Earth Resources NASA SP-7041 (21: |%||f%^M.f% A Continuing April 1979 Bibliography NASA with Indexes

National Aeronautics and Space Administration CASE FILg >m •- « l-k COPY DD o Earth Resources ces Earth Resou ounces Earth Re Resources Earth irth Resources E; s Earth Resource trees Earth Resoi PREVIOUS EARTH RESOURCE BIBLIOGRAPHIES

Remote Sensing of Earth Resources (NASA SP-7036) Harth 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))

This bibliography was prepared by the NASA Scientific and Technical Information Facility operated for the National Aeronautics and Space Administration by Informatics Information Systems Company. NASA SP-7041 (21)

EARTH RESOURCES

A Continuing Bibliography With Indexes Issue 21

A selection of annotated references to unclas- sified reports and journal articles that were introduced into the NASA scientific and tech- nical information system and announced be- tween January 1. 1979 and March 31, 1979

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

Scientific and Technical Information Branch 1979 National Aeronautics and Space Administration Washington, DC This Supplement is available from the National Technical Information Service (NTIS). Springfield. Virginia 22161, at the price code E05 ($9.00 domestic; $18.00 foreign). 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 369 reports, articles, and other documents announced between January 1 and March 31, 1979 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 IA A. 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 A79-10,000 in ascending accession number order; STAR entries identified by accession number series N79-10,000 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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vii TABLE OF CONTENTS

Subject Categories

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

01 AGRICULTURE AND FORESTRY Includes crop forecasts, crop signature analysis, soil identification, disease detection, harvest estimates, range resources, timber inventory, forest fire 1 detection, and wildlife migration patterns.

02 ENVIRONMENTAL CHANGES AND CULTURAL RESOURCES Includes land use analysis, urban and metropolitan studies, environmental impact, air and water pollution, geographic information systems, and geographic analysis. . 17

03 GEODESY AND CARTOGRAPHY Includes mapping and topography. 21

04 GEOLOGY AND MINERAL RESOURCES Includes mineral deposits, petroleum deposits, spectral properties of rocks, geological exploration, and lithology. 25

05 OCEANOGRAPHY AND MARINE RESOURCES Includes sea-surface temperature, ocean bottom surveying imagery, drift rates, sea ice and icebergs, sea state, fish location. 29

06 HYDROLOGY AND WATER MANAGEMENT Includes snow cover and water runoff in rivers and glaciers, saline intrusion, drainage analysis, geomorphology of river basins, land uses, and estuarine studies. 33

07 DATA PROCESSING AND DISTRIBUTION SYSTEMS Includes film processing, computer technology, satellite and aircraft hard- ware, and imagery. 37

08 INSTRUMENTATION AND SENSORS Includes data acquisition and camera systems and remote sensors. 41

09 GENERAL Includes economic analysis. 47

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 DOCUMENT AVAILABLE ON MICROFICHE NASA ACCESSION NUMBER- -N79-10497*| National Academy of Sciences - National Research- CORPORATE Council. Washington. D. C. Committee on Remote Sensing SOURCE Programs for Earth Resource Surveys. TITLE • MICROWAVE REMOTE SENSING FROM SPACE FOR EARTH RESOURCE SURVEYS 1977^141 p refs PUBLICATION CONTRACT "(Contract NASw-3043) OR GRANT- ' (NASA-CR-157891) Avail: NTIS HC A07/MF A01 CSCL DATE 05B V The concepts of radar remote sensing and microwave AVAILABILITY REPORT radiometry are discussed and their utility in earth resource sensing SOURCE NUMBER is examined. The direct relationship between the character of the remotely sensed data and the level of decision making for which the data are appropriate is considered. Applications of active and a passive microwave sensing covered include hydrology, land use. mapping, vegetation classification, environmental monitoring, coastal features and processes, geology, and ice and snow. Approved and proposed microwave sensors are described and the use of space shuttle as a development platform is evaluated. A.R.H.

TYPICAL CITATION AND ABSTRACT FROM IAA

NASA SPONSORED DOCUMENT -AVAILABLE ON MICROFICHE AIAA ACCESSION TITLE NUMBER -"•A79-11385 *.# A comparison of photointerpretive and digital production methods for four key remote sensing-based information products. L. F. Eastwood, Jr., T. R. Hays, R. J. Ballard, and G. G. •AUTHORS AUTHORS Crnkovlct^'lWashington University, St. Louis, Mo.). In: Conference AFFILIATION on the Economics of Remote Sensing Information Systems, 1st, San -MEETING Jose, Calif., JanuaryQ9-21, 1977, Proceedings. CONTRACT San Jose, Calif., San Jose State University, 1977, p. 213-228. 10 refs. OR GRANT •Contract No. NAS5-20680. ~ MEETING This paper evaluates the costs of producing four remote DATE sensing-based information products: timber volume estimate tables. Level II land use/land cover maps, soil maps, and vegetative cover maps. Two production methods for each product are evaluated, one is based on digital processing of satellite data, and the other on conventional photointerpretation of aircraft data. For each product, a comparison is conducted of the two strategies' production costs (including data acquisition, 'ground truthing', interpretation, com- pilation, and printing charges) and their performance (as measured by accuracy and timeliness). Each of the production methods reviewed has been demonstrated • either operationally or experi- mentally - and the costs, timeliness and other performance estimates presented are based on observations made in practice. The results show that for these products, satellite-based production results in significant cost and timeliness improvements at the cost of a loss in accuracy. (Author) EARTH RESOURCES A Continuing Bibliography (Issue 21)

APRIL 1979

United States. The overall benefit estimates from information improvements as related to the Landsat Follow-on program are 01 thought to be in the neighborhood of about S250 million a year to the U.S. from wheat crop information alone. G.R. AGRICULTURE AND FORESTRY

Include crop forecasts, crop signature analysis, soil identifi- A79-11382 « Improvement of earth resource inventories utilizing remotely sensed data /sampling and remote sensing/. J. D. cation, disease detection, harvest estimates, range resources, Nichols (ESL, Inc., Sunnyvale, Calif.). In: Conference on the timber inventory, forest fire detection, and wildlife migration Economics of Remote Sensing Information Systems, 1st, San Jose, patterns. Calif., January 19-21, 1977, Proceedings. San Jose, Calif., San Jose State University, 1977, p. 162-170. 10 refs. A description is presented of studies which were conducted to A79-11254 An example of the economic interest in test or demonstrate the usefulness of imagery in providing informa- remote sensing - Forecasting of maize crops. M. Susplugas (Centre tion for estimating timber volume. The test criterion used was the National d'Etudes Spatiales, Paris, France), M. Malet (Institut reduction in the error of the estimate due to the various separations National de la Recherches Agronomiques, Versailles, France), and M. made on the imagery as compared with the standard errors obtained Fraysse. International Astronautical Federation, International Astro- with equal probability ground sampling. This type of testing with a nautical Congress, 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, specific estimation problem in mind seems the most appealing form Paper 78-116. 10 p. In French. of evaluating an imaging and interpretation system. Attention is Consideration is given to the development of statistical agro- given to historical studies, investigations regarding the timber volume climatological prediction models on the basis of remote sensing data. of the Plumas National Forest in California, and the Forest Inventory In particular the paper considers the economic advantages to be Study of Western Washington. G.R. gained from improving the prediction of corn harvests in France. The economic impact of remote-sensing-based prediction techniques on A79-11388* tt An analysis of aircraft requirements to meet stock management is examined. B.J. United States Department of Agriculture remote sensing goals. R. D. Arno (NASA, Ames Research Center, Applications Aircraft and A79-11357 Experiment on the interaction of microwaves Future Programs Office, Moffett Field, Calif.). In: Conference on the with natural surfaces from the viewpoint of their use in the remote Economics of Remote Sensing Information Systems, 1st, San Jose, sensing of agricultural zones (Experience sur I'interaction des Calif., January 19-21, 1977, Proceedings. San micro-ondes avec des surfaces naturelles en vue de leur utilisation a la Jose, Calif., San Jose State University, 1977, p. 261-282. teledetection des zones agricoles). M. Pausader (Centre d'Etudes The survey needs of the U.S. Department of Agriculture are Spatiales des Rayonnements, Toulouse, France). International Astro- immense, ranging from individual crop coverage at specific intervals nautical Federation, International Astronautical Congress, 29th, to general land use classification. The aggregate of all desirable Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-ST-01. 9 p. 5 refs. resolutions and sensor types applicable to airborne platforms yields In French. an annual survey coverage rate equivalent to about 6 times the U.S. The multifrequency scatterometer Ramses (five frequencies land area. An intermediate annual survey level equal to the U.S. area 1.5-9 GHz) was used to study the effect of surface roughness and soil can meet all currently perceived crop survey needs and provide moisture on the diffusion of radar waves by bare soil. The sample imagery over many other resource areas. This decreased scatterometer is described, and the use of a numerical model based survey level can be accomplished with one or two high altitude on Maxwell's equations to interpret the data is examined. Analytic aircraft or medium altitude aircraft. Survey costs range from about and geometric models are indicated, and the extension of the method 25 cents to several dollars per square nautical mile depending to provide information on more complex agricultural soil conditions primarily on resolution requirements and the aircraft used. (Author) is considered. M.L. A79-11389*# The value of volume and growth measure- A79-11377 ff The value of improved global crop information ments in timber sales management of the National Forests. K. R. - An empirical approach to Landsat benefits. K. P. Heiss (ECON, Lietzke (ECON, Inc., Princeton, N.J.). In: Conference on the Inc., Princeton, N.J.). In: Conference on the Economics of Remote Economics of Remote Sensing Information Systems, 1st, San Jose, Sensing Information Systems, 1st, San Jose, Calif., January 19-21, Calif., January 19-21, 1977, Proceedings. San 1977, Proceedings. San Jose, Calif., San Jose Jose, Calif., San Jose State University, 1977, p. 283-323. 17 refs. State University, 1977, p. 49-77. Contract No. NASw-2558. The work done to date on the value of improved crop This paper summarizes work performed in the estimation of information in the context of world food distribution and produc- gross social value of timber volume and growth rate information used tion is quite encouraging. Monthly models for distribution as well as in making regional harvest decisions in the National Forest System. A production processes and decisions have been formulated and model was developed to permit parametric analysis. The problem is implemented to date. The effect of alternative, improved decisions, formulated as one of finding optimal inventory holding patterns. month by month, due to improved crop information, is being Public timber management differs from other inventory holding assessed at a level of reasonable disaggregation to arrive at benefit problems in that the inventory, itself, generates value over time in estimates of the Landsat and the Landsat Follow-on systems for the providing recreational, aesthetic and environmental goods. 'IMon- 01 AGRICULTURE AND FORESTRY

timber' demand estimates are inferred from past Forest Service is concluded that immediate applications are most promising where harvest and sales levels. The solution requires a description of the administration of range land is conducted by a central authority and harvest rates which maintain the optimum inventory level. Gross in countries where the necessary organizational infra-structure exists. benefits of the Landsat systems are estimated by comparison with In the long run indirect applications through range research or Forest Service information gathering models. Gross annual benefits through estimates of national and international livestock production are estimated to be $5.9 million for the MSS system and $7.2 million may have the greater impact on the course of events in the field. for the TM system. (Author) (Author)

A79-11659 Bean area estimates from Landsat and airborne A79-12504 Food information systems - Growing condi- remote sensing data. R. A. Ryerson (Department of Energy, Mines tions. W. Baier (Agriculture Canada, Chemistry and Biology Research and Resources, Centre for Remote Sensing, Ottawa, Canada) and V. Institute, Ottawa, Canada). In: The contribution of space observa- R. Wallen (Department of Agriculture, Crop Disease Loss Section, tions to global food information systems; Proceedings of the W. Ottawa, Canada). In: American Society of Photogrammetry, Fall Nordberg Memorial Symposium, Tel Aviv, Israel, June 7-18, 1977. Technical Meeting, Little Rock, Ark., October 18-21, 1977, Proceed- Oxford, Pergamon Press, Ltd., 1978, p. 77-85. ings. Falls Church, Va., American Society of 12 refs. Photogrammetry, 1977, p. 18-29. Space crop-weather models and their use in conjunction with The purpose of the reported experiment, which was conducted space observations are discussed. FAO and WMO global weather under the direction of the Canada Centre for Remote Sensing was to report programs are surveyed, and the use of crop-weather models in evaluate remote sensing data for providing accurate and timely white regional or global crop information systems is considered. Crop- and red kidney bean area measurements in southern Ontario. The weather modeling approaches are described, examples of integrated Ontario White and Yellow Eye Bean Producers Marketing Board food information systems are presented, and the importance of requires white and red kidney bean area estimates which are 90% estimating soil moisture is explained. M.L. accurate, 95% of the time. Investigations were carried out for two test sites. Landsat coverage was obtained on August 10, while A79-13794 Quantifying gypsy moth defoliation. R. L. airborne data were acquired on August 17, 1976. Ground data were Talerico, T. A. Skratt (U.S. Department of Agriculture, Northeastern collected for each of 419 fields in the two test sites during the Forest Experiment Station, Hamden, Conn.), and J. E. Walker periods August 9-11 and August 17-20, 1976. It was found that the (Calspan Corp., Buffalo, N.Y.). Photogrammetric Engineering and accuracy of remote sensing estimates of white and red kidney bean Remote Sensing, vol. 44, Nov. 1978, p. 1385-1392. 9 refs. Research areas in 1976 in the test sites approach or exceed the accuracies sponsored by the U.S. Department of Agriculture. required. G.R. The study investigates the potential of using color-infrared film (at a scale of 1:31,640) with the scene color standard (SCS) analysis A79-11660 Multidate/multispectral crop identification - as an objective method for measuring and mapping insect (gypsy Digital techniques applied to high altitude photography and Landsat moth, Lymantria dispar) defoliation of forest vegetation from aerial photos. In the SCS analysis, absolute reflectance measurements that imagery. J. R. Jensen (Georgia, University, Athens, Ga.), L. R. can be related over time are produced from sequential aerial photos. Tinney, and J. E. Estes (California, University, Santa Barbara, Calif.). This method is used to develop a quantitative index for defoliation In: American Society of Photogrammetry, Fall Technical Meeting, based on photo-derived reflectance measurements, and to produce Little Rock, Ark., October 18-21, 1977, Proceedings. map overlays of the effect of defoliation from this index. A location Falls Church, Va., American Society of Photogram- in central Pennsylvania, USA, is selected. It is shown that aerial metry, 1977, p. 30-39. 11 refs. Multidate crop identification using microdensitometer scanned photographs analyzed by the SCS method serve as a permanent record of damage, and they provide a total picture of ground color infrared high altitude photography (original scale 1:125,000) conditions such as the distribution of stand susceptibility and and Landsat digital data was conduced for an 140 square J

Graz, Technische Universitat Graz, 1978, p. 7-9. presented for these questions: (1) what constitutes remote sensing 9 refs. Research supported by Mclntire-Stennis and U.S. Forest evidence of vegetation damage; (2) how is vegetation damage Service. interpreted from remotely sensed data; and (3) how can the damage be assessed. The answers to these questions are discussed in details relevant to normal color and color-infrared aerial photography. A79-14159 ff Interrelation between photogrammetry and Consideration is given to details of film reaction to variations in remote sensing cadastral localizing of cultivation inventory, obtained spectral reflectance patterns. Damages showing morphological or by remote sensing. B. L. Y. Dubuisson (Ministers de I'Equipement, physiological changes are discussed relative to spectral reflectance Paris, France). In: Image processing - Interactions with photogram- changes and presented as a means to code damage types. An metry and remote sensing; Proceedings of the International Sym- hypothesis for quantitatively monitoring forest damage is presented. posium, Graz, Austria, October 3-5, 1977. Graz, (Author) Technische Universitat Graz, 1978, p. 51-55. A79-17878 Previsual detection - The elusive dream. L. A79-14176 ft A branched classification system applied to Fox, III (Humboldt State University, Arcata, Calif.). In: Symposium special problems in multispectral data analysis. F. Quiel (Karlsruhe, on Remote Sensing for Vegetation Damage Assessment, Seattle, Universitat, Karlsruhe, West Germany). In: Image processing - Wash., February 14-16, 1978, Proceedings. Falls Interactions with photogrammetry and remote sensing; Proceedings Church, Va., American Society of Photogrammetry, 1978, p. 53-64. of the International Symposium, Graz, Austria, October 3-5, 1977. 15 refs. Graz, Technische Universitat Graz, 1978, p. Previsual detection is defined as the detection of vegetation 171-174. Research sponsored by the Bundesministerium fur For- damage through remote sensing before close-range visual observation schung und Technologie. could detect it. There is general disagreement as to whether remote A branched classification algorithm is applied to data collected sensing techniques can detect plant disease before it becomes visible. with a 11-channel multispectral scanner during flight over east-west The present paper organizes the possible interpretations of previsual strips in the Rhine Valley. At each branching point in this algorithm detection into a tabular summary. This table might be used to clarify a picture element is classified into 'one of two possible classes. what exactly is meant by the term 'previsual' and to prevent future Separation criteria can be selected independently of the criteria used users from being misled as to what should be expected from a remote at branching points. The procedure and results are discussed with sensing device. B.J. attention to scan-angle effects, multidate classification, and texture. It is suggested that the high flexibility of the described system A79-17879 Previsual detection of stressed loblolly pine permits application to classification tasks for which the maximum /Pinus taeda L.I. L. A. Alger, P. J. Egan, and H. J. Heikkenen likelihood algorithm or unsupervised techniques are unsuitable. (Virginia Polytechnic Institute and State University, Blacksburg, (Author) Va.). In: Symposium on Remote Sensing for Vegetation Damage Assessment, Seattle, Wash., February 14-16, 1978, Proceedings. A79-17274 A study of the potential of Landsat MSS Falls Church, Va., American Society of Photo- grammetry, 1978, p. 65-72. 10 refs. digital data for woodland census in Britain. J. R. Hardy and C. D. Agar (Reading, University, Reading, Berks., England). British Inter- An AGA Thermovision System 680 was used to previsually detect relative, apparent temperature differences between stressed planetary Society, Journal (Satellite Control and Data Processing!, vol. 31, Dec. 1978, p. 467-474. 9 refs. and healthy loblolly pines (Pinus taeda L.). Apparent temperatures of stressed foliage were from .5 to 2 C warmer relative to healthy The feasibility of woodland census in Britain using Landsat MSS CCT data is investigated. For a test area near Reading of approxi- foliage. (Author) mately 260 sq km, woodland was distinguished from nonwoodland using a cuboid classification and data for March 1973. Map corrected A79-17880 * Using reflectance and photography to detect outputs for National Grid squares were produced at 1:25,000 scale ozone damage to cantaloupe plants. H. W. Gausman, D. E. Escobar, with area calculations. By combining June 1973 and March 1973 R. R. Rodriguez, C. E. Thomas, and R. L. Bowen (U.S. Department data, similar corrected map outputs are possible which separate of Agriculture, Weslaco, Tex.). In: Symposium on Remote Sensing needleleaf, mixed, and two types of broadleaf woodland. B.J. for Vegetation Damage Assessment, Seattle, Wash., February 14-16, 1978, Proceedings. Falls Church, Va., American A79-17876 Symposium on Remote Sensing for Vegetation Damage Assessment, Seattle, Wash., February 14-16, 1978, Proceed- Society of Photogrammetry, 1978, p. 73-87. 21 refs. NASA Order ings. Symposium sponsored by ISP, ASP, SAF, University of S-53876-AG. Washington, and Washington State Department of Natural Resources. Laboratory and field reflectance measurements showed that Falls Church, Va., American Society of Photogrammetry, 1978. 554 ozone-damaged cantaloupe (Cucumis melo L.) leaves had lower water p. Members, $12.; nonmembers, $18. contents and higher reflectance than nondamaged leaves. Cantaloupe plants with lightly, severely, and very severely ozone-damaged leaves Papers are presented on such topics as the use of vegetation as a were distinguishable from nondamaged plants by reflectance mea- transducer for environmental pollution, digital analysis of Landsat surements in the 1.35-2.5-micron near-IR water absorption band. data in the detection and mapping of spruce budworm defoliation in Ozone-damaged leaf areas were detected photographically 16 hours Northern Wisconsin, remote analysis of forest tree mortality in before the damage was visible. B.J. California, and remote sensing to determine seedling survival. A79-17881 The effect of canopy composition on the Consideration is also given to the use of Landsat image differencing measured and calculated reflectance of conifer forests in Michigan. L. to monitor gypsy moth defoliation, jarrah dieback detection and Fox, III (Humboldt State University, Arcata, Calif.). In: Symposium mapping in Australia, and remote detection of the effects of S02 on Remote Sensing for Vegetation Damage Assessment, Seattle, emissions on vegetation. B.J. Wash., February 14-16, 1978, Proceedings. Falls A79-17877 Remote sensing and vegetation damage • A Church, Va., American Society of Photogrammetry, 1978, p. 89-114. theory for detection and assessment. P. A. Murtha (British Columbia, 25 refs. University, Vancouver, Canada). In: Symposium on Remote Sensing The Michigan conifer forest study had several aims. They for Vegetation Damage Assessment, Seattle, Wash., February 14-16, included: (1) measurement of the spectral reflectance of several 1978, Proceedings. Falls Church, Va., American conifer forest canopies under various angles of incoming and Society of Photogrammetry, 1978, p. 19-52. 23 refs. outgoing radiant flux and quantification of the variation observed; This paper discusses the philosophical and technical aspects of (2) measurement of the canopy component (i.e., needles and remote sensing for vegetation damage assessment. Answers are branches) spectral reflectance and transmittance, density and orienta- 01 AGRICULTURE AND FORESTRY

tion of the canopy components, and angular relation between the processing techniques that will facilitate the assessment of the light source (i.e., the sun) and the sensing instrument; (3) verification intensity and spatial distribution of forest insect damage in North- and use, if possible, of Suits' canopy reflectance model (1972) to eastern U.S. forests using remotely sensed data from Landsats 1, 2 extend the limited field base and aid in explaining empirical results; and C. Automated change detection techniques are presently being and (4) investigation of possible forest species discrimination. B.J. investigated as a method of isolating the areas of change in the forest canopy resulting from pest outbreaks. In order to follow the change A79-17883 Applications of photometric process in moni- detection approach, Landsat scene correction and overlay capabilities toring vegetation damage due to external stresses. D. Gaucher, J. E. are utilized to provide multispectral/multitemporal image files of Walker (Calspan Corp., Buffalo, N.Y.), and J. R. Schott. In: 'defoliation' and 'nondefoliation' forest stand conditions. (Author) Symposium on Remote Sensing for Vegetation Damage Asessment, Seattle, Wash., February 14-16, 1978, Proceedings. A79-17888 Case applications of remote sensing for vegeta- Falls Church, Va., American Society of Photogram- tion damage assessment. R. C. Heller (Idaho, University, Moscow, metry, 1978, p. 135-159. 23 refs. Idaho). In: Symposium on Remote Sensing for Vegetation Damage An operational vegetation-damage assessment procedure based Assessment, Seattle, Wash., February 14-16, 1978, Proceedings. solely on remote sensing technology has been developed. This new Falls Church, Va., American Society of Photo- information extraction procedure based on vegetation spectral grammetry, 1978, p. 231-252. 26 refs. reflectance can be applied to the remote assessment of defoliation in The advantages and disadvantages of remote sensing for vegeta- deciduous forests (defoliation mapping of a Pennsylvania forest is tion damage assessment are discussed. Consideration is then given to considered as an example). Moreover, it is indicated that other successful vegetation assessment techniques, including visual observa- important vegetation management information requirements can also tion, aerial photography, multistage sampling, and risk rating be satisfied through the use of this new information extraction systems. Some future trends in this area are projected. B.J. method and with significantly less dependence on ground or aerial observation survey inputs. B.J. A79-17889 Recognition of patterns of damage in tall forests in Australia. T. Bird (Commonwealth Scientific and Industrial A79-17884 The application of digital terrain model and Research Organization, Div. of Forest Research, Hobart, Australia), space resection techniques to digitizing the position of southern pine B. J. Myers (Commonwealth Scientific and Industrial Research beetle infestations delineated on large scale aerial photographs. W. H. Organization, Div. of Forest Research, Canberra, Australia), and D. Clerke (U.S. Forest Service, Atlanta, Ga.) and R. O. Mahan (U.S. A. Ratkowsky (Commonwealth Scientific and Industrial Research Forest Service, Washington, D.C.). In: Symposium on Remote Organization, Div. of Mathematics and Statistics, Hobart, Australia). Sensing for Vegetation Damage Assessment, Seattle, Wash., February In: Symposium on Remote Sensing for Vegetation Damage Assess- 14-16, 1978, Proceedings. Falls Church, Va., ment, Seattle, Wash., February 14-16, 1978, Proceedings. American Society of Photogrammetry, 1978, p. 161-179. 10 refs. Falls Church, Va., American Society of Photogram- metry, 1978, p. 253-266. 18 refs. Research supported by the A79-17885 Microdensitometry to identify Douglas-fir tus- Tasmanian Forestry Commission. sock moth defoliation on color IR aerial photos. Y. J. Lee (Pacific The paper describes a photointerpretation technique for the Forest Research Centre, Victoria, British Columbia, Canada) and J. identification of patterns of forest decline and discusses its applica- f. Wear (U.S. Forest Service, Portland, Ore.). In: Symposium on tion to the regrowth dieback disorder which affects about 20,000 ha Remote Sensing for Vegetation Damage Assessment, Seattle, Wash., of the commercially important Australian eucalypt forest. The goal February 14-16, 1978, Proceedings. Falls of the study was to determine whether a pattern characteristic of Church, Va., American Society of Photogrammetry, 1978, p. other disorders for which causes are known could be established. B.J. 181-195. A79-17890 Full coverage at large scale. F. J. Bradshaw and A79-17886 Detection and mapping of spruce budworm R. J. Chandler (Forests Department, Australia). In: Symposium on infestation in Northern Wisconsin using digital analysis of Landsat Remote Sensing for Vegetation Damage Assessment, Seattle, Wash., data. H. E. Hogan and R. P. Madding (Wisconsin, University, February 14-16, 1978, Proceedings. Falls Madison, Wis.). In: Symposium on Remote Sensing for Vegetation Church, Va., American Society of Photogrammetry, 1978, p. Damage Assessment, Seattle, Wash., February 14-16, 1978, Proceed- 267-290. 6 refs. ings. Falls Church, Va., American Society of The paper considers the use of large-scale 70 mm aerial Photogrammetry, 1978, p. 197-219. 8 refs. Research supported by photography for the detection and mapping of dieback disease in the the U.S. Forest Service and Wisconsin Department of Natural jarrah forests of Western Australia. Consideration is given to the Resources. choice of the dieback detection and mapping system, the design of The use of Landsat MSS digital data and computer-assisted the 70 mm aerial photographic system, system trials, detection and analysis techniques was investigated in a study of spruce budworm interpretation procedures, film handling and mapping, cost factors, infestation in forest stands of balsam fir and white spruce in Northern Wisconsin. A Landsat computer-compatible tape was and operational feasibility. Total coverage of small-format large-scale obtained for 11 July 1976 when peak foliage browning of fir and aerial photography over extensive areas has been shown to be spruce was visible. Color and color IR 70 mm aerial imagery at scales practicable even under time and weather limitations. B.J. of 1:78,900 and 1:46,800 provided a record of ground conditions. Results indicate that Landsat can be used to identify and map areas of coniferous infestation but that supplementary methods are A79-17891 Detection of a crown dieback in Australian required to determine the type and severity of defoliation. B.J. eucalypt forests on large-scale aerial photographs. B. J. Myers and T. Bird (Commonwealth Scientific and Industrial Research Organiza- A79-17887 * Monitoring gypsy moth defoliation by apply- tion, Div. of Forest Research, Canberra, Australia). In: Symposium ing change detection techniques to Landsat imagery. D. L. Williams on Remote Sensing for Vegetation Damage Assessment, Seattle, (NASA, Goddard Space Flight Center, Earth Resources Branch, Wash., February 14-16, 1978, Proceedings. Falls Greenbelt, Md.) and M. L. Stauffer (Computer Sciences Corp., Silver Church, Va., American Society of Photogrammetry, 1978, p. Spring, Md.). In: Symposium on Remote Sensing for Vegetation 291-297. Damage Assessment, Seattle, Wash., February 14-16, 1978, Proceed- ings. Falls Church, Va., American Society of A79-17892 The use of CIR aerial photography for Dutch Photogrammetry, 1978, p. 221-229. 10 refs. elm disease detection. S. E. Fairweather, M. P. Meyer, and D. W. The overall objective of a research effort at NASA's Goddard French. In: Symposium on Remote Sensing for Vegetation Damage Space Flight Center is to develop and evaluate digital image Assessment, Seattle, Wash., February 14-16, 1978, Proceedings. 01 AGRICULTURE.AND FORESTRY

