Further developments of the TELL-US model. 1: An [E80-10195J p02U N80-28792 [INPE-1838-RPE/199] p0193 N80-33842 implicit finite difference scheme for the numerical STEPPES Interactive digital image processing investigation, phase approximation of the ground heat flux. 2: A simple Determination of the spectral characteristics of soils and 2 algorithm for estimating the actual and potential vegetation p02 11 A80-52059 [AD-A087518] p0222 N80-33848 evapotranspiration of vegetated surfaces from one remotely STEREOSCOPY SUDAN sensed surface temperature near the daily maximum Errors in automatic pass point mensuration using digital Basic topographic mapping - Renewal and revision [E80-10333] p0178 N80-32824 techniques p0185 A80 50897 On the inference of oceanic currents or eddies by [AD-A087443] p0220 N80-31859 Comparative experimental study on the use of original Spaceborne altimetry through the dynamic method for the STORM DAMAGE and compressed multispectral LANDSAT data for applied determination of three dimensional density (temperature) Assessment of cyclone-caused damage in Krishna delta research field region using remotely sensed data p0204 A80-51301 [DFVLR-FB-80-03] p0220 N80-31865 [AD-A088082) p0199 N80-33076 STORMS (METEOROLOGY) SUGAR BEETS The influence of topographic structures on night-time The Federal Plan for Meteorological Services and Development of A) procedures for dealing with the effects surface temperatures: Evaluation of a satellite thermal Supporting Research, fiscal year 1981 of episodal events on crop temporal spectral response and image of the upper Rhine plain and the surrounding [PB80-199482) p0228 N80-34041 development of Al guidelines for corn and soybean labeling highlands --• Germany and Switzerland STRATIFIED FLOW — Corn Belt [E80-10228] P0179 N80-33829 Observed short-time temperature variations and tidal Defining relationships between surface characteristics [E80-10327) P0178 N80-32818 current constants in the North Sea south east of the Dogger SUGAR CANE and actual evaporation rate Bank /Comparison of two seasons/ p0197 ABO-54060 Brazil in space -•- space programs applications [E80-10335] p0207 N80-33834 STRATIGRAPHY p0227 A80-52691 Thermal balance of soils Contributions of LAND SAT imagery to the geological Study of the atmospheric effects on the radiation detected [INPE-1859-RPE/210] p0180 N80-33841 mapping of the Rio do Grande Sul Shield --- Brazil by the sensor aboard orbiting platforms (ERTS/ LANDSAT) SURFACE WATER (INPE-1838 RPE/199] p0193 N80-33842 --- Ribeirao Preto and Brasilia, Brazil Terrain analysis and hydrogeologic interpretations from STRATOSPHERE satellite imagery p0202 A80-51285 [E80-10259] P0218 N80-30842 Volcanic material from Mount St Helens in the Use of LANDSAT data for estimating the area of sugar Remote sensing of water resources in Panch Mahals stratosphere over Europe p0182 A80-54074 cane in the state of Sao Paulo — Brazil district p0202 A80-51286 STREAMS (E80-10260] p0177 N80-30843 Evaluation of remote sensing techniques on selected Simulation of reservoir and lake sedimentation Utilization of LANDSAT data to inventory the sugar cane forest sites in Florida --- Fort Myers and Gainesville lest [PB80-182801] p0206 N80-31867 in the state of Sao Paulo sites STRUCTURAL BASINS IE80-10261J p0177 N80-30844 [E80-10296] p0177 N80-32805 The Mesozoic and Cenozoic depressions of the Light reflectance, transmittance. and utilization within a SWITZERLAND Baikalo-Amur region from the interpretation of space vegetative canopy --- Texas The influence of topographic structures on night-time photographs p0189 A80-49654 surface temperatures: Evaluation of a satellite thermal (E80-10282) P0177 N80-30851 Fracture mapping of the Narmada-Tapti basin using The use of radiation temperature to detect water-stress image of the upper Rhine plain and the surrounding Landsat imagery pO190 A80-51082 in sugarcane crop --- Brazil highlands --- Germany and Switzerland Tectonics and lineament patterns of the Vindhyan basin [INPE-1767-TDL/028] p0179 N80-33839 [E80-10228) p0179 N80-33829 based on Landsat imagery data p0190 A80-51084 SULFATES SYNTHETIC APERTURE RADAR Evaluation of MSS imagery over part of the Airborne sulfur dioxide to sulfate oxidation studies of Spaceborne imaging radar - Geologic and oceanographic asbestos-barytes belt of south-western Cuddapah basin, applications p0223 A80-47480 the INCO 381M chimney plume P0182 A80-53269 Andhra Pradesh. India p0191 A80-51089 SULFIDES The problems of SAR imagery of ocean waves Indian remote sensing satellite program and its Detection of hidden mineral deposits by airborne spectral p0196 A80-50300 contribution to water resources management analysis of forest canopies Conceptual study of a European remote sensing satellite p0204 A80-51307 [PB80-193881) P0193 N80-32845 with combined optical and microwave payload Aerial gamma ray and magnetic survey: Raton Basin SULFUR DIOXIDES [8MFT-FB-W-79-18] p0224 N80-29407 project. The Raton and Santa Fe quadrangles of New Airborne sulfur dioxide to sulfate oxidation studies of Mexico the INCO 381M chimney plume p0182 A80-53269 !GJBX-9(80)-VOL-2] p0192 N80-30881 SUNFLOWERS Simulation of reservoir and lake sedimentation Development of Al procedures for dealing with the effects [PB80-182801] 0206 N80-31867 P of episodal events on crop temporal spectral response and TASMANIA Altimetry data over trenches and island-arcs and development of Al guidelines for corn and soybean labeling Heat capacity mapping mission project HCM-051 — East convection in the mantle — Corn Belt Australian Current and the Tasman Front (NASA-CR-1635161 p0199 N80-32050 [E80-10327] p0178 N80-32818 [E80-10278] pOl98 N80-30850 STRUCTURAL PROPERTIES (GEOLOGY) SUNLIGHT TECHNOLOGY ASSESSMENT Spaceborne imaging radar - Geologic and oceanographic Turbid water measurements of remote sensing Landsat-D - Overview and implications applications p0223 A80-47480 penetration depth at visible and near-infrared wavelength p0224 A80-53609 (NASA-TM-81843) p0207 N80-33927 Computer-assisted production of multi-coloured maps TECHNOLOGY TRANSFER SURFACE ROUGHNESS p02O9 A80-49521 Activities and future plan of earth observation by Spaceborne imaging radar - Geologic and oceanographic Characteristics of the representation of tectonic faults satellites p0223 A80-53094 on space photographs pO189 A80-49663 applications p0223 A80-47480 Correlation of under-ice roughness with satellite and China space report /Based on observations made during Review of BRGM research activities in geological remote airborne thermal infrared data •-- Beaufort Sea and Arctic an invited tour with an AIAA delegation, November 1979/ sensing and medium-term perspectives Ocean pack ice — Book p0227 A80-53350 p0189 A80-50881 [AD-A085512] p0198 N80-30880 Program on stimulating operational private sector use Contribution of Landsat data to the objectives of the of Earth observation satellite data SURFACE ROUGHNESS EFFECTS 22 geological survey of India p0189 A80-51077 Radar altimeter mean return waveforms from (E80-10233J PC ' N80-29802 Geological . ground-truths and Landsat imagery near-normal-incidence ocean surface scattering Geological and geothermal data use investigations for interpretation for parts of Karnataka State /India/ p0224 A80-53891 application Explorer mission-A (heat capacity mapping pO190 A80-51080 SURFACE TEMPERATURE mission) Landsat exploration of Himalayan and Peninsular regions Soil water and plant canopy effects on remotely measured IE80-I0279) o0192 N80-29822 /Remote sensing and mineral exploration - Progress report surface temperatures p0173 A80-47748 TECHNOLOGY UTILIZATION of work done in India/: I.G.C.P. Project 143 Studies of snow accumulation characteristics on Brazil in space — space programs applications p0190 A80-51081 Himalayan slopes p0203 A80-51296 p0227 A80-52691 Lineament study of the Bastar district. Madhya Pradesh. Geologic application of thermal inertia imaging using Private sector involvement in civil space remote sensing. India, from Landsat imagery p0190 A80-51083 HCMM data — Pisgah Crater. California and Walker Lake. Volume 1: Report Tectonics and lineament patterns of the Vindhyan basin Nevada Test Sites (NASA-TM-822O6) p0228 N80-33845 |E80-10229] p0192 N80-29798 based on Landsat imagery data pO190 A80-51084 Private sector involvement in civil space remote sensing. Applications of HCMM data to soil moisture snow and Lineaments and their tectonic significance in relation to Volume 2: Appendices estuarine current studies --- Cooper River and Delaware mineral potential in south India p0190 A80-51085 [NASA-TM-82207] p0228 N80-33846 Bay Use of Landsat data products for geological mapping - [E80-10269] o0205 N80-29816 TECTONICS A case history in Tamilnadu. India pO191 A80 51090 Geological and geothermal data use investigations for Characteristics of the representation of tectonic faults New data on the geological structure of the application Explorer mission-A (heat capacity mapping on space photographs pO189 A80-49663 Verkhoiany-Kotyma fold region from an analysis of satellite mission) Contribution of Landsat data to the objectives of the TV images p0211 A80-52051 {E80-10279J p0192 N80-29822 geological survey of India p0189 A80-51077 Geological analysis of the Urals-Oman superlineament Florida water resources Fracture mapping of the Narmada-Tapti basin using from satellite imagery pO211 A80-52052 [E80-10246] p0205 N80-30829 Landsat imagery p0190 A80-51082 A 26 SUBJECT INDEX TIMBER IDENTIFICATION

Tectonics and lineament patterns of the Vindhyan basin A review of future remote sensing satellite capabilities Planning and execution of a photographic mission over based on Landsat imagery data pO190 A80-51084 p0174 A80-49139 a wheat producing region in Rio Grande do Sul. Brazil Lineaments and their tectonic significance in relation to Irrigation mapping in western Kansas using Landsat. II [INPE-1793-RPE/165] p0179 N80-32833 mineral potential in south India p0190 A80-51085 - Practices and problems --- irrigation mapping in western Impact of cell size on inventory and mapping errors in Geological analysis of the Urals-Oman superlineament Kansas using Landsat p0174 A80-49143 a cellular geographic information system from satellite imagery p0211 A80-52052 Development and application of Landsat-derived [E80-10315J p0221 N80-33831 irrigation cropland maps for water use determination in NASA geodetic applications of the Mark 3 VLB! Contributions of LANDSAT imagery to the geological the High Plains p0175 A80-49144 system pO186 N80-28841 mapping of the Rio do Grande Sul Shield — Brazil Computer-assisted production of multi-coloured maps [INPE-1838-RPE/199] p0193 N80-33842 LANDSAT data as a basis for regional environmental p0209 A80-49521 assessment within the Columbia Plateau The use of space data for the prediction of mountain-river Application of thematic mapping techniques in terrain (RHO-BWI-SA-43) p0183 N80-31862 Hooding in Siberia p0201 A80-49653 analysis Altimetry data over trenches and island-arcs and Cartographic processing and analysis of satellite imagery: [AD-A089061] p0222 N80-33847 convection in the mantle International Conference. 3rd. Toulouse. France. June THERMAL MAPPING (NASA CR 163516) p0199 N80-32050 19-22. 1979. Proceedings pO185 A80-50876 Satellite observations of a nutrient upwelling off the coast The coordinated federal program for the application of Cartographic display of space information - The different of California p0195 A80-45015 space technology to crustal dynamics and earthquake methods available at IGN p0210 A80-50879 Dynamical interpretation of satellite-sensed thermal research Automatic mapping of snow cover by means of Landsat features off Vancouver Island p0195 A80-46315 |NASA-TM-82215) p0187 N80-33999 - Application to the central Pyrenees p0185 A80-50888 Thermal fronts in the Mediterranean according to NOAA NASA plan for international crustal dynamics studies Spatial filtering of Landsat data for urban cartography 5 satellite radiometer data /September 1977-February [NASA-TM-82214] p0187 NBO-34000 p0185 A80-50892 1979/ p0195 A80-48750 TELEMETRY The potential of Landsat-3 RBV images for thematic Some results of remote sensing in Yugoslavia A telemechanical system for hydrophysical studies in the mapping — geomorphological. geological and land cover p0191 A80-51091 ocean p0223 A80-45766 applications p0210 A80-50894 Studies of snow accumulation characteristics on Substorm warnings • An ISEE-3 real time data system The combined plotting of satellite photographs and aerial Himalayan slopes p0203 A80-51296 photographs for topographic mapping p0185 A80-50895 p0209 A80-46225 Geologic application of thermal inertia imaging using Tidal land mapping from Landsat p0185 A80-50896 Evaluation of remote hydrologic data-acquisition systems, HCMM data — Pisgah Crater. California and Walker Lake. Basic topographic mapping - Renewal and revision west-central Florida Nevada Test Sites p0185 A80-50897 [PB80-176951] p0205 N80-29832 [E80-10229] D0192 N80-29798 Seasat-A land applications data processing plan The cartography of Chize forest through remote sensing p0175 A80-50900 Geologic application of thermal-inertia mapping from [E80-10317] P0221 N80-32810 Evaluation of Landsat image data for the extraction of satellite — Powder River Basin. Wyoming TEMPERATURE GRADIENTS [E80-10230] p0192 N80-29799 Studies of snow accumulation characteristics on land use information and its presentation in thematic Himalayan slopes pO203 A80-51296 maps p0185 A80-50902 Geologic application of thermal inertia imaging using TEMPERATURE MEASUREMENT The use of satellite imagery for mapping - The study of HCMM data HCMM energy budget data as a model input for assessing soil moisture p0175 A80-50903 [E80-10231] p0192 N80-29800 regions of high potential groundwater pollution —- South Characteristics of the Landsat system and data for Applications of HCMM data to soil moisture snow and Dakota geologic applications - Availability of data estuarine current studies --- Cooper River and Delaware |E80-10310) p0206 N80-32806 p0190 A80-51078 Bay On the inference of oceanic currents or eddies by Lineaments and their tectonic significance in relation to [E80-10269] p0205 N80-29816 spaceborne altimetry through the dynamic method for the mineral potential in south India p0190 A80-51085 Geological and geothermal data use investigations for determination of three dimensional density (temperature) Application of Landsat-2 data for obtaining land application Explorer mission-A (heat capacity mapping field I information p0191 A80-51092 mission) (AD-A088082] p0199 N80-33076 Remote sensing of coastal environment and resources [E80-10279] P0192 N80-29822 TENNESSEE p0202 A80-51281 Heat capacity mapping mission project HCM-051 --- East Digital LANDSAT data analysis of Tennessee Evaluation of hydrogeologic conditions in Ponnatyar River Australian Current and the Tasman Front basin. South India using remotely sensed data [E80-10130) P0212 N80-28768 [E80-10278] p0198 N80-30850 p0203 A80-S1288 TERRAIN ANALYSIS Investigation of the application of HCMM thermal data Eurasian snow cover extent - The NOAA satellite record, Segmentation-based boundary modeling for natural to snow hydrology --- Salt-Verde watershed. Arizona and 1966-79 p0203 A80-51295 terrain scenes p0209 A80-44297 the Sierra Nevada Mountains, California Terrain analysis and hydrogeologic interpretations from Applications to floods of remote sensing from satellites [E80-10297] p0205 N80-30864 0204 A80-51300 satellite imagery p0202 A8D-51285 P Soil moisture in relation to geologic structure and Use of collateral information to improve LANDSAT Floodplains mapping of Gangelic basin using Landsat lithology. northern California classification accuracies -— Ventura County and Klamath imagery p0204 A80-51303 [E80-10298] p0192 N80-30865 National Forest, California Satellite imagery and U.P. Himalayas and Siwalik — for [E80-10268] p0176 N80-29815 Study of geological structure of Sicily and other Italian soil conservation p02O4 A80-51304 areas --- Gulf of Orosei, Eastern Sardinia Errors in automatic pass point mensuration using digital Perspectives of remote sensing applications to the study techniques (£80-10299) p0192 N80-30866 of hydric balance in the EEC countries and to the global Application Explorer Miss ion-A heat capacity mapping [AD-A087443] p0220 N80-31859 evaluation of ground water resources pO204 A80-51305 Terrain analyst synthesizer station mission — Bavaria. Germany and Marrakech, Morocco Indian remote sensing satellite program and its [AD-A087370J p0187 N80-31860 [E80-10309] p0219 N80-30875 Application of thematic mapping techniques in terrain contribution to water resources management Correlation of under-ice roughness with satellite and analysis p0204 A80-51307 airborne thermal infrared data — Beaufort Sea and Arctic [AD-A089061] p0222 N80-33847 The utility of Landsat-D for water-resources studies Ocean pack ice TERRESTRIAL RADIATION p0205 A80-51309 (AD-A085512] p0198 N80-30880 Thermal balance of soils Results of the complex processing of photographs taken Infrared-temperature variability in a large agricultural field (INPE-1859-RPE/210] p0180 N80-33841 from the Salyut space stations p0212 A80-53004 --- Dunnigan, California TEXAS Applications of statistics to thematic mapping {E80-10331] p0178 N80-32822 Using 70-mm aerial photography to identify rangeland P0186 A80-53051 On extracting brightness temperature maps from sites p0175 A80-53056 Using 70-mm aerial photography to identify rangeland scanning radiometer data — techniques for algorithm Microwave radiometer measurements of soil moisture sites p0175 A80-53056 design content p0176 A80-53890 Landsat-D - Overview and implications [NASA-TM-81989] p0221 N80-32838 As-built design specification for areas added to the p0224 AS 0-5 3609 The influence of topographic structures on night-time monthly bases of Texas, Minnesota and USSR Thematic mapper studies band correlation analysis surface temperatures: Evaluation of a satellite thermal [£80-10241] 0216 N80-29810 P (NASA-TM-80716] p0216 N80-29825 image of the upper Rhine plain and the surrounding Light reflectance, transmrttance, and utilization within a Florida water resources highlands --- Germany and Switzerland vegetative canopy --- Texas [£80-10228] p0179 N80-33829 (£80 102821 P0177 N80-30851 [E80-10246] p0205 N80-30829 AgRISTARS cropping practices and crop characteristics Florida water resources. Executive summary The use of radiation temperature to detect water-stress based on 1979 ESCS observations — Arkansas, [E80-10247] p0205 N80-30830 in sugarcane crop --- Brazil (INPE-1767-TDL/028) p0179 N80-33839 California. Georgia, Illinois. Iowa. Louisiana. Minnesota. Classification of multispectral images according to Mississippi, Missouri. Nebraska, North Carolina. North crosswise textural characteristics --- Mato Grasso, Brazil THERMAL RADIATION Dakota. Ohio. Pennsylvania. South Carolina, and Texas (E80-10257) pO218 N80-30840 Airborne thermal viewer having a circular scanner viewing axis . p0223 A80-52046 (E80 10292) p0177 N80-30860 Evaluating the reforested area for the municipality of Buri An exploratory study to develop a cluster-based area by automatic analysis of LANDSAT imagery --- Sao Paulo. THUNDERSTORMS estimation procedure --- Colorado. Kansas. Minnesota. Brazil A new era in technology: Proceedings of the Seventeenth Nebraska. Texas. South Dakota. Oklahoma, and North [E80-10258] pO176 N80-30841 Space Congress, Cocoa Beach. Fla., April 3O-May 2. 1980 p0210 A80-51926 Dakota Use of LANDSAT data for estimating the area of sugar [E80 10295] p0177 N80-3O863 cane in the state of Sao Paulo — Brazil TIDAL FLATS Using LANDSAT digital data for estimating green biomass [E80-10260] p0177 N80-30843 Tidal land mapping from Landsat pO185 A80-50896 --- Throckmorton, Texas test site and Great Plans Corridor, The geomorphology of Mont-Saint-Michel Bay studied Utilization of LANDSAT data to inventory the sugar cane US from the remote sensing of instantaneous shorelines in the state of Sao Paulo [E80-10328] p0178 N80-32819 p0201 A80-50899 [E80-10261] 0177 N80-30844 TEXTURES P TIDES Classification of multispectral images according to Griziry bear habitat analysis. Section 3: LANDSAT-1 Observed short-time temperature variations and tidal crosswise textural characteristics — Mato Grasso. Brazil mutlispectral imagery and computer analysis of grizzty bear current constants in the North Sea south east of the Dogger (E80-10257) p0218 N80-30840 habitat — Slategoat. Scapegoat and Danaher areas, Bank /Comparison of two seasons/ p0197 A80-54060 THEMATIC MAPPING Montana Applications of HCMM data to soil moisture snow and The La ndsai-0/Global Positioning System experiment [NASA-CR-163382] pO177 NSO-30867 estuarine current studies --- Cooper River and Delaware (AIAA PAPER 80-1678) pO209 A80-46522 Mapping urbanized area expansion through digital image Bay Unsupervised classification of MSS Landsat data for processing of LANDSAT and conventional data — Orlando. [E80-10269I p0205 N80-29816 mapping spatially complex vegetation p0173 A80-47744 Florida: Seattle. Washington: and Boston, Massachusetts TIMBER IDENTIFICATION Identifying irrigated lands using remote sensing (E80-10301] p0182 N80-30868 Evaluating the reforested area for the municipality of Buri techniques: State of the Art: Proceedings of the Symposium. The contribution of the diffuse light component to the by automatic analysis of LANDSAT imagery --- Sao Paulo. Sioux Falls. S. Dak.. November 15. 16. 1979 topographic effect on remotery sensed data Brazil p0174 A80-49136 (NASA-TM 80728) p0186 N80-30876 [E80-10258] p0176 N80 30841 A-27 TIMBER INVENTORY SUBJECT INDEX

An investigation of vegetation and other Earth TRENDS URBAN PLANNING resource/ feature parameters using LANDS AT and other The global 2000 report to the president. Entering the Program on stimulating operational private sector use remote sensing data. 1: LAND SAT. 2: Remote sensing twenty-first century, volume 1 p0228 N80-32295 of Earth observation satellite data of volcanic emissions -•- Lower Hudson River estuary; TROPICAL METEOROLOGY [E80-102331 p0227 N80-29802 Maine: White Mountain National Forest. New Hampshire: Study of floods in Bangladesh and India with the help URBAN RESEARCH Ml. St. Helens and Metsachee Creek, Washington: and the of meteorological satellites p0204 A80-51306 Effects of radar system parameters, population, and Santiaguito and Feugo volcanoes. Guatemala TURBIDITY environmental modulation on settlement visibility (E80-10312] . p0225 N80-32807 Multispectral techniques for remote monitoring of p0181 A80-47746 Application of remote sensing to state and regional sediment in water: A feasibility investigation Spatial filtering of Landsat data for urban cartography problems --- Mississippi [PB80-198500] p0207 N80-33849 v p0185 A80-50892 (E80-10338] p0183 N80-32826 Mapping urbanized area expansion through digital image Turbid water measurements of remote sensing The use of LAND SAT data for evaluation and processing of LANDSAT and conventional data — Orlando, penetration depth at visible and near-infrared wavetength characterization of deforested pasturetand and reforested Florida: Seattle. Washington: and Boston. Massachusetts [NASA-TM-81843] p0207 N80-33927 areas in Brazil [E80-10301] p0182 N80-30868 [INPE-1794-RPE/166] p0179 N80-32836 TURTLES USER MANUALS (COMPUTER PROGRAMS) TIMBER INVENTORY A continuation of base-line studies for environmentally Program documentation: Final design specification for Information extraction from a Landsat image contained monitoring Space Transportation Systems (STS) at John dot data base update deck conversion program (DOTDEC) within an artificial outline p0210 A80-50889 F. Kennedy Space Center. Volume 4: Threatened and [E80-10178] p0213 N80-28779 The cartography of Chize forest through remote endangered species of the Kennedy Space Center. Part LACIE/ phase 3 Adjustable Crop Calendar (ACC) sensing p0175 A80-50900 V. Marine turtle studies configuration control procedures manual Use of collateral information to improve LANDSAT (NASA-CR-163122-VOL-4-PT-1] p0183 N80-31969 [E80-10186] p0213 N80-28786 classification accuracies •-- Ventura County and Klamath User's guide: Large Area Crop Inventory Experiment National Forest, California {LACIE) phase 3 POP 11/45 automatic status and tracking (E80-10268) p0176 N80-29815 U system Cornell University remote sensing program -*- New York [E80-10194] P0214 N80-28791 State As-built design for enhancement of the automatic status U.S.S.R. [E80-10280} p0227 N80-29823 and tracking system software A method for mapping soil reflectance Forest resource information system, phase 3 --- St. Regis [E80-10197J 0214 N80-28794 p0175 A80-49655 P Paper Co.: Picayune. Mississippi User documentation EOD-LARSYS Earth Observations [E80-10242) p0176 N80-30825 The appearance of the Main Ural Fault in a cloud field Division version of the Laboratory for Applications of Remote Evaluating the reforested area for the municipality of Buri on space photographs p0189 A80-49664 sensing system by automatic analysis of LANDSAT imagery — Sao Paulo. Estimates of the accuracy of the brightness conjunction IE80-10188] P0214 N80-29780 Brazil of multispectral photographs p0210 A80-49665 User manual for the Earth observations Division R and [E80-10258] p0176 N80-30841 New data on the geological structure of the D to OLPARS dot data conversion TIMBER VIGOR Verkhoiany-Kolyma fold region from an analysis of satellite [E80-10236] p0216 N80-29805 Aerial color infrared photography applications to TV images p0211 A80-52051 Preliminary user guide for the program GTDDM (Ground citriculture p0175 A80-51944 Geological analysis of the Urals-Oman superfineament Truth Dot Dump) TOPOGRAPHY from satellite imagery p0211 A80-52052 [E80-10244] p0217 N80-30827 Spaceborne imaging radar • Geologic and oceanographic Mapping a geologicostructural scheme of the Kola User's guide Large Area Crop Inventory Experiment applications p0223 A80-47480 peninsula from satellite imagery p0211 A80-52053 (LACIE) phase 3 PDP 11/45 automatic status and tracking A color plotter system and its applications in Experiment with the composition of a geological map system geoscience p0209 A80-49099 on the basis of interpretations of Meteor satellite television [E80-10256] P0217 N80-30839 Cartographic processing and analysis of satellite imagery: images /using Central Asia as an example/ User's guide for the Yield Estimation Subsystem Data International Conference. 3rd, Toulouse, France. June Management System (YESDAMS) P0211 A80-52054 19-22. 1979, Proceedings p0185 A80-50876 Analysis of the results of an interpretation of satellite [E80-10276] p0218 N80-30849 A study of the needs of French government agencies in and aeriat protography of Western Uzbekistan Operator's guide for LACIE phase 3 automatic status remote sensing mapping p0181 A80-50882 p0211 A80-52055 and tracking system The combined plotting of satellite photographs and aerial Comparison of interpretations of radar images and space [E80-10284] p0218 N80-30862 photographs for topographic mapping p0185 A80-50895 photographs of a high degree of generalization on the Draft user procedures: Software wheat yield Basic topographic mapping - Renewal and revision example of the Zarkainarskii intrusive massif /southern predict ions/foreign equivalent test --- Kansas. Oklahoma, p0185 A80-50897 Tien-Shan/ p0212 A80-52066 and Nebraska The geomorphology of Mont-Saint-Michel Bay studied As-built design specification for historical daily data bases [£80-10287] p0218 N80-30855 from the remote sensing of instantaneous shorelines for testing advanced models --- Kansas, North Dakota, and P0201 A80-50899 U.S.S.R. Computer-aided watershed analyses using remote [E80-10198] p0214 N80-28795 sensing based regional information systems As-built design specification for areas added to the p0204 A80-51299 monthly bases of Texas, Minnesota and USSR VALLEYS Investigation of the accuracy of transposition of landmarks [E80-10241] p0216 N80-29810 The influence of topographic structures on night-time and contour points to small-scale aerial photographs U.S.S.R. SPACE PROGRAM surface temperatures: Evaluation of a satellite thermal p0212 A80-53005 Earth observation from space today and tomorrow image of the upper Rhine plain and the surrounding Study of geological structure of Sicily and other Italian p0227 A80-50280 highlands ••- Germany and Switzerland areas -— Gulf of Orosei, Eastern Sardinia Utilization of space for scientific and economic purposes [E80-10228] p0179 N80-33829 [E80-10299] p0192 N80-30866 in the USSR in 1978 — Russian book VEGETABLES The contribution of the diffuse light component to the p0227 A80-53148 Irrigated lands assessment for water management topographic effect on remotely sensed data UNITED KINGDOM Applications Pilot Test (APT) --- California INASA-TM-80728] . p0186 N80-30876 The detection of linear features using Landsat data [E80-10324] p0178 NBO-32815 Terrain analyst synthesizer station p0210 A80-51013 VEGETATION [AD-A087370] p0187 N80-31860 HCMM satellite follow-on investigation no. 025: Soil Vegetation clutter model p0173 A80-44262 Additions and corrections to the bibliography of geologic moisture and heat budget evaluation in selected European Simulation of solar radiation- absorption in vegetation studies, Columbia Plateau (Columbia River Basalt) and zones of agricultural and environmental interest (TELLUS canopies p0173 A80-46451 adjacent areas, in Idaho. 1980 Project) — France, Germany, Italy. United Kingdom, and Unsupervised classification of MSS Landsat data for [RHO-BWI-C-68] p0192 N80-32013 the Benelux countries mapping spatially complex vegetation p0173 A80-47744 A watershed information system p0207 N80-33825 [E80-10332] P0178 N80-32823 Effects of radar system parameters, population, and The influence of topographic structures on night-time UNITED STATES OF AMERICA environmental modulation on settlement visibility . surface temperatures: Evaluation of a satellite thermal Applications of HCMM data to soil moisture snow and p0181 A80-47746 image of the upper Rhine plain and the surrounding estuarine current studies --- Cooper River and Delaware A color plotter system and its applications in highlands — Germany and Switzerland Bay geoscience p0209 A80-49099 [E80-10228] p0179 N80-33829 [E80-10269] p0205 N80-29816 Computer-assisted production of multi-coloured maps TOPOLOGY As-built design specification for phase 3 model areas P0209 A80-49521 The use of topology concepts for supervised and added to the monthly data base of the US •— Montana, Optical methods for the study of biocenoses on land unsupervised classifications -•• of satellite images South Dakota. Oklahoma. Nebraska, and Colorado and sea p0201 A80-49656 p0210 A80- 50891 [E80-10263J p0218 N80-30846 Application of Landsat-2 data for obtaining land TOWERS The integrated analysis procedure for identification of information pOl91 A80-51092 spring small grains and barley ••• Great Plains Corridor: Anomalous snowfall caused by natural-draft cooling Computer-aided watershed analyses using remote U.S. and Canada towers sensing based regional information systems [E80-10274J p0177 N80-30847 [RAND/N-1479-DOE) p0206 N80-32024 p0204 A80-51299 TRACE CONTAMINANTS Monitoring the use of riverways with aerial photography: The development, testing, and evaluation of a computer The environmental program at Kennedy Space Center - Smoke as a quantitative atmospheric diffusion tracer Baseline to monitoring pOlSI A80-51935 p0182 A80-53265 assisted methodology [AD-A086471] 0182 N80-30877 Diurnal behavior of the spectral reflectivity of vegetation TRAJECTORY OPTIMIZATION P UP WE LUNG WATER and soils p0211 A80-52057 Spacecraft trajectories for the remote sensing of the Remote sensing of coastal environment and resources Invariant photometric features of natural objects earth 0223 A80-49662 P 0202 A80-51281 p0211 A80-52058 TRANSPORTATION P URANIUM Determination of the spectral characteristics of soils and Program on stimulating operational private sector use Uranium - Spectral discrimination of alteration vegetation p0211 A80-52059 of Earth observation satellite data phenomena in sediments p0189 A8O-49524 [E80-10233] p0227 N80 29802 Errors incurred in estimating an area of uniform land Aerial gamma ray and magnetic survey: Raton Basin cover using Landsat pO175 A80-53052 TREES (PLANTS) project. The Raton and Santa Fe quadrangles of New Microwave radiometer measurements of soil moisture Evaluating the reforested area for the municipality of Buri Mexico content p0176 A80-53890 by automatic analysis of LANDSAT imagery --- Sao Paulo. [GJBX-9(80)-VOL-2] p0192 N80-30881 Digital LANDSAT data analysis of Tennessee Brazil URBAN DEVELOPMENT [E80-10258] p0176 N80-30841 The application of remote sensing to resource [E80-10130] P0212 N80:28768 The use of LA N DSAT data for evaluation and management and environmental quality programs in Kansas Florida water resources characterization of deforested pastureland and reforested — kahsas: roy's and phony creeks watersheds: the proposed [E80-10246] P0205 N80-30829 areas in Brazil tallgrass prairie national park and pin ford lake, missouri. Florida water resources. Executive summary [INPE-1794-RPE/166] pO179 N80-32836 [E80-10337] p0183 N80-32825 [E80-10247] P0205 N80-30830 A 28 SUBJECT INDEX WATER WAVES