Falls Church, Va., American Society of Photo- multispectral scanner, given its superior capability for spectral grammetry, 1978, p. 299-310. discrimination, could possibly supply more valuable data than photography, provided an appropriate classification technique is A79-17893 Remote sensing approach to identifying pre- developed. V.P. ferred Douglas-fir tussock moth /Orgyia pseudotsugata McD./ sites. W. A. Miller and R. C. Heller (Idaho, University, Moscow, Idaho). In: A79-17898 Landsat verification of aerial sketch-mapping. Symposium on Remote Sensing for Vegetation Damage Assessment, P. A. Murtha (British Columbia, University, Vancouver, Canada) and Seattle, Wash., February 14-16, 1978, Proceedings. J. W. E. Harris (Pacific Forest Research Centre, Victoria, British Falls Church, Va., American Society of Photogram- Columbia, Canada). In: Symposium on Remote Sensing for Vegeta- metry, 1978, p. 311-333. 6 refs. Research supported by the tion Damage Assessment, Seattle, Wash., February 14-16, 1978, University of Idaho and U.S. Department of Agriculture. Proceedings. Falls Church, Va., American Society of Photogrammetry, 1978, p. 417-427. 6 refs. A79-17894 Remote analysis of forest tree mortality in A zone of tree mortality, caused by Douglas-fir tussock moth California. M. E. Schultz (California, University, Berkeley, Calif.). In: defoliation, was aerially sketch-mapped. These results were substan- Symposium on Remote Sensing for Vegetation Damage Assessment, tiated by Landsat data interpreted by optical visual analysis Seattle, Wash., February 14-16, 1978, Proceedings. techniques (the zone of defoliation was delineated on the mapping Falls Church, Va., American Society of Photogrammetry, 1978, screen of a color additive viewer.) It is suggested that forest p. 335-354. 15 refs. monitoring agencies should regularly use Landsat data in some of In the study described, large-scale normal color transparencies their programs, since interpretation of satellite data can produce were found useful for extracting detailed information on forest equally valuable results as the more expensive conventional tech- mortality groups. For Yosemite Valley and the Cleveland National niques. V.P. Forest, the cost of using a thermal IR sensor to detect diseased or dying trees might be justified because of the critical need to A79-17899 Detection of Armillaria root rot damage with eliminate hazardous trees in high-use areas. For the Pest Damage shadowless color infrared photography. T. Gregg, K. Russell, and E. Inventory, where a detailed analysis of a large sample of mortality Knudtson (Washington State, Dept. of Natural Resources, Olympia, groups is needed, large-scale photos were found to be most useful. Wash.). In: Symposium on Remote Sensing for Vegetation Damage The uneven age stands that predominate in California are best Assessment, Seattle, Wash., February 14-16, 1978, Proceedings. photographed with a normal color film under overcast conditions to Falls Church, Va., American Society of Photo- eliminate the shadow areas in which many of the smaller dead trees grammetry, 1978, p. 429-438. are concealed. V.P. Armillaria root rot is a world wide forest pathogen that attacks the roots and lower bole of forest trees and numerous other plants. A79-17895 Multiphase airphoto assessment for annual This root disease has become an acute problem in South Central losses caused by the mountain pine beetle in lodgepole pine. W. H. Washington where it causes a high level of mortality in ponderosa Klein, R. W. Young (U.S. Forest Service, Methods Application pine stands, plus reduces the productive forest land base by killing Group, Davis, Calif.), and D. D. Bennett (U.S. Forest Service, Ogden, much of the current inventory before it becomes merchantable. Utah). In: Symposium on Remote Sensing for Vegetation Damage Accurate and efficient methods for detecting this disease are essential Assessment, Seattle, Wash., February 14-16, 1978, Proceedings. for assessing impact and for developing effective control programs. A Falls Church, Va., American Society of Photo- survey using specialized shadowless color infrared photography was grammetry, 1978, p. 355-367. conducted to generate information concerning location, size, and status of Armillaria infections. This paper reviews the remote sensing A79-17896 Use of color infrared aerial photography for aspects of this survey; including, design of photographic flight documenting baseline vegetation stress in environmental impact specifications, development of photographic interpretation criteria assessment. R. C. Leupold, J. B. Mathies (Environmental Research for detecting Armillaria, and the role of the interpreted data in and Technology, Inc., Concord, Mass.), R. P. Herbst (Environmental long-range management planning and control. (Author) Research and Technology, Inc., Houston, Tex.), and R. J. Kohut (Environmental Research and Technology, Inc; Ecology Consultants, Inc., Fort Collins, Colo.). In: Symposium on Remote Sensing for Vegetation Damage Assessment, Seattle, Wash., February 14-16, A79-17900 Vegetation damage surveying in India. A. C. 1978, Proceedings. Falls Church, Va., American Chaturvedi (Irrigation Commission, Lucknow, India). In: Symposium on Remote Sensing for Vegetation Damage Assessment, Seattle, Society of Photogrammetry, 1978, p. 369-380. An attempt is made to show the usefulness of color-infrared Wash., February 14-16, 1978, Proceedings. Falls photography in an applied remote sensing role. CIR photos have Church, Va., American Society of Photogrammetry, 1978, p. proven to be an effective tool in the detection of vegetation stress 439-454. 6 refs. and in a wide range of applications for its prevention. They serve as a The use of ERTS images to study the Rajasthan, India, desert permanent record which documents baseline conditions and the and the arid area in northwestern India are described. Vegetation is historical record for future potential impacts and also provide a most surveyed, flood plain and flood zone areas are demarcated, areas of important data base for decision making from and during baseline encroaching desert are identified, and cyclone damage is assessed. and siting studies. The role of CIR photos is equally important in The operation, interpretation, capabilities, and costs of the ERTS impact prediction and mitigation. V.P. survey and data are discussed. M.L.

A79-17897 # Detecting the effects of sulfur dioxide emis- A79-17901 Washington State forest insect survey - Com- sions on vegetation by remote sensing. C. D. Sapp (Tennessee Valley bining aerial sketch map and remote sensing techniques. B. Backman, Authority, Div. of Environmental Planning, Muscle Shoals, Ala.). In: T. Gregg, and R. Johnsey (Washington State, Dept. of Natural Symposium on Remote Sensing for Vegetation Damage Assessment, Resources, Olympia, Wash.). In: Symposium on Remote Sensing for Seattle, Wash., February 14-16, 1978, Proceedings. Vegetation Damage Assessment, Seattle, Wash., February 14-16, Falls Church, Va., American Society of Photogrammetry, 1978, 1978, Proceedings. Falls Church, Va., American p. 381-400. 8 refs. Society of Photogrammetry, 1978, p. 455-463. The remote sensing techniques studied in the present paper indicate that the aerial mapping camera and color-infrared film are A79-17902 Remote sensing for determination of seedling the most useful combination for detecting the effects of S02 injury survival. E. L. Schaefer (Gene Schaefer and Associates, Fountain to vegetation. There is no substitute for the color-infrared trans- Valley, Calif.). In: Symposium on Remote Sensing for Vegetation parency and the mirror stereoscope with binocular magnifiers. The Damage Assessment, Seattle, Wash., February 14-16, 1978, Proceed- 01 AGRICULTURE AND FORESTRY

ings. Falls Church, Va., American Society of Brasil' were available. A detailed comparison was made of three areas Photogrammetry, 1978, p. 465-495. 7 refs. of the SLAR material and vegetation maps reduced.from the original To render remote sensing technology useful for assessing the map to scale 1:250,000. On SLAR, forest and non-forest areas could survival of seedlings after transplanting, a variety of natural field be accurately delineated but the mahogany forest types could not be conditions must be examined to establish the limiting factors. In the differentiated from the non-mahogany bearing low and high forest present paper, these conditions are reviewed, and an experimental types, neither by tone nor by physiographic aspects. (Author) research project in which remote sensing methods were used to determine seedling survival is described. V.P. A79-19892 Results of a two-stage unequal probability /PPS/ sampling for timber volume using an orthophoto mosaic. D. A. A79-17903 Remote sensing of vegetation damage to assess Stellingwerf (International Institute for Aerial Survey and Earth the effectiveness of prescribed burning in Australia. B. J. Myers Sciences, Enschede, Netherlands). (International Society for Photo- (Commonwealth Scientific and Industrial Research Organization, grammetry and International Union of Forest Research Organiza- Div. of Forest Research, Canberra, Australia). In: Symposium on tions, Symposium, Freiburg, West Germany, July 3-8, 1978.) ITC Remote Sensing for Vegetation Damage Assessment, Seattle, Wash., Journal, no. 3, 1978, p. 402-414. February 14-16, 1978, Proceedings. Falls Church, Va., American Society of Photogrammetry, 1978, p. A79-19893 A comparative test of unrestricted, stratified, 497-509. 5 refs. two-phase and two-stage PPS timber volume sampling using an ortho- photo mosaic. D. A. Stellingwerf (International Institute for Aerial Survey and Earth Sciences, Enschede, Netherlands). (International A79-17904 Applications of remote sensing to vegetation Society for Photogrammetry and International Union of Forest Re- injury caused by air pollution. D. R. Williams (Lockheed Electronics search Organizations, Symposium, Freiburg, West Germany, July 3-8, Co., Inc., Remote Sensing Laboratory, Las Vegas, Nev.). In: 1978.) ITC Journal, no. 3, 1978, p. 415-428. Symposium on Remote Sensing for Vegetation Damage Assessment, Four methods of interpreting orthophoto mosaics at a scale of Seattle, Wash., February 14-16, 1978, Proceedings. 1:10,000 are applied to the study of a conifer forest. The mosaic was Falls Church, Va., American Society of Photogrammetry, 1978, prepared from black and white infrared aerial photographs with a p. 529-543. 6 refs. U.S. Environmental Protection Agency Contract scale of 1:30,000, and the four methods are unrestricted sampling, No. 68-03-2636. stratified sampling, two-phase sampling, and two-stage probability In the present paper, two separate cases of air pollution injury proportional to size (PPS) sampling. While the two-phase technique to vegetation are detailed to show how typical- remote sensing requires additional photographs, it is the most efficient method with surveys can provide useful information in such cases. Some potential respect to required office and field time. When cost is taken into uses of this information are described. It is shown that, when account, however, the two-stage PPS method is found to be most accompanied by ground truth, remote sensing surveys, conducted advantageous. Systematic selection of sampling units increases the periodically, can assess, in a synoptic manner, the extent and severity desirability of using the two-stage procedure. M.L. of vegetation injury. This information also can serve as a permanent record and is admissible as evidence in legal proceedings. V.P. A79-19894 Forest road planning from aerial photographs. J. M. Remeijn (International Institute for Aerial Survey and Earth Sciences, Enschede, Netherlands). (International Society for Photo- A79-18197 Applications of DTM in the Forest Service. T. grammetry and International Union of Forest Research Organiza- W. Gossard (U.S. Department of Agriculture, Forest Service, Wash- tions, Symposium, Freiburg, West Germany, July 3-8, 1978.) ITC ington, D.C.). (American Society of Photogrammetry, Digital Terrain Journal, no. 3, 1978, p. 429-444. 11 refs. Model Symposium, St. Louis, Mo., May 9-11, 1978.) Photogram- metric Engineering and Remote Sensing, vol. 44, Dec.'1978, p. 1577-1586. 6 refs. N79-106CO*# National Aeronautics and Space Administration, The paper reviews the basic features and primary uses of the Washington. D. C. output products of three systems in use within the Forest Service FOREST INVENTORY OF EAST THAILAND USING ERTS-1 which employ digital terrain data as a source material. TOPAS AND GROUND TRUTH SURVEY (Topographic Analysis System) is heavily used by resource managers Darasi Sisaengthong Aug. 1976 35 p refs Transl. into ENGLISH to evaluate impacts of alternate uses of national forest lands. DTIS of Rept. No. 750227 Office of the Natl. Sci. Comm. Office of (Digital Terrain Information System) is a secondary set of programs the Min.. Bangkok. Sep. 1975 p 1-33 Transl. by Joint Publications within TOPAS that has been enhanced to handle more rigorous Research Service. Arlington analyses related to site-specific projects, often involving engineering (NASA Order W-13183) reconnaissance and design. MOSAIC (Method of Scenic Alternative (NASA-TT-F-17065) Avail: NTIS HC A03/MF A01 CSCL Impacts by Computer) is a photomontage system which uses 02F computer graphics to depict proposed landscape alterations to The organization of the project to survey forest areas using overlay on a terrestrial photograph of an existing area. B.J.. LANDSAT 1 photographs is discussed as well as the operation of the satellite itself. Photointerpretation methods are described and discrepancies between the maps based on satellite pho- A79-19891 SLAR for forest type-classification in a semi- tographs and ground surveys are examined. A.R.H. deciduous tropical region. G. Sicco Smit (International Institute for Aerial Survey and Earth Sciences, Enschede, Netherlands). (Interna- tional Society for Photogrammetry and International Union of N79-11451*# Institute de Pesquisas Espaciais. Sao Jose dos Forest Research Organizations, Symposium, Freiburg. West Ger- Campos (Brazil!. many, July 33. 1978.) ITCJournal, no. 3,1978, p. 385-401. SEPARABILITY OF AGRICULTURAL COVER TYPES IN SPECTRAL CHANNELS AND WAVELENGTH REGIONS The possibilities of interpretation of SLAR images for forest Ravindra Kumar Oct. 1977 21 p refs typing in a semi-deciduous tropical region is proved in a pilot area of (Grant NGL-15-005-1 12) the natural mahogany (Swietenia macrophylla, King) bearing forest (NASA-CR-157803: INPE-1147-PE/100) Avail: NTIS types of the north of the State of Goias, Brazil, along the river HC A02/MF A01 CSCL 02C Araguaia. Of this region there are vegetation maps (1:50,000 and Spectral channels and wavelength regions (visible, near 1:200,000) of a FAO/SPEVEA survey, based on fieldwork executed infrared, middle infrared and thermal infrared) were evaluated in 1961 and photointerpretation of aerial photographs, scale with respect to their estimated probability of correct classification 1:45,000 from 1957/58. SLAR image 1971/72, strips in the far and (Pc) in discriminating agricultural cover types. Multispectral near ranges and mosaics at scale 1:250,000 of the 'Projeto Radam scanner data in twelve spectral channels in the wavelength range 01 AGRICULTURE AND FORESTRY

of 0.4 to 11.7 microns acquired in the middle of July for three The author has identified the following significant results. flightlines. were analyzed by applying automatic pattern recogni- From the theory of rernote sensing of surface temperatures, an tion techniques. The same analysis was performed for the data equation of the upper bound of absolute error of emittance was acquired in the middle of August. 1971. over the same three determined. It showed that the absolute error decreased with flightlines. to investigate the effect of time on the results. The an increase in contact temperature, whereas, it increased with effect of deletion of each spectral channel as well as each an increase in environmental integrated radiant flux density. wavelength region on PC is given. Values of PC for all possible Change in emittance had little effect on the absolute error. A combinations of wavelength regions in the subsets of one to plot of the difference between temperature and band radiance twelve spectral channels are also given. The overall values of temperature vs. emittance was provided for the wavelength PC were found to be greater for the data of the middle of intervals: 4.5 to 5.5 microns. 8 to 13.5 microns, and 10.2 to August than the data of the middle of July. S.B.S. 12.5 microns.

N79-12626*# Purdue Univ.. Lafayette, Ind. Lab. for Applications N79-12536# National Technical Information Service. Springfield, of Remote Sensing. Va. FOREST RESOURCE INFORMATION SYSTEM Quarterly REMOTE SENSING OF AGRICULTURAL RESOURCES. A Report. 1 Apr. - 30 Jun. 1978 BIBLIOGRAPHY WITH ABSTRACTS Progress Report. Oct. R. P. Mroczynski, Principal Investigator 30 Jun. 1978 43 p 1973 - Sep. 1978 refs Original contains imagery. Original photography may be Audrey S. Hundemann Sep. 1978 217 p Supersedes purchased from the EROS Data Center. Sioux Falls, S. D. 57198 NTIS/PS-77/0867; NTIS/PS-76/0714; NTIS/PS-75/668: EREP NTIS/PS-75/068 (Contract NAS9-15325) (NTIS/PS-78/0969/2; NTIS/PS-77/0867; NTIS/PS-76/07 14; (E79-10010; NASA-CR-151832) Avail: NTIS NTIS/PS-75/668: NTIS/PS-75/068) Avail: NTIS HC.A03/MF A01 CSCL 02F HC S28.00/MF $28.00 CSCL 020 The author has identified the following significant results. Results of agricultural resources surveys using remote sensing Satisfactory results were obtained separately from both winter techniques for crop identification, acreage measurement, land and spring LAND SAT data for areal estimates. Bitemporal results mapping, and forest density studies are discussed. A few abstracts were improved by combining winter and spring data. Per-point pertain to identification of plant diseases and insect pests and and per-field classifiers performed comparably, except regarding fishery resources assessment. GRA time, where the per-field classifiers were more efficient. N79-12539$ Technicolor Graphic Services, Inc.. Sioux Falls, N79-12627*# Lockheed Electronics Co., Houston. Tex. Systems S. Dak. and Services Oiv. A SELECTED BIBLIOGRAPHY: REMOTE SENSING SECONDARY ERROR ANALYSIS: THE tVALUATION OF APPLICATIONS FOR TROPICAL AND SUBTROPICAL ANALYST DOT LABELING VEGETATION ANALYSIS K. A. Havens. Principal Investigator Sep. 1978 17 p refs Lawrence R. Pettinger Jul. 1978 50 p EREP (Contract DI-14-08-0001-16439) (Contract NAS9-15200) (PB-284683/0) Avail: NTIS HC A03/MF A01 CSCL 02D (E79-10011: NASA-CR-151847; LEC-12380; JSC-14544) This bibliography contains 425 citations of selected technical Avail: NTIS HC A02/MF A01 CSCL 05B reports, journal articles, and other publications covering the general The author has identified the following significant results. subject of tropical and subtropical vegetation analysis. Functionally From this examination of 25 test segments using Al labeling related topics that include vegetation analysis are included for and ground truth labeling, the PCC on type 1 dots was found completeness, and citations are organized under the following to be signficantly better for both types of ground truth labeled subheadings: remote sensing application overviews; vegetation procedures than the PCC obtained using Al labeling. No significant (general); forestry; grasslands/savannah/shrublands: agriculture; difference in the PCC was found for type 2 dots. However, in land use/thematic mapping; and integrated surveys/multiple all three treatments, the type 2 dots included pixels which fell resource analysis/land systems. The terms 'tropics and subtropics' on boundaries or were mixed pixels. This accounted for all PCC2 are used in the widest context to in-.lude applications related to values being equally low. The proportion estimates achieved in a broad range of equatorial environments. GRA these classifications showed no significant differences between procedures. N79-13424*j(f Kansas Univ. Center for Research, Inc.. Lawrence. Remote Sensing Lab. N79-12530*# Institute de Pesquisas Espaciais. Sao Jose dos A COMPREHENSIVE DATA PROCESSING PLAN FOR CROP Campos (Brazil). CALENDAR MM SIGNATURE DEVELOPMENT FROM THE USE OF LANDSAT DATA FOR THE ESTABLISHMENT. SATELLITE IMAGERY: CROP IDENTIFICATION USING CONTROL AND SUPERVISION OF PASTURE PROJECTS VEGETATION PHENOLOGY Fine! Report IN THE SOUTHEAST AMAZON REGION C. A. Hlavka. Principal Investigator. S. M. Carlyle, R. M. Haralick. Nelson deJesusParada. Principal Investigator. Armando Pacheco and R. Yokoyama Jul. 1978 118 p refs ERTS dosSantos. and Evlyn Marcia Leao deMoraesNova Nov. 1977 (Contract NAS5-20943) 19 p refs Presented at Simposio Internacional de Percepcion (E79-10001: NASA-CR-157896: Rept-286-5) Avail: NTIS Remota Aplicada a Demografia y Uso Actual de la Tierra. Lapaz. HC A06/MF A01 CSCL 02C Brazil, 28-30 Nov. Sponsored by NASA ERTS The author has identified the following significant results. (E79-10016; NASA-CR-157905) Avail: NTIS The phonological method of crop identification involves the HC A02/MF A01 CSCL 02F creation of crop signatures which characterize multispectral observations as phonological growth states. The phonological signature models spectral reflectance explicitly as a function of crop maturity rather than as a function of date. A correspondence N79-12532*# Institute de Pesquisas Espaciais. Sao Jose dos of time to growth state is established which minimizes the smallest Campos (Brazil). difference between the given multispectral multitemporal vector DETERMINATION AND ERROR ANALYSIS OF EMITTANCE and a category mean vector. The application of the method to AND SPECTRAL EMITTANCE MEASUREMENTS BY the identification of winter wheat and corn shows (1) the method REMOTE SENSING is capable of discriminating crop type with about the same degree Nelson deJesusParada. Principal Investigator and R. Kumar Sep. of accuracy as more traditional classifiers: (2) the use of LANDSAT 1977 23 p refs Sponsored by NASA Submitted for publication observations on two or more dates yields better results than ERTS the use of a single observation; and (3) some potential is (E79-10021: NASA-CR-157910) Avail: NTIS demonstrated for labeling the degree of maturity of the crop, as HC A02/MF A01 CSCL 20N well as the crop type. 01 AGRICULTURE AND FORESTRY

N7*-13428*fjf Agricultural Research Service. Phoenix. Ariz. NASA ERTS HCMM HEAT CAPACITY MAPPING MISSION Quarts** (E79-10024; NASA-CR-157913: INPE-1119-PE/087) Avail: Pragma Report. 1 Aug. - 31 Oct. 1»78 NTIS HC A02/MF A01 CSCL 02C Ray D. Jackson. Principal Investigator 31 Oct. 1978 7 p Original The author has identified the following significant results. contains color imagery. Original photography may be purchased Multispectral scanner data in twelve spectral channels in the from the EROS Data Center. Sioux Falls. S. D. 57198 ERTS wavelength range of 0.4 to 11.7 microns acquired in the middle (NASA Order S-40255-B) of July for three flightlines were analyzed by applying automatic (E79-10007; NASA-CR-157899) Avail: NTIS pattern recognition techniques. The same analysis was performed HC A02/MF A01 CSCL 02C for the data acquired in mid August, over the same three flightlines. The author has identified the following significant results. to investigate the effect of time on the results. The effect of Thermal imagery shows a large temperature variation over the deletion of each spectral channel, as well as each wavelength 640 acre experimental site. The variation is due to the slope region on P sub c. is given. Values of P sub c for all possible and aspect of the terrain as well as the aircraft flight direction combinations of wavelength regions in the subsets of' one to (east-west versus north-south). In spite of these individual twelve spectral channels are also given. The overall values of P temperature differences, mean temperature values from 40 to sub c were found to be greater for the data of mid August 640 acre blocks are essentially identical regardless of aircraft than the data from mid July. flight direction. N7t-13436*j|[ Institute de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). N7*-13431*jjl Institute de Pesquisas Espaciais. Sao Jose dos COMPARISON OF FEATURE SELECTION TECHNIQUES Campos (Brazil). FOR EARTH RESOURCES DATA DEFORESTATION PLANNING FOR CATTLE GRAZING IN Nelson deJesusParada. Principal Investigator and Ravindra Kumar AMAZON SAWN USING LANDSAT DATA Sep. 1978 13 p refs Presented at Intern. Conf. on Machine- Nelson deJesusParada. Principal Investigator. Armando Pacheco Aided Image Analysis, Oxford. England, 4-6 Sep. 1978 Sponsored dosSantos. and Evlyn Marcia Leao deMoraisNovo Apr. 1978 by NASA ERTS 54 p refs Presented at 3d UN/FAO Training Course on Remote (E79-10025: NASA-CR-157914. INPE-1359-PE/167) Avail: Sensing Application. Rome, Italy. 15 May - 2 Jun. 1978 NTIS HC A02/MF A01 CSCL 05B Sponsored by NASA Original contains color imagery. Original photography may be purchased from the EROS Data Center, Sioux Falls. S. D. 57198 ERTS (E79-10018: NASA-CR-157907; INPE-1225-PE/126) Avail: N79-13441*# Lockheed Electronics Co., Houston. Tex. Systems NTIS HC A04/MF A01 CSCL 02F and Services Div. The author has identified the following significant results. NATIONWIDE FORESTRY APPLICATIONS PROGRAM: This research did not show the total potential of the LANDSAT TEN-ECOSYSTEM STUDY (TES) SITE 3. ST. LOUIS COUNTY. system, but tried to open up new research aspects for the utilization MINNESOTA Final Report of LANDSAT data in natural resource control. Results obtained J. E. Weaver. Principal Investigator Aug. 1978 53 p refs through this research showed that LANDSAT data can be used Original contains color imagery. Original photography may be to develop monitoring programs in the tropical forest areas of purchased from the EROS Data Center. Sioux Falls. S. D. 57198 Brazil. EREP (Contract NAS9-15200) N7*-13432*)C Institute de Pesquisas Espaciais. Sao Jose dos (E79-10034: NASA-CR-151383; LEC-12262) Avail: NTIS Campos (Brazil). HC A04/MF A01 CSCL 08F EVALUATION Of REFORESTED AREAS UMNO LANDSAT IMAGERY [ESTABELECIMENTO DE METOOOLOGIA PARA AVAUACAO DE POVOAMENTOS FLORESTAIS ART1FI- CIAIS. UT1UZANDO-SE DADOS DO LAHDSAT] Nelson deJesusParada. Principal Investigator. Pedro Hernandez N79-13444*# Environmental Research Inst. of Michigan, Ann Filho. and Yosio Edemir Shimabukuro Jun. 1978 173 p refs Arbor. In PORTUGUESE; ENGLISH summary Sponsored by NASA ANALYSIS OF SCANNER DATA FOR CROP INVENTORIES ERTS Progress Report. 15 Jun. - 11 Sep. 1978 (E79-10019: NASA-CR-157908: INPE-1271-TPT/089) Avail: John E. Colwell. Principal Investigator, Richard J. Kauth, Richard NTIS HC A08/MF A01 CSCL 02F C. Cicone. and William A. Malila Sep. 1978 143 p refs The author has identified the following significant results. EREP Visual and automatic interpretation of LANDSAT imagery was (Contract NAS9-15476) used to classify the general Pinus and Eucalyptus according to (E79-10037; NASA-CR-151840; ERIM-132400-12-P) Avail: their age and species. A methodology was derived, based on NTIS HC A07/MF A01 CSCL 02C training areas, to define the legend and spectral characteristics of the analyzed classes. Imager analysis of the training areas show that Pinus taeda is separable from the other Pinus species based on JM distance measurement. No difference of JM N79-13446*# Purdue Univ., Lafayette. Ind. Lab. for Applications measurements was observed among Eucalyptus species. Two of Remote Sensing. classes of Eucalyptus were separated according to their ages: ANALYSIS OF THE EFFECTS OF INTERPOLATION AND those under and those over two years of age.Channels 6 and 7 ENHANCEMENT OF LANDSAT 1 DATA ON CLASSIFICA- were suitable for the discrimination of the reforested classes. TION AND AREA ESTIMATION ACCURACY Channel 5 was efficient to separated reforested areas from N. Chu. Principal Investigator. C. McGillem. and P. Anuta 4 Nov. nonforested targets in the region. The automatic analysis shows 1977 22 p refs EREP the highest classification precision was obtained for Eucalyptus (Contract NAS9-14970) over two years of age (95.12 percent). (E79-10038: NASA-CR-151839: LARS-TR-110477) Avail: NTIS HC A02/MF A01 CSCL 05B N7*-134M*# Institute de Pesquisas Espaciais, Sao Jose dos Campos (Brazil). EVALUATION OF SPECTRAL CHANNELS AND WAVE- LENGTH REGIONS FOR SEPARABILITY OF AGRICUL- TURAL COVER TYPES Nelson deJesusParada. Principal Investigator and R. Kumar Sep. N79-13448*# National Aeronautics and Space Administration. 1977 12 p refs Presented at Intern. Symp. on Remote Sensing Lyndon B. Johnson Space Center. Houston. Tex. of Environment, Ann Arbor. Mich.. Apr. 1977 Sponsored by LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). 01 AGRICULTURE AND FORESTRY

LACIi PHASE 3 ANALYST FIELD TRIP PLAN LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). [1978] 19 p Sponsored by NASA, NOAA. and USD A EREP LACIE PHASE 2 ACCURACY ASSESSMENT PLAN (E79-10041. NASA-TM-79908; LACIE-00623. JSC-11680) Nov. 1976 116 p refs Sponsored by NASA. NOAA. and Avail: NTIS HC A02/MF A01 CSCL 02C USDA Original contains imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 EREP (E79-10048: NASA-TM-79915: LACIE-00621; JSC-11665) N79-13449*fjl National Aeronautics and Space Administration. Avail: NTIS HC A06/MF A01 CSCL 02C Lyndon B. Johnson Space Center. Houston, Tex. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). LACIE TRANSITION YEAR OPERATIONS PLAN Dec. 1977 41 p Sponsored by NASA. NOAA. and USDA N79-13466*rfl National Aeronautics and Space Administration. EREP Lyndon B. Johnson Space Center. Houston. Tex. (E79-10042; NASA-TM-79909: LACIE-00627: JSC-11704) LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). Avail: NTIS HC A03/MF A01 CSCL 02C TEST AND EVALUATION PLAN FOR KSU AND CCEA PHASE 3 YIELD MODELS T. L Barnett. Principal Investigator Apr. 1977 16 p Sponsored N79-13460*| National Aeronautics and Space Administration. by NASA. NOAA. and USDA EREP Lyndon B. Johnson Space Center. Houston, Tex. (E79-10049: NASA-TM-79916: LACIE-00622: JSC-11677) LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). Avail: NTIS HC A02/MF A01 CSCL 02C LACIE PHASE 3 INTERIM ACCURACY ASSESSMENT PLAN Mar. 1978 134 p rets Sponsored by NASA. NOAA. and USDA EREP N79-13487*/)( National Aeronautics and Space Administration. (E79-10043; NASA-TM-79910: LACIE-00628; JSC-13733) Lyndon B. Johnson Space Center. Houston. Tex. Avail: NTIS HC A07/MF A01 CSCL 02C LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). IMPLEMENTATION PLAN FOR OPERATIONS COORDINA- TION CENTER Apr. 1975 17 p Sponsored by NASA. NOAA. and USDA EREP N79-13461*jjl National Aeronautics and Space Administration. (E79-10050; NASA-TM-79917: LACIE-00600) Avail: NTIS Lyndon B. Johnson Space Center, Houston. Tex. HC A02/MF A01 CSCL 02C LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). LACIE PHASE 3 ACCURACY ASSESSMENT PLAN Sep. 1978 137 p rets Sponsored by NASA. NOAA. and USDA EREP N79-134M*! National Aeronautics and Space Administration. (E79-10O44; NASA-TM-79911; LACIE-00630: JSC-13743) Lyndon B. Johnson Space Center. Houston. Tex. Avail: NTIS HC A07/MF A01 CSCL 02C LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). LACIE CAMS TRAINING PLAN Apr. 1975 48 p Sponsored by NASA. NOAA. and USDA EREP N79-13462*| National Aeronautics and Space Administration. (E79-10051; NASA-TM-79918; LACIE-00601) Avail: NTIS Lyndon B. Johnson Space Center, Houston, Tex. HC A03/MF A01 CSCL 02C LARGE AREA CHOP INVENTORY EXPERIMENT (LACIE). LACIE INTEGRATED DROUGHT PLAN May 1976 29 p Sponsored by NASA. NOAA. and USDA EREP N79-13469*)jf National Aeronautics and Space Administration. (E79-10045: NASA-TM-79912; LACIE-00613: JSC-10828) Lyndon B. Johnson Space Center. Houston. Tex. Avail: NTIS HC A03/MF A01 CSCL 02C LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). LACIE QUICK LOOK ACCURACY ASSESSMENT REPORT. N79-13463*jf National Aeronautics and Space Administration. REVIEW OF THE DECEMBER 17. 197S CAR Lyndon B. Johnson Space Center. Houston, Tex. 30 Dec. 1976 13 p Sponsored by NASA. NOAA. and USDA LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). EREP PHASE 1 ACCURACY ASSESSMENT PLAN (E79-10052: NASA-TM-79919: LACIE-CDOO438; JSC-11667) Jan. 1976 59 p Sponsored by NASA, NOAA. and USDA Avail: NTIS HC A02/MF A01 CSCL 02C EREP (E79-10046; NASA-TM-79913; LACIE-00610; JSC-10812) Avail: NTIS HC A04/MF A01 CSCL 02C N79-1344O*|C National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). N79-13464*jP National Aeronautics and Space Administration. LEVEL 3 BASELINE: LACIE OPERATIONS PLAN Lyndon B. Johnson Space Center. Houston. Tex. 11 Jul. 1975 75 p Sponsored by NASA. NOAA. and USDA LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). EREP LEVEL 3 SASEUNE; LACIE INFORMATION EVALUATION (E79-10053: NASA-TM-79920; LACIE-C00602) Avail: NTIS (IE) IMPLEMENTATION/OPERATIONS PLAN HC AO4/MF A01 CSCL 02C Sep. 1976 52 p Sponsored by NASA, NOAA. and USDA EREP (E79-10O47; NASA-TM-79914: LACIE-C00618: JSC-11339) Avail: NTIS HC A04/MF A01 CSCL 02C N79-134S1*|P National Aeronautics and Space Administration. Lyndon B. Johnson Space Center, Houston. Tex. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). LEVEL 3 BASELINE: LACIE PROJECT DOCUMENTATION PLAN N79-13466*jjf National Aeronautics and Space Administration. Aug. 1975 59 p refs Sponsored by NASA, NOAA. and USDA Lyndon B. Johnson Space Center. Houston. Tex. F.REP 01 AGRICULTURE AND FORESTRY

(E79-10054: NASA-TM-79921; LACIE-COO603; JSC-09851) N79-13466*jjl National Aeronautics and Space Administration. Avail: NTIS HC A04/MF A01 CSCL 02C Lyndon B. Johnson Space Center. Houston. Tex. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). LANDSAT 3X GAIN STUDY Oct. 1975 40 p refs Sponsored by NOAA and USDA EREP (Contract NAS9-12200) N79-13462*jjl National Aeronautics and Space Administration. (E79-10059: NASA-TM-79926; LACIE-00500: JSC-09868) Lyndon B. Johnson Space Center. Houston. Tex. Avail: NTIS HC A03/MF A01 CSCL 02C LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). The author has identified the following results. The maximum DETECTION OF EPISODIC PHENOMENA ON LANDSAT likelihood classifier on the ERIP'S failed to show any improvement IMAGERY in accuracy when comparing high-gain LANDSAT data with the C. M. Chesnutwood. Principal Investigator May 1976 29 p simulated normal-gain data. Even if an improvement in accuracy Sponsored by NASA. NOAA. and USDA Original contains color had been detected, the timespan within the crop growing season imagery. Original photography may be purchased from the EROS when the use of high-gain data could be advantageous is limited. Data Center. Sioux Falls. S. D. 57198 EREP A total of six sets of LANDSAT-1 imagery is available for the (E79-10055: NASA-TM-79922; LACIE-CD00501; JSC-11328) analysis of gain effects. Three of the sets are high-gain data in Avail: NTIS HC A03/MF A01 CSCL 02C MSS bands 4 and 5. whereas the other three are simulated The author has identified the following significant results. normal-gain. The four sets obtained over Imperial Valley have Episodic phenomena such as rainfall shortly before data pass, good supporting ground truth information for training: the two thin translucent clouds, cloud shadows, and aircraft condensation sets over Kansas do not. The use of various combinations of trails and their shadows are responsible for changes in the spectral the six data sets is recommended in order to uncover the possible reflectivities of some surfaces. These changes are readily advantages of using the data. detected on LANDSAT full-frame imagery. Histograms of selected areas in Kansas show a distinct decrease in mean radiance values, but also, an increase in scene contrast, in areas where recent rains had occurred. Histograms from a few individual fields indicate N79-13467*f Institute de Pesquisas Espaciais. Sao Jose dos that the mean radiance values for winter wheat followed a Campos (Brazil). different trend after a rainfall than alfalfa or grasses. PROJECT SUDAM: USE OF LANDSAT DATA TO STUDY THE IMPACT OF AGRICULTURAL PROJECTS IN THE N79-13463*jjl National Aeronautics and Space Administration. AMAZON [PROJETO SUDAM: USD DE DADOS DO Lyndon B. Johnson Space Center, Houston. Tex.. LANDSAT NO ESTUDO DO IMPACTO DA IMPLANTACAO LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). DE PROJETOS AGROPECUARIOS DA AMAZONIA] SECOND-GENERATION SAMPLING STRATEGY EVALUA- Nelson deJesusParada. Principal Investigator, Antonio Tebaldi TION REPORT Tardin. Armando Pacheco dosSantos, and Evlyn Marcia Leao J. P. Basu. Principal Investigator. S. M. Dragich. and D. P. deMoraisNovo Oct. 1977 23 p In PORTUGUESE Sponsored McGuigan Jul. 1978 200 p refs Sponsored by NOAA and by NASA ERTS USDA EREP (E79-10060: NASA-CR-157928: INPE-1136-NTE/106) Avail: (Contract NAS9-15200) NTIS HC A02/MF A01 CSCL 05B (E79-10056: NASA-TM-79923; LACIE^00465: JSC-13729; LEC-11492) Avail: NTIS HC A09/MF A01 CSCL 02C The author has identified the following significant results. The stratification procedure in the new sampling strategy for LACIE included: (1) correlation test results indicating that an N79-13469*| National Aeronautics and Space Administration. agrophysical stratum may be homogeneous wi:h respect to Lyndon B. Johnson Space Center, Houston. Tex. agricultural density, but not with respect to wheat density; and LACIE TRANSITION PROTECT. FY 1978-1979: RE- (2) agrophysical unit homogeneity test results indicating that ANALYSIS OF CCEA 1 US GREAT PLAINS WHEAT YIELD with respect to agricultural density many agrophysical units are MODELS not homogeneous, but removal of one or more refined strata Clarence M. Sakamoto. Principal Investigator (NOAA) Jun. 1978 from any such current agrophysical unit can make the strata 107 p refs Sponsored by NASA. NOAA. and USDA EREP homogeneous. The apportioning procedure results indicated that (E79-10062; NASA-TM-79927: LACIE-00472: JSC-13740: the current procedure is not performing well and that the CCEA-TR-78-3) Avail: NTIS HC A06/MF A01 CSCL 02C apportioned estimates of rofined strata wheet area are often unreliable.

N79-134A4*| National Aeronautics and Space Administration. N79-13470*j(f National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center, Houston, Tex. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). EFFECTS OF NON-RESPONSE INCLUDING CLOUD COVER DETECTING AND MONITORING AGRICULTURAL VEGETA- ON AGGREGATION OF WHEAT AREA IN THE US GREAT TIVE WATER STRESS OVER LARGE AREAS USING PLAINS LANDSAT DIGITAL DATA A. Glen Houston. Principal Investigator Dec. 1976 40 p David R. Thompson and Oscar A. Wehmanen, Principal Investiga- Sponsored by NASA, NOAA. and USDA EREP tors Apr. 1978 26 p refs Sponsored by NASA. NOAA. and (E79-10057: NASA-TM-79924: LACIE-00441; JSC-1 1672) USDA EREP Avail: NTIS HC A03/MF A01 CSCL 02C (E79-10063: NASA-TM-79928: LACIE-00506: JSC-13737) Avail. NTIS HC A03/MF A01 CSCL 02C The author has identified the following significant results. The Green Number Index technique which uses LANDSAT digital data from 5x6 nautical mile sampling frames was expanded to evaluate its usefulness in detecting and monitoring vegetative N79-1346S*|fl National Aeronautics and Space Administration. water stress over the Great Plains. At known growth stages for Lyndon B. Johnson Space Center, Houston, Tex. wheat, segments were classified as drought or non drought. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). Good agreement was found between the 18 day remotely sensed LACIE CROP CALENDAR TEST AND EVALUATION PLAN data and a weekly ground-based crop moisture index. Operational Nov. 1975 21 p refs Sponsored by NASA. NOAA and USDA monitoring of the 1977 U.S.S.R. and Australian wheat crops EREP indicated drought conditions. Drought isoline maps produced by (E79-10058: NASA-TM-79925: LACIE-00608: JSC-09871) the Green Number Index technique were in good agreement Avail: NTIS HC A02/MF A01 CSCL 02C with conventional sources.

10 01 AGRICULTURE AND FORESTRY

N79-1443O*# National Aeronautics and Space Administration. (California Univ., Berkeley) In its Independent Peer Evaluation Lyndon B. Johnson Space Center. Houston. Tex. of the Large Area Crop Inventory Experiment (LACIE): The INDEPENDENT PEER EVALUATION OF THE LARGE AREA LACIE Symp. Oct. 1978 p 23-26 EREP CROP INVENTORY EXPERIMENT (LACIE): THE LACIE SYMPOSIUM Avail: NTIS HC A03/MF A01 CSCL 02C Oct. 1978 41 p refs Symp. held at Houston. Tex. 23-26 Oct. 1978 Sponsored by NASA. USDA. and NOAA EREP (E79-10009; NASA-TM-79904: JSC-14550) Avail: NTIS HC A03/MF A01 CSCL 02C N79-14436*# National Aeronautics and Space Administration. Yield models and crop estimate accuracy are discussed within Lyndon B. Johnson Space Center, Houston. Tex. the Large Area Crop Inventory Experiment. The wheat yield FINDINGS OF THE DATA PROCESSING SYSTEMS DESIGN estimates in the United States. Canada, and U.S.S.R. are PEER GROUP emphasized. Experimental results design, system implementation, D. Goodenough (Canadian Center for Remote Sensing). J. Sulester data processing systems, and applications were considered. (NASA. Johnson Space Center). J. Kast (Purdue Univ.). and T. Phillips. Principal Investigators (Purdue Univ.) In its Independent Peer Evaluation of the Large Area Crop Inventory Experiment N79-14431*# National Aeronautics and Space Administration. (LACIE): The LACIE Symp. Oct. 1978 p 27-34 refs EREP Lyndon B. Johnson Space Center. Houston. Tex. AN INDEPENDENT EVALUATION BY THE PLENARY PEER Avail: NTIS HC A03/MF A01 CSCL 02C REVIEW TEAM D. Paarlberg (Purdue Univ.), L Eisgruber (Oregon State Univ.). B. A. Scherr (Data Resources. Inc.). H. 0. Hartley (Texas A and M Univ.). D. Ingram (IBM). J. Quirein, D. Goodenough (Canadian N79-14436*# National Aeronautics and Space Administration. Center for Remote Sensing). G. Nagy (Nebraska Univ., Lincoln). Lyndon B. Johnson Space Center. Houston. Tex. R. Holmes (GM Inst.). and R. Shay. Principal Investigators (Oregon FINDINGS OF THE USDA APPLICATIONS TEST SYSTEM State Univ.) In its Independent Peer Evaluation of the Large PEER GROUP Area Crop Inventory Experiment (LACIE): The LACIE Symp. G. Nagy (Nebraska Univ.. Lincoln). J. D. Murphy (USDA Foreign Oct. 1978 p 1-8 refs EREP Agricultural Service, Houston. Tex.), D. W. Gary (CIA), H. Harkness (Sparks Commodities, Inc.), R. Head (USDA Office of Automated Avail: NTIS HC A03/MF A01 CSCL 02C Data Systems, Washington, D. C.). R. Henderson (MITRE Corp.), R. LeGault (ERIM). and R. McArdle. Principal Investigators (USDA World Food and Agricultural Outlook and Situation Board, Washington, D. C.) In its Independent Peer Evaluation of the N79-14432*# National Aeronautics and Space Administration. Large Area Crop Inventory Experiment (LACIE): The LACIE Symp. Lyndon B. Johnson Space Center. Houston. Tex. Oct. 1978 p 35-38 EREP FINDINGS OF THE EXPERIMENT RESULTS PEER GROUP L. Eisgruber (Oregon State Univ.). B. A. Scherr (Data Resources. Avail: NTIS HC A03/MF A01 CSCL 02C Inc.), F. G. Hall (NASA. Johnson Space Center). B. Blad (Nebraska Univ.). W. Coberly (Tulsa Univ.). A. M. Feyerherm (Kansas State Univ.). G. Hanuschak (USDA Economics. Statistics, and Coopera- tives Service, Washington, D. C.). K. Heiss (ECON. Inc.), F. Lamb N79-14437*# National Aeronautics and Space Administration. (Eastern Oregon Farming Co.). and R. E. Selzer, Principal Lyndon B. Johnson Space Center, Houston. Tex. Investigators (Development Planning and Research, Assoc.) In FINDINGS OF THE LACIE SUPPORTING RESEARCH PEER its Independent Peer Evaluation of the Large Area Crop Inventory GROUP Experiment (LACIE): The LACIE Symp. Oct. 1978 p 11-14 R. Holmes (GM Inst.). R. Shay (Oregon State Univ.). J. D. Erickson EREP (NASA. Johnson Space Center). W. Anderson (USGS), J. Estes Avail: NTIS HC A03/MF A01 CSCL 02C (California Univ., Santa Barbara), C. Hay (California Univ., Berkeley), R. Jensen (NOAA National Weather Service, Honolulu, Hawaii). R. W. Learner IUSDA Science and Education Administra- tion, Weslaco. Tex.), B. Liska (Purdue Univ.), and R. Welch. N79-14433*| National Aeronautics and Space Administration. Principal Investigators (NASA. Ames Res. Center) In its Lyndon B. Johnson Space Center, Houston, Tex. Independent Peer Evaluation of the Large Area Crop Inventory FINDINGS OF THE EXPERIMENT DESIGN PEER GROUP Experiment (LACIE): The LACIE Symp. Oct. 1978 p 39-40 H. O. Hartley (Texas A and M Univ.). R. P. Heydorn (NASA. refs Johnson Space Center). J. Chromy (Research Triangle Inst.), L. Avail: NTIS HC A03/MF A01 CSCL 02C Guseman (Texas A and M Univ.), D. Heerman (USDA Science and Education Administration, Fort Collins, Colo.). R. Thomas (California Univ., Berkeley), and, L. Thompson, Principal Investiga- tors (Iowa State Coll. of Agriculture) In its Independent Peer Evaluation of the Large Area Crop Inventory Experiment (LACIE): The LACIE Symp. Oct. 1978 p 15-22 EREP N79-14449*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center, Houston, Tex. Avail: NTIS HC A03/MF A01 CSCL 02C PROCEEDINGS OF PLENARY SESSION: THE LACIE SYMPOSIUM Oct. 1978 130 p refs Symp. held at Houston. Tex.. 23-26 Oct. 1978 Sponsored by NASA. USDA, and NOAA Original contains imagery. Original photography may be purchased from the EROS N79-14434*# National Aeronautics and Space Administration. Data Center, Sioux Falls, S. D. 57198 EREP Lyndon B. Johnson Space Center. Houston. Tex. (E79-10028: NASA-TM-79906: JSC-14551) Avail: NTIS FINDINGS OF THE SYSTEM IMPLEMENTATION AND HC A07/MF A01 CSCL 02C OPERATIONS PEER GROUP A technology assessment of the LACIE data processing and D. Ingram (IBM). J. Quirein Schlumberger. C. Johannsen (Missouri information systems was discussed during the Large Area Crop Univ.). J. L. Dragg (NASA. Johnson Space Center), S. DeGloria Inventory Experiment Symposium. Crop inventories of wheat yield (California Univ.. Berkeley). D. Saxton (NOAA Environmental Data in the United States as well as several other nations (such as and Information Service, Washington. D. C.). J. Sos, Principal the U.S.S.R., Canada, etc.) were discussed, along with the Investigators (NASA. Goddard Space Center), and S. Wall methodology involved in acquiring this data.