Study of geological structure of Sicily and other Italian WATER BALANCE A quantitative evaluation of LANDSAT for monitoring areas — Gulf of Orosei. Eastern Sardinia Perspectives of remote sensing applications to the study suspended sediments in a fluvial channel [E80-10299] p0192 N80-30866 of hydric balance in the EEC countries and to the global p0206 N80-33823 Application Explorer Mission-A heat capacity mapping evaluation of ground water resources p0204 A80-51305 Turbid water measurements of remote sensing mission --- Bavaria, Germany and Marrakech, Morocco WATER CIRCULATION penetration depth at visible and near-infrared wavelength [E80-10309] pO219 N80-30875 Use of satellite imagery for the derivation of the [NASA-TM-81843] p0207 N80-33927 Evaluation of remote sensing techniques on selected hydro-geologic characteristics of a test area in semiarid Assessment of the role of remote sensing in the study forest sites in Florida --- Fort Myers and Gainesville test climates p0202 A80-51284 of inland and coastal waters sites Perspectives of remote sensing applications to the study (NASA-TM-81881] p020O N80-34048 [E80-10296] p0177 N80-32805 of hydric balance in the EEC countries and to the global evaluation of ground water resources p0204 A80-51305 WATER RESOURCES Application of remote sensing to selected problems within The contribution of space observations to water resources Phytoplankton pigments from the Nimbus-7 Coastal Zone the state of California -•- Mendocino. Colusa. and Shasta management: Proceedings of the Symposium, Bangalore. Color Scanner - Comparisons with surface measurements Counties p0197 A80-51491 India. May 29-June 9. 1979 p0201 A80-51278 [E80-10326] p0183 N80-32817 Applications of HCMM data to soil moisture snow and Space observations for water resources - A potential to Using LANDS AT digital data for estimating green biomass estuarine current studies — Cooper River and Delaware be developed p0201 A80-51279 --- Throckmorton. Texas test site and Great Plans Corridor. Bay Remote sensing of coastal environment and resources US [E80-10269) p0205 N80-29816 p0202 A80-51281 (E80-10328) P0178 N80-32819 WATER COLOR Terrain analysis and hydrogeologic interpretations from Applied Remote Sensing Program (ARSP) -•- Arizona Optical methods for the study of biocenoses on land satellite imagery p0202 A80-51285 [E80-10330] p0178 N80-32821 and sea p0201 A80-49656 Remote sensing of water resources in Panch Mahals Further developments of the TELL-US model. 1: An Nimbus-7 coastal zone color scanner • System description district p0202 A80-51286 implicit finite difference scheme for the numerical and initial imagery p0197 A80-51490 Evaluation of hydrogeologic conditions in Ponnaiyar River approximation of the ground heat flux. 2: A simple Phytoplankton pigments from the Nimbus-7 Coastal Zone basin. South India using remotely sensed data algorithm for estimating the actual and potential Color Scanner • Comparisons with surface measurements p0203 A80-51288 evapotranspiration of vegetated surfaces from one remotely p0197 A80-51491 Remote sensing in search for ground water - Some case sensed surface temperature near the daily maximum An investigation of vegetation and other Earth histories p0203 A80-51289 [E80-10333] p0178 N80-32824 resource/feature parameters using LANDSAT and other Snow mapping from space platforms The application of remote sensing to resource remote sensing data. 1: LANDSAT. 2: Remote sensing p0203 A80-51293 management and environmental quality programs in Kansas of volcanic emissions ••• Lower Hudson River estuary; — kansas: roy 'sand phony creeks watersheds; the proposed Maine; White Mountain National Forest. New Hampshire; Problems of snow cover assessment - An approach using tallgrass prairie national park and pin ford lake, missouri. Mt. St. Helens and Metsachee Creek, Washington; and the remote sensing techniques in a pilot project in the Beas [E80-10337] p0183 N80-32825 Santiaguito and Feugo volcanoes. Guatemala river basin. Himachal Pradesh. India p0203 A80-51294 Application of remote sensing to state and regional (E80-10312] p0225 N80-32807 Microwave emission properties of snow for monitoring problems --- Mississippi WATER CONSUMPTION hydrological parameters p0203 A80-51297 [E80-10338] p0183 N80-32826 Irrigated lands assessment for water management Computer-aided watershed analyses using remote Applications Pilot Test (APT) — California Characterization of Cerrado vegetation using sensing based regional information systems (E80-10324] p0178 N80-32815 automatically classified LANDSAT MSS data p0204 A80-51299 WATER DEPTH (INPE-1790-RPE/162) p0179 N80-32835 Floodplains mapping of Gangetic basin using Landsat The Gulf Stream Meanders experiment: Current meter, imagery p0204 A80-51303 A watershed information system p0207 N80-33825 atmospheric, and sea level data report for the mooring Perspectives of remote sensing applications to the study Interactive digital image processing investigation, phase period of hydric balance in the EEC countries and to the global 2 [AD-A088069] p0199 N80-33077 evaluation of ground water resources p0204 A80-51305 [AD-A087518] p0222 N80-3384B Turbid water measurements of remote sensing VEGETATION GROWTH penetration depth at visible and near-infrared wavelength Indian remote sensing satellite program and its Overview of the Landsat system p0174 A80-49137 JNASA-TM-81843] p0207 N80-33927 contribution to water resources management p0204 A80-51307 The applicability of remote sensing to Earth biological WATER MANAGEMENT problems. Pan 2: The potential of remote sensing in The Columbia River and Tributaries Irrigation Withdrawals The utility of Landsat-D for water-resources studies pest management Analysis Project * Feasibility analysis and future plans p0205 A80-51309 [NASA-CR-163589] p0178 N80-32830 p0174 A80-49141 Earth observation systems in Japan --- for water resources The use of LANDSAT data for evaluation and Development and application of Landsat-derived study p0205 A80-51310 characterization of deforested pastureland and reforested irrigation cropland maps for water use determination in Florida water resources areas in Brazil the High Plains p0175 A80-49144 [E80-10246] P0205 N80-30829 [INPE-1794-RPE/166] p0179 N80-32836 Earth observation systems in Japan--- for water resources Florida water resources. Executive summary VERY LONG BASE INTERFEROMETRY study p0205 A80-51310 [E80-10247] p0205 N80-30830 NASA geodetic applications of the Mark 3 VLB! Application of remote sensing to selected problems within system p0186 N80-28841 Florida water resources [E80-10246] p0205 N80-30829 the state of California -•- Mendocino. Colusa, and Shasta VIEW EFFECTS Counties Florida water resources. Executive summary Airborne thermal viewer having a circular scanner viewing IE80-10326] 0183 N80-32817 IE80-10247| p0205 N80-30830 P axis p0223 A80-52046 WATER RUNOFF VINEYARDS Irrigated lands assessment for water management The contribution of space observations to water resources Cornell University remote sensing program -•• New York Applications Pilot Test (APT) — California management: Proceedings of the Symposium, Bangalore, State IE80-10324] P0178 N80-32815 India. May 29-June 9. 1979 p0201 A80-51278 [E80-10280] P0227 N80-29823 Applied Remote Sensing Program (ARSP) — Arizona WATER TEMPERATURE Irrigated lands assessment for water management |E80-10330) P<>178 N80-32821 Dynamical interpretation of satellite-sensed thermal Applications Pilot Test (APT) — California A watershed information system p0207 N80-33825 features off Vancouver Island p0195 A80-46315 [E80-10324) p0178 N80-32815 WATER POLLUTION Thermal fronts in the Mediterranean according to NOAA VIRGINIA Some results of remote sensing in Yugoslavia 5 satellite radiometer data /September 1977-February In situ ozone data for evaluation of the laser absorption p0191 A80-51091 1979/ p0195 A80-48750 spectrometer ozone remote sensor: 1979 southeastern HCMM energy budget data as a model input for assessing Microwave radiometric determination of oceanographic Virginia urban plume study summer field program and meteorological parameters p0223 A80-51579 [NASA-TM-81831) p0183 N80-33928 regions of high potential groundwater pollution — South Dakota Satellite studies of fresh-water ice movement on Lake VOLCANOES Erie p0205 A80-53611 [E80-103101 P0206 N80-32806 Volcanic material from Mount St Helens in the Applications of HCMM data to soil moisture snow and Satellite monitoring of sea surface pollution --- Irish and stratosphere over Europe p0182 A80-54074 estuarine current studies -- Cooper River and Delaware An investigation of vegetation and other Earth north seas [E80-10329) p0199 N80-32820 Bay re source/ feature parameters using LANDSAT and other |E80-10269] p0205 N80-29816 remote sensing data. 1: LANDSAT. 2: Remote sensing Multispectral techniques for remote monitoring of Heat capacity mapping mission project HCM-051 —- East of volcanic emissions --* Lower Hudson River estuary; sediment in water: A feasibility investigation Australian Current and the Tasman Front Maine: White Mountain National Forest. New Hampshire; [PB80-198500] p0207 N80-33849 (E80-10278) p0198 N80-30850 Mt. St. Helens and Metsachee Creek, Washington; and the WATER QUALITY Remote sensing applied to the prospecting of geothermal Samiaguito and Feugo volcanoes. Guatemala Quantitative interpretation of Great Lakes remote sensing anomaly in Caldas Novas County. State of Goias. Brazil [E80-10312] p0225 N80-32807 data pO201 A80-45005 (INPE-1792-RPE/164) pO193 N80-32837 Satellite observations of a nutrient upwelling off the coast On the inference of oceanic currents or eddies by of California p0195 A80-45015 spaceborne altimetry through the dynamic method for the W Nonzero subsurface irradiance reflectance at 670 nm from determination of three dimensional density (temperature) Lake Ontario water masses p0201 A80-45428 field WASHINGTON Remote sensing of paniculate concentrations in water (AD-AOS8082) p0199 N80-33076 The Columbia River and Tributaries Irrigation Withdrawals p0201 A80-46450 WATER WAVES Analysis Project • Feasibility analysis and future plans Methods for the extraction of long-period ocean wave A continuation of base-line studies for environmentally p0174 A80-49141 parameters from narrow beam HF radar sea echo monitoring space transportation systems at John F. Kennedy Mapping urbanized area expansion through digital image pO195 A80-46095 Space Center. Volume 3, part 1: Ichthyological survey processing of LANDSAT and conventional data ••• Orlando, Observation of wavelike motion of the Gaspe Current of lagoonal waters --- Indian River lagoon system Florida: Seattle. Washington; and Boston. Massachusetts p0195 A80-46309 [NASA-CR-163122-VOL-3-PT-1] pOI97 N80-28939 |E80 10301] p0182 N80-30868 The problems of SAR imagery of ocean waves LANDSAT data as a basis for regional environmental A continuation of base-line studies for environmental p0196 A80 50300 assessment within the Columbia Plateau monitoring space transportation systems at John F. Kennedy Radar observations of wave transformations in the vicinity [RHO-BWI-SA-43] p0183 N80-31862 Space Center. Volume 3. part 2: Ichthyological studies. of islands pO196 A80-51408 An investigation of vegetation and other Earth saitfin molly reproduction study Comparisons between wave directional spectra from SAR resource/feature parameters using LANDSAT and other [NASA-CR-163122-VOL-3-PT-2] p0198 N80-28940 and pressure sensor arrays pO196 A80-51409 remote sensing data. 1: LANDSAT. 2: Remote sensing Remote sensing of the ocean: Physical, chemical, and Synthetic aperture radar imaging of ocean waves * of volcanic emissions -— Lower Hudson River estuary: geologic properties. Citations from the NTIS data base Comparison with wave measurements Maine; White Mountain National Forest. New Hampshire: [PB80-811235) p0198 N80-30884 pO196 A80 51411 Mt. St. Helens and Metsachee Creek. Washington; and the Remote sensing procedures for detecting and monitoring Wallops waveform analysts of SEA SAT-1 radar altimeter Saniiaguho and Feugo volcanoes. Guatemala various activities regulated by the Mobile District data IE80 10312| pO225 N80-32807 [AD-A087584] pO206 N80-31973 (NASA-CR-156869) pO198 N80-29637 A-29 WATERSHEDS SUBJECT INDEX

Ocean wave sensing. Citations from the NTIS data As-built design specification for areas added to the Detailed design specification for the Yield Estimation base monthly bases of Texas. Minnesota and USSR Subsystem Data Management System (YESDAMS) [PB80-812878] p0200 N80-34053 [E80-10241] P0216 N80-29810 [E80-10180] P0213 N80-28781 WATERSHEDS As-buitt design specification for the India monthly data User's guide'- Large Area Crop Inventory Experiment The contribution of space observations to water resources base {LACIE) phase 3 POP 11/45 automatic status and tracking management; Proceedings of the Symposium. Bangalore. [E80-10264] P0216 N80-29811 system India, May 29-June 9. 1979 p0201 A80-51278 Detailed design specification for the automatic status [E80-10194] pQ214 N80-28791 Computer-aided watershed analyses using remote and tracking system modifications for LACIE procedure 1 As-built design specification for the Yield Estimation sensing based regional information systems Subsystem (YES) monthly yield data base and supporting (E80-10243] P0217 N80-30826 p0204 A80-51299 programs Investigation of the application of HCMM thermal data As-built design specification for scatter plots for direct wheat [E80-10218] p0215 N80-29795 to snow hydrology — Salt-Verde watershed, Arizona and [E80-10250] 0217 N80-30833 Operational changes for the Kansas State University the Sierra Nevada Mountains. California P wheat model [£80-10297] p0205 N80-30864 As-built design specification for phase 3 model areas (E80-102231 P0176 N80-29797 Application of remote sensing to selected problems within added to the monthly data base of the US — Montana, As-built design specification for areas added to the the state of California --- Mendocino, Colusa. and Shasta South Dakota, Oklahoma, Nebraska, and Colorado monthly bases of Texas. Minnesota and USSR [E80-10263] P0218 N80-30846 Counties [E80-10241] P0216 N80-29810 IE80-10326] P0183 N80-32817 Light reflectance, transmittance. and utilization within a As-built design specification for the India monthly data The application of remote sensing to resource vegetative canopy — Texas base IE80-10282] 0177 N80-30851 management and environmental quality programs in Kansas P [E80-10264] P0216 N80-29811 — kansas: roy's and phony creeks watersheds; the proposed Draft user procedures: Software wheat yield Sampling of rectangular regions tallgrass prairie national park and pin ford lake, missouri. predictions/foreign equivalent test --- Kansas. Oklahoma, [E80-10272] p0176 N80-29819 [E80-10337] P0183 N80-32825 and Nebraska Remote sensing research studies A watershed information system p0207 N80-33825 [E80-10287] P0218 N80-30855 |E80-10117) p0176 N80-30823 WATERWAYS AgRISTARS cropping practices and crop characteristics As-built design specification for phase 3 model areas Remote sensing procedures for detecting and monitoring based on 1979 ESCS observations -•• Arkansas. added to the monthly data base of the US — Montana. various activities regulated by the Mobile District California, Georgia. Illinois. Iowa, Louisiana. Minnesota. South Dakota. Oklahoma. Nebraska, and Colorado (AD-A087584] p0206 N80-31973 Mississippi. Missouri. Nebraska. North Carolina, North [E80-10263] p0218 N80-30846 WAVE FRONTS Dakota, Ohio. Pennsylvania. South Carolina, and Texas User's guide for the Yield Estimation Subsystem Data Heat capacity mapping mission project HCM-051 --- East (E80-10292) p0177 N80-30860 Management System (YESDAMS) Australian Current and the Tasman Front Maximal analysis labeling procedure tpreliminary) [EBO-10276] p0218 N80-30849 [E80-10278J p0198 N80-30850 [E80-10294] p0219 N80-30862 Use of soil moisture information in yield models WAVEFORMS An exploratory study to develop a cluster-based area [E80-10302] P0177 N80-30869 Radar altimeter mean return waveforms from estimation procedure --- Colorado. Kansas, Minnesota. YUGOSLAVIA near-normal-incidence ocean surface scattering Nebraska. Texas, South Dakota. Oklahoma, and North Some results of remote sensing in Yugoslavia p0224 A80-53891 Dakota pQ191 A80-51091 Wallops waveform analysis of SEASAT-1 radar altimeter (E80-10295] P0177 N80-30863 data Analysis of scanner data for crop inventories [NASA-CR-156869] p0198 N80-29637 [E80-10308] P0219 N80-30874 WEATHER FORECASTING An algorithm for estimating crop calendar shifts of spring Satellite temperature monitoring and prediction system small grains using LANDSAT spectral data p0211 A80-51943 [E80-10314] P0178 N80-32809 Cornell University remote sensing program --- New York Planning and execution of a photographic mission over State a wheat producing region in Rio Grande do Sul. Brazil (E80-10280] p0227 N80-29823 [INPE-1793-RPE/165] P0179 N80-32833 Development of techniques to specify cloudiness and A model of plant canopy polarization response rainfall rate using GOES imagery data {E80-10336J p0179 N80-33835 [AD-A084757) p0206 N80-33064 WILDERNESS The United States space observation policy Remote sensing of wildland resources: A state-of-the-art [NASA-TM-76373] p0228 N80-33425 review The Federal Plan for Meteorological Services and [PB80-184609] p0177 N80-30882 Supporting Research, fiscal year 1981 WILDLIFE [PB80-199482] p0228 N80-34041 Digital LANDSAT data analysis of Tennessee WELLS [E80-10130) p0212 N80-28768 Remote sensing application in groundwater surveys and Grizzly bear habitat analysis. Section 3: UANDSAT-1 exploration in India p0202 A80-51280 muttispectral imagery and computer analysis of grizzly bear WETLANDS habitat — Slategoat. Scapegoat and Danaher areas. Remote sensing of coastal environment and resources Montana p0202 A80-51281 [NASA-CR-163382] p0177 N80-30867 Digital LANDSAT data analysis of Tennessee A continuation of base-line studies for environmentally [E80-10130J P0212 N80-28768 monitoring Space Transportation Systems (STS) at John Florida water resources F. Kennedy Space Center. Volume 4: Threatened and [E80-10246] P0205 N80-30829 endangered species of the Kennedy Space Center. Part Florida water resources. Executive summary 1: Marine turtle studies |E80-10247l p0205 N80-30830 [NASA-CR-163122-VOL-4-PT-1) pOI 83 N80-31969 Remote sensing procedures for detecting and monitoring Applied Remote Sensing Program (ARSP) — Arizona [E80-10330] p0178 N80-32821 various activities regulated by the Mobile District [AD-A087584] p0206 N80-31973 The application of remote sensing to resource management and environmental quality programs in Kansas WHEAT — kansas; roy's and phony creeks watersheds; the proposed As-built design specification for the Yield Estimation tallgrass prairie national park and pin ford lake, missouri. Subsystem (YES) operational Robertson phonological (E80-10337] P0183 N80-32825 model WIND EFFECTS [E80-10170] P0212 N80-28771 Comparisons between wave directional spectra from SAR As-built design specification for the Brazil and China and pressure sensor arrays p0196 A80-51409 monthly data bases WIND MEASUREMENT [E80-10172] P0213 N80-28773 Comparison of surface wind stress measurements - Program documentations: M ARQTY1 .FTN. Airborne radar scatterometer versus sonic anemometer CAMDATA1-FTN P0196 A80-51407 [E80-10182] P0213 N80-28783 WIND VELOCITY MEASUREMENT LACIE field measurements data acquisition summary Comparison of surface wind stress measurements • report. 1976 - 1976 crop year — Finney County. Kansas: Airborne radar scatterometer versus sonic anemometer Williams County, North Dakota; and Hand County, South p0196 A80-51407 Dakota WISCONSIN [E80-10193] P0214 N80-28790 Composition and assembly of a spectral data base for As-built design specification of the CAMS/CAS interface corn and soybean multicrop segments --- Missouri, tape report generation program for LACIE 6A Nebraska. South Dakota. Wisconsin, Iowa, Illinois, [E80-10196] P0214 N80-28793 Mississippi. Indiana. Kentucky. Minnesota. Michigan, and Louisiana As-built design specification for historical daily data bases [E80-10281) 0176 N80-29824 for testing advanced models --- Kansas, North Dakota, and P WYOMING U.S.S.R. Geologic application of thermal-inertia mapping from [E80-10198] P0214 N80-28795 satellite --- Powder River Basin, Wyoming Design specification for LARSYS procedure 1 [E80-10230] P0192 N80-29799 [E80-10199] p0214 N80-28796 As-built design specification for POP 11/45 accuracy assessment system (E80-102001 P0214 N80-28797 Program documentation: MARQUIS2.FTN YIELD (E80-10220] P0215 N80-29796 As-built design specification for the Yield Estimation Operational changes for the Kansas State University Subsystem (YES) operational Robertson phenological wheat model model [E80-10223] P0176 N80-29797 [E80-10170] p0212 N80-28771 Remote sensing of total dry-matter accumulation in As-built design specification for the Brazil and China winter wheat monthly data bases [E80-1023S] p0176 N80 29804 [£80-10172] P0213 N80-28773 A-30 PERSONAL AUTHOR INDEX

Earth Resources/ A Continuing Bibliography (Issue 28) JANUARY 1981

Typical Personal Author

Index Listing ANDERSON. F. BAIRD. K. W. Nimbus-7 coastal zone color scanner - System description Uranium - Spectral discrimination of alteration and initial imagery p0197 A80-51490 phenomena in sediments p0189 A80-49524 PERSONAL AUTHOR ANDERSON. W. H. BAKER, D. Overview of the Landsat system p0174 A80-49137 Substorm warnings • An ISEE-3 real time data system MOWI t. W. L P0209 A80-46225 PotiiDi* method* for distinguishing ic«b«rg« from ihips ANDREWS. J. C. BAKER. O. J. or tftttl remote sensing Heat capacity mapping mission project HCM-051 Large field-of-view interferometers lor environmental INASA-TM 79310) poose neo 15533 |E80-10278] p0198 N80-30850 sensing p0223 A80-48911 BAKER. E. T. ANUTA. M. A. Nimbus-7 coastal zone color scanner - System description Effects of radar system parameters, population, and and initial imagery pO.97 A80-51490 REPORT PAGE ACCESSION environmental modulation on settlement visibility TITLE p0181 A80-47746 BALL D. NUMBER NUMBER NUMBER Nimbus-7 coastal zone color scanner - System description AOKI. H. and initial imagery p0197 A80-51490 Characterization of Cerrado vegetation using BALL S. Listings in this index are arranged alphabetically automatically classified LANDSAT MSS data Heat capacity mapping mission project H CM-051 [INPE-1790-RPE/162] p0179 N80-32835 [E80-10278J p0198 N80-30850 by personal author. The title of the document APONASENKO. A. D. BANE. J. M. provides the user with a brief description of the Optical methods for the study of biocenoses on land The Gulf Stream Meanders experiment: Current meter, subject matter. The report, number helps to in- and sea p0201 A80-49656 atmospheric, and sea level data report for the mooring ARGENTIERO. P. period dicate the type of document listed (e.g.. NASA On extracting brightness temperature maps from [AD-A088069] P0199 N80-33077 repon. translation. NASA contractor report). scanning radiometer data BANERJEE, D. M. [NASA-TM-81989] p0221 N80-32838 Surface characteristics of Precambrian stromatolitic The page and accession numbers are located ARVANITIS. L G. phosphorites of a part of the Indian shield beneath and to the right of the title, e.g.. p0056 Evaluation of remote sensing techniques on selected p019l A80-51087 N80-15538. Under any one author's name the forest sites in Florida BANERJI. P. K. (E80-I0296) p0177 N80-32805 Interfacing with SEO technology - A case study in accession numbers are arranged in sequence ASKEW. A. J. geological application p0190 A80-51086 with the AIAA accession numbers appearing Space observations for water resources - A potential to BARNES, J. C first be developed p0201 A80-5I279 Investigation of the application of HCMM thermal data ASMUS. V. V. to snow hydrology Practical aspects of radiative correction of multispectral [E80-10297] p0205 N80-30864 video information p0211 A80-52060 BARNETT, U. R. ATKINSON. L P. Satellite temperature monitoring and prediction system Ocean chlorophyll studies from a U-2 aircraft platform ABOTTEEN. K. M. p0211 A80-51943 P0195 A80-45004 Evaluation of Bayesian sequential proportion estimation BARR. B. 6. using analyst labels AUCOIN. P. J.. JR. As-built design specification for LACIE formatted dot The application of remote sensing to resource [E80-10304] P0219 N80-30871 cards in EOD-LARSYS management and environmental quality programs in ABRAMS, M. J. [E80-10169) p0212 N80-28770 Kansas Uranium • Spectral discrimination of alteration As-built design specification for EOD-LARSVS procedure |E80-10337) p0183 N80-32825 phenomena in sediments p0189 A80-49524 1 BARRICK, D. ACHTERMANN. E. IE80-10174] p0213 N80-28775 Methods for the extraction of long-period ocean wave Conceptual study of a European remote sensing satellite Design specification for LARSYS procedure 1 follow-on parameters from narrow beam HF radar sea echo with combined optical and microwave payload (E80-10176) P0213 N80-28777 P0195 A80-46095 [BMFT-FB-W-79-18] p0224 N80-29407 Design specification for LARSYS procedure 1 BARTLETT. D. S. ACKERMAN. M. (E80-10199] p0214 N80-28796 Remote sensing of coastal environment and resources Volcanic material from Mount St Helens in the Design specification for secondary error sources p0202 A80-51281 stratosphere over Europe p0182 A80-54074 multi-temporal Bayes classifier BASTIDA, E. M. AHLERS. C. W. [E80-10205] P0215 N80-29784 Sensors for remote sensing As-built design specification for POP 11/45 accuracy Design specification for equiprobable blocks density (CISE-N-190] p0225 N80-31863 assessment system estimatory/classifier/dot selector BAUSCH. W. C. [E80-102001 p0214 N80-28797 [E80-10206] P0215 N80-29785 Development of a soil moisture model for use with passive Design specification for a list processing system Final design specification for EOO-LARSYS procedure microwave remote sensors p0179 N80-33828 1 follow-on [E80-10265] P0216 N80-29812 BAWEJA. B. K. IE80-10213] P0215 N80-29791 Preliminary user guide for the program GTDDM (Ground Remote sensing application in groundwater surveys and Design specification for LACIE formatted dot cards in Truth Dot Dump) exploration in India p0202 A80-51280 (E80-10244) 0217 NBO-30827 EOD-LARSYS P [E80-102I5J p0215 N80-29793 Remote sensing in search for ground water - Some case AS'butlt design specification for the Design specification for a merging program for formatted histories p0203 A80-5I289 Patterson-Pitt-Thadani minimum loss classifier image data files BECKER, R. H. IE80-10262] p0218 N80-30845 [E80-10234] p0216 N80-29803 Monitoring the use of riverways with aerial photography: AS'built design specification for a list processing Design specification for a list processing system The development, testing, and evaluation of a computer system [E80-10265] p0216 N80-29812 assisted methodology [E80-10325] p0221 N80-32816 Classification with spectral-spatial-temporal archetypes (AO-A086471) p0182 N80-30877 AHMAD. M. (E80-10251) P0217 N80-30834 BEUNSKII. A. N. Lineaments and their tectonic significance in relation to As-built design specification for CLASY program Automatic selection of reference objects for comparing mineral potential in south India p0190 A80-51085 modification aerial and satellite photographs p0212 A80-52063 AKSENOV. V. [E80-10253] P0217 N80 30836 BENNY. A. H. Raduga experiment: Multizona) photographing the Earth As-built specification for CLASSY conversion A study ot LA NO SAT multispect/al scanner data tapes from the Soyuz-22 spacecraft (E80-10307) p0219 N80-30873 [RAE-TR 80018] p0220 N80-31864 INASA-TM-76234) p0225 N80-31857 As-built design specification for a list processing BENSON. A. S. ALANI2. M. A. system Application of remote sensing to selected problems within Using 70-mm aerial photogtaphy to identify rangeland [E80-10325] p0221 N80-32816 the state of California sites p0175 A80-53056 AUSTIN. R. W. [E80-1O326] p0183 N80-32817 ALDRICH. R. C. Nimbus-7 coastal zone color scanner - System description BERG. C. P. Remote sensing of wildland resources: A state-of-the-art and initial imagery p0197 A80-51490 Eurasian snow cover extent - The NOAA satellite record. review 1966-79 P0203 A80-51295 (PB80-184609) p0177 N80-3O882 B BHATE. V. D. ALLISON. J. L Lineament study of the Bast a r district. Madhya Pradesh. As-built design specification for LACIE phase 3 automatic BABAEV, A. A. India, from Landsat imagery pO190 A80-51083 status and tracking system Airborne thermal viewer having a circular scanner viewing BHAVSAR, P. D. [E80-10175) D0213 N80-28776 axis P0223 A80-52046 The contribution of space observations to water resources ALVES, E. C. M. BAGCHI. A. K. management: Proceedings of the Symposium. Bangalore. The use of LANDSAT data for evaluation and Studies of snow accumulation characteristics on India. May 29-June 9. 1979 p0201 A8O-51278 characterization of deforested pastureland and reforested Himalayan slopes p02O3 A80-5I29S BIEO-CHARRETON. M. areas in Brazil BAHR. H.-P. A study of the needs of French government agencies in (INPM794-RPE/166I p0179 N80-32836 Tidal land mapping from Landsat p0185 A80-50896 remote sensing mapping pO181 A80-50882 B-1 BIRNIE, R. W. PERSONAL AUTHOR INDEX