11 01 AGRICULTURE AND FORESTRY

N79-14450*# National Aeronautics and Space Administration. N79-14467*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center, Houston. Tex. THE STATUS OF EXISTING GLOBAL CROP FORECAST- THE OUTLOOK FOR SATELLITE REMOTE SENSING FOR ING CROP INVENTORY Bruce A. Scherr (Data Resources. Inc.). William E. Kibler (USDA R. Bryan Erb (NASA. Johnson Space Center). Robert E. Tokerud Economics, Statistics, and Cooperatives Service. Washington, (Lockheed Electronics Co.. Houston, Tex.), and Robert B. D. C.), and Forrest G. Hall. Principal Investigators (NASA. MacDonald, Principal Investigators (NASA. Johnson Space Johnson Space Center) In its Proc. of the Plenary Session: Center) In its Proc. of the Plenary Session: The LACIE Symp. The LACIE Symp. Oct. 1978 p 1-16 refs EREP Oct. 1978 p 125-131 EREP

Avail: NTIS HC A07/MF A01 CSCL 02C Avail: NTIS HC A07/MF A01 CSCL 02C

N79-14451*# National Aeronautics and Space Administration. N79-14468*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center, Houston, Tex. Lyndon B. Johnson Space Center. Houston. Tex. LACIE: AN EXPERIMENT IN GLOBAL CROP FORECAST- BRIEFING MATERIALS FOR TECHNICAL PRESENTATIONS. ING VOLUME A: THE LACIE SYMPOSIUM R. B. MacDonald and F. G. Hall, Principal Investigators In its Oct. 1978 239 p Symp. held at Houston. Tex.. 23-26 Oct. Proc. of the Plenary Session: The LACIE Symp. Oct. 1978 1978 Sponsored by NASA. MSDA, and NOAA Original contains p 17-48 refs Original contains imagery. Original photography imagery. Original photography may be purchased from the EROS may be purchased from the EROS Data Center, Sioux Falls, Data Center, Sioux Falls, S. D. 57198 EREP S. D. 57198 EREP (E79-10030: NASA-TM-79930: JSC-14557-Vol-A) Avail: NTIS HCA11/MFA01 CSCL 02C Avail: NTIS HC A07/MF A01 CSCL 02C Tables, charts, and outlines of various segments within the The author has identified the following significant results. Large Area Crop Inventory Experiment are presented. Experiment Both the accuracy and efficiency with which LACIE crop survey design, system implementation and operations, and data estimates were made have shown significant improvement in processing system design were considered. three years. In the U.S. and U.S.S.R. winter wheat regions, the original accuracy goals were met or exceeded, with 90/90 estimates achieved in the United States 1.5 to 2 months before N79-14469*| National Aeronautics and Space Administration. harvest. Additionally, all available accuracy parameters indicate Lyndon B. Johnson Space Center. Houston. Tex. 90/90 estimates for the U.S.S.R. total crop. Key technology EXPERIMENT DESIGN SESSION: EXPERIMENT DESIGN problems were identified during phase 2 with spring wheat in OVERVIEW the United States and Canada which prevented the attainment C. Hallum. Principal Investigator In its Briefing Mater, for Tech. of 90/90 accuracies in these regions. Technology solutions Presentations. Vol. A: The LACIE Symp. Oct. 1978 p 1-6 developed and tested in phase 3 partly resolved these issues EREP with a significant improvement realized in the accuracy of the Avail: NTIS HCA11/MFA01 CSCL 02C spring wheat area estimates.

N79-14462*)C National Aeronautics and Space Administration. N79-1446O*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center, Houston. Tex. Lyndon B. Johnson Space Center. Houston, Tex. LACIE APPLICATIONS EVALUATION SYSTEM: A DESIGN EXPERIMENT DESIGN SESSION: SAMPLING AND OVERVIEW AGGREGATION IN LACIE J. L. Dragg. W. E. Hensley. R. 0. Hill. R. G. Musgrove. and T. C. Hallum. Principal Investigator In its Briefing Mater, for Tech. T. White. Principal Investigators In its Proc. of the Plenary Presentations. Vol. A: The LACIE Symp. Oct. 1978 p 7-18 Session: The LACIE Symp. Oct. 1978 p 49-63 refs EREP EREP Avail: NTIS HCA11/MFA01 CSCL 02C Avail: NTIS HC A07/MF A01 CSCL 02C

N79-144A1*| National Aeronautics and Space Administration. N79-14463*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center. Houston. Tex. EXPERIMENT DESIGN SESSION: GROWTH STAGE THE LACIE SUPPORTING RESEARCH PROGRAM: A ESTIMATION FOCUSED APPROACH TO RESEARCH AND DEVELOP- V. Whitehead. Principal Investigator In its Briefing Mater, for MENT Tech. Presentations. Vol. A: The LACIE Symp. Oct. 1978 Jon D. Erickson, Richard P. Heydorn. Milton C. Trichel. and Allen p 19-20 EREP L. Grandfield, Principal Investigators In its Proc. of the Plenary Avail: NTIS HCA11/MFA01 CSCL 02C Session: The LACIE Symp. Oct. 1978 p 65-89 refs Original contains imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 EREP N79-14462*j? National Aeronautics and Space Administration. Avail: NTIS HC A07/MF A01 CSCL 02C Lyndon B. Johnson Space Center. Houston. Tex. There are no author-identified significant results in this EXPERIMENT DESIGN SESSION: WHEAT YIELD MODEL DEVELOPMENT C. Sakamoto. Principal Investigator (NOAA) In its Briefing Mater, N79-14464*$ National Aeronautics and Space Administration. for Tech. Presentations. Vol. A: The LACIE Symp. Oct. 1978 Lyndon B. Johnson Space Center. Houston. Tex. p 31-48 EREP DATA PROCESSING SYSTEMS IN SUPPORT OF LACIE AND Avail: NTIS HCA11/MFA01 CSCL 02C FUTURE AGRICULTURAL RESEARCH PROGRAMS Donald H. Hay. Principal Investigator In its Proc. of the Plenary Session: The LACIE Symp. Oct. 1978 p 91-104 refs EREP N79-14463*| National Aeronautics and Space Administration. Avail: NTIS HC A07/MF A01 CSCL 02C Lyndon B. Johnson Space Center. Houston. Tex.

12 01 AGRICULTURE AND FORESTRY

EXPERIMENT DESIGN SESSION: CLASSIFICATION AND SYSTEM IMPLEMENTATION AND OPERATIONS SESSION: MENSURATION APPROACH SYSTEM IMPLEMENTATION AND APPROACHES USED R P. Heydorn. Principal Investigator In its Briefing Mater, for FOR GENERATION OF CROP PRODUCTION REPORTS Tech. Presentations. Vol. A: The LACIE Symp. Oct. 1978 p R. E. Hatch. Principal Investigator (USDA) In its Briefing Mater, 49-68 Original contains imagery. Original photography may for Tech. Presentations. Vol. A: The LACIE Symp. Oct. 1978 be purchased from EROS Data Center. Sioux Falls. S. D. 57198 p 129-140 EREP EREP Avail: NTIS HC A1 1/MF A01 CSCL 02C Avail: NTIS HCA11/MFA01 CSCL 02C

N79-14470*# National Aeronautics and Space Administration. N79-14464*| National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center. Houston. Tex. SYSTEM IMPLEMENTATION AND OPERATIONS SESSION: EXPERIMENT DESIGN SESSION: ACCURACY ASSESS- ACCURACY ASSESSMENT. SYSTEM IMPLEMENTATION MENT. THE STATISTICAL APPROACH TO PERFORMANCE AND OPERATION EVALUATION D. E. Pitts. Principal Investigator In its Briefing Mater, for Tech. G. Houston. Principal Investigator In its Briefing Mater, for Presentations. Vol. A: The LACIE Symp. Oct. 1978 p 141-163 Tech. Presentations. Vol. A: The LACIE Symp. Oct. 1978 Original contains imagery. Original photography may be purchased p 69-82 EREP from the EROS Data.Center. Sioux Falls, S. D. 57198 EREP Avail: NTIS HC A1 1/MF A01 CSCL 02C Avail: NTIS HCA11/MFA01 CSCL 02C

N79-14486*jjl National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. N79-14471 *# National Aeronautics and Space Administration. SYSTEM IMPLEMENTATION AND OPERATIONS SESSION: Lyndon B. Johnson Space Center. Houston. Tex. THE LACIE APPLICATION EVALUATION SYSTEM (AES). SYSTEM IMPLEMENTATION AND OPERATIONS SESSION: A DESIGN OVERVIEW LACIE AES EFFICIENCY REPORT R. 0. Hill. Principal Investigator In its Briefing Mater, for Tech T. T. White. Principal Investigator In its Briefing Mater, for Presentations, Vol. A: The LACIE Symp. Oct. 1978 p 83-96 Tech. Presentations. Vol. A: The LACIE Symp. Oct. 1978 p EREP 165-173 EREP Avail: NTIS HCA11/MFA01 CSCL 02C Avail: NTIS HCA11/MFA01 CSCL 02C

N79-144S6*# National Aeronautics and Space Administration. N79-14472*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center. Houston. Tex. SYSTEM IMPLEMENTATION AND OPERATIONS SESSION: DATA PROCESSING SYSTEMS DESIGN SESSION: DATA ACQUISITION AND PREPROCESSING OF LANDSAT PROCESSING SYSTEMS OVERVIEW DATA D. H. Hay. Principal Investigator In its Briefing Mater, for Tech. L Brown. Principal Investigator (NASA. Goddard Space Flight Presentations. Vol. A: The LACIE Symp. Oct. 1978 p 175-183 Center) In its Briefing Mater, for Tech. Presentations. Vol. A: EREP The LACIE Symp. Oct. 1978 p 97-102 EREP Avail. NTIS HCA11/MFA01 CSCL 02C Avail: NTIS HCA11/MFA01 CSCL 02C

N79-14473*fjl National Aeronautics and Space Administration. N79-144S7*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center, Houston. Tex. DATA PROCESSING SYSTEMS DESIGN SESSION: SYSTEM IMPLEMENTATION AND OPERATIONS SESSION: EVOLUTION OF THE EARTH RESOURCES INTERACTIVE CLASSIFICATION AND MENSURATION. AN APPROACH PROCESSING SYSTEM (ERIPS) TO LANDSAT DATA ANALYSIS FOR CROP IDENTIFICA- J. Lyon. Principal Investigator In its Briefing Mater, for Tech. TION Presentations. Vol. A: The LACIE Symp. Oct. 1978 p 185-191 R. Biffell. Principal Investigator In its Briefing Mater, for Tech. EREP Presentations, Vol. A: The LACIE Symp. Oct. 1978 p 103-120 Avail: NTIS HCA11/MFA01 CSCL 02C Original contains imagery. Original photography may be purchased from the EROS Data Center, Sioux Falls, S. D. 57198 EREP

Avail: NTIS HCA11/MFA01 CSCL 08B N79-14477*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. DATA PROCESSING SYSTEMS DESIGN SESSION: THE CARTOGRAPHIC LABORATORY N79-14488*# National Aeronautics and Space Administration. M. Rader. Principal Investigator In its Briefing Mater, for Tech. Lyndon B. Johnson Space Center, Houston, Tex. Presentations. Vol. A: The LACIE Symp. Oct. 1978 p 225-234 SYSTEM IMPLEMENTATION AND OPERATIONS SESSION: Original contains imagery. Original photography may be purchased IMPLEMENTATION AND OPERATION OF YIELD FORE- from the EROS Data Center. Sioux Falls. S. D. 57198 EREP CASTING AND CROP GROWTH STAGE ESTIMATION D. McCrary. Principal Investigator (NOAA) In its Briefing Mater, Avail: NTIS HCA11/MFA01 CSCL 02C for Tech. Presentations, Vol. A: The LACIE Symp. Oct. 1978 p 121-128 EREP N79-1446O*# National Aeronautics and Space Administration. Avail: NTIS HCA11/MFA01 CSCL 02C Lyndon B. Johnson Space Center. Houston. Tex. BRIEFING MATERIALS FOR TECHNICAL PRESENTATIONS. VOLUME B: THE LACIE SYMPOSIUM Oct. 1978 251 p Symp. held at Houston. Tex.. 23-26 Oct. N79-14469*# National Aeronautics and Space Administration. 1978 Sponsored by NASA. USDA. and NOAA Original contains Lyndon B. Johnson Space Center, Houston. Tex. imagery. Original photography may be purchased from the EROS

13 01 AGRICULTURE AND FORESTRY

Data Center. Sioux Falls. S. 0. 57198 EREP SUPPORTING RESEARCH AND TECHNOLOGY (SRT) (E79-10031: NASA-TM-79929; JSC-14557-Vol-B) Avail: SESSION: SUPPORTING RESEARCH. A FOCUSED NTIS HCA12/MF&01 CSCL 02C APPROACH TO RESEARCH DEVELOPMENT Tables, charts, and LACIE segments are used to demonstrate J. Erickson. Principal Investigator In its Briefing Mater, for Tech. the accuracy of estimated crop conditions and yield from 1974 Presentations. Vol. B: The LACIE Symp. Oct. 1978 p 361-376 to 1976. and to demonstrate the benefits of meteorological and Original contains imagery. Original photography may be purchased LANDSAT data. Developments in data acquisition, sampling, and from the EROS Data Center. Sioux Falls. S. D. 57198 EREP reduction are reviewed. The USDA application test system is highlighted with emphasis on user requirements, technology Avail: NTIS HC A12/MF A01 CSCL 02C transfer, data base design, and cost data models for data base operation and management.

N79-14487*jjf National Aeronautics and Space Administration. N79-14481*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center, Houston, Tex. SUPPORTING RESEARCH AND TECHNOLOGY (SRT) EXPERIMENT RESULTS SESSION: LACIE CROP YEARS. SESSION: METHODS FOR SEGMENT WHEAT AREA AN ASSESSMENT OF CROP CONDITIONS ESTIMATION J. Hill, Principal Investigator (NOAA) In its Briefing Mater, for R. P. Heydorn. Principal Investigator In its Briefing Mater, for Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 p 261-288 Original contains imagery. Original photography p 377-393 Original contains imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls, may be purchased from the EROS Data Center. Sioux Falls. S. D. S. D. 57198 EREP 57198 EREP Avail: NTIS HC A12/MF A01 CSCL 02C Avail: NTIS HC A12/MF A01 CSCL 02C

N79-14488*jjl National Aeronautics and Space Administration. N79-14482*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center. Houston. Tex. SUPPORTING RESEARCH AND TECHNOLOGY (SRT) EXPERIMENT RESULTS SESSION: ACCURACY AND SESSION: MANUAL IDENTIFICATION OF CROP TYPES PERFORMANCE OF LACIE ESTIMATES C. Hay, Principal Investigator (California Univ.. Berkeley) In its G. Houston, Principal Investigator In its Briefing Mater, for Briefing Mater, for Tech. Presentations. Vol. B: The LACIE Symp. Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 Oct. 1978 p 395-411 Original contains imagery. Original p 293-316 refs Original contains imagery. Original photography photography may be purchased from the EROS Data Center. may be purchased from the EROS Data Center. Sioux Falls, Sioux Falls. S. D. 57198 EREP S. D. 57198 EREP Avail: NTIS HC A12/MF A01 CSCL 02C Avail: NTIS HC A12/MF A01 CSCL 02C

N79-14489*# National Aeronautics and Space Administration. N79-14483*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center. Houston. Tex. SUPPORTING RESEARCH AND TECHNOLOGY (SRT) EXPERIMENT RESULTS SESSION: ACCURACY AND SESSION: STATUS OF YIELD ESTIMATION TECHNOLOGY. PERFORMANCE OF LACIE YIELD ESTIMATES A REVIEW OF SECOND-GENERATION MODEL DEVELOP- D. Phinney. Principal Investigator In its Briefing Mater, tor Tech. MENT Presentations. Vol. B: The LACIE Symp. Oct. 1978 p 317-332 R. Stuff. Principal Investigator In its Briefing Mater, for Tech. EREP Presentations. Vol. B: The LACIE Symp. Oct. 1978 p 413-435 AvaH: NTIS HC A12/MF A01 CSCL 02C EREP Avail: NTIS HC A12/MF A01 CSCL 02C

N79-14484*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. N79-14490*# National Aeronautics and Space Administration. EXPERIMENT RESULTS SESSION: ACCURACY AND Lyndon B. Johnson Space Center, Houston. Tex. PERFORMANCE OF LACIE CROP DEVELOPMENT MOD- SUPPORTING RESEARCH AND TECHNOLOGY (SRT) ELS SESSION: PREDICTION OF WHEAT PHENOLOGICAL S. Woolley. Principal Investigator In its Briefing Mater, for Tech. DEVELOPMENT. A STATE-OF-THE-ART REVIEW Presentations. Vol. B: The LACIE Symp. Oct. 1978 p 333-343 M. Seeley, Principal Investigator In its Briefing Mater, for Tech. EREP Presentations. Vol. B: The LACIE Symp. Oct. 1978 p 435-447 Avail: NTIS HC A12/MF A01 CSCL 02C EREP Avail: NTIS HC A12/MF A01 CSCL 02C

N79-14485*# National Aeronautics and Space Administration. N79-14491*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center, Houston, Tex. Lyndon B. Johnson Space Center, Houston, Tex. EXPERIMENT RESULTS SESSION: ECONOMIC EVALUA- SUPPORTING RESEARCH AND TECHNOLOGY (SRT) TION; CONCEPTS. SELECTED STUDIES. SYSTEM COST. SESSION: NEW DEVELOPMENTS IN SAMPLING AND AND A PROPOSED PROGRAM AGGREGATION FOR REMOTELY SENSED SURVEYS F. Osterhoudt. Principal Investigator (USDA) In its Briefing Mater, A. Feiveson. Principal Investigator In its Briefing Mater, for for Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 p 345-360 EREP p 449-463 EREP Avail: NTIS HC A12/MF A01 CSCL 02C Avail: NTIS HCA12/MFA01 CSCL 02C

N79-14486*| National Aeronautics and Space Administration. N79-14492*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. Lyndon B. Johnson Space Center. Houston. Tex.

14 01 AGRICULTURE AND FORESTRY

USDA APPLICATION TEST SYSTEM (ATS) SESSION: USDA APPLICATION TEST SYSTEM (ATS) SESSION: TECHNOLOGY TRANSFER; CONCEPTS. USER REQUIRE- RESOURCE MODELLING. A REALITY FOR PROGRAM COST MENTS. AND THEIR PRACTICAL APPLICATION ANALYSIS J. D. Murphy. Principal Investigator (USDA) In its Briefing Mater, L. Fouts, Principal Investigator (USDA) In its Briefing Mater, for Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 for Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 p 469-477 EREP p 533-543 EREP Avail: NTIS HCA12/MFA01 CSCL 02C Avail: NTIS HCA13/MFA01 CSCL 02C

N79-14493*# National Aeronautics and Space Administration. N79-14507# Civil and Environmental Engineering Development Lyndon B. Johnson Space Center. Houston. Tex. Office. Tyndall AFB. Fla. USDA APPLICATION TEST SYSTEM (ATS) SESSION: THE FLAME: FORESTRY LANDS ALLOCATED FOR MANAGING APPLICATION TEST SYSTEM, AN APPROACH FOR ENERGY. FEASIBILITY STUDY Final Report. Jun. - Aug. TECHNOLOGY TRANSFER 1978 F. C. David. Principal Investigator (USDA) In its Briefing Mater. James D. Lowther Sep. 1978 28 p refs for Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 (AD-A059993; CEEDO-TR-78-41) Avail: NTIS p 479-487 EREP HC A03/MF A01 CSCL 21/4 Avail: NTIS HC A12/MF A01 CSCL 02C This study evaluated the feasibility of using wood grown on USAF installations as fuel to supply the heating energy require- ments of the installations, replacing conventional fossil fuels currently being used. Arnold Engineering Development Center. Tennessee: Barksdale AFB. Louisiana: Eglin AFB, Florida: and N79-14494*# National Aeronautics and Space Administration. Tyndall AFB, Florida have the potential for supplying significant Lyndon B. Johnson Space Center. Houston. Tex. portions of their heating energy requirements with non- USDA APPLICATION TEST SYSTEM (ATS) SESSION: merchantable timber grown on the installations. Avon Park Air FUNCTIONAL DEFINITION AND DESIGN OF A USDA Force Range, Florida has the potential to supply its own small SYSTEM heating energy requirements plus those of MacDill AFB, which S. Evans. Principal Investigator (USDA) In its Briefing Mater. is 75 miles away. Arnold Engineering Development Center for Tech. Presentations. Vol. B: The LACIE Symp. Oct. 1978 presently has a central plant heating system. The system can p 489-496 EREP be converted to a wood-burning system by altering existing boilers Avail. NTIS HC A12/MF A01 CSCL 02C or replacing them with boilers having wood-firing capability. The remaining installations do not have central plant heating systems, but use small natural gas and oil-fired heating units in individual buildings. Conversion of these installations to burn wood would N79-14496*# National Aeronautics and Space Administration. require construction of a wood-fired central system or systems. Lyndon B. Johnson Space Center. Houston. Tex. An alternate method of converting these installations is through USDA APPLICATION TEST SYSTEM (ATS) SESSION: ATS. the use of a pyrolysis unit to convert wood to fuel gas and fuel TECHNICAL APPROACH AND SYSTEM DESIGN oil which can be burned in existing heating units. The latter R. Hurst, Principal Investigator (USDA) In its Briefing Mater, alternative cannot be implemented until a large scale, contin- for Tech. Presentations, Vol. B: The LACIE Symp. Oct. 1978 uously operated pyrolysis unit is developed. Author (GRA) p 497-505 EREP Avail: NTIS HC A12/MF A01 CSCL 02C N79-16349*$ National Aeronautics and Space Administration. Lyndon B. Johnson Space Center, Houston, Tex. N79-14496*# National Aeronautics and Space Administration. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). Lyndon B. Johnson Space Center. Houston. Tex. REVIEW OF LACIE METHODOLOGY. A PROJECT EVALUA- USDA APPLICATION TEST SYSTEM (ATS) SESSION: DATA TION OF TECHNICAL ACCEPTABILITY Jul. 1976 27 p Sponsored by NASA, NOAA, and USDA BASE DESIGN FOR A WORLDWIDE MULTICROP INFOR- MATION SYSTEM EREP G. Driggers. Principal Investigator (USDA) In its Briefing Mater, (E79-10069: NASA-TM-79932: LACIE-00421: JSC-11327) for Tech. Presentations, Vol. B: The LACIE Symp. Oct. 1978 Avail: NTIS HC A03/MF A01 CSCL 02C p 507-517 Original contains imagery. Original photography The author has identified the following significant results. may be purchased from the EROS Data Center, Sioux Falls, Results indicated that the LANDSAT data and the classification S. D. 57198 EREP technology can estimate the small grains area within a sample segment accurately and reliably enough to meet the LACIE goals. Avail: NTIS HC A12/MF A01 CSCL 02C Overall, the LACIE estimates in a 9 x 11 kilometer segment agree well with ground and aircraft determined area within these segments. The estimated c.v. of the random classification error was acceptably small. These analyses confirmed that bias introduced by various factors, such as LANDSAT spatial resolution, N79-14497*| National Aeronautics and Space Administration. lack of spectral resolution, classifier bias, and repeatability, was Lyndon B. Johnson Space Center, Houston, Tex. riot excessive in terms of the required performance criterion. USOA APPLICATION TEST SYSTEM (ATS) SESSION: ATS Results of these tests did indicate a difficulty in differentiating EXPERIENCE TO DATE AND FUTURE PLANS wheat from other closely related small grains. However, G. May. Principal Investigator (USDA) In its Briefing Mater, for satisfactory wheat area estimates were obtained through the Tech. Presentations, Vol. B: The LACIE Symp. Oct. 1978 reduction of the small grain area estimates in accordance with p 519-531 Original contains imagery. Original photography relative amounts of these crops as determined from historic data; may be purchased from the EROS Data Center. Sioux Falls. these procedures are being further refined. S. D. 57198 EREP

Avail: NTIS HC A12/MF A01 CSCL 02C N79-15349*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). LEVEL 3 BASELINE; CLASSIFICATION AND MENSURA- N79-144S8*| National Aeronautics and Space Administration. TION SUBSYSTEM (CAMS) REQUIREMENTS. VOLUME 2. Lyndon B. Johnson Space Center, Houston. Tex. REVISION E

15 01 AGRICULTURE AND FORESTRY

May 1978 121 p Revised Sponsored by NASA. NOAA. and green material. A large amount of green material transpired more USDA EREP water and depleted the soil water content faster than dead (E79-10070: NASA-TM-79933: LACIE-C00200-Vol-2-Rev-E; vegetation. Visicorder data found temperature differences between JSC-11330-Vol-2-Rev-E) Avail: NTIS HC A06/MF A01 CSCL the rangeland and winter wheat fields. Pasture had a larger 02C percentage of dead material with different thermal properties than live vegetation, and surface temperature was primarily dependent on insolation. Dead material transpired less, but warms up faster than wheat fields. N79-16360*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. N79 16369*# Agricultural Research Service. Weslaco. Tex. LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). PLANT COVER. SOIL TEMPERATURE. FREEZE. WATER YIELD-WEATHER REGRESSION MODELS FOR THE STRESS. AND EVAPOTRANSPIRATION CONDITIONS CANADIAN PRAIRIES Quarterly Progress Report. 1 Sep. - 1 Dec. 1978 Sharon K. LeDuc, Principal Investigator Jun. 1977 28 p refs Craig L Wiegand. Paul R Nixon. Harold. W. Gausman. L Neal Revised Sponsored by NASA. NOAA. and USDA EREP Namken. Ross W. Learner, and Arthur J. Richardson. Principal (E79-10071; NASA-TM-79934; LACIE-00433-Rev-A; Investigators Dec. 1978 11 p refs ERTS JSC-11668-Rev-A) Avail: NTIS HC A03/MF A01 CSCL 02C (NASA Order S-40198-B) (E79-10080: NASA-CR-157973) Avail: NTIS HC A02/MF A01 CSCL 02C

N79-16361*# Lockheed Electronics Co.. Houston. Tex. Systems and Services Div. N79-16366*# Institute de Pesquisas Espaciais, Sao Jose dos NATIONWIDE FORESTRY APPLICATIONS PROGRAM. A Campos (Brazil). LITERATURE REVIEW OF MAJOR REMOTE SENSING APPLICATION OF LAND SAT IN THE EVALUATION OF PROJECTS MAPPING FOREST LAND IN THE UNITED ARGICULTURAL AND FOREST RESOURCES [APUCACO STATES. USING SATELLITE DATA AND AUTOMATIC DATA DO SISTEMA LANDSAT NA AVAUACAO DE RECURSOS PROCESSING AGRONOMICOS E FLORESTAIS] E. P. F. Kan. Principal Investigator Oct. 1978 73 p EREP Nelson deJesusParada. Principal Investigator and Mario Valerio (Contract NAS9-15200) Filho Nov. 1977 10 p refs In PORTUGUESE Sponsored by (E79-10072: NASA-CR-151858; LEC-12131: JSC-13978) NASA ERTS Avail: NTIS HC A04/MF A01 CSCL 02C (E79-10088; NASA-CR-157980; INPE-11 53-PE/105) Avail: NTIS HC A02/MF A01 CSCL 02C