BIRNIE, R. W. BURDICK, R. Q. Statistical Outlier Detection (SOD): A computer program An investigation of vegetation and other Earth Development of a method to detect geologic faults and for detecting outliers in data resource/feature parameters using LANDSAT and other other linear features from LANDSAT images [E80-10275] p0218 N80-30848 remote sensing data. 1: LANDSAT. 2: Remote sensing (PB80-189665] p0193 N80-32844 CHISM. S. B.. JR. of volcanic emissions BUSH. V. A. Seasat-A land applications data processing plan [E80-10312] P0225 N80-32807 Geological analysis of the Urals-Oman superlineament [E80-10317] P0221 N80-32810 BITZER. K. L from satellite imagery p0211 A80-52052 CHITTINENI, C. B. Conceptual study of a European remote sensing satellite BYKOVSKIY. V. Some approaches to optimal cluster labeling of aerospace with combined optical and microwave payload Raduga experiment1. Multizonal photographing the Earth imagery [BMFT-FB-W-79-18] p0224 N80-29407 from the Soyuz-22 spacecraft [E80-10273] p0216 N80-29820 Estimation of probabilities of label imperfections and BLADH, K. [NASA-TM-76234] P0225 N80-31857 A color plotter system and its applications in correction of mislabels geoscience p02O9 A80-49099 [E8CM02881 p0218 N80-30856 BLAINE. L R. Utilization of spectral-spatial information in the Ocean chlorophyll studies from 3 U-2 aircraft platform classification of imagery data p0195 A80-45004 [E80-10321J p0222 N80-33832 CABRIERES, B. CHOPPE. V. BLANKINSHIP, P. Raduga experiment: Multizonal photographing the Earth The Gulf Stream Meanders experiment: Current meter, The SPOT/ Landsat image ground station - Image preprocessing p0210 A80-50906 from the Soyuz-22 spacecraft atmospheric, and sea level data report for the mooring CALABRESE, M. A. (NASA-TM-76234] p0225 N80-31857 period CHOUDHUHY, A. M. [AD-A088069] p0199 N80-33077 A review of future remote sensing satellite capabilities p0174 A80-49139 Study of floods in Bangladesh and India with the help BLAZQUEZ, C. H. CAPPELLINI, V. of meteorological satellites p0204 A80-51306 Aerial color infrared photography applications to CIHLAR, J. citriculture p0175 A80-51944 Application of high efficiency data compression and 2-D digital filtering techniques to remote sensing data Soil water and plant canopy effects on remotely measured BO-LINN. C. processing p0209 A80-47749 surface temperatures p0173 A80-47748 Final design specification for EOD-LARSYS/statistics and CLARK. B. V. data transformation processors modification CARNEY. J. J. Development and evaluation of scatteiometet data [E80-10173] P0213 N80-28774 Project development plan for the LANDSAT Imagery processing algorithms Verification and Extraction System (LIVES) Design specification for EOD-LAflSYS/statistics and data [E80-10266] p0216 N80-29813 [E80-10238] p0216 N80-29807 transformation processors modification CLARK. D. K. [E80-10177] P0213 N80-28778 Test plan for the LANDSAT Imagery Verification and Nimbus-7 coastal zone color scanner - System description Extraction System (LIVES) Final design specification for ERlPS fields data base deck and initial imagery p0197 A80-51490 [E80-10239] 0216 N80-29808 conversion P Phytoplankton pigments from the Nimbus-7 Coastal Zone [E80-10179I P0213 N80-28780 CARTER, B. D. Color Scanner - Comparisons with surface measurements Application of remote sensing to state and regional BODECHTEL. J p0197 A80-51491 problems Application of Landsat-2 data for obtaining land COATES, R. information p0191 A80-51092 [E80-10338] P0183 N80-32826 NASA geodetic applications of the Mark 3 VLB! CARTER, W. D. system p0186 N80-28841 BOLSHAKOV, V. D. Remote sensing and mineral exploration; Proceedings COHEN, R. L A photogram metric method of processing space The Gulf Stream Meanders experiment: Current meter, photographs p0185 A80-46967 of the Workshop. Bangalore, India. May 29-June 9. 1979 p0189 A80-51076 atmospheric, and sea level data report for the mooring Results of the complex processing of photographs taken period from the Salvut space stations p0212 A80-53004 Characteristics of the Landsat system and data for geologic applications - Availability of data [AD-A088069] p0199 N80-33077 BONNER, J. p0190 A80-51078 COLLEN. F. US Geological Survey sources of photographs and images CASSINIS, R. As-built design specification for Boundary Detection And of biosphere reserves taken from spacecraft and aircraft. Registration Program (BDARPt} Study of geological structure of Sicily and other Italian San Joaquin Experimental Range areas [E80-10217] p0215 N80-29794 [PB80-169295] p0192 N80-28852 [E80-10299] p0192 (M80-30866 As-built design specification for Boundary Detection And Registration Program (BDARP1) BORISENKO. V. I. CASSIRAME, P. A description of a system of programs for mathematically [E80-10216] p0217 N80-30824 Information extraction from a Landsat image contained processing on unified series (YeS) computers photographic COLLIER. O. within an artificial outline p0210 A80-50889 images of the Earth taken from spacecraft Image transformation study [NASA-TM-76208] p0220 N80-31856 CAZAUX. J. C. [AD-A086070J p0216 N80-29828 The SPOT/Landsat image ground station - Image BORISOV, O. M. COLLINS, W. Experiment with the composition of a geological map preprocessing p0210 A80-50906 Detection of hidden mineral deposits by airborne spectral on the basis of interpretations of Meteor satellite television CHAGARLAMUDI. P. analysis of forest canopies images /using Central Asia as an example/ An automatic method of discriminating rock outcrops IPB80-193881] p0193 N80-32845 p0211 A80-52054 using Landsat data p0191 A80-51094 COLWELL R. N. Irrigated lands assessment for water management BOWEN. A. J., JR. Quantitative monitoring of sediment levels in freshwater High Density Tape Reformatting System/ LA NO SAT lakes from Landsat p0203 A80-51291 Applications Pilot Test (APT) imagery verification and Extraction System (HDTRS/LIVES) CHAKRABORTY, A. K. [E80-10324] p0178 N80-32815 Application of remote sensing to selected problems within throughput analysis Study of Kosi river characteristics using airborne/space [E80-10248] p0217 N80-30831 orbital multispectral scanner data p0204 A80-51302 the state of California CHAKRAVARTI, S. [E80-10326] p0183 N80-32817 High Density Tape Reformatting System/LANDSAT Development of Al procedures for deal ing with the effects Imagery Verification and Extraction System (HDTRS/LIVES) Interfacing with SEO technology - A case study in geological application p0190 A80-51086 of episodal events on crop temporal spectral response and production test throughput analysis development of Al guidelines for corn and soybean [E80-10319] p0221 N80-3281 1 CHAN, W. H. Airborne sulfur dioxide to sulfate oxidation studies of labeling Operation plan for the High Density Tape/LANDSAT (E80-10327J p0178 N80-32818 Imagery Verification and Extraction System (HOT/LIVES) the INCO 381M chimney plume p0182 A80-53269 CHANCE. J. E. CONEOERA. C. data processing support Light reflectance, transmittance. and utilization within a Perspectives of remote sensing applications to the study [E80-10322] P0221 N80-32813 vegetative canopy of hydric balance in the EEC countries and to the global BOWEN. R. L [E80-10282] p0177 N80-30851 evaluation of ground water resources p0204 A80-51305 Using 70-rnm aerial photography to identify rangeland CHANG, S. H. CONEL J. E. sites p0175 A80-53056 Detection of hidden mineral deposits by airborne spectral Uranium - Spectral discrimination of alteration BOZET, M. analysis of forest canopies phenomena in sediments p0189 A80-49524 Spatial filtering of Landsat data for urban cartography [PB80-193881] P0193 N80-32845 CONTI. D. K. p0185 A80-50892 CHANSARKAR. R. A. Segmentation-based boundary modeling for natural BROOKS, D. A. Terrain analysis and hydrogeologic interpretations from terrain scenes p0209 A80-44297 The Gulf Stream Meanders experiment: Current meter, satellite imagery p0202 A80-51285 COOK. D. atmospheric, and sea level data report for the mooring CHE, S. C. As-built design specification for the Yield Estimation period Utilization of LANDSAT data to inventory the sugar cane Subsystem (YES) monthly yield data base and supporting [AD-A088069] p0199 N80-33077 in the state of Sao Paulo programs BROWN. R. J. 1E80-10261] p0177 N80-30844 IE80-10218] p0215 N80-29795 Remote sensing of the ocean: Physical, chemical, and CHEN. D. T. COTTRELL O. A. geologic properties Citations from the NTIS data base On the inference of oceanic currents or eddies by Planning and execution of a photographic mission over [PB80-811235] P0198 N80-30884 spaceborne altimetry through the dynamic method for the a wheat producing region in Rio Grande do Sul. Brazil Remote sensing of the ocean: Dynamics. Citations from determination of three dimensional density (temperature) [INPE-1793-RPE/ 165] pOl 79 N80-32833 field the NTIS data base CRAIGHEAD, J. J. [PB80-811243] P0199 N80-30885 [AD-A088082] p0199 N80-33076 CHEN. Y. H. Grizzly bear habitat analysis. Section 3: LAND SAT-1 BROWN. W. E., JR. A hill-sliding strategy for initialization of Gaussian clusters multispectral imagery and computer analysis of grizzly bear Synthetic aperture radar imaging of ocean waves - in the multidimensional space habitat Comparison with wave measurements [NASA-CR-163382] p0177 N80-30867 p0196 A80-51411 [NASA-TM-80721] p0219 N80-31072 CHESNOKOV. Y. CRAPPER, P. F. BRUCKS, J. T. Raduga experiment: Multizonal photographing the Earth Errors incurred in estimating an area of uniform land Comparison of surface wind stress measurements - from the Soyuz-22 spacecraft cover using Landsat p0175 A80-53052 Airborne radar scatterometer versus sonic anemometer (NASA-TM-76234] p0225 N80-31857 CRIST, E. P. p0196 A80-51407 CHEVREU M. An algorithm for estimating crop calendar shifts of spring BRUTON. J. E. The United States space observation policy small grains using LANDSAT spectral data Nonzero subsurface irradiance reflectance at 670 nm from [NASA-TM-76373] p0228 N80-33425 [E80-10314] p0178 N80-32809 Lake Ontario water masses p0201 A80-45428 CHHIKARA. R. S. CROMBIE. M. A. BUKATA. R. P. A statistical test procedure lor detecting multiple outliers Errors in automatic pass point mensuration using digital Nonzero subsurface irradiance reflectance at 670 nm from in a data set techniques Lake Ontario water masses pO201 A80-45428 [E80-J0195] p0214 N80-28792 [AD-A087443] p0220 N80-31859 B 2 PERSONAL AUTHOR INDEX FERGUSON, H. L

CROSBY. F. L User's guide: Large Area Crop Inventory Experiment A continuation of base-line studies for environmentally Satellite temperature monitoring and prediction system (LACIE) phase 3 PDP 11/45 automatic status and tracking monitoring Space Transportation Systems (STS) at John p0211 A80-51943 system F. Kennedy Space Center. Volume 4: Threatened and CURFMAN. H. J. [E8CM0194] p0214 N80-28791 endangered species of the Kennedy Space Center. Part Assessment of the rote of remote sensing in the study Detailed design specification for the automatic status 2: Threatened and endangered birds and other threatened of inland and coastal waters and tracking system modifications for LACIE procedure 1 and endangered forms (NASA-TM-81881) p0200 N80-34048 (£80-10243) P0217 N80-30826 [NASA-CR-163122-VOL-4-PT-2] p0183 N80-31970 Implementation specification for targe Area Crop EL-SAVED, S. Z. Inventory Experiment (LACIE) phase 3 automatic status Nimbus-7 coastal zone color scanner- System description and tracking system and initial imagery pOl97 A80-51490 [E80-10249] P0217 N80-30832 ELACHI. C. User's guide Large Area Crop Inventory Experiment Spaceborne imaging radar - Geologic andoceanographic DAVENPORT. R. (LACIE) phase 3 PDP 11/45 automatic status and tracking applications p0223 A80-47480 User's guide for the Yield Estimation Subsystem Data system ELGIN. J. H., JR. Management System (YESDAMS) [EBO-10256] p0217 N80-30839 (E80-10276) p02l8 N80-30849 Remote sensing of total dry-matter accumulation in DEVICH. R. winter wheat DAVENPORT. R. L Image transformation study [E80-10235] P0176 N80-29804 Detailed design specification for the Yield Estimation [AD-A086070] p0216 N80-29828 EMERY. W. J. Subsystem Data Management System (YESDAMS) DHANJU. M. S. Dynamical imerpietation of satellite-sensed thetmal [E80-10180) P0213 N80-28781 Floodplains mapping of Gangetic basin using Landsat features off Vancouver Island P0l95 A80-46315 Operational changes for the Kansas State University imagery p0204 A80-51303 ERNSBERGER. K. wheat model Conceptual study of a European remote sensing satellite (E80-10223] p0176 N80-29797 DISLER. J. M. Maximal analysis labeling procedure (preliminary) with combined optical and microwave payload DEALBUQUERQUE. P. C G. [E80-10294] 0219 N80-30862 [BMFT-FB-W-79-18] p0224 N80-29407 Planning and execution of a photographic mission over P ESTES, J. E. a wheat producing region in Rio Grande do Sul. Brazil DOME, G. J. Landsat detection of oil from natural seeps [INPE-1793-RPE/165] p0179 N80-32833 Radar backscatter study of sea ice (AD-A087032) p0198 N80-30618 P0197 A80-53054 DECARVALHO, V. C. DOOFILHO. E. Use of collateral information to improve LANDSAT Characterization of Cenado vegetation using classification accuracies Automatically classified LANDSAT MSS data Classification of multispectral images according to crosswise textural characteristics [E80-10268] P0176 N80-29815 (INPE-1790-RPE/162) p0179 N80-32835 Irrigated lands assessment for water management (E80-10257) P0218 N80-30840 DEERING. D. W. Applications Pilot Test (APT) DORNEU, L D. Using LANDSAT digital data for estimating green [E80-10324] pOl78 N80-32815 As-built design for enhancement of the automatic status bio mass Application of remote sensing to selected problems within and tracking system software (E80-10328) p0178 N80-32819 the state of California IE80-10197] D0214 N80-28794 OEFEO. W. E. [E80-10326] pOl83 N80-32817 Remote sensing of NO using a differential absorption DOS SANTOS, J. H. EVANS. R. H. lidar p0182 A80-52332 Characterization of Cerrado vegetation using Satellite remote sensing facility for oceanograhic automatically classified LANDSAT MSS data DEJESUSPARADA. N. applications [INPE-1790-RPE/162] p0179 N80-32835 Classification of multispectral images -according to INASA-CR-163363] p0197 N80-28847 Crosswise textural characteristics DOSANJOS. C. E. EVANS, W. H. Remote sensing applied to the prospecting of geothermal [E80-10257] P0218 N80-30840 Polar nephelometer for atmospheric paniculate studies anomaly in Caldas Novas County. State of Goias. Brazil Evaluating the reforested area for the municipality of Buri P0182 A80-52346 [INPE- 1792-RPE/ 164] 0193 N80-32837 t>y automatic analysis of LANDSAT imagery P EVERETT, J. R. [E8CM0258] p0176 N80-30841 DOSSANTOS. A. P. Remote sensing for tunnel siting studies The use of LANDSAT data for evaluation and 0189 A80-48975 Study of the atmospheric effects on the radiation detected P characterization of deforested pastureland and reforested EVERETTE, J. M. by the sensor aboard orbiting platforms areas in Brazil As-built design specification for LACIE phase 3 automatic (ERTS/LANDSAT) [INPE-1794-RPE/ 166] p0179 N80-32836 status and tracking system [E80-10259] p0218 N80-30842 [E80-10175] p0213 N80-28776 Use of LANDSAT data for estimating the area of sugar OOTU, H. Spatial filtering of Landsat data for urban cartography Functional design specification for enhancement of the cane in the state of Sao Paulo 0185 A80-50892 automatic status and tracking system software [E80-10260] p0177 N80-30843 P DUARTE. V. [EBO-10190] p0214 N80-28788 Utilization of LANDSAT data to inventory the sugar cane The use of LANDSAT data for evaluation and Preliminary design specification for the LANDSAT in the state of Sao Paulo characterization of deforested pastureland and reforested Imagery Verification and Extraction System (LIVES) [E80-10261] p0177 N80-30844 areas in Brazil [E80-10240] p0216 N80-29809 Collection, processing, and distribution of remote sensing [INPE-1794-RPE/166] p0179 N80-32836 Detailed design specification for the automatic status data from Brazilian Receiving Station and tracking system modifications for LACIE procedure 1 DUNAYEV. B. [INPE-1784-RPE/156] 0221 N80-32832 (E80-10243] p0217 N80-30826 P Raduga experiment: Multizonal photographing the Earth Detail design specification for enhancement of the DELKER, C. V. from the Soyuz-22 spacecraft automatic status and tracking system software Radar backscatter study of sea ice [NASA-TM-76234] p0225 N80-31857 [AD-A087032] p0198 NBO-30618 (£80-10254) p02l7 N80-30837 DUTRA, L V. D. DEMEDEIROS. J. S. EVERITT. J. H. A method for edge detection in images of natural Using 70-mm aerial photography to identify rangeland The use of LANDSAT data for evaluation and resources characterization of deforested pastureland and reforested sites pO!75 A80-53056 [INPE-1768-RPE/154) P0222 N80-33840 areas in Brazil [INPE-1794-RPE/166] p0179 N80-32836 DEMIRANDA, L B Coastal currents: Study of a model applied to the coast of Rio Grande do Sul latitude 29 deg south to 35 deg FABIUNKE. K. H. south EASTWOOD. L F.. JR. Conceptual study of a European remote sensing satellite [INPE-1841 -RPE/201) p0200 N80-33844 Program on stimulating operational private sector use with combined optical and microwave payload DEMORAESNOVO. E. M. L of Earth observation satellite data [BMFT-FB-W-79-18] p0224 N80-29407 The use of LANDSAT data for evaluation and [E80-10233] p0227 N80-29802 FAINTICH, M. B. characterization of deforested pastureland and reforested ECKARD, L D. Digital image technology 1980: Emerging production areas in Brazil Magsat - A new satellite to survey the earth's magnetic applications [INPE-1794-RPE/166] p0179 N80-32836 field p0223 A80-51233 [AD-A085163] p0214 N80-28851 DENEGRE. J. FAVARD, J. C. Cartographic display of space information • The different ECKEL K. P. Automatic mapping of snow cover by means of Landsat Functional design specification for enhancement of the methods available at IGN p0210 A80-50879 - Application to the central Pyrenees p0185 A80-50888 automatic status and tracking system software DENNERT-MOLLER. E. FEDCHENKO. P. P. [E80-10190] 0214 N80-28788 Tidal land mapping from Landsat p0185 A80-50896 P Diurnal behavior of the spectral reflectivity of vegetation DENNIS. T. B. As-built design specification of the CAM/CAS interface and soils p0211 A80-52057 A labeling technology for LANDSAT imagery tape report generation program for LACIE 7 FEDOROV, K. N. [£80-10293} p0219 N80-30861 [E80-10203] p0214 N80-29782 The three-dimensional structure of the frontal zone of DEPARATESI. S. G. Preliminary design specification for the LANDSAT the Gulf Stream from synchronous satellite and ship data HCMM satellite follow-on investigation no. 025: Soil Imagery Verification and Extraction System (LIVES) p0196 A80-49651 moisture and heat budget evaluation in selected European iEBD-10240) p0216 N80-29809 FEDORS. J. C. zones of agricultural and environmental interest (TELLUS Detail design specification for enhancement of the Microwave radiometric aircraft observations of the Project) automatic status and tracking system software Fabry-Perot interference fringes of an ice-water system [£80-10332] p0178 N8D-32823 [E80-10254] p0217 N80-30837 p0195 A80-44232 DESANTANA, C. C. As-built design specification of the CAMS/CAS interface FEIVESON. A. H. The use of LANDSAT data for evaluation and tape report generation program for LACIE 8 A statistical test procedure for detecting multiple outliers characterization of deforested pastureland and reforested [E80-10306] p0219 N80-30872 in a data set areas in Brazil [E80 10195) pO214 N80-28792 [INPE-1794-RPE/166] p0179 N80-32836 ECKHARDT, W. O. Statistical Outlier Detection (SOD): A computer program DEUTSCH. M. Segmentation-based boundary modeling for natural for detecting outliers in data Applications to floods of remote sensing from satellites terrain scenes pO209 A80-44297 [E80-10275] P0218 N80-30848 p02O4 A80-5130O EHRHART. L M. FELLOWS, J. D. Landsat detection of oil from natural seeps A continuation of base-line studies for environmentally Computer-aided watershed analyses using remote pO197 A80-53054 monitoring Space Transportation Systems tSTS) at John sensing based regional information systems DEVALCOURT. C. C. F. Kennedy Space Center. Volume 4: Threatened and p0204 A80-51299 As-built design specification for LAC1E phase 3 automatic endangered species of the Kennedy Space Center. Pan FERGUSON. H. L status and tracking system 1: Marine turtle studies Applications to floods of remote sensing from satellites [E80 10175) p0213 N80-28776 INASA-CR 163122-VOL-4-PT-1) pOI83 N80-31969 pO204 A80-51300 B-3 FEYERHERM. A. PERSONAL AUTHOR INDEX

FEYERHERM. A. GERBERMANN, A. H. GREGORY. G. L Use of soil moisture information in yield models Using 70-mm aerial photography to identify rangeland In situ ozone data for evaluation of the laser absorption IE80-10302] p0177 N80-30869 sites p0175 A80-53056 spectrometer ozone remote sensor: 1979 southeastern FIELDER. G. GERMAN. A. I. Virginia urban ptume study summer field program Satellite monitoring of sea surface pollution Laser studies of the atmosphere and underlying surface [NASA-TM-81831] p0183 N80-33928 (£80-10329) p0199 N80-32820 p0182 A80-53131 GRUSHIN. V. A. FILHO. P. H. Allowance for light scattering in the atmosphere in the Evaluating the reforested area for the municipality of Buri GIDDINGS. L E. processing of space photographs of the earth's surface by automatic analysis of LANDSAT imagery As-built design specification for the CAMS image-100 p0210 A80-49658 hybrid system. Volume 1: System design [E80-10258] p0176 N80-30841 GUHA. P. K. [E80-10207] p0215 N80-29786 . Interfacing with SEO technology - A case study in The use of LANDSAT data for evaluation and As-built design specification for the CAMS image-100 geological application p0190 A80-51086 characterization of deforested pastureland and reforested hybrid system. Volume 2: Detailed flow charts and program GUILL.J H. areas in Brazil listings Sensing the ocean environment from space [INPE-1794-RPE/I66] p0179 N80-32836 [E80-10208] p0215 N80-29787 p0196 A80-S1485 FIUMONOV. V. S. Classification with spectral-spatial-temporal archetypes GUPTA. P. N. Optical methods for the study of biocenoses on land [E80-10251] P0217 N80-30834 Satellite imagery and U.P. Himalayas and Siwalik and sea p0201 A80-49656 P0204 A80-51304 FLOUZAT, G. As-built design specification for the CMAS image-100 GURNEY. C. M. Information extraction from a Landsat image contained hybrid system. Volume 2: Detailed flow charts and program The detection of linear features using Landsat data within an artificial outline p0210 A80-50889 listings, part 1 p0210 A80-51013 FONTANEL A. [E80-10289] p0218 N80-30857 Landsat imagery in oil exploration • Six years of As-built design specification for the CAMS image-100 experience p0189 A80-50880 hybrid system. Volume 3: Utilities and shared H FORSYTHE. R. t. subroutines [E80-10290] p0218 N80-30858 A 94/183 GHz multichannel radiometer for Convair HAAS. R. H. flights GIFFORD. f. A. Using LANDSAT digital data for estimating green (NASA-CR-160032) P0225 N80-33047 Smoke as a quantitative atmospheric diffusion tracer biomass FOSHAGE. J. p0182 A80-53265 [E80-10328] p0178 N80-32819 Program on stimulating operational private sector use GILG, W. HABEUG. W.. JR. of Earth observation satellite data Conceptual study of a European remote sensing satellite Aerotriangulation control of large scale photography from • [E80-10233] P0227 N80-29802 with combined optical and microwave payload small scale photography FOUNTAIN. G. H. [BMFT-FB-W-79-18] p0224 N80-29407 [PB80-161524] p0224 N80-28853 Magsat - A new satellite to survey the earth's magnetic GILLES-LAGRANGE. T. HABERACKER. P. field P0223 A80-51233 Information extraction from a Landsat image contained Evaluation of Landsat image data for the extraction of FOURNIER. P. within an artificial outline p0210 A80-5O889 land use information and its presentation in thematic A study of the needs of French government agencies in GIORDANO. G. maps p0185 A80-S0902 remote sensing mapping p0181 A80-50882 Information extraction from a Landsat image contained HAKURA. Y. FRANK, N. A. within an artificial outline p0210 A80-50889 Activities and future plan of earth observation by Optical methods for the study of biocenoses on land GIRARD. M. C. satellites p0223 A80-53094 and sea P0201 A80-49656 FRAYSSE. G. The use of satellite imagery for mapping - The study of HALL D. K. Use of LANDSAT data for river and lake ice engineering Perspectives of remote sensing applications to the study soil moisture p0175 A80-50903 of hydric balance in the EEC countries and to the global GUATON. B. studies [E80-10237] p0205 N80-29806 evaluation of ground water resources p0204 A80-51305 Image transformation study FREEMAN. D. [AD-A086070] p0216 N80-29828 HALL T. S. Forest resource information system, phase 3 GLUSHKO. E. V. Satellite monitoring of sea surface pollution [E80-10242] p0176 N80-30825 Experiment aimed at standardizing anthropogenic [E80-10329] p0199 N80-32820 FRIEDMAN. S. Z. changes of the natural environment from satellite and aerial HALLUM. C. R. Mapping urbanized area expansion through digital image photographs p0211 A80-52056 A'discriminant approach to parameter estimation in the processing of LANDSAT and conventional data GOETTELMAN. R. C. linear model with unknown variance-covariance matrix (E80-10192) p0214 N80-28789 [E80-10301] P0182 N80-30868 Infrared-temperature variability in a large agricultural FRYER. R. J. field HANDLEY. J F. Satellite monitoring of sea surface pollution [E80-10331) pOI78 N80-32822 The application of remote sensing to environmental [E80-10329] P0199 N80-32820 GOMEZ. G. management pOISI A80-47750 Program on stimulating operational private sector use HANKS. J. of Earth observation satellite data Use of soil moisture information in yield models [E80-10233] p0227 N80-29802 [E80-10302] p0177 N80-30869 GONFREVILLE. P. HANSEN. M. Z. GAGUANO. J. A. A study of the needs of French government agencies in Polar nephelometer for atmospheric particulate studies A 94/183 GHz multichannel radiometer for Convair remote sensing mapping pOISI A80-50882 P0182 A80-52346 flights GOPALAKRISHNAN. K. P. HANSEN. R. F. [NASA-CR-160032] p0225 N80-33047 Geological ground-truths and Landsat imagery Detailed design specification for the Yield Estimation GALVAO. B. D. M. C. interpretation for parts of Karnataka State /India/ Subsystem Data Management System {YESDAMS) Platform antennas for data collection P0190A8 0-51080 [E80-10180] P0213 N80-28781 [INPE-1820-RPE/1861 p0221 N80-33647 GOR. J. As-built design specification for CCIT8 processor GARDNER. C. T. As-built design specification for LACIE formatted dot program As-built design specification for EOD-LARSYS procedure cards in EOD-LARSYS [E80-I0323] p0221 N80-32814 1 IE80-10169] p0212 N80-28770 HARFORD. J. J. (E80-10174] P0213 N80-28775 Program documentation: Final design specification for China space report /Based on observations made during As-built design specification for Production Film dot data base update deck conversion program (DOTDEC) an invited tour with an AIAA delegation, November Converter Gains And Biases program (PFCGAB) [E80-10178] p0213 N80-28779 1979/ p0227 A80-53350 [E80-10184] p0213 N80-28785 Design specification for dot data base update deck HARRINGTON. R. Design specification for LARSYS procedure 1 conversion program (DOTDEC} The development of a stepped frequency microwave [EBO-10199] p0214 N80-28796 [E80-10183] p0213 N80-28784 radiometer and its application to remote sensing of the User documentation EOD-LARSYS Earth Observations GOR. J. S. Earth p0224 N80-30822 Division version of the Laboratory for Applications of Remote Program documentation: As-built design specification HARRINGTON. R. f. sensing system for Generalized Linear Model Analysis Of Variance program Microwave radiometric aircraft observations of the [E80-10188] p0214 N80-29780 (GLMAOVI Fabry-Perot interference fringes of an ice-water system Design specification for ERIPS fields data base deck [E80-10214] p0215 N80-29792 p0195 A80-44232 conversion Design specification for LACIE formatted dot cards in The development of a stepped frequency microwave [E80-10286] p0218 N80-30854 EOD-LARSYS radiometer and its application to remote sensing of the GARDOSSI. F. [E80-10215] p0215 N80-29793 Earth Sensors for remote sensing GORDON. H. R. [NASA-TM-81847] p0224 N80-28637 (CISE-N-190J p0225 N80-31863 Nimbus-7 coastal zone color scanner - System description HARRISON. C. G. A. GARELIK. I. S. and initial imagery p0197 A80-51490 Investigations of medium wavelength magnetic Invariant photometric features of natural objects Phytoplankton pigments from the Nimbus-7 Coastal Zone anomalies in the eastern Pacific using Magsat data p0211 A80-52058 Color Scanner - Comparisons with surface measurements (E80-10334] p0199 N80-33833 GARZA ROBLES. R. p0197 A80-51491 HART. W. D. On extracting brightness temperature maps from GOROKHOV. V. N. Ocean chlorophyll studies from a U-2 aircraft platform scanning radiometer data A description of a system of programs for mathematically p0195 A80-45004 [NASA-TM-81989] p0221 NBO-32838 processing on unified series (YeS) computers photographic HAYDN. R. GATES. W. A. images of the Earth taken from spacecraft Application of Landsat-2 data for obtaining land Monitoring the use of riverways with aerial photography: INASA-TM-76208] p0220 N80-31856 information p019t A80-51092 The development, testing, and evaluation of a computer GOSSMANN. H. HAYNE. G. S. assisted methodology The influence of topographic structures on night-time Radar altimeter mean return waveforms from IAD-A086471] p0182 N80-30877 surface temperatures: Evaluation of a satellite thermal near-normal-incidence ocean surface scattering GATHMAN. S. G. image of the upper Rhine plain and the surrounding P0224 A80-53891 Passive 19.3 GHz radiometer and aerosol data from the highlands Wallops waveform analysis of SEASAT-1 radar altimeter North Sea during MARSEN I. September - October 1979 [E80-10228] P0179 N80-33829 data [AD-AO88229J p0199 N80-33068 GOVINDARAJAN. S. T. (NASA CR-156869] p0198 N80-29637 GEDNEY. R. T. Evaluation of hydrogeologic conditions in Ponnaiyar River HECKY. R. E. Quantitative interpretation of Great Lakes remote sensing basin. South India using remotely sensed data Quantitative monitoring of sediment levels in freshwater data D0201 A80-45O05 p0203 A80-51288 lakes from Landsat p0203 A80-51291 B-4 PERSONAL AUTHOR INDEX KIRKPATRICK, B.

HEILMAN. J. L HUSTEpDE. G. S. JUSTICE, C. O. HCMM energy budget data as a model input for assessing Additions and corrections to the bibliography of geologic Unsupervised classification of MSS Landsat data for regions of high potential groundwater pollution studies. Columbia Plateau (Columbia River Basalt) and mapping spatially complex vegetation pO173 A80-47744 (E80-10310J pO206 N80-32806 adjacent areas, in Idaho. 1980 The potential of Landsat-3 RBV images for thematic HEIMES. F. J, [RHO-BWI-C-68) p0192 N80-32013 mapping p0210 A80-50894 Development and application of Landsat-derived HUTCHINSON. C. F. irrigation cropland maps for water use determination in Applied Remote Sensing Program (ARSP) the High Plains p0175 A80-49144 (£80-10330) p0178 N80-32821 K HENDERSON, F. M. HUYGEN, J. Effects of radar system parameters, population, and Further developments of the TELL-US model. 1: An environmental modulation on settlement visibility implicit finite difference scheme for the numerical KAHLE. A. B. pOISI A80-47746 approximation of the ground heat flux. 2: A simple Geologic application of thermal inertia imaging using algorithm for estimating the actual and potential HCMM data HIGGS. G. K. evapotranspiration of vegetated surfaces from one remotely [E80-10229] p0192 N80-29798 Application of remote sensing to state and regional sensed surface temperature near the daily maximum problems Geologic application of thermal inertia imaging using [E80-10333] p0178 N80-32B24 JE80-10338] p0183 N80-32826 HCMM data (E80-10231) P0192 N80-2980O HOFER, R. Microwavd emission properties of snow for monitoring KAHN. A. hydrological parameters p0203 A80-51297 Digital LANDSAT data analysts of Tennessee [E8GM0130] P0212 N80-28768 HOFFMAN. R. O. IANSHIN. A. L Identifying and locating land irrigated by center-pivot KAMAT. O. S. New data on the geological structure of the irrigation systems using satellite imagery Status and plans of SEO satellite and receiving station Verkhoiany-Kolyma fold region from an analysis of satellite pO174 A80-49140 p0190 A80-S1079 TV images p0211 A80-52051 Indian remote sensing satellite program and its HOGE, F. E. IAROSLAVSKII, L P. Oil film thickness measurement using airborne contribution to water resources management Automatic selection of reference objects for comparing p0204 A80-51307 laser-induced water Raman backscatter aerial and satellite photographs p0212 A80-52063 KANEMASU. E. p0197 A80-52331 INMAN. O. L Use of soil moisture information in yield models HOLBEN. B. Comparisons between wave directional spectra from SAR (E80-10302) P0177 N80-30869 The contribution of the diffuse light component to the and pressure sensor arrays p0196 A80-51409 KAPLAN. B. L topographic effect on remotely sensed data INSTALLE. M. Optimal conditions for determining the coordinates of [NASA-TM-80728] oQ186 N80-30876 Spatial filtering of Landsat data for urban cartography the earth's center of mass p0166 A80-54021 HOLBEN, B. N. p0185 A80-50892 KATSKOV. N. K. Remote sensing of total dry-matter accumulation in IOASKHIM, R. Measurement results and conclusions on the spectral winter wheat Raduga experiment: Multizonal photographing the Earth reflective coefficients of volcanites. granitoides and [£80-10235| p0176 N80-29804 from the Soyuz-22 spacecraft gneisses pO!91 A80-51093 HOLLEY, W. A. INASA-TM-76234] P0225 N80-31857 KATUCKI. R. J. As-built design specification of the CAMS/ CAS interface IOVCHEV. S. R. Landsat-D • Overview and implications tape report generation program for LACIE 6A Measurement results and conclusions on the spectral P0224 A80-53609 [E80-101961 P0214 N80-28793 reflective coefficients of volcanites. granitoides and KEEGAN. T. J. As-built design specification of the CAMS/CAS interface gneisses p0191 A80-51093 Development of techniques to specify cloudiness and tape report generation program ISTOMINA, L G. [E80-10204] pO215 N80-29783 rainfall rate using GOES imagery data Estimates of the accuracy of the brightness conjunction [AD-A084757] p0206 N80-33064 HOLYER, R. J. of multispectral photographs p0210 A80-49665 KEENER. M. M ultispectral techniques for remote monitoring of ITTEN. K. I. Use of soil moisture information in yield models sediment in water: A feasibility investigation Snow mapping from space platforms [E80-10302] p0177 N80-30869 [PB80-198500] p0207 N80-33849 p0203 A80-51293 KELL. T. R. HORN, F. W., JR. IUROV. V. I. As-built design specification for the 1-100 tape read Aerial color infrared photography applications to Distortion of satellite photographs obtained by scanning consolidation program (FLJLOI) crtriculture p0175 A80-51944 systems p0212 A80-52065 IE80-10171] P0213 N80-28772 HOROWITZ. R. The geometric calibration of multispectral photographic KENT. S. 8. Report on active and planned spacecraft and equipment p0186 A80-54O24 Satellite remote sensing facility for oceanograhic experiments IVANOV. A. V. applications INASA-TM-80905] p0227 N80-31420 The problems of SAR imagery of ocean waves [NASA-CR-163363] P0197 N80-28847 HORTON, C. p0196 A80-50300 KHVOROSTOVA. Z. M. As-built design specification for CLASY program New data on the geological structure of the modification Verkhoiany-Kolyma fold region from an analysis of satellite (E80-I0253] p0217 N80-30836 TV images p0211 A80-52051 As-built specification for CLASSY conversion KIANG. R. (E80-10307) p0219 N80-30873 Thematic mapper studies band correlation analysis HORTON. C. L JAIN, S. C. INASA-TM-807161 p0216 N80-29825 Design specification for a list processing system Nonzero subsurface trradiance reflectance at 670 nm from KIENXO. IU. [E80-10265] p021G N80-29812 Lake Ontario water masses p0201 A80-45428 Earth observation from space today and tomorrow P0227 A80-50280 Statistical Outlier Detection (SOD): A computer program JAMAGNE. M. KILIAN, J. for detecting outliers in data Inventory, mapping and evaluation of the agricultural Inventory, mapping and evaluation of the agricultural [EBO-10275] p0218 N80-30848 potential of soils - Status of studies and needs of remote sensing p0175 A80-50877 potential of soils - Status of studies and needs of remote As-built design specification for equiprobability ellipses sensing p0175 A80-50877 JASKOLLA, F. representation of CLASSY clusters KILUNQEB. O. K. Application of Landsat-2 data for obtaining land (£80-10320] p0221 N80-32812 Remote sensing of NO using a differential absorption information p0191 A8 0-5109 2 As-built design specification for a list processing lidar p0182 A80-S2332 JERN. M. system KIM. H. H. (£80-10325) p0221 N80-32816 A color plotter system "and its applications in Ocean chlorophyll studies from a U-2 aircraft platform HOVIS, W. A. geoscience p0209 A80-49O99 P0195 A80-450O4 Nimbus-7 coastal zone color scanner • System description JEROME. J. H. KIM. S. T. and initial imagery p0197 A80-51490 Nonzero subsurface irradiance reflectance at 670 nm from A quantitative evaluation of LANDSAT for monitoring Phytoplankton pigments from the Nimbus-7 Coastal Zone Lake Ontario water masses p0201 A80-4542B suspended sediments in a fluvial channel Color Scanner - Comparisons with surface measurements JEUN, B. P0206 N80-33823 p0197 A80-51491 As-built design specification for historical dairy data bases KIMES. D. S. HOWARD. T. W. for testing advanced models Simulation of solar radiation absorption in vegetation Application of thematic mapping techniques in terrain [E80-10198) p02l4 N80-28795 canopies D0173 A80-46451 analysis JOHNSON. C KINSLEH. M. C. (AD-A089061) p0222 N80-33847 Application of remote sensing to selected problems within Composition and assembly of a spectral data base for HSIAO, S. V. the state of California com and soybean multicrop segments Radar observations of wave transformations in the vicinity [E80-10326] P0183 N80-32817 [E80 10281] p0176 N80-29824 of islands p0196 A80-51408 JOHNSON. G. E. KIRCHHOF. W. Comparisons between wave directional spectra from SAR The Columbia River and Tributaries Irrigation Withdrawals Evaluation of Landsat image data for the extraction of and pressure Censor arrays pO196 A80-5^409 Analysis Project - Feasibility analysis and future plans land use information and its presentation in thematic Synthetic aperture radar imaging of ocean waves - p0174 A80-49141 maps p0185 A80-50902 Comparison with wave measurements KIREMIDJIAN. G. JOHNSON. J. D. pO196 A80-51411 Image transformation study Applied Remote Sensing Program (ARSP) HUBER, T. P. (AD.A086070) PO216 N80-29828 [E80-10330] p0178 N80-32821 A multi-step method for avalanche zone recognition and KIRILLOV. A. B. analysis pO193 N80-33824 JONES, W. L Experiment with the composition of a geological map HUNDEMANN. A. S. Comparison of surface wind stress measurements - on the basis of interpretations of Meteor satellite television Ocean wave sensing. Citations from the NTIS data Airborne radar scatterometer versus sonic anemometer images /using Central Asia as an example/ base p0196 A80-51407 pO211 A80-52054 (PB80-812878] pO20O N80-34053 JULIAN, B. G. KIRK. W. L HUNT. J. E. Passive 19.3 GHz radiometer and aerosol data from the Remote sensing procedures for detecting and monitoring Airborne sulfur dioxide to sulfate oxidation studies of North Sea during MARSEN I. September - October 1979 various activities regulated by the Mobile District the INCO 381M chimney plume pO182 A80-53269 [AD-A088229] pO199 N80-33068 [AD-A087584) pO206 N8O-31973 HUNTINGTON. J. F. JUSTICE. C. KIRKPATRICK. B. Remote sensing and mineral exploration: Proceedings The contribution of the diffuse light component to the Program on stimulating operational private sector use of the Workshop. Bangalore. India. May 29-June 9. 1979 topographic effect on remotely sensed data of Earth observation satellite data p0189 A80-51076 [NASA TM-60728] pO186 N8O-30876 [E80-10233] pO227 N80-29802 85 KISILIAKHOV, E. K. PERSONAL AUTHOR INDEX

KISILIAKHOV, E. K. Remote sensing research studies LUCHT. L A. M. Evaluation of the fire hazard of taiga forests from their (E80-10117) o0176 N80-30823 The use of radiation temperature to detect water-stress thermal radio emission p0175 A80-49652 LAPADO, R. in sugarcane crop K LEW AS, V, Image transformation study [INPE-1767-TDL/028) p0179 N80-33839 Remote sensing of coastal environment and resources [AD-A086070] p0216 N80-29828 Thermal balance of soils p0202 A80-51281 LARD EN, D. R. (INPE-1859-RPE/2101 P0180 N80-33841 KNOTT. W. M. Crustat deformation at very long baseline interferometry LUKASHEVICH, E. L The environmental program at Kennedy Space Center • sites due to seasonal air-mass and ground water Spacecraft trajectories for the remote sensing of the Baseline to monitoring pO181 A80-51935 variations p0186 N80-28809 earth p0223 A80-49662 KOELBL. O. R. LUMMAUX, J. C. LATHAM, A. R. The combined plotting of satellite photographs and aerial The use of topology concepts for supervised and Heat capacity mapping mission project HCM-051 photographs for topographic mapping p0185 A80-50895 unsupervised classifications p0210 A80-50891 [E80-10278] p0198 N80-30850 KOENIG, R. L LUSIS, M. A. LAVROVA, N. P. Anomalous snowfall caused by natural-draft cooling Airborne sulfur dioxide to sulfate oxidation studies of towers Results of the complex processing of photographs taken the INCO 381 M chimney plume pOl82 A80-53269 [RAND/N-1479-DOE] ' p0206 N80-32024 from the Salyut space stations p0212 A80-53004 LYON. R. J. P. KOLOSOV. B. I. LAVVLOR, O. Geological and geothermal data use investigations for A description of a system of programs for mathematically Use of soil moisture information in yield models application Explorer mission-A (heat capacity mapping processing on unified series (YeS) computers photographic [E80-10302] P0177 N80-30869 mission) images of the Earth taken from spacecraft LAWRENCE. M. W. [E80-10279] p0192 N80-29822 [NASA-TM-76208] p0220 N80-31856 Heat capacity mapping mission project H CM-051 KONDIURIN, V. D. [E80-10278] p0198 N80-30850 The use of space data for the mapping of coastal areas LAY, F. M p0185 A80-45297 Space taw - A new proposal p0227 A80-45575 KONDRATEV. K. IA. LECHEVALUER, M. MACDORAN. P. F. Diurnal behavior of the spectral reflectivity of vegetation Volcanic material from Mount St Helens in the Satellite Emission Radio Interferometric Earth Surveying and soils p0211 A80-52057 stratosphere over Europe p0182 A80-54074 (SERIES) p0186 N80-28838 KONIG. B. LECH I. G. MAETZLER, C. Program on stimulating operational private sector use Study of geological structure of Sicily and other Italian Microwave emission properties of snow for monitoring of Earth observation satellite data areas hydrological parameters p0203 A80-51297 [E80-10233] p0227 N80-29802 [E80-10299] p0192 N80-30866 MA LI LA, W. A. K OH WAR, V. N. An algorithm for estimating crop calendar shifts of spring Degradation of picture quality by speckle in coherent LEE. D. C. L Evaluating the reforested area for the municipality of Buri small grains using LANDSAT spectral data mapping systems p0217 N80-30821 (E80-10314] p0178 N80-32809 KOSCEC, B. by automatic analysis of LANDSAT imagery [E80-102581 p0176 N80-30841 MARCOLONGO, B. Some results of remote sensing in Yugoslavia Use of satellite imagery for the derivation of the 0191 A80-51091 Utilization of LANDSAT data to inventory the sugar cane P hydrogeologic characteristics of a test area in semiarid in the state of Sao Paulo KOVALENOK. V. V. climates p0202 A80-51284 [E80-10261] p0177 N80-30844 Geological analysis of the Urals-Oman superlineament Perspectives of remote sensing applications to the study from satellite imagery p0211 A80-52052 LEGECKIS, R. of hydric balance in the EEC countries and to the global KOZLOV. V. N. Modulation of sea surface radar cross section by surface evaluation of ground water resources p0204 A80-51305 Comparison of interpretations of radar images and space stress - Wind speed and temperature effects across the MARINI. A. photographs of a high degree of generalization on the Gulf Stream p0196 A80-51415 Study of geological structure of Sicily and other Italian example of the Zarkainarskii intrusive massif /southern LEHN. G areas Tien-Shan/ P0212 A80-52066 Conceptual study of a European remote sensing satellite [E80-10299] P0192 N80-30866 KOZLOV, V. V. with combined optical and microwave payload MARTIN, L Geological analysis of the Urals-Oman supertineament [BMFT-FB-W-79-18] p0224 N80-29407 Image transformation study from satellite imagery p0211 A80-52052 LEIGH, L S. [AD-A086070] P0216 N80-29828 KOZLOWSKI, C. Applied Remote Sensing Program (ARSP) Forest resource information system, phase 3 (E80-10330] p0178 N80-32821 MARTINKO, E. A. (E80-10242] P0176 N80-30825 The application of remote sensing to resource KRASNOPEVTSEVA, B. V. LEMASTER, E. W. management and environmental quality programs in Light reflectance, transmittance. and utilization within a Results of the complex processing of photographs taken Kansas _- vegetative canopy from the Salyut space stations p0212 A80-53004 1E80-10337) o0183 N80-32825 [E80-10282J p0177 N80-30851 KRAUTH, E. MARTSOLF, J. D. Evaluation of Landsat image data for the extraction of LEMING, T. O. Satellite temperature monitoring and prediction system land use information and its presentation in thematic Comparison of surface wind stress measurements - p0211 A80-S1943 Airborne radar scatterometer versus sonic anemometer maps p0185 A80-50902 MASCARENHAS, N. D. A. p0196 A80-51407 KRISHNAMURTY, J. G Classification of multispectral images according to Geological ground-truths and Landsat imagery LENEUF, N. crosswise textural characteristics interpretation for parts of Karnataka State /India/ Inventory, mapping and evaluation of the agricultural [E80-10257] p0218 N80-30840 potential of soils - Status of studies and needs of remote p0190 A80-51080 A method for edge detection in images of natural sensing p0175 A80-50877 KRISHNAMURTY. M. resources Tectonics and lineament patterns of the Vindhyan basin LENNINGTON. R. K. [INPE-1768-RPE/154] p0222 N80-33840 based on Landsat imagery data p0190 A80-51084 An exploratory study to develop a cluster-based area MATHIS, J. J.. JR. estimation procedure KRISHNANUNNI, K. In situ ozone data for evaluation of the laser absorption [E80-10295] p0177 N80-30863 Evaluation of MSS imagery over part of the spectrometer ozone remote sensor: 1979 southeastern asbestos-barytes belt of south-western Cuddapah basin. Evaluating the use of analyst labels in maximum likelihood Virginia urban plume study summer field program Andhra Pradesh. India p0191 A80-51089 cluster proportion estimation [NASA-TM-81831] p0183 N80-33928 [E80-10303] p0219 N80-30870 KRISHNASWAMY, V. S. MATIIASEVICH. L M. Contribution of Landsat data to the objectives of the Evaluation of Bayesian sequential proportion estimation Photometric problems, solved by means of space geological survey of India p0189 A80-51077 using analyst labels photography p0209 A80-49657 [E80-10304] p0219 N80-30871 KRITIKOS, G. MATSH. S. E. Evaluation of Landsat image data for the extraction of As-built design specification for equiprobability ellipses Geologic application of thermal inertia imaging using land use information and its presentation in thematic representation of CLASSY clusters HCMM data maps P0185 A80-50902 [E80-10320] p0221 N80-32812 [E80-10229] p0192 N80-29798 KRUMOV, A. KH. LEONHART, L S. MATSON, M. Measurement results and conclusions on the spectral LANDSAT data as a basis for regional environmental Eurasian snow cover extent - The NOAA satellite record. reflective coefficients of volcanites. granitoides and assessment within the Columbia Plateau 1966-79 p0203 A80-51295 gneisses p0191 A80-51093 (RHO-BWI-SA-43) 0183 N80-31862 P Applications of HCMM data to soil moisture snow and KRUUS. J. LEPRIEUR. C. estuarine current studies Applications to floods of remote sensing from satellites Automatic mapping of snow cover by means of Landsat [E80-10269] p0205 N80-29816 p0204 A80-51300 - Application to the central Pyrenees p0185 A80-50888 MATVEEVA, G. V. KUMAR, R. LEROY. M. L Mapping a geologicostructural scheme of the Kola Separability of agricultural cover types in spectral Infrared-temperature variability in a large agricultural peninsula from satellite imagery p0211 A80-52053 channels and wavelength regions p0173 A80-491OO field MCCARLEY. D. K. [E80-10331] p0178 N80-32822 KUO. J. T. Functional design specification for enhancement of the Detection of hidden mineral deposits by airborne spectral LESCHACK. L A. automatic status and tracking system software analysis of forest canopies Correlation of under-ice roughness with satellite and [E80-10190] P0214 N80-28788 [PB80-193881) p0193 N80-32845 airborne thermal infrared data As-built design for enhancement of the automatic status [AD-A085512] p0198 N80-30880 KUPRIANOV. V. V. and tracking system software Satellite data for the solution of problems of land LIANG. T. [E80-10197] p0214 N80-28794 Cornell University remote sensing program hydrology p0202 A80-51282 Preliminary design specification for the LANDSAT [E80-10280] p0227 N80-29823 KUSKOV, A. P. Imagery Verification and Extraction System (LIVES) UP A. B. The Mesozoic and Cenozoic depressions of the [E80-10240) P0216 N80-29809 Batkalo-Amur region from the interpretation of space Methods for the extraction of long-period ocean wave As-built design specification for field statistics photographs p0189 A80-49654 parameters from narrow beam HF radar sea echo p0195 A80-46095 (FIELDSTAT) UPPENS. C. [E80-10252] p0217 N80-30835 Volcanic material from Mount St Helens in the Detail design specification for enhancement of the stratosphere over Europe p0182 A80-54O74 automatic status and tracking system software LOVE LAND. T. R. [E80-10254] P0217 N80-30837 LANDGREBE. O. A. The Columbia River and Tributaries Irrigation Withdrawals MCCLAIN, C. R. Pixel labeling by supervised probabilistic relaxation Analysis Project - Feasibility analysis and future plans Ocean chlorophyll studies from a U-2 aircraft platform • [E80-10267] p0216 N80-29814 P0174 A80-49141 pO195 A80-45O04

B-6 PERSONAL AUTHOR INDEX PATIL. S. A.

MCCRAY. B. MOORE. D. G. Development and evaluation of scatterometer data Modifications to the CLASY program HCMM energy budget data as a model input for assessing processing algorithms (E80-10181] P0213 N80-28782 regions of high potential groundwater pollution [E80-10266I p0216 N80-29813 MCDONALD. A. K. [E80-10310] p0206 N80-32806 NIEMANN. B. J.. JR. Satellite observations of a nutrient upwelling off the coast MOORE. R. K. Monitoring the use of riverways with aerial photography: of California p0195 A80-45015 Radar backscatter study of sea ice The development, testing, and evaluation of a computer MCDOUGAL D. S. [AD-A087032] pOI98 N80-30618 assisted methodology In situ ozone data for evaluation of the laser absorption MOREIRA-NORDEMANN. L M. |AD A086471] p0182 N80-30877 spectrometer ozone remote sensor: 1979 southeastern Geochemical balance of the Salgado River basin NIKOLAEVA. f.. M. Virginia urban plume study summer field program IINPE-1849-HPE/206) p0206 N80-32834 Results of the complex processing of photographs taken [NASA-TM-8183I| p0183 N80-33928 Thermal balance of soils from the Salyut space stations p0212 A80-530O4 [INPE-1859-RPE/2101 p0180 N80-33841 MCGINNIS, O. F. NILSSON. C. S. MORIMOTO. T. Applications of HCMM data to soil moisture snow and Heat capacity mapping mission project HCM-051 Study of the atmospheric effects on the radiation detected estuarine current studies [E80-10278) p0198 N80-30850 by the sensor aboard orbiting platforms [E80-10269] P0205 N80-29816 (ERTS/LANDSAT) NOBLE. V. E. MCGUIRK. D. [E80-10259] p0218 N80-30842 On the inference of oceanic currents or eddies by Image transformation study MOROZOVA. L A. spaceborne altimetry through the dynamic method for the [AO-A086070] p0216 N80-29828 An automated aerial-photographic information-search determination of three dimensional density (temperature) MCKAY. D. P. system p0186 A80-54023 field As-built design specification for Boundary Detection And MOROZOVA. L I. [AD-A088082] p0199 N80-33076 Registration Program (BDARP1) The appearance of the Main Ural Fault in a cloud field NORDEMANN, D. [E80-10217] p0215 N80-29794 on space photographs p0189 A80-49664 Geochemical balance of the Salgado River basin As-built design specification for Boundary Detection And MORRIS. W. D. [INPE-1849-RPE/206] p0206 N80-32B34 Registration Program (BDARP1) Turbid water measurements of remote sensing NOSTREYS. R. W. [E80-10216] p0217 N80-30824 penetration depth at visible and near-infrared wavelength Report on active and planned spacecraft and MCLEISH. W. JNASA-TM-81843] p0207 N80-33927 experiments Synthetic aperture radar imaging of ocean waves - MORZIER. C. [NASA-TM-80905] p0227 N80-31420 Comparison with wave measurements Soil moisture estimation by correlated ground-based and NOVAES. R. A. p0196 A80-51411 Seasat microwave observation p0202 A80-51287 Utilization of LANDSAT data to inventory the sugar cane MCLLRATH. T. J. MOSIN. 8. T. in the state of Sao Paulo Fluorescence lidar p0181 A80-48908 A description of a system of programs for mathematically [E80-10261] p0177 N80-30844 processing on unified series (YeS) computers photographic MCMURTREY, J. E . Ill NOVAKOVSKII. B. A. images of the Earth taken from spacecraft Remote sensing of total dry-matter accumulation in Analytical geographic gridding of natural objects from (NASA-TM-76208] p0220 N80-31856 winter wheat aerial and satellite multispectral scanner images MOSKOWITZ, M. [E80-10235] p0176 N80-29804 p0212 A80-52064 US Geological Survey sources of photographs and images NUGENT. R. MCNARY. C. A. of biosphere reserves taken from spacecraft and aircraft. User manual for the Earth observations Division R and Segmentation-based boundary modeling for natural San Joaquin Experimental Range D to OLPARS dot data conversion terrain scenes 00209 A80-44297 IPB80-169295] p0192 N80-28852 [E80-10236] P0216 N80-29805 MELLEY. M. L MOUAT. D. A. Applications of statistics to thematic mapping Applied Remote Sensing Program (ARSP) p01B6 A80-53051 (E80 10330] p0178 N80-32821 MENDLOWITZ. M. A. MROCZYNSKI. R. P. Program documentations: MARQTY1.FTN. Forest resource information system, phase 3 CAMDATA1.FTN |E80-10242] p0176 N80-30825 OBERHOLTZER. J. D. [E80-10182] p0213 N80-28783 MUASHER. M. J. Assessment of the role of remote sensing in the study Program documentation: MARQUIS2.FTN A multispectral data simulation technique of inland and coastal waters [E80-10220] p0215 N80-29796 |E80-10311| p0221 N80-33830 INASA-TM-81881] p0200 N80-34048 MUELLER. J. L Statistical Outlier Detection (SOD): A computer program OFFIELD. T. W. Nimbus-7 coastal zone color scanner - System description for detecting outliers in data Geologic application of thermal-inertia mapping from and initial imagery p0197 A80-51490 (E80-102751 P0218 N80-30848 satellite Phytoplankton pigments from the Nimbus-7 Coastal Zone MENDONCA. F. J. [E80-10230] p0192 NBO-29799 Use of LANDSAT data for estimating the area of sugar Color Scanner - Comparisons with surface measurements p0197 A80-51491 OHARA. T. cane in the state of Sao Paulo Contributions of LANDSAT imagery to the geological [E80-10260] p0177 N80-30843 MUENCH. S. H. Development of techniques to specify cloudiness and mapping of the Rio do Grande Sul Shield Utilization of LANDSAT data to inventory the sugar cane IINPE-1838-RPE/199] p0193 N80-33842 in the state of Sao Paulo rainfall rate using GOES imagery data ONSTOTT. R. G. IE80-10261] p0177 N80-30844 [AD-A084757] p0206 N80-33064 Radar backscatter study of sea ice MENENTI. M. MULEY. M. V. [AD-A087032] p0198 N80-30618 Defining relationships between surface characteristics Remote sensing of water resources in Panch Mahals and actual evaporation rate district p0202 A80-51286 OUSLEY, G. W. (E80-10335] p0207 N80-33834 MURALIKRISHNA. I. V. Magsat - A new satellite to survey the earth's magnetic MENYUK. N. Landsat application to the study of coastal processes field p0223 A80-51233 Remote sensing of NO using a differential absorption p0203 A80-51292 OWEN. T. B. lidar P0182 A80-52332 MYSAK. L A. The Federal Plan for Meteorological Services and MERRILL. W. M. Dynamical interpretation of satellite-sensed thermal Supporting Research, fiscal year 1981 Simulation of reservoir and lake sedimentation features off Vancouver Island p0195 A80-46315 (PB80-199482I p0228 N80-34041 (PB80-182801) p0206 N80-31867 MYULLER. K. MEYLAN. P. Raduga experiment: Multizonal photographing the Earth . Soil moisture estimation by correlated ground-based and from the Soyuz-22 spacecraft Seasat microwave observation p0202 A80-51287 [NASA-TM-76234] p0225 N80-31S57 MILLARD. J. P. Infrared-temperature variability in a large agricultural PALEVICH. L G. field N A telemechanical system for hydrophysical studies in the [E80-10331] p0178 N80-32822 ocean pO223 A80-45766 MILLER. L D. NAERT. B. PALEY, H. N. A hill-sliding strategy for initialization of Gaussian clusters Inventory, mapping and evaluation of the agricultural Geologic application of thermal inertia imaging using in the multidimensional space potential of soils - Status of studies and needs of remote HCMM data (NASA-TM-80721) p0219 N80-31072 sensing p0175 A80-50877 [E80-10229] p0192 N80-29798 MILLER. S. H. NAIK. S. D. Geologic application of thermal inertia imaging using Geologic application of thermal-inertia mapping from Remote sensing of water resources in Panch Mahals HCMM data satellite district p0202 A80-51286 [E80-10231J p0192 N80-2980O [E80-10230] p0192 N80-29799 NARAIN. A. PANDEY. S. N. MILLER. W. F. Assessment of cyclone-caused damage in Krishna delta Fracture mapping of the Narmada-Tapti basin using Application of remote sensing to state and regional region using remotely sensed data p0204 A80-51301 Landsat imagery p0190 A80-51082 problems NASRETDINOV. K. K. PARADELLA. W. R. [E80-10338] PO183 N80-32826 Optimal conditions for determining the coordinates of Digital filtering of LANDSAT images as a visual aid MINTER. R. T. the earth's center of mass p0186 A80-54021 technique in geological photointerpretation User documentation EOD-LARSYS Earth Observations NEEDHAM. B. H. (INPE-1823-RPE/189) p0193 N80-33843 Division version of the Laboratory for Applications of Remote The availability of U.S. environmental satellite data to PARK, J. K. sensing system the marine technology community pO197 A80-53683 A hill-sliding strategy for initialization of Gaussian clusters [E80-10I88] p0214 N80-29780 in the multidimensional space NEMEC. J. MIOSGA. G. [NASA-TM-80721] pO219 N8O-31072 Space observations for water resources - A potential to Concept of a research aircraft for remote sensing, using PARTON. M. C. be developed pO201 A80-51279 an integrated sensor/data system Applied Remote Sensing Program (ARSP) [OGLR PAPER 80-051) p0227 A80-463OO NESTOR. D. A. [E80-10330] p0178 N80-32821 MISHIN. I. V. Satellite observations of a nutrient upwelling off the coast PARUNGO. F. P. Optical spatial-frequency characteristic of the atmosphere of California pO195 A80-45015 Conversion of nitrogen oxide gases to nitrate panicles and its applications pO2T2 A80-52061 NEWBURNE. R. in oil refinery plumes pO181 A80-48534 MOBLEY. F. F. Evaluation of remote sensing techniques on selected PATIL J. S. Magsat - A new satellite to survey the earth's magnetic forest sites in Florida Radar backscatter study of sea ice field p0223 A80-51233 [E80-10296] pO177 N80-32805 [AD-A087032) PO198 N80-30618 MONGET. J.-M. NEWTON. R. W. PATIL S. A. The cartography of Chize forest through remote Microwave radiometer measurements of soil moisture Assessment of cyclone-caused damage in Krishna delta sensing pOl 75 A80-5O900 content pOI76 A80-53890 region using remotely sensed data 00204 A80-51301 B-7 PAWKA. S. S. PERSONAL AUTHOR INDEX