N79-16362*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. N79-16367*)j( South Dakota State Univ.. Brookings. Remote LARGE AREA CROP INVENTORY EXPERIMENT (LACIE). Sensing Inst. LEVEL 3 BASELINE; SYSTEM PERFORMANCE EVALUA- REMOTE SENSING APPLICATIONS TO RESOURCE TION. REPORT INTEGRATION (SPE-RI) REQUIREMENTS. PROBLEMS IN SOUTH DAKOTA Annual Progress Report. VOLUME 6 B 1 Jul. 1977 - Jul. 1978 16 Dec. 1974 48 p refs Sponsored by NASA. NOAA. and Victor I. Myers. Principal Investigator. R. G. Best. K. J. Oalsted. USDA EREP M. E. DeVries. J. C Eidenshink. F. A. Schmer. J. T. StreckFuss. (E79-10073; NASA-TM-79965; LACIE-00200-Vol-6-B) Avail: and M. E. Wehde 1 Jul. 1978 127 p refs Original contains NTIS HC A03/MF A01 CSCL 02C color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 ERTS (Grant NGL-42-003-007) (E79-10089: NASA-CR-157981: SDSU-RSI-78-14) Avail: N79-1B366*fjl Lockheed Electronics Co.. Houston. Tex. Aero- NTIS HC A07/MF A01 CSCL 08F space Systems Div. The author has identified the following significant results. TEST AND EVALUATION OF PRINCIPAL COMPONENT Change in the vegetative structure was taking place in the Black CLUSTER IMAGES IN LACIE Hills. Temporal analysis of the areal extent of open meadows R. A. Abotteen. Principal Investigator Mar. 1977 17 p refs was accomplished using black and white and color infrared aerial EREP photography. A reduction of nearly 1100 hectares of open (Contract NAS9-15200) meadows was determined using photointerpretation. Techniques (E79-10077; NASA-CR-151860; LEC-10052) Avail: NTIS were developed for the management of meandering lakes, HC A02/MF A01 CSCL 02C including use of LANDSAT imagery for continuous' monitoring, classification of hydrophytes on low altitude CIR imagery, and planning and evaluation of improvements and multiple uses on aerial photography and photo mosaics. LANDSAT data were N79-16368*# Texas A&M Univ.. College Station. Remote analyzed statistically from small and entire study scene areas to Sensing Center. determine the effect of soils stratifications of corn signatures. DRYLAND PASTURE AND CROP CONDITIONS AS SEEN Band 5 early season and band 7 later season recorded the BY HCMM Progress Report. Jul. - Oct. 1978 strongest evidence of the influence of soils on corn signatures. W. D. Rosenthal. Principal Investigator. J. C. Marian, and Bruce Significant strata were determined by a multiple range test. J. Blanchard Oct. 1978 20 p ERTS (Contract NAS5-24383) (E79-10079; NASA-CR-157972: RSC-3712-3) Avail: NTIS N79-15369*# National Aeronautics and Space Administration. HC A02/MF A01 CSCL 02C Lyndon B. Johnson Space Center. Houston. Tex. The author has identified the following significant results. THE LARGE AREA CROP INVENTORY EXPERIMENT The soil moisture difference between the flight lines was partly (LACIE). AN APPLICATION OF REMOTE SENSING BY due to water-holding capacity differences of the two soil types. MULTISPECTRAL SCANNERS Fields along the east flight line were in clay: while along the R. Bryan Erb. Principal Investigator 1975 12 p refs Sponsored west flight line, the soil was sandy loam which holds less moisture. by NASA. NOAA. and USDA Original contains color illustrations Due to differences in the amount of green material, the pastures EREP were wetter than the wheat fields. Most of the pastures average (E79-10091: NASA-CR-157983) Avail: NTIS from 40-80% green material, while wheat averages from 90-10O% HC A02/MF A01 CSCL 02C

16 Ark., October 18-21, 1977, Proceedings. Falls 02 Church, Va., American Society of Photogrammetry, 1977, p. ENVIRONMENTAL CHANGES AND 106-122. Better land management can be accomplished only through CULTURAL RESOURCES adequate collection of data which identifies present land resources and provides a basis for evaluation of land resource capabilities with Includes land use analysis, urban and metropolitan studies, respect to future needs. Remote sensor imagery and satellite imagery environmental impact, air and water pollution, geographic in particular, provides a means for supplying data which is current, information systems, and geographic analysis. synoptic, readily obtainable and relatively inexpensive. The launch- ing of the Earth Resources Technology Satellite now called Landsat, initiated a new era in the application of remote sensing technology to land resource inventory. An outline is presented of a visual A79-11256 Evaluation of Landsat image data for land-use interpretation approach for interpreting and mapping general land mapping. W. Kirchhof, P. Haberacker, E. Krauth, G. Kritikos, and R. cover types from Landsat images. Emphasis is placed upon the use of Winter (Deutsche Forschungs- und Versuchsanstalt fur Luft- und Landsat false color composites at a scale of 1:250,000. This Raumfahrt, Oberpfaffenhofen, West Germany). International Astro- approach is designed for users who have little or no experience with nautical Federation, International Astronautics! Congress, 29th, satellite imagery, want to minimize their expenditures of time and Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-118. 11 p. 7 ref s. financial resources, and have limited or essentially no access to An attempt is made to determine whether land-use information equipment normally used in image interpretation. G.R. of a central European region (Mannheim-Speyer) can be extracted from multispectral Landsat image data for several applications. The A79-11668* Techniques for land use change detection results are presented in a form adapted to user requirements: using Landsat imagery. G. L. Angelici, N. A. Bryant, and S. Z. land-use, regional planning, problems of different earth sciences, and user groups. A method of multispectral maximum likelihood Friedman (California Institute of Technology, Jet Propulsion Labora- tory, Pasadena, Calif.). In: American Society of Photogrammetry, classification is proposed, which assumes that each picture element Fall Technical Meeting, Little Rock, Ark., October 18-21, 1977, belongs to a special class exclusively defined by its spectral Proceedings. Falls Church, Va., American properties. These properties are defined by the intensity of the solar Society of Photogrammetry, 1977, p. 217-228. Contract No. radiation reflected by the earth, detected in the four spectral bands NAS7-100. of Landsat from the visible to near-infrared. It is shown that A variety of procedures were developed for the delineation of pixel-by-pixel verification of individual classes exhibits high failure areas of land use change using Landsat Multispectral Scanner data rate, that integration of subclasses to main classes results in higher and the generation of statistics revealing the nature of the changes classification accuracy, that the highest classification accuracy is involved (i.e., number of acres changed from rural to urban). obtained for agricultural land, and that the degree of fit increases Techniques of the Image Based Information System were utilized in with the size of homogeneous land-use zones, S.D. all stages of the procedure, from logging the Landsat data and registering two frames of imagery, to extracting the changed areas A79-11257 The use of earth surface observation data for and printing tabulations of land use change in acres. Two alternative development planning of Greater Jakarta Metropolitan Area. H. methods of delineating land use change are presented while enumer- Djojodihardjo and E. Saparjan (Indonesian National Institute for ating the steps of the entire process. The Houston, Texas urban area, Aeronautics and Space, Djakarta, Indonesia). International Astro- and the Orlando, Florida urban area, are used as illustrative examples nautical Federation, International Astronautical Congress, 29th, -of various procedures. G.R. Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-119. 16 p. 14 refs. The paper presents a macrophenomenological working model A79-11669* A reduction in ag./residential signature con- for applying earth surface observation data to the regional develop- flict using principal components analysis of Landsat temporal data. ment planning of the Greater Jakarta (Indonesia) Metropolitan Area. D. L. Williams (NASA, Goddard Space Flight Center, Earth The model is intended to facilitate the study of development Resources Branch, Greenbelt, Md.) and F. Y. Borden (Pennsylvania objectives and to help decision makers to determine an overall State University, University Park, Pa.). In: American Society of environmental assessment. Regional development objectives and Photogrammetry, Fall Technical Meeting, Little Rock, Ark., October relevant input variables are considered, and some information derived 18-21, 1977, Proceedings. Falls Church, Va., from Landsat data is presented. M.L. American Society of Photogrammetry, 1977, p. 230-238. 9 refs. One important objective of a cooperative project between the A79-11263 Application of a digital image processing U.S. Bureau of Census and NASA is to develop the ability to system to land use mapping from Landsat data. M. Checchi, C. accurately delineate the types of land cover in the urban-rural lannucci, and A. Penna (Italeco S.p.A., Rome, Italy). International transition zone of metropolitan areas. The application of principal Astronautical Federation, International Astronautical Congress, components analysis to multidate Landsat imagery is being investi- 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-130. 15 p. 7 gated as a method of reducing the overlap between residential and refs. agricultural spectral signatures. The statistical concepts of principal In the course of a territorial planning study, Landsat data have components analysis are discussed, as well as the results of this been used to obtain information on land use. These data have been analysis when applied to multidate Landsat imagery of the Washing- processed by means of a supervised system and compared with ton, D.C. metropolitan area. (Author) ground truth in a test area. A further comparison has been made between the results of automatic classification and the statistical A79-11754 # Interpretation of satellite and aircraft imagery information obtainable from official sources. The discrepancies for planning/design and management of marine parks and reserves. J. between the results of the automatic classification and ground truth A. Dobbin (James Dobbin Associates, Toronto, Canada). In: Ameri- are indicated with the aim of analyzing the causes. (Author) can Society of Photogrammetry, Annual Meeting, 44th, Washington, D.C., February 26-March 4, 1978, Proceedings. Falls Church, Va., American Society of Photogrammetry, 1978, p. A79-11664 Mapping land covers from satellite images - A 93-117. 38 refs. Research supported by the Ford Foundation. basic, low cost approach. C. D. Elifrits, D. J. Barr (Missouri-Rolla, The establishment of marine parks and reserves represents an University, Rolla, Mo.), T. W. Barney, and C. J. Johannsen important new approach for the protection of critical marine (Missouri-Columbia, University, Columbia, Mo.). In: American ecosystems. Interpretation of remotely sensed imagery could be an Society of Photogrammetry, Fall Technical Meeting, Little Rock, effective method for the collection, classification, and analysis of

17 02 ENVIRONMENTAL CHANGES AND CULTURAL RESOURCES

resource information for planning and managing marine parks and (Bundesanstalt fur Geowissenschaften und Rohstoffe, Hanover, West reserves. This potential was examined in two case studies using Germany). Deutsche Gesellschaft fur Luft- und Raumfahrt and Landsat, high and low altitude aircraft imagery, and the technique of Hermann-Oberth-Gesellschaft. Deutscher Luft- und Raumfahrtkon- density slicing to supplement existing information obtained from gress, Darmstadt, West Germany, Sept. 19-23, 1978, DGLR Paper ground observations. In both case studies, interpretations revealed 78-147. 21 p. 6 refs. In German. important new information and established the value of these After a brief review of the Landsat program and of remote techniques for site specific analyses. Landsat imagery could also be a sensing satellites in general, the paper discusses the planning of a vital tool for a survey team in the efficient acquisition of up-to-date satellite system for the monitoring of desert areas and of areas prone data, especially in remote areas, for the planning of regional systems to desertification. The photomapping of desert areas is discussed of marine parks and reserves. (Author) with reference to the type of observation platform, the receiving station, and data transmission and processing. The development of national or international programs for the monitoring of desertifica- A79-11759 # Landsat derived, land cover and impervious- tion processes is examined. Particular attention is given to the ness categories for metropolitan Washington - An urban/non-urban, Landsat monitoring of desert areas in the Republic of Niger. B.J. computer approach. J. B. McKeon, L. E. Reed, R. H. Rogers (Bendix Corp., Aerospace Systems Div., Ann Arbor, Mich.), R. M. Ragan A79-14167 ff Realistic land use mapping. 0. Kolbl (Eidge- (Maryland, University, College Park, Md.), and O. C. Wiegand nossische Anstalt fur das Forstliche Versuchswesen, Birmensdorf, (Metropolitan Washington Council of Governments, Washington, Switzerland). In: Image processing - Interactions with photogram- D.C.). In: American Society of Photogrammetry, Annual Meeting, metry and remote sensing; Proceedings of the International Sym- 44th, Washington, D.C., February 26-March 4, 1978, Proceedings. posium, Graz, Austria, October 3-5, 1977. Graz, Falls Church, Va., American Society of Photo- Technische Universitat Graz, 1978, p. 103-106. 7 refs. grammetry, 1978, p. 226-239. 16 refs. Several land-use mapping methods are compared with reference The paper discusses the computer processing of Landsat data to to two projects in Switzerland: a national forest inventory and a obtain land-cover and imperviousness categories for urban areas with land-use statistic for regional planning. The methods taken into particular reference to Washington, D.C. The complete steps used to consideration are: (1) the use of multispectral images combined with produce the data are outlined noting the 64 ground control points, automatic classification modes, (2) texture analysis of conventional delineations of the urban area; and the white aerial photographs and black and white photographs, and (3) visual photointerpretation color infrared photography used as reference materials. It is noted supported by electronic data processing. The paper tries to highlight that the land-cover and imperviousness results are applicable to the state of the art in remote sensing as applied to very specific tasks. hydrologic models when used in conjunction with data such as B.J. drainage, slope, soil, and storm-event intensity. The models may be used to evaluate water quality, to estimate peak discharges, and to assess the effects of urbanization in a cost-effective manner. S.C.S. A79-14173 ff Spectral and spatial signature recognition in urbanizing areas of southern California from U-2 color infra-red imagery. C. S. Miller (California State Polytechnic University, A79-12094 Ecosystem alteration detection by aerial color Pomona, Calif.). In: Image processing - Interactions with photogram- infrared photography and satellite multispectral scanner. W. A. metry and remote sensing; Proceedings of the International Sympo- Blanchard (Louisiana State University, Baton Rouge, La.). In: sium, Graz, Austria, October 3-5, 1977. Graz, Modern utilization of infrared technology III: Civilian and military; Technische Universitat Graz, 1978, p. 141-147. 7 refs. Proceedings of the Third Seminar, San Diego, Calif., August 25, 26, 1977. Bellingham, Wash., Society of Photo- Optical Instrumentation Engineers, 1977, p. 221-227. 7 refs. A79-15023 * Joint Conference on Sensing of Environmental In the ecological succession process, the dominant ^vegetation Pollutants, 4th, New Orleans, La., November 6-11, 1977, Proceed- population is deteriorated because of a change in the local ings. Conference sponsored by ACS, AIAA, AlChE, AMS, EPA, environment. This change results in the proliferation of a species or ERDA, IEEE, ISA, NASA, NOAA, HUD, U.S. Geological Survey, community better suited to the altered environment. Stresses on the U.S. Department of State, and DOT. Washington, D.C., American health, vigor and productivity of the succeeded plant population are Chemical Society, 1978. 960 p. 350. early signs of the environmental alteration. Visual interpretation of aerial color infrared photography of a south Louisiana swamp Papers are presented on such topics as environmental chemistry, determines where an ecosystem succession may occur by monitoring the effects of sulfur compounds on air quality, the prediction and the advance signs of stress invisible to conventional films. The digital monitoring of biological effects caused by environmental pollutants, data from bands five (0.6-0.7 micrometers) and seven (0.8-1.1 environmental indicators, the satellite remote sensing of air pollu- micrometers) of Landsat earth orbiting satellite is used to character- tion, weather and climate modification by pollution, and the ize and compare the spectral signatures of known areas of environ- monitoring and assessment of radioactive pollutants. Consideration is mental alteration in the swamp lands with areas of unaffected swamp also given to empirical and quantitative modeling of air quality, vegetation. The image classification capability of a Comtal-Varian disposal of hazardous and nontoxic materials, sensing and assessment Interactive Image Processing System uses the spectral signatures of of water quality, pollution source monitoring, and assessment of the test areas as a search tool for locating other potential succession some environmental impacts of fossil and nuclear fuels. B.J. areas over a wide region. (Author)

A79-13835 ff The Pacific Northwest Regional Commission's A79-15034 A national program for land use and land Land Resource Inventory Demonstration Project - The user's cover mapping using remotely sensed data. R. L. Kleckner (U.S. experience. M. J. McCormick (Washington State Planning and Geological Survey, Reston, Va.). In: Joint Conference on Sensing of Community Affairs Agency, Olympia, Wash.). American Institute of Environmental Pollutants, 4th, New Orleans, La., November 6-11, Aeronautics and Astronautics and NASA, Conference on 'Smart' 1977, Proceedings. Washington, D.C., American Sensors, Hampton, Va., Nov. 14-16, 1978, AIAA Paper 78-1719. 6 p. Chemical Society, 1978, p. 91-94. 5 refs. Using remotely sensed data, the Geography Program, part of the Land Information and Analysis Office of the U.S. Geological Survey, A79-14093 ft Future applications of a satellite observation has undertaken the mapping of land use and land cover for the entire system for the long-term monitoring of geodynamic processes nation. This mapping effort was begun in 1975 and is scheduled for (Zukunftige Anwendung eines Satellitenbeobachtungs-Systems zur completion by 1982 with updates provided as needed. This paper langfristigen Uberwachung geodynamischer Vorgange). D. Banner! describes the Program, examines the geographic information sys*-*^

18 02 ENVIRONMENTALCHANGES AND CULTURAL RESOURCES

and describes the role of Landsat. Particular emphasis is placed on distribution in the vicinity of a power plant in Northern Italy for a utilization of the land use and land cover data for purposes of period of two years. The same method has also been used to detect pollution monitoring and control. B.J. gas losses from pipelines and to study the effects of magmatic gases on vegetation growing in volcanic areas. B.J. A79-15051 Monitoring vegetation changes in a large im- pacted wetland using quantitative field data and quantitative remote sensing data. S. L. Wynn and R. W. Kiefer (Wisconsin, University, N79-10505# National Technical Information Service. Springfield. Madison, Wis.). In: Joint Conference on Sensing of Environmental Va. Pollutants, 4th, New Orleans, La., November 6-11, 1977, Proceed- REMOTE SENSING APPLIED TO ENVIRONMENTAL ings. Washington, D.C., American Chemical POLLUTION DETECTION AND MANAGEMENT. A BIBLIOG- Society, 1978, p. 178-180. U.S. Environmental Protection Agency RAPHY WITH ABSTRACTS Progress Report. 1964 - Jill. 1978 Grant No. R-803971. Audrey S. Hundemann Aug. 1978 163 p Supersedes Vegetation community classification by botanic and remote NTIS/PS-77/0674 3 Vol. sensing methods is discussed. Vegetation community data collected (NTIS/PS-78/0789/4. NTIS/PS-77/0674) Avail: NTIS by field and remote sensors are characterized, and procedures for HC S28.00/MF $28.00 CSCL 13B defining communities are considered. One of the goals of the Application of remote sensing methods to air. water, and described study is to demonstrate the use of various methods for noise pollution problems is discussed. Topic areas cover character- monitoring change over time. The study is also intended to istics of dispersion and diffusion by which pollutants are determine the most cost effective procedures for obtaining the transported, eutrophication of lakes, thermal discharges from desired information. M.L. electric power plants, outfalls from industrial plants, atmos- pheric aerosols under various meteorological conditions, monitor- A79-150S2 Development of a pollutant monitoring system ing of oil spills, and application of remote sensing to estuarian for biosphere reserves and results of. the Great Smoky Mountains problems. This updated bibliography contains 156 abstracts. 23 of which are new entries to the previous edition. GRA pilot study. G. B. Wiersma, K. W. Brown, and A. B. Crockett (U.S. Environmental Protection Agency, Environmental Monitoring and Support Laboratory, Las Vegas, Nev.). In: Joint Conference on N79-105O6# National Technical Information Service. Springfield, Sensing of Environmental Pollutants, 4th, New Orleans, La., Novem- Va. ber 6-11, 1977, Proceedings. Washington, D.C., REMOTE SENSING APPLIED TO URBAN AND REGIONAL PLANNING. A BIBLIOGRAPHY WITH ABSTRACTS American Chemical Society, 1978, p. 451-456. 30 refs. Progress Report. 1964 - Jul. 1978 The paper describes a methodology for developing a pollutant Audrey S. Hundemann Aug. 1978 70 p Supersedes monitoring system over a spectrum of biosphere reserves. The NTIS/PS-77/0675 3 Vol. biosphere reserve sites cover large land areas, so it is not feasible to (NTIS/PS-78/0790/2: NTIS/PS-77/0675) Avail: NTIS sample the entire area. General criteria are proposed which should be HC S2800/MF $28.00 CSCL 138 used in the selection of specific sampling sites within each biosphere Urban and regional planning using aerial photography and reserve. The criteria deal with topography, soil, vegetation uniform- satellite remote sensing methods is discussed. Abstracts cover ity, access, vegetation types, and sampling site size. Results of a the use of remote sensing in land use mapping, traffic surveys presampling program carried out in the Great Smoky Mountains and urban transportation planning, and taking inventories of National Park are presented. The objectives were to determine natural resources for urban planning Abstracts dealing with land minimum levels of pollutants detectable, variability of samples, and use and residential quality associated with acting as an influence the value of some new sampling techniques. P.T.H. on health and physical well being are included This updated bibliography contains 63 abstracts, 3 of which are new entries to the previous edition. GRA A79-16597 The automated generation and processing of digital terrain data for engineering planning. J. Bethel, B. C. Crawley, G. Shepphird, and M. Hussain (Teledyne Geotronics, Long Beach, N79-105O9# Technicolor Graphic Services. Inc.. Sioux Falls. S. Da.k. Calif.). In: Digital Terrain Models Symposium, St. Louis, Mo., May A SELECTIVE BIBLIOGRAPHY: REMOTE SENSING 9-11, 1978, Proceedings. Falls Church, Va., APPLICATIONS IN LAND USE AND LAND COVER American Society of Photogrammetry, 1978, p. 469-480. INVENTORY TASKS The paper describes a system for the automated generation of William J. Todd Apr. 1978 37 p refs digital terrain data on an economical production basis. The system is (Contract DI-14-08-0001-16439) based on the collection of three-dimensional terrain surface data (PB-283027/1) Avail: NTIS HC A03/MF A01 CSCL 08B from an oriented pair of vertical photographs, the ordering of the The bibliography contains more than 300 citations of data according to a conventional rectangular coordinate grid, and the selected publications on the applications of remote sensing merging of data from several models to provide more extensive areal techniques to regional and metropolitan land-use and land-cover coverage. The resulting data bases are well suited to the conventional inventory tasks. Most of the citations were published between application of automated generation of contour plots for extensive January 1968 and June 1977. although some earlier works of project areas and may also be processed for a variety of end continuing interest are included. GRA products. The generation of profiles along and across the drainage in a project area has successfully been demonstrated as an innovative application of digital terrain data for engineering planning. B.J. N79-12519 California Univ.. Riverside. THE DIGITAL USE OF LANDSAT DATA FOR INTEGRATED LAND RESOURCE SURVEY: A STUDY IN THE EASTERN A79-17882 The use of vegetation as a transducer for MOJAVE DESERT. CALIFORNIA Ph.D. Thesis Charles Frederick Hutchinson 1978 277 p environmental pollution. A. M. Tonelli (ARCO, Milan, Italy). In: Avail: Univ. Microfilms Order No. 7821353 Symposium on Remote Sensing for Vegetation Damage Assessment, Systems of land classification were examined within the Seattle, Wash., February 14-16, 1978, Proceedings. framework of classification logic. It was found that a priori or Falls Church, Va., American Society of Photogram- deductive, divisive systems of classification have some serious metry, 1978, p. 115-126. shortcomings and are often unable to meet the purpose for A method for pollution monitoring based on the ratio of near which they were designed. In general, a posteriori or inductive, infrared reflection of vegetation canopies to their thermal band agglomerative approaches to land classification were found to emission is described. The ratio method (using 1-2-micron and produce more satisfactory results. An inductive approach was 9-11-micron bands) was successfully applied to mapping S02 adopted based loosely on landform. Three methods of digital

19 02 ENVIRONMENTAL CHANGES AND CULTURAL RESOURCES

multispectral classification of LANDSAT data were examined: AM8IENTAL NO VALE DO PARAIBA ESTAOO OE SAO supervised, unsupervised. and modified unsupervised. The last PAULO] technique, in a qualitative sense, was judged to combine the Nelson deJesusParada. Principal Investigator and Dall Arthur best of the other systems by allowing some control in the selection Cottrell 20 Apr. 1978 9 p refs In PORTUGUESE Sponsored of training areas which would allow representation of all terrain by NASA ERTS types felt to be of significance (as in supervised classification), (E79-10086; NASA-CR-157978: INPE-1222-PE/124) Avail: but which also retained a significant amount of statistical NTIS HC A02/MF A01 CSCL13B objectivity (characteristic of the unsupervised approach). Dissert. Abstr.