PAWKA. S. S. SAHAI, B. Radar observations of wave transformations in the vicinity Remote sensing of water resources in Panch Mahals of islands p0196 A80-51408 district p0202 A80-51286 RAGAN, R. M. SALOMONSON. V. V. Comparisons between wave directional spectra from SAR Computer-aided watershed analyses using remote and pressure sensor arrays p0196 A80-51409 sensing based regional information systems The contribution of space observations to water resources PAYNE. R. W P0204 A80-51299 management: Proceedings of the Symposium. Bangalore. The integrated analysis procedure for identification of India. May 29-June 9. 1979 p0201 A80-51278 RAINA. B. N. The utility of Landsat-D for water-resources studies spring small grains and barley Landsat exploration of Himalayan and Peninsular regions [E80-10274] p0177 N80-30847 P0205 A80-51309 /Remote sensing and mineral exploration - Progress report SALZMAN. J. PEREIRA. C. 8. of work done in India/: I.G.C.P. Project 143 Quantitative interpretation of Great Lakes remote sensing Coastal currents: Study of a model applied to the coast p0190 A80-51081 of Rio Grande do Sul latitude 29 deg south to 35 deg data P0201 A80-45005 RAMACHANDRAN. T. V. SANTANA. C. E south Geological ground-truths and Landsat imagery [INPE-1841-RPE/201) p0200 N80-33844 Platform antennas for data collection interpretation for parts of Karnataka State /India/ [INPE-1820-RPE/186] p0221 N80-33647 PEREVOZHIKOVA. V. A. p0190 A80-51080 SAUERWEIN. C. H. Mapping a geologicostructural scheme of the Kola RANGO. A. Applied Remote Sensing Program (ARSP) peninsula from satellite imagery p0211 A80-52053 Remote sensing applications in hydrometeorology (E80-10330) P0178 N80-32821 PESTRE. C. D0202 A80-51283 SAXTON. K. The geomorphology of Mont-Saint-Michel Bay studied RASMU8SEN. P. Use of soil moisture information in yield models from the remote sensing of instantaneous shorelines Use of soil moisture information in yield models IE80-10302] P0177 N80-30869 p.0201 ABO-50899 [E80-10302) p0177 N80-30869 SCHANOA. E. PETERSON, C. REBILLARD. P. Soil moisture estimation by correlated ground-based and Forest resource information system, phase 3 L-band radar and geology - Some results in south-east Seasat microwave observation p0202 A80-51287 [E80-10242] p0176 N80-30825 of France p0191 A80-51095 Microwave emission properties of snow for monitoring hydrological parameters p0203 A80-51297 PETROV, V. IA. REED. R. K. SCHERTLER. R. J. An automated aerial-photographic information-search Direct measurement of recirculation in the Alaskan Assessment of the role of remote sensing in the study system p0186 A80-54023 Stream p0195 A80-46316 of inland and coastal waters PHIUPPE. M. REETZ, H. Thermal fronts in the Mediterranean according to NOAA [NASA-TM-81881] p0200 N80-34048 Use of soil moisture information in yield models SCHOWENGERDT. R. A. 5 satellite radiometer data /September 1977-February [E80-10302] p0177 N80-30869 1979/ p0195 A80-48750 Applied Remote Sensing Program IARSP) REICH. R. [£80-10330] P0178 N80-32821 PHIUPSON, W. R. Eveluation of remote sensing techniques on selected SCHUBERT. J. a. Cornell University remote sensing program forest sites in Florida Quantitative monitoring of sediment levels in freshwater [E80-10280J p0227 N80-29823 [E80-10296J p0177 N80-32S05 lakes from Landsat p0203 A80-5I29I PHILLIPS. T. Q. REICHARDT. K. L SCHUCHARDT. J. M. Detailed design specification for the Yield Estimation Applied Remote Sensing Program (ARSP) A 94/183 GHz multichannel radiometer for Convair Subsystem Data Management System IYESDAMS) [E80-10330] p017B N80-32821 flights (E80-10180) p0213 N80-28781 RICE. W. C. INASA-CR-160032] p0225 N80-33047 PHILPOT. W. D. Interactive digital image processing investigation, phase SCHULER. W. Remote sensing of coastal environment and resources 2 Conceptual study of a European remote sensing satellite p0202 A80-51281 [AD-A087518] p0222 N80-33848 with combined optical and microwave payload PIRARD. T. RICH. E. I. [BMFT-FB-W-79-18] p0224 N80-29407 Brazil in space p0227 A80-52691 Soil moisture in relation to geologic structure and SCHWARZ. G. lithology. northern California Terrain analyst synthesizer station PITTS. D. E. [E80-10298] pOI92 N80-30865 [AD-A087370] p0187 N80-31860 AgRISTARS cropping practices and crop characteristics based on 1979 ESCS observations RICHARDS. J. A. SCHWINGENDORF. S. [E80-10292) pOI77 N80-30860 Pixel labeling by supervised probabilistic relaxation Forest resource information system, phase 3 [E80-I0267] p0216 N80-29814 [E80-10242] p0176 N80-30825 POISSON, M. RIEPMA. H. W. SEEBER. G. The cartography of Chize forest through remote Observed short-time temperature variations and tidal . Platform and buoy positioning experiments in the North sensing p0175 A80-50900 current constants in the North Sea south east of the Dogger Sea via Doppler satellite techniques p0197 A80-53691 POLHEMUS. J. T. Bank /Comparison of two seasons/ p0197 A80-54060 SEIDMAN. J. B. The applicability of remote sensing to Earth biological RIOS. A. Satellite remote sensing facility for oceanograhic problems. Part 2: The potential of remote sensing in Design specification for merge of BTREAD. Phase 1 and applications pest management Phase 2 accuracy assessment programs [NASA-CR-1633631 p0197 N80-28847 [NASA-CR-163589J p0178 N80-32830 (E80-10255J p0217 N80-30838 SERVAT. E. PORACSKV. J. RIVERAU. J.-C. Inventory, mapping and evaluation of the agricultural Irrigation mapping in western Kansas using Landsat. I - Landsat imagery in oil exploration - Six years of potential of soils - Status of studies and needs of remote Key parameters p0174 A80-49142 experience p0189 A80-50880 sensing P0175 A80-50877 PORE, M. D. RODRIGUEZ, R. M. SESTAK. M. L A discriminant approach to parameter estimation in the Final design specification for LARSYS Composition and assembly of a spectral data base for linear model with unknown variance-covariance matrix modification/Fisher F-distribution thresholding com and soybean multicrop segments [E80-10192] p0214 N80-28789 [E80-10210] p0215 N80-29789 [E80-10281] p0176 N80-29824 A labeling technology for LANDSAT imagery HOGALA. J. P. User's guide for the Yield Estimation Subsystem Data (E80-10293] p0219 N80-30861 The use of satellite imagery for mapping - The study of Management System (YESDAMS) soil moisture p0175 A80-50903 POULAIN. J. [E80-10276] p0218 N80-30849 Basic topographic mapping - Renewal and revision ROSENFIELD. G. H. SETT1. D. N. p0185 A80-50897 Applications of statistics to thematic mapping Evaluation of MSS imagery over pan of the p0186 A80-53051 asbestos-barytas belt of south-western Cuddapah basin. POUNDER. E. ROSENKRANZ. W. A. Andhra Pradesh. India p0191 A80-51089 Seasat. Volume 2: Flight systems Recommendations and comments concerning (NASA-CR-163571] pOI99 N80-32829 SEVASTIANOV. V. I. documentation on the microwave active spectrometer Geological analysis of the Urals-Oman superlineament POUNDS. D. P. systems from satellite imagery p021 1 A80-52052 Recommendations and comments concerning [E80-10187] p0213 N80-28787 SEVUGAN CHETTY. A. documentation on the microwave active spectrometer ROSS. D. Use of Landsat data products for geological mapping • systems Synthetic aperture radar imaging of ocean waves - A case history in Tamilnadu. India p0191 A80-51090 [E80-10187] 0213 N80-28787 P Comparison with wave measurements SHAHROKHI. F. PRELAT. A. E. p0196 A80-51411 Digital LANDSAT data analysis of Tennessee Geological and geothermal data use investigations for ROUSE. J. W.. JR. [E80-10130] p0212 N80-28768 application Explorer mission-A (heat capacity mapping Microwave radiometer measurements of soil moisture SHARMA. S. K. mission) content p0176 A80-53890 Remote sensing application in groundwater surveys and [E80-10279] p0192 N80-29822 ROWAN. L C. exploration in India p0202 A80-51280 Remote sensing and mineral exploration: Proceedings PRITCHARD. W. L SHEMDIN. O. H. China space report /Based on observations made during of the Workshop. Bangalore. India. May 29-June 9. 1979 Radar observations of wave transformations in the vicinity an invited tour with an AIAA delegation. November p0189 A80-51076 of islands p0196 ABO-51408 1979/ p0227 A80-53350 ROWLAND. J. K. Final design specification for EOD-LARSYS/data Comparisons between wave directional spectra from SAR PROKACHEVA. V. G. transformation processor modification and pressure sensor arrays p0196 A80-51409 Satellite data for the solution of problems of land [E80-10211] p0215 N80-29790 Synthetic aperture radar imaging of ocean waves - hydrology P0202 A80-51282 ROZANOV. L N. Comparison with wave measurements PUESCHEL, R. F. Characteristics of the representation of tectonic faults pO196 A80-51411 Conversion of nitrogen oxide gases to nitrete particles on space photographs p0189 A80-49663 SHIMABUKURO. Y. E. in oil refinery plumes p0181 A80-48534 RUSSELL. O. R. Evaluating the reforested area for the municipality of Buri Remote sensing for tunnel siting studies by automatic analysis of LANDSAT imagery P0189 A80-48975 [E80-10258] P0176 N80-30841 Utilization of LANDSAT data to inventory the sugar cane in the state of Sao Paulo [E80-10261] p0177 N80-30844 QUATTROCHI. D. A. The use of LANDSAT data for evaluation and Application of remote sensing to state and regional SAGOEEV. R. Z. characterization of deforested pasturefand and reforested problems Utilization of space for scientific and economic purposes areas in Brazil [E80-10338] p0183 N80-32826 in the USSR in 1978 P0227 A80-53148 [INPE-1794-RPE/166] p0179 N80-32836 B-8 PERSONAL AUTHOR INDEX TRAGANZA. E. D.

SHIPMAN. J. S. SONNEMBURQ. C. R. SWAIN. P. H. Interactive digital image processing investigation, phase Classification of multispectral images according to Pixel labeling by supervised probabilistic relaxation 2 crosswise textural characteristics [E80-10267] p0216 N80-29814 [AD-A087S18] p0222 N80-33848 [E80-I02S7) p0218 N80-30840 A multiprocessor implementation of a contextual image SHOOK. O. F. SPEIRER. R. A. processing algorithm Quantitative interpretation of Great Lakes remote sensing Development of a method to detect geologic faults and [E80-10313] p0221 N80-32808 data P0201 A80-45005 other linear features from LANDSAT images A multispectral data simulation technique SHUCHMAN. R. A. (PB80-189665) p0193 N80-32844 (E80-10311] p0221 N80-33830 SPIRIDONOV. IU. O. Synthetic aperture radar imaging of ocean waves - SWAMINATHAN. V. L Comparison with wave measurements Practical aspects of radiative correction of multispectral video information p0211 A80-52060 Use of Landsat data products for geological mapping - p0196 A80-51411 A case history in Tamilnadu. India p0191 A80-51090 SPIRIDONOV. KH. B. SHULMINA. M. P. Measurement results and conclusions on the spectral SWIFT. C. T. Investigation of the accuracy of transposition of landmarks reflective coefficients of volcanites. granitoides and Microwave radiometric aircraft observations of the and contour points to small-scale aerial photographs gneisses pO!91 A80-51O93 Fabry-Perot interference fringes of an ice-water system P0212 A80-5300S SRINIVASAN. V. P0195 A80-44232 SHUR. L A. Use of Landsat data products for geological mapping - SWIFT. R. N. Optical methods for the study of biocenoses on land A case history in Tamilnadu. India p0191 A80-51O90 Oil film thickness measurement using airborne and sea p0201 A80-49656 SRIVASTAVA. O. S. laser-induced water Raman backscatter SIOKO. A. F. Problems of snow cover assessment - An epproach using p0197 A80-52331 Optical methods for the study of biocenoses on land remote sensing techniques in a pilot project in the Beas SYDOR, M. and sea p0201 A80-49656 river basin. Himachal Pradesh. India p0203 ABO-51294 Remote sensing of paniculate concentrations in water SIDKO, F. IA. SRIVASTAVA, V. C. P0201 A80-46450 Optical methods for the study of biocenoses on land Tectonics and lineament patterns of the Vindhyan basin and sea p0201 A80-49656 besed on Landsat imagery data p0190 A80-51084 SIEGEL H. J. STANCZUK. O. T. A multiprocessor implementation of a contextual image Remote sensing for tunnel siting studies processing algorithm p0189 A80-48975 IE80-10313] p0221 N80-32808 STEFANOVIC. P. TALUKDAH, S. N. Application of remote sensing techniques to petroleum SIJMONS. K. Computer-assisted production of multi-coloured maps exploration in India p0191 A80-51088 Computer-assisted production of multi-coloured maps p0209 A80-49S21 p0209 A80 49521 STEIN. R. TAMILARASAN. V. Program on stimulating operational private sector use Use of Landsat data products for geological mapping - SILVESTRI. A. of Earth observation satellite data A case history in Tamilnadu. India p0191 A80-51090 Image transformation study [E80-10233] p0227 N80-29802 [AD-A086070] p0216 N80-29828 Remote sensing of water resources in Panch Mahals STEPANOVA. G. I. district p0202 A80-51286 SIMONS. O. B. A method for mapping soil reflectance A hill-sliding strategy for initialization of Gaussian clusters Evaluation of hydrogeologic conditions in Ponneiyar River p0175 A80-49655 basin. South India using remotely sensed data in the multidimensional space STEPHAN. J. O [NASA-TM-80721] p0219 N80-31072 p0203 A80-51288 LANDSAT data as a basis for regional environmental TANQ. C. L SINGH. K. P. assessment within the Columbia Plateau Observation of wavelike motion of the Gaspe Current Application of Landsat imagery to ground water studies [RHO-BWI-SA-43] p0183 N80-31862 P0195 A80-46309 in parts of Punjab and Haryana states. India STEVENS. R. D. S. TARDIN. A. T. p0203 A80-51290 Airborne sulfur dioxide to sulfate oxidation studies of Utilization of LANDSAT data to inventory the sugar cane SIRCAR. J. K. the INCO 381M chimney plume p0182 A80-53269 in the state of Sao Paulo Interfacing with SEO technology - A case study in STEVENS. W. A. [E80-10261] p0177 N80-30844 geological application p0190 A80-51086 EOD systems and facilities workload requirements TEAGUE. C. C. SKATERSHCHIKOV. S. V. forecast Radar observations of wave transformations in the vicinity The use of space photographic data for the study and (E80-10277] P0176 N80-29821 of islands p0196 A80-51408 mapping of anthropogenic landscapes p0186 ABO-54025 STEWART. J. TELEKI. P. G. SKLIAROV. V. E. Dreft user procedures: Software wheat yield Synthetic aperture radar imaging of ocean waves - The three-dimensional structure of the frontal zone of predictions/foreign equivalent test Comparison with wave measurements the Gulf Stream from synchronous satellite end ship data [E80-102871 p02I8 N80-30855 P0196 A80-51411 p0196 A80-49651 STEWART, R. W. TELES. J. Development of a pulsed 9.5 micron lidar for regional SLEMONS. C. The Landsat-D/Global Positioning System experiment scale 03 measurement p0181 A80-48909 As-built design specification for the Yield Estimation IAIAA PAPER so-1678] p0209 A80-46522 Subsystem (YES) monthly yield data base and supporting STOIBER. R. E. TELFER. O. J. An investigation of vegetation and other Earth programs Satellite monitoring of sea surface pollution resource/feature parameters using LANDSAT and other [E80-10218I p021S N80-29795 [E80-10329] p0199 N80-32820 remote sensing data. 1: LANDSAT. 2: Remote sensing TERRELL G. SMITH. B. of volcanic emissions Program on stimulating operational private sector use Sampling of rectangular regions (E80-10312) p0225 N80-32807 [E80-102721 p0176 N80-29819 of Earth observation satellite data STOLZ. A. [E80-10233] p0227 N80-29802 TERRELL, G. R. Crustal deformation at very long baseline interferometry Evaluating the use of analyst labels in maximum likelihood SMITH. B. W. sites due to seasonal air-mass and ground water cluster proportion estimation A multiprocessor implementation of a contextual image variations p0186 N80-28809 [E80-103031 p0219 N80-30870 processing algorithm STRAHLER. A. H. TEWARI. B. S. [E80-10313I p022l N80-32808 Use of collateral information to improve LANDSAT Application of Landsat imagery to ground water studies SMITH. C. classification accuracies in parts of Punjab and Haryana states. India Forest resource information system, phase 3 IE80-10268) p017B N80-29815 P0203 A80-51290 (E80-I0242) p0176 N80-30825 STRATIGOS. J. A. THEUN, G. P. SMITH. D. L A 94/183 GHz multichannel radiometer for Convair Development and application of Landsat-derived As-built design specification for LACIE phase 3 automatic nights ' irrigation cropland maps for water use determination in status and tracking system [NASA-CR-160032] p0225 N80-33047 the High Plains pOI75 A80-49144 [E80-10I75] 00213 N80-28776 STROWD, W. THOME. P. G. Detailed design specification for the automatic status Additions and corrections to the bibliography of geologic The coordinated federal program for the application of and tracking system modifications for LACIE procedure 1 studies. Columbia Plateau (Columbia River Basalt) and space technology to crustal dynamics and earthquake |E80 10243] P02I7 N80-30826 adjacent areas, in Idaho. 1980 research (RHO-BWI-C-68) p0192 N80-32013 Operator's guide for LACIE phase 3 automatic status (NASA-TM-82215) p0187 N80-33999 and tracking system STRUVE. H. THOMPSON. T. W. (E80-10284) p0218 N80-30852 Remote sensing procedures for detecting and monitoring Modulation of sea surface radar cross section by surface various activities regulated by the Mobile District SMITH. J. A. stress - Wind speed and temperature effects across the [AD-A087584] p0206 N80-31973 Simulation of solar radiation absorption in vegetation Gulf Stream pO196 A80-51415 canopies p0173 A80-46451 SUKHININ. A. I. THOMSEN. A. G. Evaluation of the fire hazard of taiga forests from their A watershed information system p0207 N80-33S25 SNELSON. F. F.. JR. thermal radio emission p0175 A80-49652 TINNEY. L A continuation of base-line studies for environmentally Irrigated lands assessment for water management monitoring space transportation systems at John F. Kennedy SUSHKEVICH. T. A. Optical spatial-frequency characteristic of the atmosphere Applications Pilot Test (APT) Space Center. Volume 3. part 1: Ichthyological survey IE80-10324] p0178 N80-32S15 of lagoonal waters and its applications p0212 A80-52061 TISHCHENKO. A. P. INASACR 163122 VOL 3 PT1] p0197 N80-28939 SUSPLUGAS. B. A method for mapping soil reflectance A continuation of base-line studies for environmentally A study of the needs of French government agencies in remote sensing mapping pO181 A8O-50882 pO175 A80-49655 monitoring space transportation systems at John F. Kennedy Practical aspects of radiative correction of multispectral SVEHLA. R. A. Space Center. Volume 3. part 2: Ichthvologtcal studies, video information p0211 A8O-52060 Quantitative interpretation of Great Lakes remote sensing sailfin molly reproduction study TKHAI. M. N. [NASA-CH-163I22-VOL-3-PT-21 pO198 N80-28940 data p0201 A80-45005 Anafysis of the results of an interpretation of satellite SOKOLOV. V. I. SVELTO, F. and aerial 'protography of Western Uzbekistan Optical methods for the study of biocenoses on land Sensors for remote sensing pO211 A8O-52055 and sea p0201 A80-49656 |dSE N 190] p0225 N80-31863 TOWNSHEND. J. R. G. SOLOMON. J. L . SVELTO. V. Unsupervised classification of MSS Landsat data for Application of remote sensing to slate and regional Sensors for remote sensing mapping spatially complex vegetation p0173 A8O-47744 problems [dSE-N-190] p0225 N80-31863 The potential of Landsat-3 RBV images for thematic (E80-10338) pO183 N8O-32826 SVENTEK. IU. V. mapping p0210 A8O-5O894 SONA. A. Analytical geographic gridding of natural objects from TRAGANZA. f.. O. Sensors for remote sensing aerial and satellite multispectral scanner images Satellite observations of a nutrient upwelling off the coast [dSE-N-190] 00225 N80-31863 00212 A80-52O64 of California p0195 A8O-45015 B-9 TRAGNI. F. PERSONAL AUTHOR INDEX

TRAGNI. F. The cartography of Chize forest through remote As-built design specification for the Brazil and China Implementation specification document for merge of sensing p0175 A80-50900 monthly data bases BTREAD. phase 1. and phase 2 accuracy assessment VESECKY. J. F. IE80-10172) P0213 N80-28773 programs Radar observations of wave transformations in the vicinity LACIE/phase 3 Adjustable Crop Calendar IACC) [E80-10285] p0218 N80-30853 of islands pOI 96 A80-S1408 configuration control procedures manual TRAIZET. M. VET. R. J. (E80-10186) P0213 N80-28786 Automatic mapping of snow cover by means of Landsat Airborne sulfur dioxide to sulfate oxidation studies of As-built design specification for historical daily data bases • Application to the central Pyrenees p0185 A80-50888 the INCO 381M chimney plume p0182 A80-53269 for testing advanced models TRENCHARD. M. H. [E80-10198) 0214 N80-28795 VITELLARO, J. A. P Composition and assembly of a spectral data base for As-built design specification for areas added to the Project development plan for the LANDSAT Imagery corn and soybean multicrop segments Verification and Extraction System (LIVES) monthly bases of Texas. Minnesota and USSR |E80 10281] pO176 N80-29824 [E80-10241] 0216 N80-29810 IE80-10238] p0216 N80-29807 P TROGUS. W. As-built design specification for the India monthly data Conceptual study of a European remote sensing satellite Test plan for the LANDSAT Imagery Verification and base with combined optical and microwave payload Extraction System (LIVESI [E80-10264] p0216N80-29811 [BMFT-FB-W-79-18) p0224 N80-29407 [E80-10239] p0216 N80-29808 As-built design specification for phase 3 model areas TSUCHIYA. K. EOD systems and facilities workload requirements added to the monthly data base of the US Earth observation systems in Japan p0205 A80-51310 forecast [E80-102631 p0218 N80-30846 TSURUTANI, B. [E80-10277] P0176 N80-29821 WILLIAMS. K. F. Substorm warnings • An ISEE-3 real time data system VITHAYATHIL F. Detailed design specification for the Yield Estimation p0209 A80-46225 Program on stimulating operational private sector .use Subsystem Data Management System (YESOAMS) TUCKER. C. J. of Earth observation satellite data [E80-10180) p0213 N80-28781 Remote sensing of total dry-matter accumulation in [E80-10233] p0227 N80-29802 WILLIAMS. T. H. L winter wheat VOHRA. C. f. Irrigation mapping in western Kansas using Landsat. II (E80-10235] pOI76 N80-29804 Problems of snow cover assessment - An approach using - Practices and problems p0174 A80-49143 TURNER. J. F.. JR. remote sensing techniques in a pilot project in the Beas Application of Landsat imagery to ground water studies Evaluation of remote hydrologic data-acquisition systems, river basin. Himachal Pradesh. India p0203 A80-51294 in pans of Punjab and Haryana states. India west-central Florida VOLTER. V. P0203 A80-51290 [PB80-176951] p0205 N80-29832 Raduga experiment: Multizonal photographing the Earth WILLS. B. E. TUTEVICH. V. N. from the Soyuz-22 spacecraft As-built design specification for EOD-LARSYS procedure A telemechanical system for hydrophysical studies in the [NASA-TM-76234) p0225 N80-31857 1 ocean p0223 A80-45766 [E80-10174] p0213 N80-28775 VOSTRIAKOVA. N. V. Design specification for LARSYS procedure 1 The use of space data for the prediction of mountain-river flooding in Siberia p0201 A80-49653 [E80-101991 p0214 N80-28796 u User documentation EOD-LARSYS Earth Observations Division version of the Laboratory for Applications of Remote ULABY. F. T. sensing system Vegetation cluner model p0173 A80-44262 W (E80-10I88] p0214 N80-29780 ULBRICHT. K. A. Design specification for color coded spectral plots Comparative experimental study on the use of original WARNER. K. IE80-10245] p0217 N80-30828 and compressed multispectral LANDSAT data for applied Program on stimulating operational private sector use WILMET. J. research of Earth observation satellite data Spatial filtering of Landsat data for urban cartography [DFVLR-FB-80-03] p0220 N80-31865 (E80-10233] P0227 N80-29802 p0185 A80-50892 UNGAR. S. G. WARREN, P. L WILSON. C. L Thematic mapper studies band correlation analysis Applied Remote Sensing Program (ARSP) Remotely sensed data processing techniques, present and [NASA-TM-80716] P02I6 N80-29825 IE80-10330] p0178 N80-32821 future p0209 A80-49138 USACHEV, V. F. WARZECHA. L W. Satellite data for the solution of problems of land WILSON. E. L. Landsat-D - Overview and implications As-built design specification for Metro data edit hydrology p0202 A80-51282 P0224 A80-53609 program USIKOV. D. A. WATSON. K. IE80-10201) p0214 N80-29781 Allowance for light scattering in the atmosphere in the Geologic application of thermal-inertia mapping from WILSON, L processing of space photographs of the earth's surface satellite Satellite monitoring of sea surface pollution p0210 A80-49658 [E80-10230] p0192 N80-29799 [E80-10329] P0199 N80-32820 A description of a system of programs for mathematically WEECKSTEEN. G. WILSON. W. H. processing on unified series (YeS) computers photographic Review of BRGM research activities in geological remote Nimbus-7 coastal zone color scanner - System description images of the Earth taken from spacecraft sensing and medium-term perspectives and initial imagery p0197 A80-51490 [NASA-TM-76208] p0220 N80-31856 P0189 A80-50881 WINTER. R. USOVA. V. V. WEHDE. M. E. Evaluation of Landsat image data for the extraction of Results of the complex processing of photographs taken Impact of cell size on inventory and mapping errors in land use information and its presentation in thematic from the Salyut space stations p0212 A80-53004 a cellular geographic information system maps p0185 A80-50902 UVADEV. L I. (E80-10315] P0221 N80-33831 WISE. M. A. Mapping a geologicostructural scheme of the Kola WEHMANEN. O. A. peninsula from satellite imagery p02 1 1 A80-52053 AgRISTARS cropping practices and crop characteristics As-built design specification for scatter plots for direct based on 1979 ESCS observations wheat [E80-10292] p0177 N80-30860 [E80-10250] p0217 N80-30833 WITTE. W. G. WEINHAUS. F. Turbid water measurements of remote sensing Image transformation study penetration depth at visible and near-infrared wavelength [AD-A086070] p0216 N80-29828 VACCARI. C. [NASA-TM-81843] p0207 N80-33927 WEISSMAN. D. E. Use of satellite imagery for the derivation of the WOODEN. W. H.. II Modulation of sea surface radar cross section by surface hydrogeologic characteristics of a test area in semiarid The Landsat-D/Global Positioning System experiment stress - Wind speed and temperature effects across the climates p0202 A80-51284 [AIAA PAPER 80-1678) p0209 A80-46522 Gulf Stream p0196 A80-51415 VALENDIK. E. N. WESTPHAL M. WOODHAM, W. M. Evaluation of the fire hazard of taiga forests from their Conceptual study of a European remote sensing satellite Evaluation of remote hydrologic data-acquisition systems, thermal radio emission p0175 A80-49652 with combined optical and microwave payload west-central Florida VANDERBILT. V. C. [BMFT-FB-W-79-18] p0224 N80-29407 [PB80-176951] p0205 N80-29832 A model of plant canopy polarization response WHITE. W. P. WYSSEN. D. [E80-10336] P0179 N80-33835 As-built specification for CCit6A processor program Soil moisture estimation by correlated ground-based and VANZYL A. S. [E80-10168] p0212 N80-28769 Seasat microwave observation p0202 A80-51287 Bonne's projection of Meteosat images As-built specification for CCIT7 processor program [CSIR-SR-FIS-201] p0222 N80-33837 [E80-10209] p0215 N80-29788 VASILEV, L N. WHITIOCK. C. H. Determination of the spectral characteristics of soils and Turbid water measurements of remote sensing vegetation p0211 A80-52059 penetration depth at visible and near-infrared wavelength YODER, J. A. VASIUTINA. L G. [NASA-TM-81843] p0207 N80-33927 WIEGANO. C. L Ocean chlorophyll studies from a U-2 aircraft platform The Mesozoic and Cenozoic depressions of the p0195 A80-45004 Baikalo-Amur region from the interpretation of space Use of soil moisture information in yield models photographs p0189 A80-49654 IE80-10302] P0177 N80-30869 WIESNER. D. R. VELTEN. E. Eurasian snow cover extent - The NOAA satellite record. Conceptual study of a European remote sensing satellite 1966-79 p0203 A80-51295 with combined optical and microwave payload WIESNET. D. R. [BMFT-FB-W-79-18) p0224 N80-29407 Satellite studies of fresh-water ice movement on Lake ZABEUN. V. A. New data on the geological structure of the VENEZIANI. P. Erie p0205 A80-53611 Verkhoiany-Kolyma fold region from an analysis of satellite Remote sensing applied to the prospecting of geothermal Applications of HCMM data to soil moisture snow and anomaly in Caldas Novas County. State of Goias. Brazil estuarine current studies TV images p0211 A80-52051 [INPE-1792-RPE/164] p0193 N80-32837 ZHUCHENKO. A. G. (E80-10269] P0205 N80-29816 VENKATARAMAN. G. WILHEIT. T. T. An automated aerial-photographic information-search Evaluation of hydrogeologic conditions in Ponnaiyar River Microwave radiometric determination of oceanographic system p0186 A80-54023 besin. South India using remotely sensed data and meteorological parameters p0223 A80-51579 ZHUKOV. V. M. p0203 A80-S1288 WILLIAMS. K. A telemechanical system for hydrophysical studies in the VERGER, F. As-built design specification for the Yield Estimation ocean p0223 A80-45766 The geomorphology of Mont-Saint-Michel Bay studied Subsystem (YES) operational Robertson phonological ZHURKIN. I G. from the remote sensing of instantaneous shorelines model A photogrammetric method of processing space 00201 A80-50899 IE80-10170] p0212 N80-28771 photographs p0185 A80-46967 B-10 PERSONAL AUTHOR INDEX ZUBCHENKO. E. S.