N79-13430*jj( Institute de Pesquisas Espaciais. Sao Jose dos N79-15373# Forschungsinstitut fuer Informationsverarbeitung. Campos (Brazil). Karlsruhe (West Germany). POPULATION AND GROWTH ESTIMATES OF URBAN SEMIAUTOMATIC EXTRACTION OF ROADS FROM AERIAL AREAS IN THE STATE OF SAO PAULO UTILIZING PHOTOGRAPHS Final Technical Report. 15 May 1977 - LANDSAT IMAGES [ESTIMATIVAS POPULAdONAIS E 15 Apr. 1978 DE CNESCIMENTO OE AMEAS URBANAS NO ESTADO DE W. Kestner Jun. 1978 50 p refs SAO PAULO. COM UTIUZACAO DE IMAQENS LANDSAT] (Gram DA-ERO-77-G-044; DA Proj. 1T1-61102-BH-57) Nelson deJesusParada. Principal Investigator and Celina Forest! (AD-A060065) Avail: NTIS HC A04/MF A01 CSCL 14/5 Jun. 1978 115 p refs In PORTUGUESE: ENGLISH summary Three different methods have been developed for the Sponsored by NASA Original contains color imagery. Original semiautomatic extraction of roads from aerial photographs. The photography may be purchased from the EROS Data Center. Sioux interpreter has to initialize the procedures by defining parameter Falls. S. 0. 57198 ERTS values and starting points on the roads. The results of the (E79-10015; NASA-CR-157904: INPE-1298-TPT/095) Avail: extraction procedures are displayed immediately for control and NTIS HC A06/MF A01 CSCL 05B necessary correction by the interpreter. All three methods are described in principle, while one of them is described in detail. Test material for the methods had been provided by USAETL. Test results are shown and serve to explain the abilities and N79-13447*|jf Pennsylvania State Univ.. University Park. Dept. limits of the extraction methods. An assessment of the methods of Meteorology. and discussions of further work conclude this report. APPLICATIONS OF HCMM SATELLITE DATA TO THE Author (GRA) STUDY OF URBAN HEATING PATTERNS Quarterly Report. Sep. - Nov. 1978 Toby N. Carlson. Principal Investigator 1 Dec. 1978 3 p Sponsored by NASA ERTS (E79-10O40; NASA-CR-157927) Avail: NTIS HC A02/MF A01 CSCL 088

N79-14456*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. THE IMPACT OF LACIE ON A NATIONAL METEOROLOGI- CAL CAPABILITY N. Strommen (NOAA Environmental Data Information Service. Washington. D. C.l. M. Reid (NOAA Environmental Data and Information Service. Houston. Tex.), and J. Hill. Principal Investigators In its Proc. of the Plenary Session: The LACIE Symp. Oct. 1978 p 119-124 EREP

Avail: NTIS HC A07/MF A01 CSCL 02C

N79-15363*# Institute ae Pesquisas tspaciais, Sao Jose dos Campos (Brazil). UTILIZATION OF ORBITAL DATA FROM LANDSAT 1 IN THE CLASSIFICATION OF URBAN LAND USAGE OF THE SAO JOSE GRASSLAND [UTILIZACAO DE DADOS ORBITAIS DO LANDSAT 1 NA CLASSIFICACAO DE USO DO SOLO URBANO DE SAO JOSE DOS CAMPOS] Nelson deJesusParada, Principal Investigator and Madalena Niero Jul. 1978 81 p refs In PORTUGUESE: ENGLISH summary Sponsored by NASA Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 ERTS (E79-10085: NASA-CR-157977: INPE-1295-TPT/093) Avail: NTIS HC A05/MF A01 CSCL 08B

N79-16364*# Institute de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). LANDSAT AND ENVIRONMENTAL IMPACT IN THE PARAIBA VALLEY OF SAO PAULO [LANDSAT E IMPACTO

20 facilities. The IAS permits precision cartographic and thematic 03 products to be developed from digital line-scan data. The entire IAS GEODESY AND CARTOGRAPHY system is developed around the four main activities encountered in digital image analysis, viz. radiometric correction, geometric correc- Includes mapping and topography. tion, image classification, and image manipulation. The IAS provides the user with a standard image analysis framework involving a set of basic modules which can be easily extended or modified to allow for A79-10997 Surface texture analysis with thermal and near new developments and needs. S.D. infrared scanners. A. M. Tonelli (Rossi A. R. Co., Milan, Italy). Photogrammetric Engineering and Remote Sensing, vol. 44, Oct. A79-18193 Digital terrain models - An overview. F. J. 1978, p. 1273-1278. 8 refs. Doyle (U.S. Geological Survey, Reston, Va.l. (American Society of Texture analysis applied to scannings collected in the domain of Photogrammetry, Digital Terrain Model Symposium, St. Louis, Mo., reflected and emitted infrared radiance can be usefully employed for May 9-11, 1978.) Photogrammetric Engineering and Remote Sensing, detecting glacial crevasses, and fault lines and for monitoring the vol. 44, Dec. 1978, p. 1481-1485. current pattern at the sea's surface. Such an analysis, performed by The rapid development in the ability to handle terrain data in a high frequency extraction from scanning data followed by multistage completely digital form offers the promise of reducing the drudgery logarithmic compression, enhances very subtle discontinuities exist- of cartographic operations, providing a wide variety of data ing at the surfaces in the field of reflection and emission. The interactions, and reducing time and cost. The present paper gives a contribution of the numerous phenomena involved can often be definition of digital terrain models and discusses their origin. distinguished by the study of the correlation between the 1 to Consideration is also given to digital data acquisition, digital data 2-micron and 9 to 11-micron channels. This method seems particular- preprocessing, data storage and management, applications of DTM ly useful in sensing the input of small volumes of water into the sea. data, and the future directions of DTM (i.e., national and world data It is useful for establishing a model for current circulation when banks, interaction with other digital data, and computer-controlled bathymetrtc data are also used. While a number of appropriate cartography). B.J. methods have been developed for the mapping of faults, the thermal texture analysis method seems to be a promising tool for use in the A79-18194 DTM application in topographic mapping. M. study of glaciers, enabling the location of crevasses to be drawn on a M. Allam (Department of Energy, Mines and Resources, Surveys and map. (Author) Mapping Branch, Ottawa, Canada). (American Society of Photogram- A79-11258 Ruptural fabric of Yugoslavia on Landsat metry, Digital Terrain Model Symposium, St. Louis, Mo., May 9-11, scanograms. M. D. Dimitrijevic (Beograd, Univerzitet, Belgrade, 1978.) Photogrammetric Engineering and Remote Sensing, vol. 44, Yugoslavia). International Astronautical Federation, International Dec. 1978, p. 1513-1520. Astronautical Congress, 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, The Gestalt Photomapper GPM-2/3 system has been acquired Paper 78-121.9 p. 18 refs. for the production of DTMs (digital terrain models). The analytical Eighteen Landsat scanograms were selected to obtain a source model is scanned and continuously transformed according to for analysis of the ruptural fabric of Yugoslavia on a scale of electronic correlator measurements until the corresponding images 1:1,000,000. A map of fractures and ring structures was compiled. from both cameras for a 9 x 8 mm patch are in register. A computer The fractures visible on the scanograms are believed to be mostly system was developed for the postprocessing of the DTMs and the neotectonically active ones and fractures generated during the production of digital contour overlays for 1:50,000 topographic Neogene or Quaternary. Only in places do these fractures correspond maps, and digital terrain elevation data base on a UTM grid. B.J. to faults known from geological maps. In general, a new pattern distinct from the one shown by more ancient faults is obtained, A79-18195 Production mapping with orthophoto digital corresponding to a new stress field. P.T.H. terrain models. W. H. Young and D. M. Isbell (Riverside County Flood Control and Water Conservation District, Riverside, Calif.). A79-11259* Eulusmap - An international land resources (American Society of Photogrammetry, Digital Terrain Model map utilizing satellite imagery. T. Paludan (NASA, Marshall Space Symposium, St. Louis, Mo., May 9-11, 1978.) Photogrammetric Flight Center, Earth Resources Office, Huntsville, Ala.) and E. Csati Engineering and Remote Sensing, vol. 44, Dec. 1978, p. 1521-1536. (Institute of Surveying and Mapping, Budapest, Hungary). Interna- tiona/ Astronautical Federation, International Astronautical Con- A79-18196 Experimental investigation into the accuracy gress, 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-124. 13 of contouring from DTM. F. Ackermann (Stuttgart, Universitat, p. 12 refs. Stuttgart, West Germany). (American Society of Photogrammetry, The paper describes the European land use map ('Eulusmap') Digital Terrain Model Symposium, St. Louis, Mo., May 9-11, 1978.) sponsored by the World Land Use Survey Commission and printed in Photogrammetric Engineering and Remote Sensing, vol. 44, Dec. May 1978. The map was compiled on the basis of theme extraction 1978, p. 1537-1548. 8 refs. techniques applied to Landsat-1 imagery. Various aspects of Landsat- Experimental results are presented on the accuracy of digital- image analysis are discussed here, and detailed consideration is given terrain-model (DTM) interpolation of digitally derived contours. The to the land-use classification system developed by the World Land test area (Soehnstetten, Germany) was precisely surveyed by Use Survey Commission. 8.J. electronic tacheometry, including a number of check profiles. Furthermore, a plane table survey was available along with a state A79-14179 ,-7 A self-contained Landsat data reception and base map at 1:2500 scale. Wide angle photography at a photoscale of precision cartographic image production system. D. S. Sloan and R. 1:10,000 was used for photogrammetric restitution. Results confirm Orth (MacDonald, Dettwiler and Associates, Ltd., Richmond. British that DTM contouring is equivalent to direct photogrammetric Columbia, Canada). In: Image processing - Interactions with photo- contouring or contouring from ground surveys. BJ. grammetry and remote sensing; Proceedings of the International Symposium, Graz, Austria, October 3-5, 1977. A79-18863 Contemporary tectonics in the Tien Shan Graz, Technische Universitat Graz, 1978, p. 189-196. 16 refs. region. J. Ni (Cornell University, Ithaca, N.Y.). Earth and Planetary The paper outlines the design and capabilities of the Line Scan Science Letters, vol. 41, no. 3, Nov. 1978, p. 347-354. 22 refs. Receiving and Processing System (LSRPS) devised as a self-contained ARPA-supported research; Grant No. AF-AFOSR-77-3170. direct readout ground station system for the reception and process- New fault plane solutions of recent earthquakes, along with ing of data from earth-observation satellites. Attention is given to the previously published fault plane solutions, field geologic data, and digital Image Analysis System (IAS) which can be incorporated into faults interpreted from Landsat imagery indicate thrust faulting in the LSRPS when located at the same site, or operates as a the Tien Shan region. For most of the fault plane solutions stand-alone system in an installation remote from ground reception compressive stress axes are nearly horizontal and trending approxi- 03 GEODESY AND CARTOGRAPHY

mately north-south, perpendicular to the trend of the Tien Shan fold The basic observation features and investigation techniques belts. Contemporary tectonics of the Tien Shan region can be used in satellite geodesy and eventually capable of monitoring interpreted as resulting from convergence of the Indian and Eurasian geotectonic motions are reviewed. Considering the physical plates. (Author) information (time-, phase-, and frequency-differences) extracted from electro-magnetic signals, the principles of the observational N79-11457# European Space Agency. Paris (France). methods (interferometry, ranging, and Doppler techniques) are THE COVERAGE FIELD OF EARTH OBSERVATION described by which the geometrical information (angle, range, SATELLITES AT THE EARTH'S SURFACE. DESCRIPTION and range differences) needed to compute global or regional OF THE COMPUTER PROGRAM COFI coordinates as a final result of geodetic efforts is obtained. The E. Fritz Jochim and W. Pawlik Aug. 1978 77 p refs Transl. current status of some tracking systems, which may perhaps into ENGLISH of 'Das Ueberdeckungsfeld erdbeobachtender provide the superprecise information necessary for geotectonic Satelliten auf der Erdoberflaeche. Beschreibung des Rech- investigations, is discussed. Author (ESA) nerprogramms COFI'. DFVLR. Oberpfaffenhofen. West Ger Report DLR-IB-552-77/40. 1977 Original report in GERMAN previously N79-126O3# Technische Hochschule. Darmstadt (West Ger- announced as N78-31516 many). Inst. of Physical Geodesy. (ESA-TT-487; DLR-IB-552-77/40) Avail: NTIS GEODETIC HIGH PRECISION MEASUREMENTS IN ACTIVE HC A05/MF A01 TECTONIC AREAS The computer program described produces a printer plot of E. Groten and G. W. Hein In ESA Space Oceanog., Navigation, the coverage field and coverage frequency within a given period and Geodyn. Apr. 1978 p 223-229 refs in geographical coordinates or in geographical latitude against the mean solar time. Nadir angle and half width of the Avail: NTIS HC A16/MF A01 perpendicular to the orbit scanning sensor may be chosen freely. The use of space borne laser ranging for monitoring the Multiply-covered regions are made evident by a variable density movements of retroreflectors installed along active tectonic zones or special characters. Restrictions are possible on mean local together with a net of regionally distributed reflectors (at distances solar time intervals. The subsatellite curve can be represented of more than 100 km) is discussed. It gives the opportunity to with the Local Mean Time marked on the curve. The program detect motion and movement in active zones with respect to aids in the mission analysis of earth observation satellites. more or less stable surroundings. The application in Iceland and Author (ESA) Iran is considered. The difficulties encountered with terrestrial methods when the same information is to be studied by classical N79-12486# Technische Hogeschool. Delft (Netherlands). geodetic approaches are outlined. Author (ESA) ON POTENTIAL USES OF SPACE TECHNIQUES FOR APPLIED GEODESY N7S-13438*| SRI International Corp.. Menlo Park. Calif. L. Aardoom In ESA Space Oceanog.. Navigation, and Geodyn. A SCENE-ANALYSIS APPROACH TO REMOTE SENSING Apr. 1978 p 85-88 Final Report Jay M. Tenenbaum. Principal Investigator, Martin A. Fischler, Avail: NTIS HC A16/MF A01 and Helen C. Wolf Jun. 1978 85 p refs Original contains The question of how space techniques and satellite tech- imagery. Original photography may be purchased from the EROS niques in particular could be used for applied geodesy is addressed Data Center. Sioux Falls. S. D. 57198 ERTS and general aspects are considered. Current trends in space (Contract NASw-2865: SR Proj. 4683) geodesy are reviewed. The European position to set out on a (E79-10029: NASA-CR-157916) Avail: NTIS program of applied geodesy by means of space techniques is HC A05/MF A01 CSCL 05B outlined. Author (ESA) The author has identified the following significant results. Geometric correspondence between a sensed image and a N79-12486# Institut fuer Angewandte Geodaesie. Frankfurt am symbolic map is established in an initial stage of processing by Main (West Germany). adjusting parameters of a sensed model so that the image features SATELLITE TRACKING TECHNIQUES AND THEIR APPLICA- predicted from the map optimally match corresponding features TIONS FOR GEODESY AND NAVIGATION extracted from the sensed image. Information in the map is P. Wilson In ESA Space Oceanog.. Navigation, and Geodyn. then used to constrain where to look in an image, what to look Apr. 1978 p 93-97 refs for, and how to interpret what is seen. For simple monitoring tasks involving multispectral classification, these constraints significantly reduce computation, simplify interpretation, and Avail: NTIS HC A16/MF A01 improve the utility of the resulting information. Previously Measurement principles used for tracking near earth satellites, intractable tasks requiring spatial and textural analysis may become such as angular measurements, mterferometry. range measure- straightforward in the context established by the map knowledge. ments and Doppler techniques are reviewed. The current status of ranging. Doppler and mterferometry instrumentation is discussed The use of map-guided image analysis in monitoring the volume of water in a reservoir, the number of boxcars in a railyard, and and some thoughts on future trends are offered. ESA the number of ships in a harbor is demonstrated. N79 12497# Geodetic Inst.. Helsinki (Finland). ON THE GRAVIMETRIC SURVEY OF THE GULF OF N79-13475*jjl National Aeronautics and Space Administration. BOTHNIA Marshall Space Flight Center, Huntsville. Ala. Juhani Kakkuri In ESA Space Oceanog.. Navigation, and Geodyn. EULU8MAP: AN INTERNATIONAL LAND RESOURCES Apr. 1978 p 171-173 refs MAP UTILIZING SATELLITE IMAGERY T. Paludan and E. Csati (Inst. of Surveying and Mapping, Budapest) Avail: NTIS HC A16/MF A01 Dec. 1978 20 p refs The activities of the Finnish Geodetic Institute with respect (NASA-TP-1371: M-271) Avail: NTIS HC A02/MF A01 CSCL to the gravimetric survey of the Gulf of Bothnia are described. 08B Topics include gravimetric experiments on the surface of the In 1972, the International Geographical Union's Commission ice, gravity survey of the ice of the Bothnian Gulf and calibrating on World Land Use Survey adopted a project for a land-use the satellite altimeter. ESA map of Europe. Such a map. under the name Eulusmap was started earlier under sponsorship of several government offices N79-126O1# Institut fuer Angewandte Geodaesie. Frankfurt am in Hungary. Although there was great response from a number Main (West Germany). of contributors in many countries, it became evident by mid-1974 REVIEW OF SATELLITE TRACKING TECHNIQUES PROBA- that the map would contain gaps and some inaccuracies unless BLY CAPABLE OF MONITORING PLATE TECTONICS additional data sources were utilized. By then, the satellite D. Lelgemann In ESA Space Oceanog., Navigation, and Geodyn. Landsat-1 had obtained imagery of most of Europe. Using theme Apr. 1978 p 213-217 refs extraction techniques, the map was completed in draft form Avail: NTIS HC A16/MF A01 and portions of it displayed at the 23d International Geographical

22 03 GEODESY AND CARTOGRAPHY

Congress in Moscow during July 1976. Printing of the completed map was accomplished in May 1978. Author

N79-15394# Kansas State Geological Survey, Lawrence. THE ORIGIN OF SURFACE UNEAMENTS .IN NEMAHA COUNTY. KANSAS Susan M. DuBois Aug. 1978 58 p refs (Contract NRC-04-77-017) (PB-287302/4; NUREG-CR-0321) Avail: NTIS HC A04/MF A01 CSCL 08G The geology and seismicity of Kansas was examined in connection with design criteria for dams, nuclear power plants, and other earthquake-sensitive structures. A search for surface lineaments was conducted using LANDSAT-MSS and side-looking airborne radar imagery as well as conventional and satellite photography. The origin of the surface lineaments observed in Nemaha County and portions of the surrounding counties in Kansas and Nebraska was investigated. GRA

N79-15508# Desert Research Inst.. Reno, Nev Water Resources Center. MAPPING OF EARTH FISSURES IN LAS VEGAS VALLEY, NEVADA R. O. Patt and G. B. Maxey Mar. 1978 28 p refs (OWRT Proj. A-071-Nev(1)) (PB-286969/1; PUB-41051; W78-12107) Avail: NTIS HC A03/MF A01 CSCL 08G Seven zones of fissuring in the vicinity of Las Vegas are outlined and discussed. Fissures in Las Vegas Valley can be correlated with the following features: (1) fault scarps (compaction or tectonic): (2) well fields: and (3) tectonic activity. Several features are noted which may be interrelated with subsidence and fissuring in Las Vegas Valley. Damage to streets and homes as a result of fissuring is discussed. GRA

23 A79-11857" Discrimination of geologic units in Death 04 Valley using dual frequency and polarization imaging radar data. M. GEOLOGY AND MINERAL Daily (California Institute of Technology, Jet Propulsion Laboratory, Pasadena; California, University, Santa Barbara, Calif.), C. Elachi.T. RESOURCES Farr (California Institute of Technology, Jet Propulsion Laboratory, Pasadena, Calif.), and G. Schaber (U.S. Geological Survey, Flagstaff, Ariz.). Geophysical Research Letters, vol. 5, Oct. 1978, p. 889-892. Includes mineral deposits, petroleum deposits, spectral prop- 8 refs. Contract No. IMAS7-100. A simultaneous analysis of dual-frequency and dual-polarization erties of rocks, geological exploration, and lithology. radar imagery of an area located in the central part of Death Valley, Calif., is discussed. The radar imagery analyzed consists of like- polarized L-band, cross-polarized L-band, and like-polarized X-band imagery digitally combined and ratioed to enhance the variation in A79-11249 Application of space images to geological the backscatter cross section of different geologic units. It is shown investigations in the USSR to date and in future. V. N. Bruikhanov, that simultaneous analysis of such radar imagery leads to a synergism B. N. Mozhaev, and G. V. Makhin. International Astronautical effect which, in the case of the area studied in Death Valley, allows Federation, International Astronautical Congress, 29th, Dubrovnik, nearly complete discrimination of surficial geologic units. Radar Yugoslavia, Oct. 1-8, 1978, Paper 78-111. 10 p. backscatter is found generally to increase with roughness from The application of TV and scanner images from such spacecraft smooth Quaternary sand facies to rough and extremely rough as Meteor, Salyut and Soyuz to photogeological studies of the Quaternary silty rock salt. F.G.M. U.S.S.R. is reviewed. Various aspects of geological photomapping are discussed. B.J. A79-14157 # Classification of rocks on the basis of signa- tures and texture-measures from Landsat imagery- H. Burger (Berlin, A79-11250 Results of application of data from space to Freie Universitat, Berlin, West Germany). In: Image processing - geological survey in Yugoslavia. M. Oluic (Industroprojekt, Zagreb, Interactions with photogrammetry and remote sensing; Proceedings Yugoslavia). International Astronautical Federation, International of the International Symposium, Graz, Austria, October 3-5, 1977. Astronautical Congress, 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Graz, Technische Universitat Graz, 1978, p. Paper 78-112. 12 p. 13 refs. Applications of data obtained from satellites, especially Landsat 33-35. An algorithm is described which uses both texture and signature satellites, to geological research in Yugoslavia are discussed. Tectonic information from multispectral images for terrain classification. The structure and seismotectonic activity are studied, and the exploration method of Haralick et al. (1973) for texture analysis is generalized to for oil and mineral resources is described. The use of large-scale and the multispectral case; other texture measures are also examined. The small-scale images is considered, and area features suggesting the classification has been tested on a Landsat image of the Tibesti presence of oil and bauxite are reported. M.L. Mountains of Chad. Preliminary results indicate that this evaluation of the classification technique was not entirely successful. B.J.

A79-11260 Estimation of the soil composition by IR A79-14164 " Digital processing of Landsat data for geologi- observation of the earth by satellites. R. Monti. International cal applications. R. Haydn (Zentralstelle fur Geo-Photogrammetrie Astronautical Federation, International Astronautical Congress, und Fernerkundung, Munich, West Germany). In: Image processing - 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-126. 16 p. 7 Interactions with photogrammetry and remote sensing; Proceedings refs. of the International Symposium, Graz, Austria, October 3-5, 1977. The determination of the thermal conductivity and the volume Graz, Technische Universitat Graz, 1978, p. heat capacity of soils from two (satellite) measurements of soil 89-92. temperature is discussed. Numerical results following from a two- Various digital image processing techniques are described and dimensional unsteady heat transfer analysis are computed for a their feasibility for geological applications is discussed. Based on variety of soil conditions, and the time evolution of the surface Landsat images mainly representing arid areas, the treatment of temperature is examined. Application of the indicated procedure for single-band and multiband data is demonstrated using algorithms for estimating soil composition requires that satellites must follow contrast manipulations, for statistical enhancement and analysis, and specified orbits and obtain data for a given site during two for logical operations. The use of analog techniques such as the consecutive passes. M.L. combination of processed images by color composition techniques is also discussed. From a methodological point of view, principal- A79-11763 ;i Landsat geologic reconnaissance of the Wash- component transformation and band ratioing are found to be ington, D.C. area westward to the Appalachian Plateau. G. A. extremely useful, especially in combination with postprocessing Rabchevsky, U. Boegli, and J. Valdes (American University, Washing- techniques. B.J. ton, D.C.). In: American Society of Photogrammetry, Annual Meeting, 44th, Washington, D.C., February 26-March 4, 1978, Proceedings. Falls Church, Va., American A79-14180 *' Interactive digital image processing of Landsat Society of Photogrammetry, 1978, p. 345-360. 17 refs. data for geologic analysis. A. F. Smith (GE Space Systems The usefulness of satellite and aircraft remote sensor imagery in Organization, Beltsville, Md.). In: Image processing - Interactions the mapping of major geologic structures, boundaries of geologic with photogrammetry and remote sensing; Proceedings of the units and lithologies, and geomorphic provinces in the Washington, International Symposium, Graz, Austria, October 3-5, 1977 D.C. area, westward to the Appalachian Plateau is investigated. The Graz, Technische Universitat Graz, 1978, p. 197-212. remote sensor imagery data base consisted of Landsat and Skylab 16 refs. data and high-altitude infrared aerial photography. The imagery was Several image processing and enhancement techniques employed processed primarily by photo-optical techniques and analyzed by to extract geological information are discussed. Particular considera- conventional photographic interpretation methods. A series of tion is given to the application of the Image 100 multispectral image geological and geobotanical overlays were prepared showing the processing system to the digital analysis of Landsat imagery of a interpreted results. The results showed that conventional published study area in southwestern Arizona. The relative advantages of geologic maps of regions can be effectively supplemented by several supervised and unsupervised classification routines, including interpreted satellite and aircraft imagery overlays. (Author) single-cell parallelepiped signature analysis, feature-space parti-