ZIUOU. E. Study of geological structure of Sicily and other Italian areas |E80-10299] P0192 N80-30866 ZIMAN. IA. L Imaging in many frequency bands p0212 A80-52062 ZIMAN. Y. Raduga experiment: Multizonal photographing the Earth from the Soyuz-22 spacecraft [NASA-TM-762341 P0225 N80-31857 ZOLOTUKHIN. V. G. Allowance for light scattering in the atmosphere in the processing of space photographs of the earth's surface P0210 A80-49658 A description of a system of programs for mathematically processing on unified series (YeS) computers photographic images of the Earth taken from spacecraft [NASA-TM-76208] P0220 N80-31856 ZUBCHENKO, E. S. The use of space data for the mapping of coastal areas P018S A80-45297

B-11 CORPORATE SOURCE INDEX

Earth Resources/,4 Continuing Bibliography (Issue 28) JANUARY 1981

Typical Corporate Source Index Listing

CORPORATE SOURCE DEFENSE MAPPING AGENCY HYDROGRAPHIC AND TOPOGRAPHIC CENTER. WASHINGTON. D.C. Application of thematic mapping techniques in terrain WASHINGTON UNIV.. KATTU. CAUFORNIA INST. OF TECH.. PASADENA. analysis - Study in remote sensing tor land UM Degradation of picture quality by speckle in coherent [AD-A089061] P0222 N80-33847 IAQ.A0718O2J pO024 N»O. 11537 mapping systems p0217 N80-30821 CAUFORNIA UNIV.. BERKELEY. DEPARTMENT OF AGRICULTURE. WESLACO. TEX. Irrigated lands assessment fot watei management Using 70-mm aerial photography to identify rangeland Applications Pilot Test IAPTI sites p0175 A80-53056 IE80-10324] p0178 N80-328I5 DEUTSCHE FORSCHUNGS- UNO Application of remote sensing to selected problems within VERSUCHSANSTALT FUER LUFT- UNO RAUMFAHRT. the state of California OBERPFAFFENHOFEN (WEST GERMANY) [E80-103261 p0183 N80-32817 Conceptual study of a European remote sensing satellite Development of Al procedures for dealing with the effects with combined optical and microwave payload of episodal events on crop temporal spectral response and [BMFT-FB-W.79-18] p0224 N80-29407 The title of the document is used to provide a development of AI guidelines for corn and soybean Comparative experimental study on the use of original labeling brief description of the subject matter. The page and compressed multispectral LANDSAT data for applied IE80-10327] p0178 N80-32818 number and the accession number are included research CAUFORNIA UNIV.. LA JOLLA. [DFVLR-FB-80-03] p0220 N80-31865 in each entry to assist the user in locating the ab- Radar observations of wave transformations in the vicinity stract in the abstract section. If applicable, a of islands pO198 A80-51408 CORNIER WERKE G.M.B.H.. FRIEDRICHSHAFEN Comparisons between wave directional spectra from SAR (WEST GERMANY). report number is also included as an aid in iden- and pressure sensor arrays p0196 A80-51409 Conceptual study of a European remote sensing satellite with combined optical and microwave payload tifying the document. CALIFORNIA UNIV.. SANTA BARBARA. [BMFT-FB-W-79-181 p0224 N80-29407 Use of collateral information to improve LANOSAT classification accuracies [E80-10268] p0176 N80-29815 CENTRO INFORMAZIONI STUD I ESPERIENZE. MILAN (ITALY). AIR FORCE GEOPHYSICS LAB.. HANSCOM AFB. Sensors for remote sensing MASS. [CISE-N-190] p0225 N80-31863 EASTMAN KODAK CO.. ROCHESTER. N. Y. Development of techniques to specify cloudiness and Advanced solid state Earth resources satellite study rainfall rate using GOES imagery data COLORADO STATE UNIV.. FORT COLLINS [E80-I0232) p0224 N80-29801 [AD-A084757] p0206 N80-33064 Simulation of solar radiation absorption in vegetation canopies p0173 A80-46451 APPUED PHYSICS LAB.. JOHNS HOPKINS UNIV.. EDGERTON. GERMESHAUSEN AND GRIER. INC.. LAUREL, MD. COLORADO UNIV. AT BOULDER. SUNNYVALE. CAUF. Magsat - A new satellite to survey the earth's magnetic A multi-step method for avalanche zone recognition and Aerial gamma ray and magnetic survey: Raton Basin field pO223 A80-51233 analysis pOI93 N80-33824 project. The Raton and Santa Fe quadrangles of New Mexico APPUED SCIENCE ASSOCIATES. INC.. APEX. N. C. COLUMBIA UNIV.. NEW YORK. [GJBX-9(80)-VOL-2| p0192 N80-30881 Radar altimeter mean return waveforms from Detection of hidden mineral deposits by airborne spectral near-normal-incidence ocean surface scattering analysis of forest canopies EG AND Q WASHINGTON ANALYTICAL SERVICES pO224 A80-53891 [PB80-193881) p0193 N80-32845 CENTER. INC.. POCOMOKE CITY. MD. Wallops waveform analysis of SEASAT-1 radar altimeter COMMITTEE ON COMMERCE. SCIENCE. AND Oil film thickness measurement using airborne data TRANSPORTATION (U. S. SENATE). laser-induced water Raman backscaner [NASA-CR-156869] p0198 N80-29637 Operational remote sensing legislation, pan 1 P0197 A80-52331 [GPO-45-048] p0228 N80-34294 ARIZONA UNIV.. TUCSON. ELECTROMAGNETIC SYSTEMS LABS.. INC.. Polar nephelometer for atmospheric paniculate studies Operational remote sensing legislation, pan 2 SUNNYVALE. CAUF. POI82 A80-52346 IGPO-52-5811 p0228 N80-34295 Image transformation study Applied Remote Sensing Program (ARSP) COMPUTER SCIENCES CORP.. SILVER SPRING. MO. [AD-A086070] P0216 N80-29828 [E80-10330I P0178 N80-32821 Nimbus-7 coastal zone color scanner - System description ENVIRONMENTAL RESEARCH AND TECHNOLOGY. and initial imagery p0197 A80-51490 ARMY ENGINEER TOPOGRAPHIC LABS.. FORT INC.. CONCORD. MASS. BELVOIR. VA. CONSIGUO NAZIONALE DELLE RICERCHE. MILAN Investigation of the application of HCMM thermal data Errors in automatic pass point mensuration using digital (ITALY). to snow hydrology techniques Study of geological structure of Sicily and other Italian |E80 10297] P0205 N80-30B64 areas [AD-A087443] 00220 N80-31859 ENVIRONMENTAL RESEARCH INST. OF MICHIGAN. 1E80-10299] p0192 N8O-30866 Terrain analyst synthesizer station ANN ARBOR. IAD-A087370] p0187 N80-31860 CORNELL UNIV.. ITHACA. N. Y. Synthetic aperture radar imaging of ocean waves - ARMY ENGINEER WATERWAYS EXPERIMENT Cornell University remote sensing program Comparison with wave measurements STATION. VICK8BURG, MISS. [E80-10280] p0227 N80-29823 p0196 A80-S141I COUNCIL ON ENVIRONMENTAL O.UAUTY. Remote sensing procedures for detecting and monitoring Analysis of scanner data for crop inventories WASHINGTON. D.C. various activities regulated by the Mobile District (E80-10308] P0219 N80-30874 [AO-A087584] p0206 N80-31973 The global 2000 report to the president. Entering the An algorithm for estimating crop calendar shifts of spring AUTOMATION INDUSTRIES. INC.. SILVER SPRING. twenty-first century, volume 1 p0228 N80-32295 MD. The global 200O report to the president. Entering the small grains using LANDSAT spectral data Environmental data for sites in the National Solar Data twenty-first century. Volume 2: The technical report JE8O-10314] p0178 N80-32809 Network P0228 N80-32296 [SOLAR/0010-80/02) »O220 N80-31975

B FLORIDA UNIV.. GAINESVILLE. DARTMOUTH COLL. HANOVER. N.H. BRAZIUAN INST. FOR FORESTRY DEVELOPMENT. Satellite temperature monitoring and prediction system An investigation of vegetation and other Earth SAO JOSE DOS CAMPOS. p0211 A80-51943 resource/feature parameters using LANDSAT and other The use of LANDSAT data for evaluation and Florida water resources remote sensing data. 1: LANDSAT. 2: Remote sensing characterization of deforested pastureland and reforested (E80-10246) p0205 N80 30829 of volcanic emissions areas in Brazil [E80-10312] p022S N8O-32807 Florida water resources. Executive summary (INPE-I794-RPE/186] pO179 N80-32836 (E80-10247) PO205 N80-30830 BUREAU OF MINES. DENVER. COLO. DEFENSE MAPPING AGENCY. WASHINGTON. D.C. Development of a method to detect geologic faults and The coordinated federal program for the application of Evaluation of remote sensing techniques on selected other linear features from LANDSAT images space technology to crustal dynamics and earthquake forest sites in Florida |PB80 189665] p0193 N80-32844 research [E80-10296] P0177 N80-32805 BUREAU OF MINES AND GEOLOGY. MOSCOW. (NASA-TM-822151 pO!87 N8O-33999 FREIBURG UNIV. (WEST GERMANY). IDAHO. DEFENSE MAPPING AGENCY AEROSPACE CENTER. The influence of topographic structures on night-time Additions and corrections to the bibliography of geologic ST. LOUIS. MO. surface temperatures: Evaluation of a satellite thermal studies. Columbia Plateau (Columbia River Basalt) and Digital image technology 1980: Emerging production image of the upper Rhine plain and the surrounding adjacent areas, in Idaho. 1980 applications highlands [RHO-BWI-C-68] p0192 N8O-32013 [AD-A085163] p0214 N80-28851 [E80-10228] p0179 N80-33829 C-1 GEOLOGICAL SURVEY, DENVER, COLO. CORPORATE SOURCE INDEX

INSTITUTO DE PESQUISAS ESPACIAIS. SAO PAULO As-built design specification for the Yield Estimation (BRAZIL). Subsystem (YES) operational Robertson phonological GEOLOGICAL SURVEY. DENVER. COLO. Geochemical balance of the Salgado River basin model Geologic application of thermal-inertia mapping from [INPE-1849-RPE/206] p0206 N80-32834 [E80-10170] P0212 N80-28771 satellite INTERNATIONAL COUNCIL OF SCIENTIFIC UNIONS, As-built design specification for the 1-100 tape read [E80-10230] p0192 N80-29799 ROME (ITALY). consolidation program (FULOI) GEOLOGICAL SURVEY. RESTON, VA. The 7th WMO Executive Com mine Inter-Government [E80-10171] P0213 N80-28772 Synthetic aperture radar imaging of ocean waves - Panel Session on the First GARP Global Experiment As-built design specification for the Brazil and China Comparison with wave measurements [GARP-SPEC-35] p0219 N80-31012 monthly data bases pOI96 A80-514M (E80-10172) P0213 N80-28773 US Geological Survey sources of photographs and images Final design specification for EOD-LARSYS/siatist.cs and of biosphere reserves taken from spacecraft and aircraft, data transformation processors modification San Joaquin Experimental Range [E80-10173] p0213 N80-28774 [PB80-169295] p0192 NBO-28852 As-built design specification for EOD-LARSYS procedure GEOLOGICAL SURVEY. TALLAHASSEE. FLA. JET PROPULSION LAB.. CALIFORNIA INST. OF 1 Evaluation of remote hydro-logic data-acquisition systems, TECH.. PASADENA. [E80-10174] P0213 N80-28775 west-central Florida Substorm warnings - An ISEE-3 real time data system As-built design specification for LACIE phase 3 automatic [PB80-176951) p0205 N80-29832 p02O9 A80-46225 status and tracking system GEOLOGICAL SURVEY. WASHINGTON. O. C. Spaceborne imaging radar - Geologic and oceanographic (£80-10175] p0213 N80-28776 The coordinated federal program for the application of applications p0223 A80-47480 Design specification for LARSYS procedure 1 follow-on space technology to crustal dynamics and earthquake Uranium - Spectral discrimination of alteration [E80-10176J P0213 N80-28777 research phenomena in sediments p0189 A80-49524 Design specification for EOO-LARSYS/statistics and data transformation processors modification [NASA-TM-82215] p0187 N80-33999 Radar observations of wave transformations in the vicinity [E80-10177] 0213 N80-28778 GEORGIA INST. OF TECH., ATLANTA. of islands p0196 A80-51408 P A 94/183 GHz multichannel radiometer for Convair Program documentation: Final design specification for Comparisons between wave directional spectra from SAR dot data base update deck conversion program (DQTDEC) flights and pressure sensor arrays p0196 A80-514O9 (NASA-CR-160032] p0225 N80-33047 [E80-10178] p0213 N80-28779 Synthetic aperture radar imaging of ocean waves - Final design specification for ERIPS fields data base deck Comparison with wave measurements conversion p0196 A80-51411 [E80-10179] P0213 N80-28780 H Modulation of sea surface radar cross section by surface Detailed design specification for the Yield Estimation stress - Wind speed and temperature effects across the Subsystem Data Management System (YESOAMS) HOFSTRA UNIV., HEMPSTEAD. N. Y. Gulf Stream p0196 A80-51415 [E80-10180] p0213 N80-28781 Modulation of sea surface radar cross section by surface Satellite Emission Radio Interferometric Earth Surveying Modifications to the CLASY program stress - Wind speed and temperature effects across the [E80-10181] p0213 N80-28782 Gulf Stream p0196 A80-51415 (SERIES) p0186 N80-28838 Satellite remote sensing facility for oceanograhic Program documentations: MARQTY1.FTN. applications CAMDATA1.FTN [NASA-CR-163363] p0197 N80-28847 [E80-10182] p0213 N80-28783 Design specification for dot data base update deck Geologic application of thermal inertia imaging using conversion program (DOTDEC) HCMM data IBM FEDERAL SYSTEMS CENTER. GA1THER8BURG, [E80-10183] p0213 N80-28784 [E80-10229] P0192 N80-29798 MD. As-built design specification for Production Film Geologic application of thermal inertia imaging using Interactive digital imagd processing investigation, phase Converter Gains And Biases program (PFCGAB) HCMM data 2 [E80-10184] 0213 N80-2878S (£80-10231) p0192 N80-2980O P [AD-A087518] p0222 N80-33848 LACIE/ phase 3 Adjustable Crop Calendar (A CO Mapping urbanized area expansion through digital image INSTITUTE FOR LAND AND WATER MANAGEMENT configuration control procedures manual processing of LANDSAT and conventional data RESEARCH, WAGENINGCN (NETHERLANDS), [E80-10186] 0213 N80-28786 Defining relationships between surface characteristics [E80-10301] p0182 N80-30868 P Recommendations and comments concerning and actual evaporation rate Seasat. Volume 2: Flight systems documentation on the microwave active spectrometer [E80-10335] P0207 N80-33834 [NASA-CR-163571] p0199 N80-32829 INSTITUTO DE PESQUISAS ESPACIAIS. SAO JOSE systems JOHNS HOPKINS UNIV., BALTIMORE. MD. [E80-10187J pO213 N80-28787 DOS CAMPOS (BRAZIL). A watershed information system p0207 N80-33825 Functional design specification for enhancement of the Classification of multispectral images according to JOINT RESEARCH CENTRE OF THE EUROPEAN crosswise textural characteristics automatic status and tracking system software COMMUNITIES. ISPRA (ITALY). [E80-10190] p0214 N80-28788 [E80-102571 P0218 N80-30840 HCMM satellite follow-on investigation no. 025: Soil A discriminant approach to parameter estimation in the Evaluating the reforested area for the municipality of Buri moisture and heat budget evaluation in selected European linear model with unknown variance-covariance matrix by automatic analysis of LAND SAT imagery zones of agricultural and environmental interest {TELLUS [E80-10192] 0214 N80-28789 [E80-10258) p0176 N80-30841 Project} P Study of the atmospheric effects on the radiation detected LACIE field measurements data acquisition summary [E80-10332] P0178 N80-32823 by the sensor aboard orbiting platforms report. 1975 - 1976 crop year Further developments of the TELL-US model. 1: An (ERTS/LANDSAT) (E80-10193J p0214 N80-28790 [E80-10259] 0218 N80-30842 implicit finite difference scheme for the numerical P approximation of the ground heat flux. 2: A simple User's guide: Large Area Crop Inventory Experiment Use of LANDSAT data for estimating the area of sugar algorithm for estimating the actual and potential (LACIE) phase 3 POP 11/45 automatic status and tracking cane in the state of Sao Paulo evapotranspiration of vegetated surfaces from one remotely system [E80-10260J P0177 N80-30843 sensed surface temperature near the daily maximum [E80-10194] p0214 N80-28791 Utilization of LANDSAT data to inventory the sugar cane [E80-10333] p0178 N80-32824 A statistical test procedure for detecting multiple outliers in the state of Sao Paulo in a data set [E80-10261] p0177 N80-30844 [E80-10195] p0214 N80-28792 Collection, processing, and distribution of remote sensing As-built design specification of the CAMS/CAS interface data from Brazilian Receiving Station K tape report generation program for LACIE 6A [INPE-1784-RPE/156] p0221 N80-32832 | E80-10196| p0214 N80-28793 Planning and execution of a photographic mission over KANSAS STATE UNIV., MANHATTAN. As-built design for enhancement of the automatic status a wheat producing region in Rio Grande do Sul Brazil Use of soil moisture information in yield models and tracking system software (INPE-1793-RPE/165] p0179 N80-32833 [E80-10302] p0177 N80-30869 [E80-10197] p0214 N80-28794 Characterization of Cerrado vegetation using KANSAS UNIV.. LAWRENCE. As-built design specification for historical daily data bases automatically classified LANDSAT MSS data Radar backscatter study of sea ice for testing advanced models [AD-A087032] p0198 N80-30618 IINPE-1790-RPE/162] P0179 N80-32835 IE80-10198] p0214 N80-28795 The use of LANDSAT data for evaluation and KANSAS UNIV. CENTER FOR RESEARCH. INC., Design specification for LARSYS procedure 1 characterization of deforested pasturetand and reforested LAWRENCE. |E80-10199) p0214 N80-28796 Vegetation clutter model p0173 A80-44262 areas in Brazil As-built design specification for PDP 11/45 accuracy [INPE-1794-RPE/166J p0179 N80-32836 The application of remote sensing to resource assessment system Remote sensing applied to the prospecting of geothermal management and environmental quality programs in [E80-10200] p0214 N80-28797 Kansas anomaly in Caldas Novas County, State of Goias Brazil User documentation EOD-LARSYS Earth Observations [INPE-1792-RPE/1641 pQ193 N80-32837 [E80-10337] P0183 N80-32825 Division version of the Laboratory for Applications of Remote Platform antennas for data collection KANSAS WATER RESOURCES RESEARCH INST., sensing system IINPE-1820-RPE/186] p0221 N80-33647 MANHATTAN. |E80-10188) p0214 N30-29780 Simulation of reservoir and lake sedimentation The use of radiation temperature to detect water-stress As-built design specification for Metro data edit [PB80-182801] pO206 N80-31867 in sugarcane crop program [INPE-1767-TDL/028J pO179 N80-33839 [E80-10201] P0214 N80-29781 A method for edge detection in images of natural As-built design specification of the CAM/CAS interface resources tape report generation program for LACIE 7 [INPE-1768-RPE/154] P0222 N80-33840 [E80-10203] D0214 N80-29782 Thermal balance of soils LANCASTER UNIV. (ENGLAND). As-built design specification of the CAMS/CAS interface Satellite monitoring of sea surface pollution [INPE-1859-RPE/210] pO180 N80-33841 tape report generation program [E80-10329] p0199 N80-32820 [E80-102O4] 0215 N80-29783 Contributions of LANDSAT imagery to the geological LESCHACK ASSOCIATES LTD.. SILVER SPRING, MD. P mapping of the Rio do Grande Sul Shield Correlation of under-ice roughness with satellite and Design specification for secondary error sources [INPE-1838-RPE/199) p0193 N80-33842 airborne thermal infrared data multi-temporal Bayes classifier Digital filtering of LANDSAT images as a visual aid [AD-A085512] p0198 N8O-30880 (E80-10205] p0215 N80-29784 technique in geological photointerpretation LOCKHEED ELECTRONICS CO.. HOUSTON. TEX. Design specification for equiprobable blocks density (INPE-1823-RPE/189) p0193 N80-33843 As-built specification for CCit6A processor program estimatory/classifier/dot selector Coastal currents: Study of a model applied to the coast [E80-10168] P0212 N80-28769 [E80-10206] P0215 N80-29785 of Rio Grande do Sul latitude 29 deg south to 35 deg As-built design specification for LACIE formatted dot As-built design specification for the CAMS image-100 south cards in EOD-LARSYS hybrid system. Volume 1: System design [INPE-1841-RPE/201J p0200 N80-33844 [E80 10169| p0212 N80-28770 [E80-10207] p0215 N80-29786 C-2 CORPORATE SOURCE INDEX NATIONAL AERONAUTICS AND SPACE ADMINISTRATION. GODDARD SPACE

As-built design specification for the CAMS image-100 Implementation specification document for merge of M hybrid system. Volume 2: Detailed flow charts and program BTREAD, phase 1. and phase 2 accuracy assessment listings programs [E80-10208] p0215 N80-29787 (E80-10285] p0218 N80-30853 MARTIN MARIETTA AEROSPACE, DENVER, COLO. The applicability of remote sensing to Earth biological As-built specification for CCIT7 processor program Design specification for ERIPS fields data base deck problems. Part 2: The potential of remote sensing in |E80-10209) p0215 N80-29788 conversion pest management Final design specification for LARSYS (E80-10286) p0218 N80-30854 (NASA-CR-163589] p0178 N80-32830 modification/Fisher F-distribution thresholding Draft user procedures: Software wheat yield MARYLAND UNIV.. COLLEGE PARK. [E80-10210] p0215 N80-29789 predictions/foreign equivalent test Fluorescence lidar p0181 A80-48908 [E80-10287] p0218 N80-30855 Final design specification for EOD-LARSYS/data MIAMI UNIV.. CORAL GABLES. FLA. transformation processor modification As-built design specification for the CM AS image-100 Nimbus-7 coastal zone color scanner - System description [E80-10211] p0215 N80-29790 hybrid system. Volume 2: Detailed Mow charts and program and initial imagery p0197 A80-51490 Final design specification tot EOD-LARSYS procedure listings, part \ Phytoplankton pigments from the Nimbus-7 Coastal Zone 1 follow-on [E80-10289] p0218 N80-30857 Color Scanner - Comparisons with surface measurements (E80-10213) p0215 N80-29791 As-built design specification for the CAMS image-10O p0197 A80-51491 Program documentation: As-built design specification hybrid system. Volume 3: Utilities and shared MIAMI UNIV.. FLA. for Generalized Linear Model Analysis Of Variance program subroutines Investigations of medium wavelength magnetic (GLMAOV) (E80-10290) p0218 N80-30858 anomalies in the eastern Pacific using Magsat data [E80-10214] p0215 N80-29792 As-built design specification of the CAMS/CAS interface [E80-10334] p0199 N80-33833 Design specification for LAClE formatted dot cards in tape report generation program for LACIE 8 MINNESOTA UNIV., DULUTH. EOD-LARSYS (E80-10306] p0219 N80-30872 Remote sensing of paniculate concentrations in water [E80-10215] p0215 N80-29793 As-built specification for CLASSY conversion p0201 A80-46450 As-built design specification for Boundary Detection And [E80-10307] P0219 N80-30873 MISSISSIPPI STATE UNIV.. MISSISSIPPI STATE. Registration Program (BDARP1) Application of remote sensing to state and regional Seasat-A land applications data processing plan [E80-10217] p0215 N80-29794 problems [E80-10317] p0221 N80-32810 As-built design specification for the Yield Estimation [E80-10338] pO!83 N80-32826 Subsystem (YES) monthly yield data base and supporting As-built design specification for CCIT8 processor MISSOURI UNIV. -COLUMBIA. programs program Microwave radiometer measurements of soil moisture [E80-10218] p0215 N80-29795 [E80-10323] p0221 N80-32814 content p0176 A80-53890 Program documentation: MARQUIS2.FTN As-built design specification for a list processing [E80-10220] p0215 N80-29796 MONTANA UNIV., MISSOULA. system Grizzly bear habitat analysis. Section 3: LANDSAT-1 Operational changes for the Kansas State University [E80-10325] p0221 N80-32816 multispectral imagery and computer analysis of grizzly bear wheat model habitat (E80-10223) P0176 N80-29797 LOCKHEED ELECTRONICS CO., INC., LAS VEGAS, Design specification (or a merging program tot formatted NEV. [NASA-CR-163382] p0177 N80-30867 image data files Multispectral techniques for remote monitoring of (E80-10234] p0216 N80-29803 sediment in water: A feasibility investigation Project development plan for the LAND SAT Imagery [PB80-198500] p0207 N80-33849 N Verification and Extraction System (LIVES) LOCKHEED ENGINEERING AND MANAGEMENT [E80-10238] p0216 N80-29807 SERVICES CO.. INC.. HOUSTON, TEX. NATIONAL AERONAUTIC ASSOCIATION, Test plan for the LA NO SAT Imagery Verification and User manual for the Earth observations Division R and WASHINGTON. D. C. Extraction System (LIVES) D to OLPARS dot data conversion NASA plan for international crustal dynamics studies [E80-10239] p0216 N80-29808 (E80-10236] p0216 N80-29805 [NASA-TM-82214] p0187 N80-34000 Preliminary design specification for the LANDSAT Sampling of rectangular regions NATIONAL AERONAUTICS AND SPACE Imagery Verification and Extraction System {LIVES) [E80-10272] p0176 N80-29819 ADMINISTRATION. WASHINGTON, D. C. [E80-10240] P0216 N80-29809 A review of future remote sensing satellite capabilities As-built design specification for areas added to the Some approaches to optimal cluster labeling of aerospace p0174 A80-49139 monthly bases of Texas, Minnesota and USSR imagery NASA oceanic processes program: Status report, fiscal (£80-10241] p0216 N80-29810 [E80-10273] P0216 N80-29820 year 1980 As-built design specification for the India monthly data Composition and assembly of a spectral data base for [NASA-TM-80233] p0198 N80-29005 base corn and soybean multicrop segments A description of a system of programs for mathematically [E80-10264] p0216 N80-2981 1 [E80-10281] p0176 N80-29824 processing on unified series (YeS) computers photographic Design specification for a list processing system High Density Tape Reformatting System/LANDSAT images of the Earth taken from spacecraft [E80-10265] P0216 N80-29812 imagery verification and Extraction System (HDTRS/ LIVES) [NASA-TM-76208] p0220 N80-31856 EOD systems and facilities workload requirements throughput analysis Raduga experiment: Multizonal photographing the Earth forecast [E80-10248] p0217 N80-30831 from the Soyuz-22 spacecraft [E80-10277J P0176 N80-29821 [NASA-TM-76234] p0225 N80-31857 As-buitt design specification for Boundary Detection And The integrated analysis procedure (or identification of The United States space observation policy Registration Program (BDARP1) spring small grains and barley [NASA-TM-76373] p0228 N80-33425 [E80-10216] p0217 N80-30824 [E80-10274] p0177 N80-30847 Private sector involvement in civil space remote sensing. Detailed design specification for the automatic status Statistical Outlier Detection (SOD): A computer program Volume 1: Report and'tracking system modifications for LACIE procedure 1 for detecting outliers in data [NASA-TM-82206] p0228 N80-33845 [E80-10243) p0217 N80-30826 [E80-10275] p0218 N80-30848 Private sector involvement in civil space remote sensing. Preliminary user guide for the program GTDDM (Ground Estimation of probabilities of label imperfections and Volume 2: Appendices Truth Dot Dump) correction of mislabels [NASA-TM-82207] p0228 N80-33846 [E80-10244] p0217 N80-30827 (E80-10288] p0218 N80-30856 The coordinated federal program for the application of Design specification for color coded spectral plots space technology to crustal dynamics and earthquake [E80-10245] p0217 N80-30828 A labeling technology for LANDSAT imagery research Implementation specification for Large Area Crop [E80-10293] p0219 N80-30861 [NASA-TM-82215] p0187 N80-33999 Inventory Experiment {LACIE} phase 3 automatic status Maximal analysis labeling procedure (preliminary) NATIONAL AERONAUTICS AND SPACE and tracking system [E80-10294] p0219 N80-30862 ADMINISTRATION. AMES RESEARCH CENTER. (E80-10249] p0217 N80-30832 An exploratory study to develop a cluster-based area MOFFETT FIELD. CAUF. As-built design specification for scatter plots for direct estimation procedure Infrared-temperature variability in a large agricultural wheat [E80-10295] p0177 N80-30863 field [E80-10250] p0217 N80-30833 [E80-10331) p0178 N80-32822 Classification with spectral-spatial-temporal archetypes Evaluating the use of analyst labels in maximum likelihood NATIONAL AERONAUTICS AND SPACE [E80-10251] p0217 N80-30834 cluster proportion estimation ADMINISTRATION. GODDARD SPACE FLIGHT As-built design specification for field statistics [E80-10303] p0219 N80-30870 CENTER. GREENBELT. MD. (FIELDSTAT) Evaluation of Bayesian sequential proportion estimation Ocean chlorophyll studies from a U-2 aircraft platform [E80-10252] p0217 N80-30835 using analyst labels p0195 A80-45004 As-built design specification for CLASY program (E80-10304] p0219 N80-30871 Simulation of solar radiation absorption in vegetation modification High Density Tape Reformatting System/LANDSAT canopies p0173 A80-46451 (E80-10253) p0217 N80-30836 Imagery Verification and Extraction System (HDTRS/LIVES) The Landsat-D/Global Positioning System experiment Detail design specification for enhancement of the production test throughput analysis [AIAA PAPER 80-1678) pO209 A80-46522 automatic status and tracking system software [E80-10319] pO221 N80-32811 Unsupervised classification of MSS Landsat data for [E80-10254] pO217 N80-30837 mapping spatially complex vegetation pO173 A80-47744 Design specification for merge of BTREAD. Phase 1 and As-built design specification for equiprobability ellipses Development of a pulsed 9.5 micron lidar for regional Phase 2 accuracy assessment programs representation of CLASSY clusters scale O3 measurement pO181 A80-48909 |E80 10255) p0217 N80-30838 [E80-10320] p0221 N80-32812 The potential of Landsat-3 RBV images for thematic User's guide Large Area OUP Inventory Experiment Operation plan for the High Density Tape/LANDSAT mapping p0210 A80-50894 (LACIE) phase 3 POP 11/45 automatic status and tracking Imagery Verification and Extraction System (HDT/UVES) Magsat - A new satellite to survey the earth's magnetic system data processing support field p0223 A80-51233 (E80-10256] P0217 N80-30839 (E80-10322) p0221 N80-32813 Remote sensing applications in hydrometeorology As-buitt design specification for the Utilization of spectral-spatial information in the pO202 A80-51283 Patterson-Pin-Thadani minimum loss classifier classification of imagery data The utility of Landsat-D for water-resources studies [E80-10262] P0218 N80-3O845 (E80-10321] p0222 N80-33832 P0205 A80-51309 As-buitt design specification for phase 3 model areas Nimbus-7 coastal zone color scanner - System description added to the monthly data base d* the US LOS ALAMOS SCIENTIFIC LAB.. N. MEX. and initial imagery pO197 ABO-51490 [E80 10263) p0218 N80 30846 Substorm warnings - An ISEE-3 real time data system Phytoplankton pigments from the Nimbus-7 Coastal Zone User's guide for the Yield Estimation Subsystem Data p0209 A80-46225 Color Scanner - Comparisons with surface measurements Management System (YE SO AM 5} LOUISIANA STATE UNIV. AND A&M COLL.. BATON p0197 A8O-51491 [E 80 10276] pO218 N80-30849 ROUGE. Microwave radiometric determination of oceanographic Operator's guide tar LACIE phase 3 automatic status A quantitative evaluation of LANDSAT for monitoring and meteorological parameters p0223 A8O-51579 and tracking system suspended sediments in a fluvial channel Polar nephelonteter for atmospheric paniculate studies [E80-10284] pO218 N80-30852 p0206 NSO-33823 p0182 A80-52346 C-3 NATIONAL AERONAUTICS AND SPACE ADMINISTRATION. LYNDON B. CORPORATE SOURCE INDEX