25 04 GEOLOGY AND MINERAL RESOURCES

tioning, and single-band density slicing are discussed. Enhancement MINERAL PRECIPITATION IN NORTH SLOPE AUFEIS techniques, including several combinations of linear and nonlinear Dorothy K. Hall Sep. 1978 10 p refs Submitted for contrast stretching and ratioing, are also described. Results indicate publication that interactive processing of Landsat data significantly aids in the (NASA-TM-79642) Avail: NTIS HC A02/MF A01 CSCL 08G mapping and analysis process for the preparation of geological maps. The Canning and Shaviovik river aufeis fields were studied B.J. on the ground and with aircraft data. Powdered calcium carbonate (CaC03) patches, a few cm in thickness, were found in discrete A79-16725 // Landsat - Developing techniques and applica- locations on both aufeis fields. This is indicative of chemical weathering of limestone bedrock which is known to underlie tions in mineral and petroleum exploration. C. J. Simpson. BMP much of the eastern arctic coastal plain of Alaska. Spring or Journal of Austral/an Geology and Geophysics, vol. 3, Sept. 1978, p. river water which remains unfrozen throughout much of the winter 181-191. 45refs. carries CaC03 in solution; as the river ice freezes more deeply The extensive research into satellite data technology that the CaC03 in solution is forced upwards through cracks in the followed the launch of Landsat-1 (ERTS-1) in 1972 has resulted in river ice. Upon exposure to the cold air CaC03 is excluded as progressive improvements to product quality and digital data analysis the water freezes, forming successive layers during aufeis techniques. Improved image quality has direct significance to the growth. In the melt season CaCO3, slush/powder accumulates many mineral and petroleum exploration organisations that are now in patches on top of the ice as the aufeis melts downward. routinely applying conventional photogeological interpretation tech- Author niques to Landsat multispectral scanner imagery. Photogeological N79-10507# National Technical Information Service. Springfield. techniques will continue to be the main means of Landsat interpreta- Va. tion; however, even the best quality imagery may contain less than REMOTE SENSING APPLIED TO GEOLOGY AND MINER- one quarter of the total data recorded and computer techniques offer ALOGY. A BIBLIOGRAPHY WITH ABSTRACTS Progress the only adequate means of analysing all the data in a Landsat scene. Report, 1973 - Jul. 1978 Considerable progress has been made with computer analysis of Audrey S. Hundemann Aug. 1978 154 p Supersedes Landsat digital data and some techniques have definite application to NTIS/PS-77/0676 3 Vol. mineral and petroleum exploration. In specific environments direct (NTIS/PS-78/0791/0: NTIS/PS-77/0676) Avail: NTIS detection of iron weathering products associated with both hydro- HC S28.00/MF S28.00 CSCL 13B thermal alteration and uranium deposits has been achieved. Various The use of LANDSAT satellites and other remote sensing computer-enhancement techniques have also been employed to methods in geological and mineralogical applications is discussed. reveal structural and lithological information not obvious on conven- Abstracts cover rock and soil mapping, terrain analysis, direct tional Landsat imagery or aerial photography. (Author) and indirect mineral exploration, fault tectonics, and general geologic studies of various countries. A few abstracts pertain to A79-16777 ff The importance of repeated and multispectral equipment and techniques used in the studies. This updated analyses in geological-structural applications of data obtained from bibliography contains 147 abstracts. 25 of which are new entries to the previous edition. GRA space (L'importanza dell'analisi multitemporale e multispettrale nelle applicazioni geologico-strutturali dei dati di provenienza spaziale). C. M. Marino (Milano, Universita, Milan, Italy). In: Space in the service N79-11449*# Environmental Research Inst. of Michigan. Ann of man; International Scientific Conference on Space, 18th, Rome, Arbor. Infrared and Optics Div. Italy, March 15, 16, 1978, Proceedings. Rome, OPTIMUM THERMAL INFRARED BANDS FOR MAPPING GENERAL ROCK TYPE AND TEMPERATURE FROM SPACE Rassegna Internazionale Elettronica Nucleare ed Aerospaziale, 1978, Final Task Report. Jan. 1978 - Jul. 1978 p. 301-307. 7 refs. In Italian. Quentin A. Holmes and Daniel R. Nuesch Sep. 1978 45 p Reasons for obtaining repeated remote-sensor observations of refs land features are examined, and factors which affect feature (Contract NAS9-15362) appearance are described. Landsat data for some areas in northern (NASA-CR-151842; EFIIM-130100- 13-F) Avail: NTIS Italy are studied to determine seasonal variation in the appearance of HC A03/MF A01 CSCL 20F geological and structural features. Structural features, primarily A study was carried out to determine quantitatively the number linear features, were studied in different spectral bands. Application and locations of spectral bands required to perform general of observational equipment and techniques is discussed. M.L. rock type discrimination from spaceborne imaging sensors using only thermal infrared measurements. Beginning with laboratory spectra collected under idealized conditions from relatively well N79-105O1*# National Aeronautics and Space Administration. characterized, homogeneous samples, a radiative transfer model Washington, 0. C. was employed to transform ground exitance values into the REMOTE SENSING APPLIED TO PROSPECTING OF corresponding spectral radiance at the top of the atmosphere. THERMOMINERAL WATER IN THE COUNTY OF CALDAS Taking sensor noise into account analysis of these data revealed NOVAS-GOIAS that three 1 miciometer wide spectral bands would permit Paulo Veneziani and Celio EustaquiodosAnjos Nov. 1978 13 p independent estimators of rock-type and sample temperature from refs Transl. into ENGLISH of "Sensores Remotos Aplicados a a satellite infrared multispectral scanner. This study, indicates Prospeccao de Aguas Termominerais no Municipio de Caldas that the location of three spectial bands at 8.1-9.1 micrometers. Novas-Goias", Rept. INPE-1327-PE/157 Inst. de Pesquisas 9.5-10.5 micrometers and 11.0-12.0 micrometers, and the Espaciais. Sao Paulo, Brazil. Aug. 1978 10 p Presented at employment of appropriate preprocessing to minimize atmospheric the 30th Brazilian Congr. of Geol.. Recife. Brazil, 1 Nov. 1978 effects makes it possible to predict general lock-type and Transl. by Sci. Transl. Serv.. Santa Barbara, Calif. temperature for a variety of atmospheric states and tempera- (Contract NASw-3198) tures. Author (NASA-TM-75583; INPE-1327-PE/157) Avail. NTIS HC A02/MF A01 CSCL 08H LANDSAT imagery of the region were studied allowing the N79-11450# Institute de Pesquisas Espaciais, Sao Jose dos Campos (Brazil). placement of the area of study in the regional geological context. PRELIMINARY GEOLOGICAL PRECAMBRIAN MAP OF A geological mapping of the 1.60.000 scale was done. A PIAUI IMAPA GEOLOGICO PRELIMINAR DO PRE methodology was developed which consisted in a regional CAMBRIANO DO PIAUI| temperature mapping using trend surface analysis. Through the Edison Crepani. Paulo Roberto Martini. Paulo Veneziani. Augusto correlation of all these data, four different areas were localized PaivaFilno. and Moacir Moco Oct. 1977" 22 p refs In with a high potential as thermomineral sources. Author PORTUGUESE: ENGLISH summary (INPE-1 146-PE/099) Avail. NTIS HC A02/MF A01 N79-105O2*# National Aeronautics and Space Administration. A preliminary geological precambrian map was done using Goddard Space Flight Center, Greenbelt, Md. LANDSAT images and SLAR mosaics of the project RADAM/

26 04 GEOLOGY AND MINERAL RESOURCES

BRAZIL The map is presented in three parts which correspond illustrations to the South, the East and the North of the State. B.B. (NASA-TM-78912; E-S647) Avail: NTIS HC A05/MF A01 CSCL 081 The utility of aircraft multispectral scanner data for describing the land cover features of an abandoned contour-mined coal N79-12628*# Institute de Pesquisas Espaciais, Sao Jose dos mine is considered. The data were obtained with an 11 band Campos (Brazil). multispectral scanner at an altitude of 1.2 kilometers. Supervised, PROJECT GONDWANA: JUGARIBE SB 24 [PROJETO GONDWANA: FOLHA JAGUARIBE 88-24] maximum-likelihood statistical classifications of the data were made to establish land-cover classes and also to describe in Nelson deJesusParada. Principal Investigator. Edison Crepani. Paulo Roberto Martini, and Roberto Pereira daCunha Aug. 1978 more detail the barren surface features as they may pertain to 6 p refs In PORTUGUESE: ENGLISH summary Sponsored the reclamation or restoration of the area. The scanner data for by NASA ERTS the surface-water areas were studied to establish the variability (E79-10013; NASA-CR-157902) Avail: NTIS and range of the spectral signatures. Both day and night thermal HC A02/MF A01 CSCL 05B images of the area are presented. The results of the study show that a high degree of statistical separation can be obtained from the multispectral scanner data for the various land-cover features. G.G. N79-12529*# Institute de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). REMOTE SENSING APPUED TO SURVEYING THE THER- N79-14601*! National Aeronautics and Space Administration. MOMINERAL WATER REGION OF CALDAS NOVAS. GOIAS Washington. D. C. [SENSORES REMOTOS APUCADOS A PROSPECCAO DE APPLICATION OF LANDSAT IMAGES IN THE MINAS AGUAS TERMOMINERAIS NO MUNICIPIO DE CALDAS GERAIS TECTONIC DIVISION NOVAS, GOIAS] Roberto Pereira daCunha and Juercio Tavares deMattos Dec. Nelson deJesusParada. Principal Investigator. Paulo Veneziani, 1978 26 p refs Transl. into ENGLISH of "Aplicacao de Imagens and Celio Eustaquio dosAnjos Aug. 1978 11 p refs In LANDSAT na Compartimentacao Tectonica de Minas Gerais". PORTUGUESE: ENGLISH summary Sponsored by NASA Rept. INPE-1325-PE/155 Inst. de Pesquisas Espaciais. Sao ERTS Paulo, Brazil. Aug. 1978 14 p Transl. by Kanner (Leo) Associates. (E79-10014: NASA-CR-157903) Avail: NTIS Redwood City. Calif. HC A02/MF A01 CSCL 08H (Contract NASw-3199) (NASA-TM-75584; INPE-1325-PE/155) Avail: NTIS HC A03/MF A01 CSCL 08G The interpretation of LANDSAT data for a regional geological investigation of Brazil is provided. Radar imagery." aerial pho- N79-1M33*l Institute de Pesquisas Espaciais. Sao Joss dos tographs and aeromagnetic maps were also used. Automatic Campos (Brazil). interpretation, using LANDSAT OCT's was carried out by the UTILIZATION OP LANDSAT IMAGES FOR GEOLOGICAL 1-100 equipment. As a primary result a tectonic map was INVESTIGATION IN THE Cf NTHAL PORTION OF MINAS obtained, at 1:1.000.000 scale, of an area of about GENAIS [APUCACAO OE IMAGENS LANDSAT NA 143,000 square kilometers, in the central portion of Minas Gerais COMPARTIMEN TACAO TECTONICA EM MINAS GER and Eastern Goias States, known as regions potentially rich in AIS] mineral resources. G.G. Nelson deJesusParada, Principal Investigator. Roberto Pereira daCunha. and Juercio Tavares deMattos Aug. 1978 16 p N79-1536O*# Geological Survey. Denver. Colo. Branch of refs In PORTUGUESE: ENGLISH summary Presented at 30th Petrophysics and Remote Sensing. Congresso Brasileiro de Geologia. Brazil, 1-7 Nov. 1978 GEOLOGIC APPLICATION OF THERMAL-INERTIA MAP- Sponsored by NASA ERTS (E79-10020: NASA-CR-157909: INPE-1325-PE/155) Avail: PING FROM SATELLITE Progress Report. 1 Sep. - 31 Nov. 1978 NTIS HC A02/MF A01 CSCL 05B Terry W. Offield, Principal Investigator, Susanne H. Miller, and Kenneth Watson Dec. 1978 9 p Sponsored by NASA ERTS (E79-10081; NASA-CR-157974) Avail: NTIS HC A02/MF A01 CSCL 08B N79-13448*# Institute de Pesquisas Espaciais, Sao Jose dos The author has identified the following significant results. Campos (Brazil). Approximately 400 miles of low altitude scanner data of good THE APPLICATION OF REMOTE SENSORS IN THE quality was acquired over the Powder River Basin between INTERPRETATION OF LANDSAT DATA FOR REGIONAL 13-16 Oct. 1978. Radiometric and meteorological data from three GEOLOGICAL MAPPING IN THE CENTRAL PORTION OF ground stations were also acquired in support of low altitude MINAS GERAIS [APUCACAO DE SENSORES REMOTOS. U.S.G.S. overflights. COM ENFASE EN IMAGENS LANDSAT. EN MAPEAMENTO GEOLOGICO REGIONAL NO NORTH DE MINAS GERAIS] Nelson deJesusParada, Principal Investigator. Juercio Tavares N79-15379# Lockheed Electronics Co.. Inc., Las Vegas. Nev. deMattos, and Roberto Pereira daCunha Apr. 1978 229 p Remote Sensing Lab. refs In PORTUGUESE; ENGLISH summary Sponsored by NASA REMOTE MONITORING OF COAL STRIP MINE REHABILI- Original contains imagery. Original photography may be purchased TATION Final Report. 1 Jul. 1975 - 31 Dec. 1976 from the EROS Data Center, Sioux Falls, S. D. 57198 ERTS James E. Anderson and Charles E. Tanner Jul. 1978 71 p (E79-10039; NASA-CR-157926) Avail: NTIS refs HCA11/MFA01 CSCL 05B (Contract EPA-68-03-2636) (PB-286647/3: EPA-600/7-78-149) Avail: NTIS HC A04/MF A01 CSCL 08! The results of manual photointerpretation and, automated data analysis are discussed. Included is a feasibility study to use LANDSAT data for performing a regional land-cover N79-13472*jP National Aeronautics and Space Administration. classification of a portion of the Powder River Basin area in Lewis Research Center. Cleveland. Ohio. northeastern Wyoming, where there are numerous coal strip APPLICATION OF MULTISPECTRAL SCANNER DATA TO mines. GRA THE STUDY OF AN ABANDONED SURFACE COAL MINE Ernie W. Spisz Nov. 1978 80 p refs Original contains color

27 A79-11379 tt Remote sensing oceanographic and terrestrial 05 information systems. A. K. McQuillan, J. C. Henein, L. W. Morley OCEANOGRAPHY AND MARINE (Canada Centre for Remote Sensing, Ottawa, Canada), and D. J. Clough (Waterloo, University, Waterloo, Ontario, Canada). In: RESOURCES Conference on the Economics of Remote Sensing Information Systems, 1st, San Jose, Calif., January 19-21, 1977, Proceedings. Includes sea-surface temperature, ocean bottom surveying San Jose, Calif., San Jose State University, 1977, imagery, drift rates, sea ice and icebergs, sea state, fish loca- p. 105-127. 10 refs. tion. Some airborne remote sensing applications are considered, taking into account applications of multispectral photography, the detection of heat loss from buildings, the detection of leaks in underground heating systems, and the determination of frost prone areas in the Niagara fruit belt. Questions related to the application A79-11000* The blue-to-green reflectance ratio and lake and benefits of Landsat data are also discussed, giving attention to water quality. K, R. Piech, J. R. Schott (Calspan Corp., Buffalo, the monitoring to snow and fresh water ice conditions, the N.Y.), and K. M. Stewart (New York, State University, Buffalo, monitoring of forest conditions, aspects of topographic mapping, N.Y.). Photogrammetric Engineering and Remote Sensing, vol. 44, operational and historical sea ice information, geological applica- Oct. 1978, p. 1303-1310. 19 refs. NSF Grants No. GA-37768; No. tions, and wheat forecasting benefits. It is pointed out that GA-32207; Contract No. NAS9-13336. oceanographic remote sensing information systems have considerable Correlations between the relative values of the blue and green potential economic value because of the dynamic nature of ocean- reflectances of a lake and water quality indices, such as depth of related phenomena and the difficulty of obtaining adequate informa- photic zone, Secchi disk transparency, attenuation coefficient, and tion by alternative methods. G.R. chlorophyll concentration, have been observed during an intensive satellite, aircraft, and surface vessel 'study of Lake Ontario and Conesus Lake. Determinations of blue and green reflectances from A79-11766 * -' Quantitative mapping of paniculate iron in an Skylab S190A color imagery are in excellent agreement with values ocean dump using remotely sensed data. C. W. Ohlhorst (NASA, obtained from small-scale color imagery from aircraft. Further, the Langley Research Center, Hampton, Va.) and G. S. Bahn (Vought accuracy of the satellite data appears within that required for Corp., Hampton, Va.). American Congress on Surveying and Mapping extrapolation to the water quality indices. The study has also and American Society of Photogrammetry, Annual Spring Conven- determined that changes in chlorophyll, lignin, and humic acid tion, Washington, D.C., Feb. 26-Mar. 3, 1978, Paper. 17 p. 9 refs. concentration can be discriminated by the behavior of the blue-to- A remote sensing experiment was conducted at the industrial green reflectance ratio and the reflectances of the green and red acid waste ocean dump site located approximately 38 n mi SE of bands. (Author) Cape Henlopen, Delaware, to see if there was a relationship between aircraft remotely sensed spectral signatures and the iron concentra- tion measured in the plume. Results are presented which show that A79-11248 * Application of space remote sensing tech- aircraft remotely sensed spectral data can be used to quantify and nology to living marine resources in coastal zones. E. L. Tilton, III map an acid waste dump in terms of its paniculate iron concentra- (NASA, National Space Technology Laboratories, Earth Resources tion. A single variable equation using the ratio of band 2 (440-490 Laboratory, Slidell, La.). International Astronautical Federation, nm) radiance to band 4 (540-580 nm) radiance was used to quantify International Astronautical Congress, 29th, Dubrovnik, Yugoslavia, the acid plume and the surrounding water. The acid waste varied in Oct. 1-8, 1978, Paper 78-110. 14 p. 8 refs. age from freshly dumped to 3 1/2 hours old. Paniculate iron This paper describes a compilation of new Landsat satellite concentrations in the acid waste were estimated to range up to 1.1 remote sensing techniques for treatment of Coastal Zone Living mg/liter at the 0.46 meter depth. A classification technique was Marine Resource problems. The techniques have been developed over developed to remove sunglitter-affected pixels from the data set. the past three to five years using optimized digital analysis (Author) procedures and evaluated in limited coastal areas of the United States. However, most of the techniques are directly applicable to A79-12506 Space observations over fishing grounds. K.-H. other areas of the world, particularly in those areas where Landsat Szekielda (Hamburg, Universitat, Hamburg, West Germany). In: The satellite data are available. Each technique presented herein has been contribution of space observations to global food information documented and published separately as a NASA report within the systems; Proceedings of the W. Nordberg Memorial Symposium, Tel last three years. The data required to substantiate the conclusion that Aviv, Israel, June 7-18, 1977. Oxford, Pergamon 'significant new space remote sensing techniques are now available Press, Ltd., 1978, p. 173-179. 7 refs. for the treatment of Coastal Zone Living Marine Resource problems' The importance of upwelling for fisheries is considered, and the are contained within these reports and are referenced herein. use of satellites to monitor upwelling is discussed. It is suggested that (Author) upwelling patterns can be detected from satellite observations of temperature anomalies and changes in sea color. The correlation of A79-11271 Useful spaceborne synthetic aperture radars. changes in these parameters with areas of high productivity is examined. M.L. R. C. Beal (Johns Hopkins University, Laurel, Md.). International Astronautical Federation, International Astronautical Congress, 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-148. 14 p. 11 A79-13384 Application of the remote sensing of sea color refs. for the study of marine suspensions (Interet de la teledetection de la The paper surveys the application of spaceborne synthetic couleur de I'eau de mer pour I'etude des suspensions marines). Y. F. aperture radar in remote sensing noting the Seasat program. The Thomas (Ecole Normale Superieure, Montrouge, Hauts-de-Seine, Seasat program has been used to study waves generated by winter France). In: Space research XVIII; Proceedings of the Open Meetings storms, variations in the polar ice cap, ocean current boundaries, and of the Working Groups on Physical Sciences, Tel Aviv, Israel, June iceberg drifting. The measurement of relative backscatter is discussed 7-18, 1977. Oxford, Pergamon Press, Ltd., 1978, noting potential error sources such as the primary standard, p. 35-38. 8 refs. In French. small-scale local errors in the vicinity of strong sources, antenna Consideration is given to models of radiative transfer applicable pattern uncertainties, processing variability, and coherent speckle. to the evaluation of water quality. The models of Gordon (1976), Geometric accuracy is described and recommendations are made for Viollier (1976), and Prieur (1976) are discussed with reference to future work. S.C.S. data obtained from bands 4, 5, and 6 of the Landsat multispectral

29 05 OCEANOGRAPHY AND MARINE RESOURCES

scanner. A Landsat image taken in March 1973 is interpreted in 'linear' clusters that appear on scatter diagrams associated with conjunction with a retrodiffusion albedo model of the western eigenvectors. Signatures associated with acid waste, sewage sludge, portion of the Mont Saint Michel Bay. S.C.S. oil, and algae are presented. The application of vector analysis to two acid waste dumps overflown two years apart is examined in some A79-13837 If 'Smart' remote sensor needs for U.S. Coast detail. The relationships between eigenvectors and spectral signatures Guard ocean environment missions. R. M. Hayes (U.S. Coast Guard for these examples are analyzed. These cases demonstrate the value Oceanographic Unit, Washington, D.C.). American Institute of of characteristic vector analysis in remotely identifying pollutants in Aeronautics and Astronautics and NASA, Conference on 'Smart' the ocean and in determining the consistency of their spectral Sensors. Hampton, Va.. Nov. 14-16, 1978, AIAA Paper 78-1721. 8 p. signatures. (Author) 24 refs. Expanded jurisdiction and increased statutory requirements have led the U.S. Coast Guard to evaluate various remote sensing A79-"15119 * Laboratory studies of in vivo fluorescence of systems for their potential to satisfy operational mission require- phytoplankton. C. A. Brown, Jr., F. H. Farmer, 0. Jarrett, Jr., and ments for maritime safety, environmental protection, and law W. L. Staton (NASA, Langley Research Center, Hampton, Va.). In: enforcement. The real-time nature of operations, the multiple use Joint Conference on Sensing of Environmental Pollutants, 4th, New aspect of the sensors, and the wide areal coverage dictates a need for Orleans, La., November 6-11, 1977, Proceedings. complex, swift, and accurate data processing systems. The develop- Washington, D.C., American Chemical Society, 1978, p. 782-788. 14 ment of the 'smart' remote sensor concept for ocean environment refs. data collection should include consideration of the operational user A lidar system is developed that uses four selected excitation with quick turnaround needs. Experience has shown that design goals wavelengths to induce chlorophyll 'a' fluorescence which is indicative should 03 to provide direct to the user preprocessed data to reduce of both the concentration and diversity of phytoplankton. The the delay time in data utilization and to facilitate operational use of operating principles of the system and the results of measurements of remotely sensed data. (Author) phytoplankton fluorescence in a controlled laboratory environment are presented. A comparative study of results from lidar fluorosensor laboratory tank tests using representative species of phytoplankton A79-13850 * ,7 Advanced systems requirements for ocean in single and multispecies cultures from each of four color groups observations via microwave radiometers. H.-J. C. Blume, C. T. Swift, reveals that (1) there is good correlation between the fluorescence of and B. M. Kendall (NASA, Langley Research Center, Hampton, Va.). chlorophyll 'a' remotely simulated and detected by the lidar system American Institute of Aeronautics and Astronautics and NASA, and in-situ measurements using four similar excitation wavelengths in Conference on 'Smart' Sensors, Hampton, Va., Nov. 14-16, 1978, a flow-through fluorometer; (2) good correlation exists between the AIAA Paper 78-1737. 7 p. 5 refs. total chlorophyll 'a' calculated from lidar-fluorosensor data and A future microwave spectroradiometer operating in several measurements obtained by the Strickland-Parsons method; and (3) frequency bands will have the capability to step or sweep frequencies the lidar fluorosensor can provide an index of population diversity. on an adaptable or programmable basis. The on-board adaptable S.D. frequency shifting can make the systems immune from radio interference. Programmable frequency sweeping with on-board data inversion by high speed computers would provide for instantaneous A79-16776 ff Remote sensing and ocean modelling - An synoptic measurements or sea surface temperature and salinity, water application to the Adriatic Sea. P. Malanotte-Rizzoli (CNR, Labora- surface and volume pollution, ice thickness, ocean surface winds, torio per lo Studio della Dinamica delle Grandi Masse, Venice, Italy) snow depth, and soil moisture. Large structure satellites will allow an and G. Halikas (California, University, La Jolla, Calif.). In: Space in order of magnitude improvement in the present radiometric measure- the service of man; International Scientific Conference on Space, ment spacial resolution. (Author) 18th, Rome, Italy, March 15, 16, 1978, Proceedings. Rome, Rassegna Internazionale Elettronica Nucleare ed Aero- spaziale, 1978, p. 291-300. 5 refs. A79-14158 # Multispectral classification on tidal lands. E. The complementary use of qualitative and quantitative satellite Dennert-Moller (Hannover, Technische Universitat, Hanover, West imagery is considered, and the use of qualitative imagery to study Germany). In: Image processing • Interactions with photogrammetry circulation in the Adriatic Sea is described. Visible and infrared and remote sensing; Proceedings of the International Symposium, wavelength imagery was obtained to supplement and confirm Graz, Austria, October 3-5, 1977. Graz, Tech- temperature distribution patterns determined from oceanographic nische Universitat Graz, 1978, p. 37-40. cruise data. Interpretation of the satellite data is discussed, tempera- The application of maximum-likelihood classification to multi- ture patterns of the Adriatic Sea are reported, and a dynamical spectral images of the tidal flats of the Jade estuary at the North Sea circulation model of the north Adriatic Sea is summarized. M.L. is discussed. Frame photographs, Landsat images, and airborne multispectral scans were obtained of such tidal flat structures as mud flats, sand flats, dry sand, seagrass, diatoms, and certain types of N79-11647# National Marine Fisheries Service, Seattle. Wash. shells. It is found that the maximum likelihood method is successful SEA SURFACE TEMPERATURE DISTRIBUTIONS OB- in classifying uncovered tidal flats (such as mud and sand flats) and TAINED OFF SAN DIEGO, CALIFORNIA. USING AN in discriminating them from covered flats. The same thing is true for AIRBORNE INFRARED RADIOMETER seagrass meadows if the training fields are pretreated in the specified James L. Squire (Natl. Marine Fisheries Service. La Jolla. Calif.) manner. Diatoms, however, cannot be classified in this way. B.J. Mar. 1978 38 p refs (PB-284736/6: NOAA-TR-NMFS-SSRF-720: NOAA-78062601) Avail: NTIS HCA03/MFA01 CSCL 08T A79-15103 * Signature extraction of ocean pollutants by Sea surface temperature surveys were conducted weekly off San Diego. Calif., using an airborne infrared radiometer during eigenvector transformation of remote spectra. G. W. Grew (NASA, the months of April through October 1972-74. A total of Langley Research Center, Hampton, Va.). In: Joint Conference on 900 surveys were made over the 320 mile flight track. The Sensing of Environmental Pollutants, 4th, New Orleans, La., Novem- analog chart record of temperature was keyed to a ground truth ber 6-11, 1977, Proceedings. . Washington, D.C., temperature measurement and read to determine 1 min average American Chemical Society, 1978, p. 659-666. temperatures which were plotted on the flight track and Spectral signatures of suspended matter in the ocean are being 1F(0.56CI isotherms were contoured from the data. The 1972-74 extracted through characteristic vector analysis of remote ocean survey temperatures taken over the ground truth calibration site color data collected with MOCS (Multichannel Ocean Color Sensor). were compared with a time series of temperature observations Spectral signatures appear to be obtainable through analyses of taken during the same month from 1963 to 1968. GRA