NASA geodetic applications of the Mark 3 VLBI NATIONAL OCEANIC AND ATMOSPHERIC REMOTE SENSING INST.. BROOKING8. S. DAK. system p0186 N80-28841 ADMINISTRATION. WASHINGTON, D. C. HCMM energy budget data as a model input for assessing Remote sensing of total dry-matter accumulation in The coordinated federal program for the application of regions of high potential groundwater pollution winter wheat space technology to crustal dynamics and earthquake [E80-10310] p0206 N80-32806 (E80-I0235) P0176 N80-29804 research ROCKWELL INTERNATIONAL CORP.. HIGHLAND. Use of LANDSAT data for river and lake ice engineering (NASA-TM-82215) p0187 N80-33999 WASH. studies The Federal Plan for Meteorological Services and LANDSAT data as a basis for regional environmental [E80-10237) P0205 N80-298Q6 Supporting Research, fiscal year 1981 assessment within the Columbia Plateau Thematic mapper studies band correlation analysis [PB80-199482] p0228 N80-34041 [RHO-BWI-SA-43] p0183 N80-31862 [NASA-TM-80716] p0216 N80-29825 NATIONAL PHYSICAL RESEARCH LAB., PRETORIA ROCKY MOUNTAIN FOREST AND RANGE The contribution of the diffuse light component to the (SOUTH AFRICA). EXPERIMENT STATION. FORT COLLINS. COLO. topographic effect on remotely sensed data Bonne's projection of Meteosat images Remote sensing of wildland resources: A state-of-the-art JNASA-TM-80728] p0186 N80-30876 ICSIR-SR-FIS-201) p0222 N80-33837 review [PB80-184809] p0177 N80-30882 A hill-sliding strategy for initialization of Gaussian clusters NATIONAL SCIENCE FOUNDATION. WASHINGTON. ROYAL AIRCRAFT ESTABLISHMENT, in the multidimensional space D. C. FARNBOROUGH (ENGLAND). [NASA-TM-80721] p0219 N80-31072 The coordinated federal program for the application of A study of LANDSAT multispectral scanner data tapes space technology to crustal dynamics and earthquake Report on active and planned spacecraft and (RAE-TR-80018] p0220 N80-31864 research experiments ROYAL AUSTRALIAN NAVY RESEARCH LAB.. [NASA-TM-82215] p0187 N80-33999 [NASA-TM-80905] p0227 N80-31420 EOGECUFF Using LANDSAT digital data for estimating green NATIONAL TECHNICAL INFORMATION SERVICE. Heat capacity mapping mission project HCM-051 biomass SPRINGFIELD. VA. (E80-10278) p0198 N80-30850 [E80-10328] P0178 N80-328I9 Remote sensing of the ocean: Physical, chemical, and On extracting brightness temperature maps from geologic properties. Citations from the NTIS data base scanning radiometer data [PB80-811235] p0198 N80-30884 (NASA-TM-819891 p0221 N80-32838 Remote sensing of the ocean: Dynamics. Citations from NATIONAL AERONAUTICS AND SPACE the NTIS data base [PB80-811243] p0199 N80-30885 SCIENCE SYSTEMS AND APPLICATIONS. INC.. ADMINISTRATION. LYNDON B. JOHNSON SPACE LANHAM. MD. CENTER. HOUSTON. TEX. Ocean wave sensing. Citations from the NTIS data Ocean chlorophyll studies from a U-2 aircraft platform AgRISTARS cropping practices and crop characteristics base p0195 A80-450O4 based on 1979 ESCS observations [PB80-812878] p0200 N80-34053 SCRIPPS INSTITUTION OF OCEANOGRAPHY. SAN [E80-10292] p0177 N80-30860 NAVAL RESEARCH LAB., WASHINQTON. D. C. DIEGO. CAUF. NATIONAL AERONAUTICS AND SPACE Passive 19.3 GHz radiometer and aerosol data from the Nimbus-7 coastal zone color scanner - System description ADMINISTRATION. JOHN F. KENNEDY SPACE North Sea during MARSEN I. September • October 1979 and initial imagery p0197 A80-51490 CENTER. COCOA BEACH. FLA. [AD-A088229] p0199 N80-33068 SKIDAWAY INST. OF OCEANOGRAPHY. SAVANNAH. The environmental program at Kennedy Space Center - On the inference of oceanic currents or eddies by GA. Baseline to monitoring p0181 A80-51935 spaceborne altimetry through the dynamic method for the Ocean chlorophyll studies from a U-2 aircraft platform Satellite temperature monitoring and prediction system determination of three dimensional density (temperature) p0195 A80-45004 P0211 A80-51943 field SOUTH DAKOTA STATE UNIV.. BROOKINGS. Aerial color infrared photography applications to (AD-A088082) P0199 N80-33076 Impact of cell size on inventory and mapping errors in citriculture p01 75 A80-51944 NEBRASKA UNIV.. LINCOLN. a cellular geographic information system (E80-10315] p0221 N80-33831 NATIONAL AERONAUTICS AND SPACE Identifying and locating land irrigated by center-pivot STANFORD UNIV.. CAUF. ADMINISTRATION. LANGLEY RESEARCH CENTER. irrigation systems using satellite imagery Radar observations of wave transformations in the vicinity HAMPTON. VA. p0174 A80-49140 of islands p0196 A80-51408 Microwave radiometric aircraft observations of the NEW SOUTH WALES UNIV., SYDNEY (AUSTRALIA). Geological and geothermal data use investigations for Fabry-Perot interference fringes of an ice-water system Crustal deformation at very long baseline interferometry application Explorer mission-A (heat capacity mapping p0195 A80-44232 sites due to seasonal air-mass and ground water variations p0186 N80-28809 mission) Comparison of surface wind stress measurements - [E80-10279] p0192 N80-29822 NORTH CAROLINA UNIV. AT CHAPEL HILL. Airborne radar scatterometer versus sonic anemometer Soil moisture in relation to geologic structure and The Gulf Stream Meanders experiment: Current meter, p0196 A80-51407 lithology. northern California atmospheric, and sea level data report for the mooring The development of a stepped frequency microwave [E80-10298] p0192 N80-30865 radiometer and its application to remote sensing of the period Earth [AO-A088069) p0199 N80-33077 [NASA-TM-81847] p0224 N80-28637 Turbid water measurements of remote sensing penetration depth at visible and near-infrared wavelength TENNESSEE UNIV. SPACE INST.. TULLAHOMA. [NASA-TM-81843] p0207 N80-33927 Digital LANDSAT data analysis of Tennessee tn situ ozone data for evaluation of the laser absorption OHIO STATE UNIV.. COLUMBUS. [E80-10130] p0212 N80-28768 spectrometer ozone remote sensor: 1979 southeastern Improvement of the Earth's gravity field from terrestrial TEXAS A&M UNIV.. COLLEGE STATION. Virginia urban plume study summer field program and satellite data Nimbus-7 coastal zone color scanner - System description (NASA-TM-81831] p0183 N80-33928 [E80-10271] p0186 N8029818 and initial imagery p0197 A80-51490 Assessment of the role of remote sensing in the study OLD DOMINION UNIV.. NORFOLK. VA. Microwave radiometer measurements of soil moisture of inland and coastal waters The development of a stepped frequency microwave content pOl76 A80-53890 (NASA-TM-81881) p0200 N80-34048 radiometer and its application to remote sensing of the Development and evaluation of scatterometer data NATIONAL AERONAUTICS AND SPACE Earth ' p0224 N80-30822 processing algorithms ADMINISTRATION. LEWIS RESEARCH CENTER. [E80-10266] p0216 N80-29813 CLEVELAND. OHIO. Altimetry data over trenches and island-arcs and Quantitative interpretation of Great Lakes remote sensing convection in the mantle data p0201 A80-45005 [NASA-CR-163516] P0199 N80-320SO NATIONAL AERONAUTICS AND SPACE The Gulf Stream Meanders experiment: Current meter, ADMINISTRATION. WALLOPS FLIGHT CENTER. PAN AMERICAN UNIV.. EDINBURG. TEX. atmospheric, and sea level data report for the mooring WALLOPS ISLAND. VA. Light reflectance, transmittance. and utilization within a period Oil film thickness measurement using airborne vegetative canopy JAD-A088069] p0199 N80-33077 laser-induced water Raman backscatter [E80-10282] P0177 N80-30851 Development of a soil moisture model for use with passive P0197 A80-52331 PHOENIX CORP.. MCLEAN, VA. microwave remote sensors p0179 N80-33826 NATIONAL ENVIRONMENTAL SATELLITE SERVICE. Improved definition of crustal anomalies for Magsat WASHINGTON. D. C. data Modulation of sea surface radar cross section by surface [E80-10270] p0192 N80-29817 stress - Wind speed and temperature effects across the PURDUE UNIV.. LAFAYETTE. IND. u Gulf Stream p0196 A80-51415 Pixel labeling by supervised probabilistic relaxation UNIVERSITY OF CENTRAL FLORIDA. ORLANDO. Nimbus-7 coastal zone color scanner - System description [E80-10267] p0216 N80-29814 A continuation of base-line studies for environmentally end initial imagery p0197 A80-51490 Remote sensing research studies [E80-10117] p0176 N80-30823 monitoring space transportation systems at John F. Kennedy Phytoplankton pigments from the Nimbus-7 Coastal Zone Space Center. Volume 3. part 1: Ichthyologies! survey Forest resource information system, phase 3 Color Scanner - Comparisons with surface measurements of lagoonal waters [E80-10242] p0176 N80-30825 P0197 A80-5I491 [NASA-CR-163122-VOL-3-PT-1] p0197 N80-28939 A multiprocessor implementation of a contextual image Applications of HCMM data to soil moisture snow and A continuation of base-line studies for environmentally processing algorithm estuarine current studies monitoring space transportation systems at John F. Kennedy [E80-10313] p0221 N80-32808 [E80-10269] p0205 N80-29816 Space Center. Volume 3. part 2: Ichthyological studies, Satellite activities of NOAA. 1979 p0220 N80-31429 A multispectrel data simulation technique sailfin molly reproduction study (E80-I0311] p0221 N80-33830 NATIONAL MARINE FISHERIES SERVICE. BAY SAINT [NASA-CR-163122-VOL-3-PT-2] pO198 N80-28940 LOUIS. MISS. A model of plant canopy polarization response A continuation of base-line studies for environmentally Comparison of surface wind stress measurements - [E80-10336] p0179 N80-33835 monitoring Space Transportation Systems (STS) at John Airborne radar scatterometer versus sonic anemometer F. Kennedy Space Center. Volume 4: Threatened and p0196 A80-51407 endangered species of the Kennedy Space Center. Part NATIONAL OCEANIC AND ATMOSPHERIC 1: Marine turtle studies ADMINISTRATION. MIAMI. FLA. (NASA-CR-163122-VOL-4-PT-1] p0183 N80-31969 Synthetic aperture radar imaging of ocean waves - RAND CORP.. SANTA MONICA. CAUF. A continuation of base-line studies for environmentally Comparison wrth wave measurements Anomalous snowfall caused by natural-draft cooling monitoring Space Transportation Systems (STS) at John P0196 A80-51411 towers F. Kennedy Space Center. Volume 4: Threatened and NATIONAL OCEANIC AND ATMOSPHERIC IRAND/N-1479-DOE] p0206 N80-32024 endangered species of the Kennedy Space Center. Pan ADMINISTRATION. SEATTLE. WASH. READING UNIV. (ENGLAND). 2: Threatened and endangered birds and other threatened Nimbus-7 coastal zone color scanner - System description The potential of Landsat-3 RBV images for thematic and endangered forms and initial imagery p0197 A80-51490 mapping p0210 A80-50894 | NASA-CR-163122-VOU-4-PT-2J p0183 N80-31970 C-4 CORPORATE SOURCE INDEX ZURICH UNIV. (SWITZERLAND). V

VIRGINIA DEPT. OF HIGHWAYS AND TRANSPORTATION. RICHMOND. Aerotriangulation control of large scale photography from small scale photography [PB80-161524] p0224 N80-28853

WASHINGTON UNIV.. ST. LOUIS. MO. Program on stimulating operational private sector use of Earth observation satellite data (E80-102331 p0227 N80-29802 WISCONSIN UNIV. • MADISON. Monitoring the use of riverways with aerial photography: The development, testing, and evaluation of a computer assisted methodology [AD-A086471] p0182 N80-30877 WORLD METEOROLOGICAL ORGANIZATION. GENEVA (SWITZERLAND! The 7th WMO Executive Committe Inter-Government Panel Session on the First GARP Global Experiment (GARP-SPEC-35] p0219 N80-31012

ZENTRALSTELLE FUER GEO-PHOTOGRAMMETRIE UNO FERNERKUNDUNG. MUNICH (WEST GERMANY). Application Explorer Mission-A heat capacity mapping mission (E80-10309] p0219 N80-30875 ZURICH UNIV. (SWITZERLAND). Snow mapping from space platforms P0203 A80-51293

C-5 CONTRACT NUMBER INDEX

Earth Resources/ A Continuing Bibliography (Issue 28) JANUARY 1981

P0217 N80-30831 NAS9-14899 p0177 N80-30869 P0177 N80-30847 Index Listing NAS9- 15200 p0212 N80-28769 P0218 N80-30848 p0212 N80-28770 p0218 N80-30856 P0213 N80-28772 P0219 N80-30861 (J0213 N80-28773 p0219 N80-30862 p0213 N80-28774 P0177 N80-30883 P0213 N80-28775 P0219 N80-30870 p0219 N80-30871 NASW 2800 . . pO038 N80 11532 P0213 N80-28776 _^_ _j_ p0213 N80-28777 p0221 N80-32811 p0221 N80-32812 p0213 N80-28778 | f P0213 N80-28779 P0221 N80-32813 p0213 N80-28780 P0221 N80-32814 CONTRACT PAGE ACCESSION P0221 N80-32816 P0213 N80-28781 NUMBER NUMBER NUMBER P0213 N80-28782 g0222 N80-33832 p0213 N80-28783 NAS9-15918 P0178 N80-32830 p0213 N80-28784 NAS10-8988 p0197 N80-28939 p0198 N80-28940 Listings in this index are arranged alphanumeri- p0213 N80-28785 P0213 N80-28786 P0183 N80-31969 cally by contract number. Under each contract P0213 N80-28787 p0183 N80-31970 P0214 N80-28788 NASI0-9348 P0205 N80-30829 number, the accession numbers denoting docu- P0205 N80- 30830 P0214 N80-28789 ments that have been produced as a result of P0214 N80-28790 NAS10-9466 p0177 N80-32805 NCC5-11 P0199 N80-32050 research done under that contract are arranged P0214 N80-28791 P0214 N80-28792 NCC5-22 P0225 N80-32807 in ascending order with the AIAA accession P0214 N80-28793 NGL-03-OO2-313 p0178 N80-32821 NGL-15-005-112 p0173 A80-4910O numbers appearing first. The accession number P0214 N80-28794 f>0214 N80-28795 NGL-17-OO4-024 p0174 A8O-49142 denotes the number by which the citation is p0214 N80-28796 P0183 N80-32825 NGL-24-005-263 p0201 A80-46450 identified in the abstract section. Preceding the P0214 N80-28797 P0214 N80-29780 NGl-25-001-054 p0183 N80-32826 accession number is the page number on which p0214 N80-29781 NGL-28-OO4-020 p0174 A80-49140 NGL-33-01O-171 p0227 N80-29823 the citation may be found. P0214 N80-29782 P0215 N80-29783 NGL-42-003-007 p022t N80-33831 P0215 N80-29784 NGR-36-008-161 pOIBB N80-29818 NOAA-03-78-801-119 p0195 A80-46095 AF PROJ 6670 p0206 N80-33064 p0215 N80-29785 p0215 N80-29786 NSF DAR-78-16320 p0193 N80-32845 ARPA ORDER 3854 p0216 N80-29828 P0215 N80-29787 NSF OCE-79-06710 p0199 N80-33077 BMFT-MTK-OO57 p0197 A80-53691 P0215 N80-29788 NSG-2207 P0178 N8O-32815 DA PROJ. 4A7.62707-A-855 p0220 N80-31859 P0215 N80-29789 NSG-2377 pO176 N80-29815 . p0187 N80-31860 P0215 N80-29790 NSG-5315 pO181 A80-48908 NSG-7220 P0183 N80-32817 DAAG29-78-G-OO45 p0173 A80-46451 pO215 N80-29791 p0215 N80-29792 NSG-9015 P0177 N80-30851 DAAK70-77-C-0166 p0222 N80-33848 NOO014-75-C-0208 p0182 A80-52346 DACW25-79-C-0008 p0182 N80-30877 p0215 N8029793 P0215 N80-29794 NO0014-75-C-030O p0196 A80-51409 OE-ACO1-79CS-30027 p0220 N80-31975 NOO014-75-C-0356 p0196 A80-51408 DE-ACO2-77RL-01030 p0192 N80-32013 p0215 N80-29795 P0215 N80-29796 NOO014-76-C-0757 p0198 N80-30880 DE-AC03-76EV-01 191 p0206 N80-32024 NCO014-76-C-1105 p0198 N80-30618 DE-AC06-77HL-01030 p0183 H80-31862 p0176 N80-29797 p0218 N80-29803 NOO014-77-C-0354 p0199 N80-33077 DI-14-31-OOO1-4085 p0206 N80-31867 NO0014-77-G-O047 p0195 A80-46315 OOT-FH-1 1-8598 p0189 A80-48975 P0218 N80-29807 P021B N80-29808 OSUHF PROJ. 783210 pO186 N80-29818 EPA-R-805667-01-1 p0201 A80-46450 PROJ. AGRISTARS p0216 N80-29814 EPA-68-03-2153 p0207 N80-33849 p0216 N80-29809 P0176 N80-29819 ESTEC-3569/78-NL-HPISC) pO220 N80-31865 p0216 N80-29810 p0216 N80-29811 P0216 N80-29820 EY-76-C-13-1664 pO192 N80-3O881 P0176 N80-29824 F33615-77-C-1227 .. p0209 A80-44297 P0216 N80-29812 P0176 N80-29821 P0176 N80-30823 JPL-9S4672 p0196 A80-51409 p0177 N80-30847 MOA903-80-C-0108 pO216 N80-29828 P0217 N80-30824 P0217 N80-30826 P0218 N80-30848 NAG5-94 pO199 N80-32050 P0218 N80-30856 NASA ORDER RD-1182 p0199 N80-32820 P0217 N80-30827 p0217 N80-30832 p0177 N80-30880 NASA ORDER S-53876-G p0175 A80-530S6 P0219 N80-30861 NASW-3198 pO220 N80-31856 P0217 N80-30833 p0217 N80-30834 pO219 N80-30862 P0225 N80-31857 P0177 N80-30863 p0228 N80-33425 P0217 N80-30835 pO217 NBO-30836 P0177 N80-30869 NASW-3331 p0227 N80-29802 p0219 N80-30870 NASW-3375 pO224 N80-29801 p0217 N80-30837 P0217 N80-30838 P0219 N80-30871 NAS5-22963 . ... pO197 A80-51490 p0219 N80-30874 P0217 N80-30839 P0197 A80-51491 P0221 N80-32808 NAS5-24206 p0206 N80-32B06 PO218 N80-30845 p0218 N80-30846 P0178 N80-32809 NAS5-24232 P0192 N80-29822 P0178 N80-32818 NAS5-24479 pO192 N80-30865 pO218 N80-30849 pO218 N80-30852 P0221 N80-33830 NAS5-24480 . pO225 N80-33047 P0222 N8O-33832 NAS5-25882 p0192 N80-29817 P0218 N8O-30853 p0218 N80-30855 PROJ. TELLUS pO178 N80-32823 NAS6-2810 p0224 A80-53891 pO178 N80-32824 P0198 N80-29637 P0218 N80-30857 P0218 N80-30858 W05270500 P0199 N8O-33076 NAS7-10O PO209 A80-48225 146-20-1O-07 P0183 N8O-33928 P0219 N80-30872 pO223 A80-47480 146-4O-O1-01 P0198 N80-290O5 PO189 A80-49524 p0219 N80-30873 pO221 N80-32810 PO20O N80-34O48 P0196 A80-51408 506-61-63-O1 PO224 N8O-28637 p0196 A80-51409 NAS9- 15325 pO176 N80-30825 NAS9- 15421 pO173 A80-44262 691-O4-20 P0178 N80-32822 p0196 A80-51415 691-O9-02-01 .„ - pO207 N80-33927 p0186 N80-28838 NAS9-15466 p0216 N80-29814 pO197 N80-28847 pO176 N8O-30823 p0192 N80-29798 p0221 N80 32808 p0192 N80-29800 pO221 N80-33830 P0182 N8O-3O868 NAS9-15476 p0219 N8O-30874 pO199 N80-32829 pO178 N80-32809 NAS833218 p0212 N80-28768 NAS9 158OO oO216 N80-29805 NAS9-122OO p0217 N80-30828 p0218 N80-3O854 pO176 N8O-29819 NAS9-139O4 ... p0176 A80-53890 p0216 N8O-29S20 NAS9-14585 pO178 N80-32818 P0176 N80-29824 D-1 REPORT/ACCESSION NUMBER INDEX

Earth Resources/ A Continuing Bibliography (Issue 28) JANUARY 1981

Typical Report/Accession Number Index Listing

• £80-10261 p0177 N80-30844' 0 ESL-PR-339 p0216 N80-29828 0 NASA MICROFICHE ETL-0221 p0222 N80-33848 0 ETL-0231 p0187 N80-31860 0 £80-10263 p0218 N80-30846* 0 SYMBOL SYMBOL 1 ETL-0232 p0220 N80-31859 0 £80-10264 p02!6 N80-29811*0 E80-10265 p0216 N80-29812* 0 1 E80-10117 p0176 N80-30823* 0 1 1 E80-10130 p0212 N80-2876S* g £80- 10267 p0216 N80-29814* 0 £80-10268 p0176 N80-29815* 0 1 | | £80-10170 p0212 NBO-28771* f £80-10269 pOJOS N80-29816* 0 REPORT PAGE ACCESSION £80-10270 pOl92 N80-29817* 0 £80-10172 P0213 N80-2B773* 0 NUMBER NUMBER NUMBER £80-10271 p0186 N80-29818* 0 £80-10173 p0213 N80-28774* g £80-10272 p0176 N80-29819* g £80-10174 P0213 N80-2B775* 0 £80-10273 p0216 N80-29B20* 0 E8O-10175 p0213 N80-28776* ) E80-10274 pO177 N80-30847* | E80-10176 p0213 NBO-28777* f Listings in this index are arranged alphanumeri- E80-10275 p0218 N80-30848* 0 E80-10177 p0213 N80-28778* 0 £80-10276 p0218 N80-30849* 0 cally by report number. The page number indi- £80-10178 p0213 N80-28779* 0 £80-10277 p0176 N80-29821* 0 cates the page on which the citation is located £80-10179 p0213 N80-28780* 0 £80-10278 p0198 N80-30850* g £80-10180 P0213 N80-28781* g £80-10279 p0192 N80-29822* g The accession number denotes the number by £80-10181 p0213 N80-28782* 0 E80- 10280 p0227 N80-29823* 1 which the citation is identified. An asterisk (*| £80-10182 p0213 N80-28783* 0 £80-10281 p0176 N80-29824* g £80-10183 p0213 N80-28784* g £80-10282 p0177 N80-30851*0 indicates that the item is a NASA report. A £80-10184 p0213 N80-28785* g £80-10284 PO218 N80-30852* 0 pound sign iff) indicates that the item is avail- £80-10186 p0213 N80-28786* 0 £80-10285 p02l8 N80-30853* 0 £80-10187 p0213 N80-28787* g E80- 10286 p0218 N80-30854* 0 able on microfiche. £80-10188 p0214 N80-29780* 0 E80-10287 pO218 N80-30855* f £80-10190 p0214 N80-28788* 0 £80-10288 p0218 N80-30856* 0 E80-10192 pO214 N80-28789* | £80-10289 p02l8 N80-308S7* 0 £80-10193 p0214 N80-28790* 0 £80-10290 p02l8 N80-30858* 0 £80-10194 p0214 N80-2B791* 0 £80-10292 p0177 NBO-30860* 0 A-8283 P0178 N80-32822* g £80-10195 p0214 N80-2B792* j £80- 10293 p0219 N80-30861* 0 £80-10196 p0214 N80-28793* g £80-10294 p0219 N80-30862* 0 E80-10197 p0214 NBO-28794* | AO-A084757 p0206 N80-33064 0 £80-10295 p0177 N80-30863' g AD-A085163 P0214 N80-28851 0 £80-10296 p0177 N80-32805* 0 £80-10199 p0214 N80-28796* g £80- 10297 p0205 N80-30864* 0 AO-A085512 P0198 N80-30880 0 £80-10200 p0214 N80-28797* 0 £80-10298 p0192 N80-30865* 0 AD-A086070 P0216 N80-29828 1 £80-10201 p0214 N80-2978 1 * 0 £80-10299 p0192 N80-30866* 0 AD-A086471 P0182 N80-30877 g £80-10203 p0214 NBO-29782* 0 £80-10300 p0177 N80-30867* g AO-A087032 P0198 N80-30618 0 £80-10204 p0215 N80-29783* f £80- 10301 pO182 N80-30868* 0 AO-A087370 P0187 N80-31860 g £80-10205 p0215 N80-29784* 0 E80-10302 p0177 N80-30869* g AD-A087443 pO220 N80-31859 0 £80-10206 p0215 N80-29785* g £80-10303 p02l9 N80-30870* g AO-A087518 PO222 N80-33848 g £80-10207 p0215 N80-29786* g £80-10304 p02l9 N80-30871* j £80-10208 - p0215 N80-29787' 0 AD-A087584 P02O6 N80-31973 0 £80-10306 P0219 N80-30872* g AD-A088069 p0199 N80-33077 g £80-10209 p0215 N80-29788* 0 E80-I0307 p0219 N80-30873* 0 AO-A088082 p0199 N80-33076 0 £80-10210 p0215 N80-29789* 0 £80- 10308 pO219 N80-30874* 0 E80-10211 P0215 N80-29790* 0 AD-A088229 p0199 N80-33068 0 E80- 10309 P0219 N80-3087S* 0 AD-A089061 P0222 N80-33847 g tftO-^O2^3 pO2^5 NBO-29191* jjf £80-10214 p0215 N80-29792* 0 E8O-10311 pO221 N80-33830* 0 AFGL-ERP-681 p0206 N80-33064 0 E 80- 102 15 p0215 N80-29793* 0 E80-10216 p0217 N80-30824* 0 £80-10313 pO221 N80-32808* 0 AFGL-Tfl-79-0255 p0206 N80-33064 g £80-10217 p0215 N80-29794* 0 £80-10218 pO215 N80-29795*0 £80-10315 p0221 N80-33831* 0 £80-10220 p0215 N80-29796* 0 AIAA PAPER 80-1678 p02O9 A80-46522* 0 £80-10317 p0221 N80-32810* 0 £80-10223 pO176 N80-29797* g £80-10319 p0221 NBO-32811'0 AR-LO-OO425 .. ,. p0219 N80-30861* 0 £80-10228 p0179 N80-33829* 0 £80-10229 p0192 N80-29798* g E80- 10321 pOZ22 N80-33832* 0 AR-10-OO407 p0176 NBO-29824* 0 £80-10230 p0192 N80-29799* 0 £80-10231 p0192 N80-29800* 0 £80-10323 p0221 N80-32814* 0 BM-RI-8413 P0193 N80-32844 0 E80-10232 pO224 N80-29801* 0 £80-10324 p0178 N80-32815* 0 E80-10233 p0227 N80-29802* 0 E8O-10325 pO221 N80-32816* 0 8MFT-F8-W-79-18 p0224 N80-29407 g £80-10234 p0216 N80-29803* » £80-10326 pO183 N80-32817* 0 £80-10235 P0176 N80-298O4* g E80-10327 pO178 N80-32818* 0 BR73767 .. pO220 N80-31884 0 E80-10236 pO216 N80-29805* 0 £80-10237 p0205 N80-29BO6* 0 E8O-10329 pO199 N80-32820* 0 OSE N 190 P0225 N80 31863 0 £80-10238 p0216 N80-29807* 0 E8O-1O239 pO216 N80-29808* 0 £80-10240 p0216 N80-298O9* 0 COM-73-11676 pO199 N80-30885 0 E8O-10241 pO216 N80-29810* 0 £80-10242 P0176 N80-30825* 0 £80-10334 pO199 N80-33833* 0 CONF-800577-1 .. _ pO183 N80-31862 g £80- 10243 P0217 N80-30826* 0 E8O- 10335 pO207 N8O- 33834* 0 E8O-10244 pO217 N80-30827* 0 E8O-10336 , . pO179 N80-33835* 0 CONTRIB-215 PO206 N8O-31867 g E8O- 10245 PO217 N80-30828* 0 £80-10337 pO183 N80-32825* 0 E8O-10246 PO205 N80-30829* 0 E8O-10338 p0183 N8O-32826* 0 CRWC/RSl-TH-331-14 pO19B N8O-30618 g E8O- 10247 PO205 N8O-30830* 0 £80-10248 pO217 N80-30831* t FC-LO-00700 .. pO219 N80-30862* 0 CSIR-SR-FIS-201 pO222 N80-33837 0 E8O- 10249 p0217 N80-30S32* 0 £80-10250 p0217 N80-30833* FC-LO-451 p0177 N8O-30847* 0 D-254 PO225 N8O-31857* 0 E80- 10251 pO217 N80-30834* FC-LO-OO432 pO218 N8O- 30848* 0 E8O-10252 _ p0217 N80-30835* DFVLR-FB-80-03 pO220 N80-31865 0 £80- 10253 pO217 N80- 30836* FCM-80-3 pO228 N8O-34O41 0 ESO-10254 pO217 N80-30837* OGLH PAPER 80-051 PO227 A80-4630O g FHWA/VA-79/1 pO224 N8O-28853 0 £80-10256 pO217 N80-3O839* EPA-6OO/4-80-O19 _ p0207 NSO-33849 0 FR-2-PT-2 _ pO17B N8O-32830* 0

ERIM-1324OO-39-P pO219 N8O-30874* 0 ERIM-13240O-41-T pO178 N8O-328O9* * E8O-10259 _ D021B N80-3O842* E-1 REPORT/ACCESSION NUMBER INDEX

GARP-SPEC-35 P0219 N80-31012 ft JSC- 14546 p0217 N80-30833* ff LEC- 12691 JSC-14554 p0215 N80-29788* ff LEC- 12696 P0216 N80-29812* f GJBX-9(80)-VOL-2 P0192 N80-30881 ff JSC-145S6 p0217 N80-30838* ff LEC- 12743 P0219 N80-30873* f LEC- 12804 JSC- 14577 p0216 N80-29809* # P0217 N80-30835* | GPO-45-048 P0228 N80-34294 f LEC-12822 P0217 N80-30833* 1 GPO-52-581 P0228 N80-34295 jf JSC-14578 p0216 N80-29808* ff LEC-12833 P0217 N80-30838* | JSC-14579 p0216 N80-29807* jf LEC- 12838 P0216 N80-29809* ff INPE-1635-RPE/094 P0176 N80-30841* ft JSC-14594 p0214 N80-28792* ff LEC-12856 p0216 N80-29807* ff INPE.1668-NTE/157 P0177 N80-30844* ft JSC-14607 p0218 N80-30855* ff LEC-12857 p0216 N80-29808*| INPE-1689-TDL/021 P0218 N80-30842* # JSC-14663 p0221 N80-32816* j LEC-12910 P0214 N80-28792* ff INPE-1713-TDL/023 P0177 NBO-30843* jf JSC-14704 p0221 N80-32814* ff LEC-12975 p0218 N80-30855* if INPE- 1734-RPE/ 1 34 P0218 N80-30840* jf JSC-16335 p0222 N80-33832* ff LEC- 13076 P0221 N80-32816* if INPE-1767-TDL/028 P0179 N80-33839 if JSC- 16341 p0219 N80-30861* ff LEC-13077 p0221 N80-32814* § INPE- 1 788-RPE/ 1 54 p0222 N80-33840 ff JSC- 16346 P0218 N80-30848* | INPE-1784-RPE/156 P0221 N80-32832 jf LEMSCO-14250 p0176 N80-29824* ff INPE-1790-RPE/162 p0179 N80-32835 ff LEMSCO-14310 p0222 N80-33832* ff INPE-1792-RPE/164 P0193 N80-32837 ft JSC-16358 p0177 N80-30863* # LEMSCO-14355 p0219 N80-30871* ff INPE-1793-RPE/165 p0179 N80-32833 jf LEMSCO-14356 P0218 N80-30856* 1 JSC- 16360 P0177 N80-30847* ff INPE- 1 794-RPE/ 166 P0179 N80-32836 # LEMSCO- 14357 p0219 N80- 30861* ff INPE-1820-RPE/186 P0221 N80-33647 $ JSC-16362 p0176 N80-29819* ff LEMSCO-14385 p0177 N80-30847* ff INPE-1823-RPE/189 p0193 N80-33843 1 JSC-16399 p0219 N80-30862* # LEMSCO- 14548 p0217 N80-30831* | INPE-1838-RPE/199 P0193 N80-33842 it LEMSCO-14594 P0218 N80-30B48* i INPE-1841-RPE/201 P0200 N80-33844 ft JSC-16665 P0216 N80-29805' jf LEMSCO- 14597 p0216 N80-29820* | INPE-1849-RPE/206 P0206 N80-32834 ff LEMSCO-14870 p0177 N80-30863* | INPE-1859-RPE/2IO P0180 N80-33841 ff JSC- 167 18 p0221 N80-32811' jf LEMSCO-14672 p0219 N80-30870* | JSC- 16967 p0217 N80-30831* # LEMSCO- 14806 p0176 N80-29819* ft INTERNAL-TM-3/80 P0198 N80-30850* ff LEMSCO-14848 p0216 N80-29805* | KSC-TR-51-2-VOL-3-PT-1 pO197 N80-28939' # LEMSCO-15019 p0221 N80-32812* | tSBN-0-7988- 1656-2 p0222 N80-33837 ff p0221 N80-3281 1* ff KSC-TR-51-3 p0205 N80-30829* ff JPL-PUB-79-113 P0182 N80-30868* ff LEX- 12085 . p0215 N80-29792* ff JPL-PUB-80-38-VOL-2 P0199 N80-32829* ff JPL-PUB-80-40 P0197 N80-28847* f LARS-CR-047880 pOJ76 N80-30825* # MCR-80-610-PT-2 P0178 N80-32830*|

JSC-U401-REV-A P0217 N80-30832* | LARS TR 070980 o0221 N80 33830* M NASA-CR- 154634 p0205 N80-30829* ff JSC-11838 P0214 N80-29781* ft NASA-CR-154634-SUMM . P0205 N80-30830* ff JSC- 1 1 848-REV-A P0213 N80-28772* j LARS-022580 .... p0216 N80-29814* ff NASA-CR- 154635 P0177 N80-32805* ff JSC-11851 P0217 N80-30828*f LARS-070180 p0221 M80-32808* f NASA-CR- 166869 P0198 N80-29637* jf LARS-120279 p0176 N80-30823* f JSC-11882 P0214 N80-28790* | NASA-CR- 160551 p0176 N80-30823* JSC-12504-REV-4 P0214 N80-29780* ff LEG 3984 REV 4 p0214 N80 29780* iV NASA-CR-160577 P0216 N80-29813* JSC-12535 . p0217 N80-30839* ff p0213 N80-28783* JSC-12535-REV-A P0214 N80-28791* | LEC-9882 p0215 N80-29783* f NASA-CR- 180596 P0213 N80-28772* JSC-12537 P0215 N80-29795* jf NASA-CR- 160597 P0212 N80-28769* JSC-12560 P0215 N80-29783* 1 NASA-CR- 160598 p0215 N80-29788* | LEC-9924 P0217 N80-30828* ff JSC-12574 P0221 N80-32810* # NASA-CR- 160599 p0214 N80-28792* jf JSC-12582 . P0216 N80-29811* ft NASA-CR- 1606 17 p0214 N80-29780* ft JSC- 12602 P0213 N80-28782* j LEC-9970 p02U N80-28790* ff NASA-CR- 160618 P0217 HBO- 30832* ff JSC-12655 P0213 N80-28780* jjl NASA-CR-160619 P0215 N80-29783* if JSC-12656 P0213 N80-28779* f NASA-CR- 160620 P0214 N80-29781* ft LEG- 10034 P0215 N80-29795* ff JSC- 12708 P0216 N80-29810* ff NASA-CR- 160621 p0215 N80-29794* if JSC- 12709 P0218 N80-30846* ft p0215 N80- 29796* ff JSC-12729 .... P0218 N80-30852* f LEC-10253 p0216 N80-29811* f/ NASA-CH-160623 p0213 N80-28781'| LEC-10353 p0216 N80-29810* f JSC- 1 2743-REV-A P0213 N80-28776* | LEC-10354 P0218 N80-30846* | NASA-CR-160625 P0214 N80-28793* ff JSC-12881 P0176 N80-29821* jf NASA-CR-160626 P0213 N80-28775* jf JSC-12885 P0217 N80-30826* ff NASA-CR-160627 p0213 N80-28777* ft JSC-12891-REV-A P0214 N80-28795* f LEG- 10481 p0213 N80-28782* ff NASA-CR- 160628 p0213 N80-28778* f) JSC-12892 P0213 N80-28773* jf NASA-CR- 160629 p0214 N80-29782* ff JSC-12917 P0215 N80-29790* # LEG- 10529 P0217 N80-30826* f NASA-CR- 160630 p0213 N80-28774* If JSC-12941 P0212 N80-28771* ff NASA-CR- 160631 p0214 N80-28794* jf JSC-12946 p0213 N80-28787* ff NASA-CR- 160632 p0214 N80-28797* ff JSC- 12950 P0218 N80-30854* ft LEC-10573 p0213 N80-28773* 1 NASA-CR- 160633 p0176 N80-29797* | JSC- 12958 P0213 N80-28784* ff NASA-CR- 160634 p0217 N80-30837* jf JSC-12963 P0213 N80-28786* /f LEG- 107 15 p0213 N80-28787* | NASA-CR- 160635 p0215 NBO-29791* ff J SC- 13030- VOL- 1 P0215 N80-29786* ff p0215 N80-29784* jf JSC-13030-VOL-2-PT-1 P0218 N80-30857* ff LEG- 10775 p0218 N80-30S54' f NASA-CR- 160637 [,0215 N80-29785*| JSC- 1 3030- VOL-2-PT-2 P0215 N80-29787* ff LEG- 107 90 p0213 N80-28784* ff NASA-CR-160638 P0213 N80-28785* | JSC-13030-VOL-3 p0218 N80-30858* 1 LEG- 10800 P0213 N80-28786* | NASA-CR- 160639 p0215 N80-29793* jf JSC-13036 p0214 N80-28789* ff NASA-CR- 160640 p0221 N80-32810* jf JSC- 13055 p0215 N80-29794* ff NASA-CR- 160641 p0215 N80-29795* ff JSC-13064 p0213 N80-28781* f LEC-10822-VOL-2-PT-2 p0215 N80-29787- f NASA-CR- 160642 P0214 N80-28791* ff JSC-131 10 p0214 N80-28788* ff p0216 N80-2981 1* ff JSC-13142 p0214 N80-28793* ff LEG- 10960 P0213 N80-28780* jf NASA-CR- 160644 P0215 N80-29786* 1 JSC-13143 p0213 N80-28775* ff p0214 N80-28790* jf JSC-13144 p0213 N80-28777* ff NASA-CR- 160646 p0213 N80-28780* ff JSC-13145 P02I5 N80-29796* ff LEG- 11 092 p0215 N80-29796* ff NASA-CR- 160647 p0213 N80-28779* f JSC-13665 p0213 N80-28778* ff p0215 N80-29789* jf JSC-13666-REV-A p0214 N80-28797* ff LEG- 11 199 p0214 N80-28788* ff NASA-CR- 160649 p0215 N80-29792* ft JSC- 13723 p0176 N80-29824* ff p0212 N80-28770* jf p0217 N80-30824* fj JSC-13789 P0217 N80-30837* ff LEG- 11 293 pO213 N80-28775* jf NASA-CR- 160651 JSC-13813 p0176 N80-29797* # p0217 N80-30831*# JSC-13817 p0215 N80-29791* ff LEG- 11 357 p0213 N80-28778* ff NASA-CR-160665 p0219 N80-30862* ff JSC-13822 p0213 N80-28785* ff p0216 N80-29805* JSC-13823 pO215 N80-29784* ff NASA-CR- 160667 p0218 N80-30854* JSC- 13824 p0215 N80-29785* ff LEC-11512 p0217 N80-30837* | NASA-CR- 160669 p0218 N80-30846* JSC- 13837 p0215 N80-29793* ff p0218 N80-30852* JSC- 13894 p0214 N80-28794* f LEC-11676 P0215 N80-29785* jf NASA-CR- 160671 p0214 N80-28796* JSC-13917 p0214 N80-29782* ff p0213 N80-28776* JSC-13921 p0213 N80-28774* ff NASA-CR-160673 p0213 N80-28782* NASA-CR-160674 JSC- 13945 p0215 N80-29792* f LEG- 11 703 P0215 NSO-29793'I p0217 N80-30826* JSC-13966 p0217 N80-30824* ff NASA-CR-160675 p0214 N80-28795* JSC-13972 p0212 N80-28770* f LEG- 1202 2 P0214 N80-29782* jjl NASA-CR- 160676 P0214 N80-28789* JSC-13985 p0218 N80-30849* ff NASA-CR- 160677 P0213 N80-28773* JSC-13986 p0217 N80-30836* ff LEC-12128 p02 1 7 N80-30824* f NASA-CR- 160678 p0215 N80-29790* JSC-14238 p0219 N80-30872* i p0213 N80-28787* JSC- 14246 p0218 N80-30845* ff NASA-CR-160680 p0212 N80-28771* JSC-14277 p0218 N80 30853* iC p0213 N80-28784* JSC-14289 p0216 N80-29803* ff LEG- 12267 p0219 N80-30872* ff NASA-CR-160682 P0213 N80-28786* p0212 N80 28769* ft LEG- 12285 p0218 N80-30845* ff p0215 N80-29787* JSC-14423 D0217 N80 30827* ff LEG- 12303 P02I2 N80- 28769* ff p0218 N80-30858* JSC-14456 p0217 N80-30834* f LEG- 12348 pO218 N80-30853* I NASA-CR- 160685 p0217 N80-30835* § LEG- 1237 3 p0216 N80-29803* ff p02 1 6 N80 29812* |9 p0217 N80-30833* ft JSC- 1447 5 p0219 N80-30873* )C .. p0218 N80-30855* if JSC- 14487 nO217 N80-3083S* 1 IFf!-l?fi1K nO217 NS0.3O827* « NASA-CR- 160689 P0219 N80-30861* * E-2 REPORT/ACCESSION NUMBER INDEX

NASA-CR-160690 p0216 N80-29820* jf NASA-TM-81843 .... p0207 N80-33927* f TR-51-2-VOL-4-PT-2 p0183 N80-31970* f NASA-CR- 1 60697 P0218 N80-29814' // NASA-TM-8 1847 pO224 N80-28637* 1 NASA-CR-1 60698 p0219 N80-30874* ff NASA-TM-8 1881 P020O N80-34048* I USGS/WRD/WRI-80/020 p0205 N80-29832 f/ NASA-TM-8 1989 PO221 N80-32838* f NASA-CR- 1 60704 pO218 N80-30856* ff NASA-CR- 1 60706 P0217 N80-3O828* // NASA-TM-82207 pO228 N80-33846* | NASA-CR- 1 60707 pO216 N80-29810* ( NASA-CR- 160708 p0176 N80-29821* ff NASA-TM-82215 p0187 N80-33999* f p0218 N80-30857* # W80-05010 p0206 N80-31867 ff NOAA-80051901 p0228 N80-34O41 ff NASA-CR- 1 607 1 1 pO217 N80-30836* I NRL-MR-4273 P0199 N80-33076 f NRL-MR-4285 p0199 N80-33068 * NASA-CR- 1607 14 p0216 N80-29803* j NSF/ RA-80O04 1 pO193 N80-32845 | NASA-CR- 1 607 1 6 p0217 N80-30834* ji NASA-CR- 1 607 1 7 P0216 N80-29812* /f NSSDC/WDC-A-R/S-80-06 P0227 N80-31420* * NASA-CR- 1 607 1 8 p0217 N80-30838* NASA-CR-160719 p0216 N80-29809* NTIS/PS-78/0560 pO200 N80- 34053 1 NASA-CR-1 60720 p0216 N80-29807* NTIS/PS-78/0563 p0198 N80-30884 f NASA-CR- 160721 p0216 NBO-29808* NTIS/PS-78/0564 PO199 N80-30885 f NASA-CR-1 60722 P0217 N80-30839* NTIS/PS-79/OS85 p0198 N80-30884 1 NASA-CR-160725 p0176 N80-30825* NTIS/PS-79/0586 p0199 N80-30885 j NASA-CR- 1 60726 P0176 N80-29824' NTIS/PS-79/0663 P0200 N80-34053 f NASA-CR- 160727 p0177 N80-30847* NASA-CR-160728 p0218 N80-30848* OWRT-B-036-KAN(1) 00206 N80-31867 | NASA-CR- 1 60729 P0177 N80-30863" NASA-CR- 160730 p0176 N80-29819* PB80-161524 ... p0224 N80-28853 f PB80-169295 P0192 N80-28852 | NASA-CR- 1 60735 p0221 N80-32811* # PB80- 176951 p0205 N80-29832 # NASA-CR-160736 p0221 N80-32813* ff PB80-182801 p0206 N80-31867 1 NASA-CR-160737 P0222 N80-33832* ff PB80- 184609 p0177 N80-30882 i NASA-CR-1 60738 p0221 N80-32814* f PB80- 189665 p0193 N80-32844 f NASA-CR-1 60739 P0221 N80-32816* f PB80-193881 p0193 N80-32845 # NASA-CR-1 60740 p0221 N80-32812* f PB80- 198500 p0207 N80-33849 § NASA-CR-160749 p0177 N80-30869* # PB80- 199482 P0228 NBO-34041 f/ NASA-CR-160750 P0219 N80-30872* j PB80-811235 P0198 N80-30884 ff NASA-CR- 1 6075 1 p0219 N80-30873* | PB80-811243 p0199 N80-30885 if NASA-CR-160753 p0219 N80-30871* 1 PB80-8 1 2878 00200 N80-34053 # NASA-CR-160754 P0219 N80-30870* f NASA-CR- 160762 p0178 N80-32809* f PR-2 P0178 N80-32823* ff PR-3 p0192 N80-30866* ff PR-336 p0220 N80-31856* # NASA-CR-163122-VOL-3-PT-2 .. P0198 N80-28940* f QR-3 p0192 N80-29817* f NASA-CR-163122-VOL-4-PT-2 .. p0183 N80-31970* | RAE-SPACE-574 p0220 N80-3I864 # NASA-CR-1 63335 p0192 N80-29799* 1 NASA-CR-163336 P0192 N80-29800* f RAE-TR-80018 p0220 NBO-31864 ff NASA-CR- 163337 P0224 N80-29801* it P0206 N80-32024. ff NASA-CR-163338 p0227 N80-29802* | RAND/ N- 1 479-DOE NASA-CR-1 63340 p0176 N80-29815* j RC-00221 pO224 N80-29801* | NASA-CH-1 63342 pOI92 N80-29817* ff REPT-2-15/OF1 pO199 N80-32820* | NASA-CH- 163344 P0198 N80-30850* j REPT-80F4508 P0219 N80-31072" f NASA-CH-163345 p0192 N80-29822* jf NASA-CR- 163346 p0227 N80-29823* f RHO-BWI-C-68 P0192 N80-32013 # NASA-CR- 163347 p0177 N80-30851* g RHO-BWI-SA-43 P0183 N80-31862 f NASA-CR- 163351 p0205 N80-30864* 1 RSC-3337 P0216 N80-29813* # NASA-CR- 163353 P0192 N80-30886* 1 SAPR-12 p0183 N80-32826* H NASA-CR- 163363 p0197 N80-28847* ff SASR-1 p0225 N80-32807* # NASA-CR-1 63366 p0218 N80-30842* ff SATR- 1 p0216 N80-29828 (f NASA-CR- 163367 P0177 N80-30843* ff NASA-CR- 163368 p0177 N80-30844* ff NASA-CR-163369 p0218 N80-30840* ff SDSU-RSI-79-03 p0221 N80-33831* ff SDSU-RSI-80-07 p0206 N80-32806* ff NASA-CR- 1 63379 p0221 N80-33830* ff SM-MO-00462 P0177 N80-30869* $ NASA-CR- 163401 p0225 N80-32807* ff NASA-CR- 1634O2 p0221 N80-32808* g SOLAR/0010-80/02 P0220 N80-31975 ff NASA-CR- 163403 p0221 N80-33831* jjf SR-B9-O0434 P0178 N80-32818* ff NASA-CR- 163405 p0183 N80-32817* # SR-EO-O0459 p0178 N80-32809* | NASA-CR- 1634 15 pO199 N80-32820* ff SR-JO-00438 pO177 N80-30860' f NASA-CR- 1 634 1 7 p0183 N80-32825* ff SR-LO-O0419 P0222 N80 33832' If SR-LO-O0427 P0218 N80-30856* # SR-LO-O0442 pO177 N80-30883* H p0219 N80-30871' ff NASA-CR-163539 p0178 N80-32823* SH-LO-OO453 SR-LO-OO456 p0219 N80-30870* ff NASA-CR- 163541 pO207 N80-33834* SR-LOO0440 P0216 N80-29820* | SR LOOO460 pO176 NBO-29819* 1 NASA-CR-163589 pO178 N80-32830* g SR-PO-OO454 pO216 N80-29814* f SR-PO-O0469 pO221 N80-33830* f SR-PO-O0474 pO221 N80-32808* | NASA-TM-76373 - - p0228 N80-33425* f SR-P9-OO4 1 4 P0178 N80-30823* | NASA-TM-80631 pO176 N80-29804* ff NASA-TM-80686 pO205 N80-29806* g SSL-SER-20-ISSUE-44 P0178 N80-32818* g NASA-TM-80716 pO216 N80-29825* g SSL-SER-21-ISSUE-5 p0178 N80-32815* g NASA-TM-80721 p0219 N80-31072* g NASA-TM-80727 P0178 N80-32819* £ NASA-TM-80728 p0186 N80-30876* g TAMU-REF-80-7-T pO199 N80-33077 f NASA-TM-8O905 pO227 N8O-31420" f NASA-TM-81 105 pO177 N80-30860* j pO178 N80-32822* g TR-2 p0198 N80-30880 f NASA-TM-8 1 83 1 D0183 N80-33928* 8 TR-5 1 -2-VOL-4-PT- 1 DO183 N80-31969' « E-3 1. Report No. 2. Government Accession to. 3. Recipient's Catalog No. NASA SP-7041(28) 4. Title and Subtitle 5. Report Date January 1981 EARTH RESOURCES 6. Performing Organization Code A Continuing Bibliography (issue 28)

7. Author(s) 8. Performing Organization Report No.

10. Work Unit No. 9. Performing Organization Name and Address

National Aeronautics and Space Administration 11. Contract or Grant No. Washington, D. C. 205^6

13. Type of Report and Period Covered 12. Sponsoring Agency Name and. Address

14. Sponsoring Agency Code

15. Supplementary Notes

16. Abstract

This bibliography lists ^36 reports, articles, and other documents introduced into the NASA scientific and technical information system between October 1, 1980 and December 31, 1980. Emphasis is placed on the use of remote sensing and geophysical instrumentation is spacecraft and aircraft to survey and inventory natural resources and urban areas. Subject matter is grouped according to agriculture and forestry, environmental changes and cultural resources, geodesy and cartography, geology and mineral resources, hydrology and water management, data processing and distribution systems, instrumentation and sensors, and economic analysis.

17. Key Words (Suggested by Author(s)) 18. Distribution Statement

Bi bliograph ies Unclassified - Unlimited Earth Resources Remote Sensors

19. Security Classif. (of this report) 20. Security Classif. (of this 3356) 21. No. of Pages 22. Price* Unclass i fied Unclass i fied 122 $10.50 -HC

For sale by the National Technical Informatic-n Service, Springfield, Virginia 22161 NASA-Langley, 1981 PUBLIC COLLECTIONS OF NASA DOCUMENTS

DOMESTIC NASA distributes its technical documents and bibliographic tools to eleven special libraries located in the organizations listed below. Each library is prepared to furnish the public such services as reference assistance, interlibrary loans, photocopy service, and assistance in obtaining copies of NASA documents for retention.

CALIFORNIA MASSACHUSETTS University of California. Berkeley Massachusetts Institute of Technology. Cambridge COLORADO MISSOURI University of Colorado, Boulder Linda Hall Library. Kansas City DISTRICT OF COLUMBIA NEW YORK Library of Congress Columbia University. New York GEORGIA OKLAHOMA Georgia Institute of Technology. Atlanta University of Oklahoma, Bizzell Library ILLINOIS PENNSYLVANIA The John Crerar Library. Chicago Carnegie Library of Pittsburgh WASHINGTON University of Washington, Seattle

NASA publications (those indicated by an following the accession -number) are also received by the following public and free libraries:

CALIFORNIA NEW YORK Los Angeles Public Library Brooklyn Public Library San Diego Public Library Buffalo and Erie County Public Library COLORADO Rochester Public Library Denver Public Library New York Public Library CONNECTICUT OHIO Hartford Public Library Akron Public Library MARYLAND Cincinnati Public Library Enoch Pratt Free Library, Baltimore Cleveland Public Library MASSACHUSETTS Dayton Public Library Boston Public Library Toledo Public Library MICHIGAN TENNESSEE Detroit Public Library Memphis Public Library MINNESOTA TEXAS Minneapolis Public Library Dallas Public Library MISSOURI Fort Worth Public Library Kansas City Public Library WASHINGTON St. Louis Public Library Seattle Public Library NEW JERSEY WISCONSIN Trenton Public Library Milwaukee Public Library

An extensive collection of NASA and NASA-sponsored documents and aerospace publications available to the public for reference purposes is maintained by the American Institute of Aeronautics and Astronautics. Technical Information Service. 555 West 57th Street. 12th Floor, New York. New York 10019.

EUROPEAN

An extensive collection of NASA and NASA-sponsored publications is maintained by the British Library Lending Division. Boston Spa, Wetherby. Yorkshire. England. By virtue of arrangements other than with NASA, the British Library Lending Division also has available many of the non-NASA publications cited in STAR. European requesters may purchase facsimile copy of microfiche of NASA and NASA-sponsored documents, those identified by both the symbols "#" and "*". from: ESA - Information Retrieval Service. European Space Agency. 8-10 rue Mario-Nikis, 75738 Paris CEDEX 15. France. National Aeronautics and THIRD-CLASS BULK RATE Postage and Fees Paid National Aeronautics and Space Administration Space Administration NASA-451 Washington, D.C. 20546 Official Business Penalty for Private Use, $300

22 1 .SP-7041. 022381 S90569AU 850609 NASA SCIEN & TECH INFO FACILITY ATTN; ACCESSIONING DEPT P O BOX 8757 BHI ARPBT BALTIHOBE MD 21240

POSTMASTER: If Undeliverable (Section 1S8 NASA Postal Manual) Do Not Return

NASA CONTINUING BIBLIOGRAPHY SERIES

NUMBER TITLE FREQUENCY

NASA SP-7011 AEROSPACE MEDICINE AND BIOLOGY Monthly Aviation medicine, space medicine, and space biology

NASA SP-7037 AERONAUTICAL ENGINEERING Monthly Engineering, design, and operation of aircraft and aircraft components NASA SP-7039 NASA PATENT ABSTRACTS BIBLIOGRAPHY Semiannually NASA patents and applications for patent

NASA SP-7041 EARTH RESOURCES Quarterly Remote sensing of earth resources by aircraft and spacecraft NASA SP-7043 ENERGY Quarterly Energy sources, solar energy, energy conversion, transport, and storage NASA SP-7500 MANAGEMENT Annually Program, contract, and personnel management, and management techniques

Details on the'availability of these publications may be obtained from:

SCIENTIFIC AND TECHNICAL INFORMATION OFFICE

NATIONAL AERONAUTICS AND SPACE ADMINISTRATION

Washington, D.C. 20546 PUBLIC COLLECTIONS OF NASA DOCUMENTS

CALIFORNIA MASSACHUSETTS University of California. Berkeley Massachusetts Institute of Technology, Cambridge COLORADO MISSOURI University of Colorado. Boulder Linda Hall Library, Kansas City DISTRICT OF COLUMBIA NEW YORK Library of Congress Columbia University. New York GEORGIA OKLAHOMA Georgia Institute of Technology. Atlanta University of Oklahoma, Bizzell Library ILLINOIS PENNSYLVANIA The John Crerar Library, Chicago Carnegie Library of Pittsburgh WASHINGTON University of Washington, Seattle

NASA publications (those indicated by an following the accession number) are also received by the following public and free libraries:

CALIFORNIA NEW YORK Los Angeles Public Library Brooklyn Public Library San Diego Public Library Buffalo and Erie County Public Library COLORADO Rochester Public Library Denver Public Library New York Public Library CONNECTICUT OHIO Hartford Public Library Akron Public Library MARYLAND Cincinnati Public Library Enoch Pratt Free Library. Baltimore Cleveland Public Library MASSACHUSETTS Dayton Public Library Boston Public Library Toledo Public Library MICHIGAN TENNESSEE Detroit Public Library Memphis Public Library MINNESOTA TEXAS Minneapolis Public Library Dallas Public Library MISSOURI Fort Worth Public Library Kansas City Public Library WASHINGTON St. Louis Public Library Seattle Public Library NEW JERSEY WISCONSIN Trenton Public Library Milwaukee Public Library

An extensive collection of NASA and NASA-sponsored documents and aerospace publications available to the public for reference purposes is maintained by the American Institute of Aeronautics and Astronautics. Technical Information Service, 555 West 57th Street, 12th Floor, New York, New York 10019

EUROPEAN

An extensive collection of NASA and NASA-sponsored publications is maintained by the British Library Lending Division. Boston Spa. Wetherby, Yorkshire, England. By virtue of arrangements other than with NASA, the British Library Lending Division also has available many of the non-NASA publications cited in STAR. European requesters may purchase facsimile copy of microfiche of NASA and NASA-sponsored documents, those identified by both the symbols "ft" and "*", from: ESA - Information Retrieval Service, European Space Agency, 8-10 rue Mario-Nikis. 75738 Paris CEDEX 15, France.