30 05 OCEANOGRAPHY AND MARINE RESOURCES

N79-1164Q# Inter-American Tropical Tuna Commission. La Jolla, Oceanog. Biol., Sao Paulo, Brazil. 20-25 Nov. 1978 Calif. (INPE-1380-PE/177) Avail: NTIS HC A02/MF A01 COASTAL ZONE AND OPEN OCEAN OBSERVATIONS The feasibility of estimating the chlorophyll content of ocean FROM NOAA SATELLITE VERY HIGH RESOLUTION waters through the use of multispectral remote sensors on board RADIOMETERS Final Report orbiting satellites is discussed. Some aspects of the physical Merritt R. Stevenson and Robert G Kirkham Dec. 1977 99 p foundations of the interaction processes of visible light with the refs atmosphere and liquid mass and some models for this detection (Contract NOAA-03-7-208-35236) are included. J.M.S. (PB-284445/4: NOAA-78070512) Avail: NTIS HC A05/MF A01 CSCL 08J The utility of very high resolution radiometers, aboard N79-14712# Institute de Pesquisas Espaciais. Sao Jose dos NOAA-5. for measuring sea surface temperature (SST) is Campos (Brazil). considered. The feasibility of deriving reliable SST's from the THE APPLICATION OF REMOTE SENSORS TO A MODEL thermal infrared data sensed by these instruments, for both coastal FOR FISH MAPPING [O SENSORIAMENTO REMOTO zone and open ocean regions during CY 1978 is stressed. The APUCADO A UM MODELO DE CARTAS DE PE8CA] investigations include the analysis of very high resolution Sydnea Maluf Oct. 1978 12 p refs In PORTUGUESE. ENGLISH radiometer infrared (VHRRIR) digital data fields from eight summary Presented at the 5th Simp. Latinoam. sobre Oceanog. particular NOAA series satellite orbits. The derived SST fields Biol.. Sao Paulo. Brazil. 20-25 Nov. 1973 are contoured both by grayscaling. and by the more conventional (INPE-1379-PE/176) Avail: NTIS HCA12/MFA01 streamline format, and estimates are also made of absolute A methodology for the determination of the best potential derived SST's. GRA fishing zones, for sardines, in the Brazilian coastal area of the southwestern tropical Atlantic Ocean, between latitudes 21 deg 45 S and 25 deg OO'S and longitudes 40 deg 50'W and 47 deg OO'W is presented. A fishing chart model was developed N7S-13437*f|( Institute de Pesquisas Espaciais. Sao Jose dos from observations relative to the months of July, August, Campos (Brazil). September, November and December. Marine fishing charts APPLICATION OF LANDSAT SATELLITE IMAGERY AND containing such zones are presented for the September month. OCEANOGRAPHIC DATA FOR VERIFICATION OF AN The potentiality of the VHRR-IR and the surface charts of NCAA's UPWELUNG MATHEMATICAL MODEL [APUCACAO DAS satellite in determinating fishing zones is demonstrated. G.G. IMAOENS DO SATEUTE LANDSAT E DADOS OCEANOG RAFICOS NA VEMIFICACAO OE UM MODELO MATEMA- TICO DE RESSURGENCIA] Nelson deJesusParada, Principal Investigator. Keiko Tanaka. and N79-15357*# Florida Univ.. Gainesville. Florida Agricultural Emmanuel Gama Almeida Aug. 1978 2.1 p refs In Market Research Center. PORTUGUESE; ENGLISH summary Sponsored by NASA Original COMMERCIAL FISHING PORT DEVELOPMENT IN NORTH contains imagery. Original photography maybe purchased from FLORIDA the EROS Data Center. Sioux Falls. S. D. 57198 ERTS Kary Mathis, Principal Investigator, James C. Cato. Paul D. Degner, (E79-10026: NASA-C -157915: INPE-1349-NTE/131) Avail: Paul D. Landrum, and Fred J Prochaska Sep. 1978 242 p NTIS HC A02/MF A01 CSCL 08C refs Sponsored by NASA and in part by Gulf and South Atlantic The author has identified the following significant results.- Fisheries Development Foundation,-Inc. Original contains imagery._ Data obtained during the' cruise of the Cabo Frio and from Original photography may be purchased from the EROS Data LANDSAT imagery are used to discuss the characteristics of a Center, Sioux Falls. S. D. 57198 ERTS linear model which simulates wind induced currents calculated (E79-10078: NASA-CR-1 5797 1: Rept-78-6) Avail: NTIS from meteorological conditions at the time of the mission. There HC A11/MF A01 CSCL 05C is a significant correspondence between the model of simulated The author has identified the following significant results. horizontal water circulation, sea surface temperature, and surface Seven major counties were examined: Escambia. Bay, Gulf, currents observed on LANDSAT imagery. Close approximations Franklin, Wakulla, Nassau, and Duval. Population and economic were also observed between the simulation of vertical water activity were reviewed, along with commercial fishing and port movement (upwelling) and the oceanographic measurements taken facilities. Recommendations for five northwest Florida counties along a series of points of the prevailing currents. were based on interpretation of aerial photographs, satellite imagery, an aerial survey site visit, and published data. Major needs in Pensacola included docking, ice supply, and net and engine repair services. Costs for additional docks, an ice plant, N79-13996| Joint Publications Research Service, Arlington, and gear storage were estimated at $3,658,600. Port users in Va. Panama City identified additional docking and gear storage as OCEAN OBSERVATION FROM SPACE primary needs, along with gear repair and a marine railway. A. Bolshakov In its Transl. on USSR Sci. and Technol.: Phys. Estimated costs for dock and gear storage were $2,860,000. Sci. andTechnol.. No. 54 (JPRS-72282) 22 Nov. 1978 p 61-64 Added docking, gear storage, and ice supply, as well as gear Transl. into ENGLISH from Aviat. Kosmonavt. (Moscow), no. 9. electronics and diesel repair were needed in Port St. Joe. Costs 1978 p 32-33 were calculated at $1.231.500. Franklin County has three ports Copyright. Avail: NTIS HC A05/MF A01 (Apalachicola - $1,107,000 for docks and gear storage. East- Investigations of the seas and oceans made from Soviet point - $420.000 for additional docks, and Carrabella - $2,824. spaceships and orbiting stations are described. Visual observation 100 for docks, gear storage, and ice plant). and television were used to establish the relationship between cloud cover and ocean currents. Other areas discussed include ocean floor topography, satellite communications systems at sea. N79-15371*# Jet Propulsion Lab., Calif. Inst. of Tech., Pasadena. ocean surface characteristics, temperature distribution, and SEASAT A. OCEANOGRAPHY TODAY petroleum pollution. S R.S. [1978] 15 p Sponsored by NASA Original contains color illustrations N79-14699jjf Institute de Pesquisas Espaciais. Sao Jose dos (NASA-CR-158064) Avail. NTIS HC A02/MF A01 CSCL Campos (Brazil). 08C The mission, orbital flight, and onboard instrumentation of APPLICATION OF REMOTE SENSING TO THE ESTIMATION OF CHLOROPHYLL IN OCEAN WATER [O SENSORIA- Seasat A are described F.O.S. MENTO REMOTO APUCAOO NA ESTIMATIVA DA CON CENTRACAO DE CLOROFILA NO MAR] Joao Antonio Lorenzzetti Oct. 1978 12 p refs In PORTUGUESE: ENGLISH summary Presented at the 5th Simp. Latinoam. Sobre

31 A79-11755 g The use of Landsat-derivcd land cover data in 06 a flood peak correlation study. A. W. Voss (Tennessee Valley Authority, Mapping Services Branch, Chattanooga, Tenn.), J. E. HYDROLOGY AND WATER Baker (Hydrocomp, Inc., Atlanta, Ga.), G. E. Hauser, and D. W. Newton (Tennessee Valley Authority, Flood Control Branch, MANAGEMENT Knoxville, Tenn.). In: American Society of Photogrammetry, Annual Meeting, 44th. Washington, D.C., February 26-March 4, 1978, Includes snow cover and water runoff in rivers and glaciers, Proceedings. Falls Church, Va., American saline intrusion, drainage analysis, geomorphology of river Society of Photogrammetry, 1978, p. 135-146. 7 refs. basins, land uses, and estuarine studies. Ground-cover information derived from Landsat data has been used to estimate the flood-flow frequency for ungaged watersheds. A set of prediction equations, defining flood flow at several exceedence frequencies as a function of ground cover and other geomorphic and climatic characteristics, is developed on the basis of multiple regression techniques. Nine ground-cover groups are defined for two Landsat scenes: eastern Tennessee and portions of the Tennessee A79-11661 40 years of Mississippi River floodplain change Valley. Eleven geomorphic characteristics for each watershed are assessed by aerial photography. K. N. Olson (Idaho, Dept. of Lands, found from 1:24,000-scale topographic maps. The results indicate Boise, Idaho) and M. P. Meyer (Minnesota, University, St. Paul. that a significant decrease in the standard error of estimate is Minn.). In: American Society of Photogrammetry, Fall Technical achieved when Landsat ground-cover data is used in the regression Meeting, Little Rock, Ark., October 18-21, 1977, Proceedings. analysis. S.C.S. Falls Church, Va., American Society of Photo- grammetry, 1977, p. 40-53. 8 refs. Grant No. DACW37-74-C-0043. A79-11756 # Landsat analysis of lake quality for statewide lake classification. F. L. Scarpace, L. T. Fisher (Wisconsin, Univer- sity, Madison, Wis.), and K.W. Holmquist (Wisconsin Department of Natural Resources, Madison, Wis.). In: American Society of Photo- A79-11667* Landsat change detection can aid in water grammetry, Annual Meeting, 44th, Washington, D.C., February quality monitoring. H. C. MacDonald, K. F. Steele, W. P. Waite 26-March 4, 1978, Proceedings. Falls Church, (Arkansas, University, Fayetteville, Ark.), and M. R. Shinn. In: Va., American Society of Photogrammetry, 1978, p. 173-195. 6 refs. American Society of Photogrammetry, Fait Technical Meeting, Little Landsat data have been used in the cooperative program Rock, Ark., October 18-21, 1977, Proceedings. between the Wisconsin Department of Natural Resources and the Falls Church, Va., American Society of Photogrammetry, 1977, p. University of Wisconsin at Madison in a study of the trophic status of 192-203. NASA-supported research. inland lakes. As part of the analysis procedures, a computer program Comparison between LandsaM and -2 imagery of Arkansas was developed to decode multispectral data from Landsat tapes and provided evidence of significant land use changes during the 1972-75 to create character maps. The results show that Landsat multispectral time period. Analysis of Arkansas historical water quality informa- scanner data is capable of monitoring lake trophic conditions when tion has shown conclusively that whereas point~sou>ce pollution multitemporal- satellite dataJs .employed.. Corrections for atmo- generally can be detected by use of water quality data collected by spheric effects and additional ground calibration data are also state and federal agencies, sampling methodologies for nonpoint required. S.C.S. source contamination attributable to surface runoff are totally A79-11757 # Multidate data extraction procedures for a inadequate. The expensive undertaking of monitoring all nonpoint statewide Landsat lake quality monitoring program. L. T. Fisher, F. sources for numerous watersheds can be lessened by implementing L. Scarpace (Wisconsin, University, Madison, Wis.), and R. G. Landsat change detection analyses. (Author) Thomsen (Kinetic Research, Inc., Madison, Wis.). In: American Society of Photogrammetry, Annual Meeting, 44th, Washington, D.C., February 26-March 4, 1978, Proceedings. A79-11672* Multispectral remote observations of hydro- Falls Church, Va., American Society of Photogrammetry, 1978, p. logic features on the North Slope of Alaska. D. K. Hall (NASA, 196-213. 7 refs. Goddard Space Flight Center, Greenbelt, Md.) and M. L. Bryan The paper discusses the project developed to operationally (California Institute of Technology, Jet Propulsion Laboratory, monitor water quality in about 3,000 inland lakes in Wisconsin Pasadena, Calif.). In: American Society of Photogrammetry, Fall developed by the University of Wisconsin at Madison and the Technical Meeting, Little Rock, Ark..October 18-21, 1977, Proceed- Wisconsin Department of Natural Resources. The requirements of ings. Falls Church, Va., American Society of the data-extraction process are identified as multidate analysis, Photogrammetry, 1977, p. 393-424. 43 refs. atmospheric corrections, consistent data-set size, the use of auto- Visible and near-infrared Landsat satellite imagery and active mated techniques, and the utilization of existing hardware. The and passive aircraft microwave data are used to analyze some programs and files developed to meet these requirements are hydrologic features in Arctic Alaska. Lake studies using passive discussed including: a master lakes file called ACCESS, a control microwave imagery reveal that an increase in the microwave point file, a data file linked to ACCESS, programs to generate, test brightness temperature correlates with an increase in ice thickness. and edit the files, a control point file, a navigation program called Synthetic Aperture Radar (SAR) imagery allows determination of SATNAV, and a data extraction program called EXTRACT. S.C.S. lakes that are frozen to the bottom under certain conditions. Landsat imagery of lakes can be used to study summer ice cover dissipation, A79-11758 if Summary report - Application of Landsat to an indicator of lake depth. River channel morphometry and the surveillance of lake eutrophication in the Great Lakes basin. R. morphology studies are accomplished using SAR data with good (25 H. Rogers, J. B. McKeon (Bendix Corp., Aerospace Systems Div., m) resolution. Landsat imagery is shown to be useful for analyzing Ann Arbor, Mich.), V. E. Smith (Cranbrook Institute of Science, interannual variations in the extent of river icings (aufeis). Snow Bloomfield Hills, Mich.), and J. P. Scherz (Wisconsin, University, depth variations are shown to be potentially discernable using passive Madison, Wis.). In: American Society of Photogrammetry, Annual microwave data. Finally, the present and potential applications of Meeting, 44th, Washington, D.C., February 26-March 4, 1978, these remote sensing studies are discussed; these data are useful for Proceedings. Falls Church, Va., American locating potable water sources, planning construction in good Society of Photogrammetry, 1978, p. 214-225. locations, and for analyzing interannual climate fluctuations. The cost benefits of using Landsat on an operational basis in the (Author) surveillance and control of lake eutrophication was established. To

33 06 HYDROLOGY AND WATER MANAGEMENT

accomplish this, Landsat data were used to derive maps and data techniques. Statistically significant correlations exist between spec- graphics to support the EPA's study of lake eutrophication in tral bands, several of the trophic indicators (chlorophyll a, Secchi Saginaw Bay, the State of Michigan, and the State of Wisconsin's lake disk transparency, total organic nitrogen), and the trophic state and watershed studies. These users provided ground truth and index. Color-coded photomaps were generated which depict the supported evaluation of cost benefits of Landsat products. The spectral aspects of trophic state. Multispectral scanner data acquired significant results of the program included the demonstration of from satellite and aircraft platforms can be used to advantage in lake cost-effective systems for monitoring: trophic state of areas/scenes monitoring and survey programs. (Author) containing 200 or more lakes of 50 acres or larger; trophic state of the Great Lakes; and watershed land use required to predict A79-15133_ Use of Landsat imagery for Lake Nasser pollutants in runoff. (Author) resource management. S. E. Smith, E. M. Fead, and K. H. Mancy (Michigan, University, Ann Arbor, Mich.). In: Joint Conference on A79-12007 * An interactive lake survey program. A. Y. Sensing of Environmental Pollutants, 4th, New Orleans, La., Novem- Smith (California Institute of Technology, Jet Propulsion Labora- ber 6-11, 1977, Proceedings. Washington, D.C., tory, Pasadena, Calif.). In: Applications of digital image processing; American Chemical Society, 1978, p. 895-898. 14 refs. Research Proceedings of the International Optical Computing Conference, San supported by the U.S. Environmental Protection Agency and Ford Diego, Calif., August 25, 26, 1977. Bellingham, Foundation. Wash., Society of Photo-Optical Instrumentation Engineers, 1977, p. Landsat imagery, in combination with ground-truthed measure- 21-27. 5 refs. ments, were used for the study of the Lake Nasser Reservoir, created Consideration is given to the development and operation of the by the Aswan High Dam on the River Nile in Egypt and Sudan. interactive lake survey program developed by the Jet Propulsion Morphometric determinations included shoreline length and surface Laboratory and the Environmental Protection Agency. The program area and their seasonal and annual variations based on five different makes it possible to locate, isolate, and store any number of water measurement techniques. In addition, geographical and temporal bodies on the basis of a given digital image. The stored information variations of surface turbidity were determined, based on Secchi disc may be used to generate statistical analyses of each body of water water transparency data correlated with microdensitometric measure- including the lake surface area and the shoreline perimeter. The ments of Landsat imagery. Results were interpreted in terms of the hardware includes a 360/65 host computer, a Ramtek G100B display geographical distribution and degree of sedimentation of Nile silt in controller, and a trackball cursor. The system is illustrated by the the reservoir. These data are being used for the assessment of current LAKE LOG operation as it would be applied to a Landsat scene, and future holding capacity of the reservoir and the impact of noting the FARINA and STATUS programs. The water detection siltation on lake morphology and its fish resources. (Author) algorithm, which increases the accuracy with which water and land data may be separated, is discussed. S.C.S. A79-19895 On the nature of base flow and groundwater A79-15131 Biological water quality monitoring from re- occurrences in the Serayu River basin. A. M. J. Meijerink (Interna- mote stations and NASA GOES satellite. E. L. Morgan, K. W. tional Institute for Aerial Survey and Earth Sciences, Enschede, Eagleson (Tennessee Technological University, Cookeville, Tenn.), N. Netherlands). ITC Journal, no. 3, 1978, p. 503-513. McCollough (Tennessee, University, Knoxville, Tenn.), and R. Herrmann (U.S. Department of the Interior, National Park Service, Atlanta, Ga.). In: Joint Conference on Sensing of Environmental Pollutants, 4th, New Orleans, La.. November 6-11, 1977, Proceed- A79-20134 * Remote sensing of surface soil moisture. T. ings. Washington, D.C., American Chemical Schmugge (NASA, Goddard Space Flight Center, Greenbelt, Md.l. Society, 1978, p. 885-887. 5 refs. /Conference on Hydrometeorology, 2nd. Toronto, Canada, Oct. A two-component remote sensing unit for monitoring biological 25-27, 1977.) Journal of Applied Meteorology, vol. 17, Oct. 1978, p. water quality is described. One component involves a biomonitor 1549-1557. 16 refs. which uses digital logic to measure fish breathing rates; the The unique thermal and dielectric properties of water afford biomonitor is interfaced with a NASA remote data collection two possibilities for remotely sensing the moisture content in the platform for GOES-satellite transmission of data. The other com- surface layer of the soil. Observations of the diurnal range of surface ponent is a chemical/physical probe which simultaneously measures temperature, the microwave brightness temperature (emissivity) and dissolved oxygen, temperature, hydrogen ion concentration, conduc- radar backscatter of the soil have shown correlations of up to 0.9 tance, and oxidation-reduction potential. Biological and physical with the moisture in the surface layer (about 5 cm thick). The data are transmitted to a data processing center for immediate microwave techniques appear to maintain their sensitivity to mois- interpretation of data. Uses of the system are considered. M. L. ture variations in the presence of a crop canopy. Observations of microwave brightness temperature from satellite platforms have A79-15132 * Trophic classification of Colorado lakes utiliz- qualitatively confirmed this sensitivity for a wide range of condi- ing contact data, Landsat and aircraft-acquired multispectral scanner tions. (Author) data. D. H. P. Boland (U.S. Environmental Protection Agency, Las Vegas, Nev.) and R. J. Blackwell (California Institute of Technology, Jet Propulsion Laboratory, Pasadena, Calif.). In: Joint Conference on Sensing of Environmental Pollutants, 4th, New Orleans, La., Novem- N79-12523 North Carolina State Univ. at Raleigh. ber 6-11, 1977, Proceedings. Washington, D.C., THE ECOLOGY OF FOUR COASTAL LAKES IN NORTH American Chemical Society, 1978, p. 888-894. 15 refs. Contract No. CAROLINA: TROPHIC STATES MEASURED FROM SPACE NAS7-100. IMAGERY Ph.D. Thesis Multispectral scanner data, acquired over several Colorado lakes Robert Edward Hollman. Ill 1978 187 p using Landsat-1 and aircraft, were used in conjunction with National Avail: Univ. Microfilms Order No. 7820032 Eutrophication Survey contact-sensed data to determine the feasibil- The investigation was twofold. The first was to establish ity of assessing lacustrine trophic levels. A trophic state index was seasonal water quality changes occurring in Lake Mattamuskeet, Lake Phelps. New and Pungo Lakes of North Carolina, and the developed using contact-sensed data for several trophic indicators second was to ascertain if any water quality parameter(s) could (chlorophyll a, inverse of Secchi disk transparency, conductivity, be correlated with satellite imagery to form the basis of a trophic total phosphorous, total organic nitrogen, algal assay yield). Rela- state monitoring system. From the wide variety of possible trophic tionships between the digitally processed multispectral scanner data, state indicators. Secchi disc depth, total phosphorus, conductivity, several trophic indicators, and the trophic index were examined using and chlorophyll-a were found to be most useful. The four a supervised multispectral classification technique and regression parameters provided the most efficient indices for determining

34 06 HYDROLOGY AND WATER MANAGEMENT

eutrophication. The study demonstrates that the effectiveness offshore near water-deficient areas. A single iceberg could and accuracy of the satellite monitoring system for shallow coastal supply 1 million acre-feet of water -- enough to satisfy 10 million lakes is dependent upon the interpreter's knowledge of the urban users or irrigate 600 square miles of land for 1 year. Its probable seasonal cycle of the lake and of the general lake minimum value would be $20 million. Though possible with environment. Dissert. Abstr. existing technology, the handling of fragile, melting ice masses on the order ot 100 million tons (200 times the weight of the N79-12534# Conservation Foundation, Washington. D. C. largest supertankers) presents substantial problems. The environ- PHYSICAL MANAGEMENT OF COASTAL FLOODPLAINS: mental effects and legal responsibilities involved in transporting GUIDELINES FOR HAZARDS AND ECOSYSTEMS MAN- icebergs and locating them offshore are considered. GRA AGEMENT Dec. 1977 184 p refs Sponsored in part by EPA. Wash. N79-14512# Water Resources Council. Washington, D.C. D.C. THE NATION'S WATER RESOURCES. THE SECOND (PB-284164/1; NOAA-78060505) Avail: NTIS NATIONAL WATER ASSESSMENT. PART 1: INTRODUC- HC A09/MF A01 CSCL 13B TION Development and conservation guidelines for the coastal Apr. 1978 44 p refs 6 Vol. floodplain are offered in this technical report. Focusing primarily (PB-285747/2) Avail: NTIS HC A03/MF A01: also available on water systems and water-related aspects of the shoreland. in set of 6 reports HC E17. PB-285745-SET CSCL 13B guidelines for nine generalized 'places of concern' were developed. Recommendations for determining the adequacy of existing Conservation of coastal ecosystems is one of the two principal programs and policies for meeting the water requirements in objectives of this report. This report deals only with the each water resources region of the U.S. are proposed. GRA maintenance of natural defenses against storms and flooding. Characteristics and boundaries, ecological functions, natural N79-14513# Water Resources Council. Washington, D.C. resistance to hazards, environmental problems, potential manage- THE NATION'S WATER RESOURCES, THE SECOND ment responses, and conservation guidelines and restoration NATIONAL WATER ASSESSMENT. PART 2: WATER techniques are discussed. GRA MANAGEMENT PROBLEM PROFILES Apr. 1978 150 p refs 6 Vol. (PB-285748/0) Avail. NTIS HC A07/MF A01, also available N79-13426*! Ministry of Construction, Seoul (South Korea). in set of 6 reports HC £17. PB-285745-SET CSCL 13B LAND UK SURVEY AND MAPPING AND WATER RE- A general water balance analysis is presented for each of SOURCES INVESTIGATION IN KORE.A Final Report 106 subregions indicating the scope of critical water quantity, Jae Hwa Choi, Won-lk Kim. and Dae-Sung Son. Principal quality, and related land problems. The nature of each problem, Investigators 31 Aug. 1978 34 p Sponsored by NASA its implications and options for resolution are discussed for ERTS inadequate water supply: ground water depletion: surface water (E79-10003; NASA-CR-157898) Avail: NTIS pollution: ground water contamination; domestic water supply HC A03/MF A01 CSCL 088 contamination: flooding: erosion and sedimentation: drainage, and The author has identified the following significant results. bay, estuary, and coastal waters. The impact of each is examined Land use imagery is applicable to land use classification for with respect to public health, environmental quality, economic small scale land use mapping less than 1:250.000. Land use efficiency, resources conservation, international relations, perva- mapping by satellite is more efficient and more cost-effective siveness, and urgency. The names of the regions and aggregated than land use mapping from conventional medium altitude .aerial -subregions studied-are included. _ GRA photographs. Six categories of level 1 land use classification are recognizable from MSS imagery. A hydrogeomorphological study N79-14614| Water Resources Council. Washington. D.C. of the Han River basin indicates that band 7 is useful for THE NATION'S WATER RESOURCES, THE SECOND recognizing the soil and the weathering part of bed rock. The NATIONAL WATER ASSESSMENT. PART 3: FUNCTIONAL morphological change of the main river is accurately recognized WATER USES and the drainage system in the area observed is easily classified Apr. 1978 386 p refs 6 Vol. because of the more or less simple rock type. Although the (PB-285749/8) Avail: NTIS HC A17/MF A01: also available direct hydrological characteristics are not obtained from the MSS in set of 6 reports HC E17. PB-285745-SET CSCL 13B imagery, the indirect information such as the permeability of The national perspectives regarding existing (1975) and future the soil and the vegetation cover, is helpful in interpreting the (1985 and 2000) requirements for water to meet economic and hydrological aspects, social needs for basic products, services, and environmental conditions are presented. Offstream uses discussed include N79-13483# Water Resources Council. Washington. D.C. domestic and industrial needs, manufacturing and related THE NATION'S WATER RESOURCES. THE SECOND functions, and the production of energy, food, fibers and minerals. NATIONAL WATER ASSESSMENT. SUMMARY REPORT Instream requirements are analyzed for recreation activities, 13 Apr. 1978 58 p navigation requirements, fish and wildlife habitats and the (PB-285746/4) Avail: NTIS HC A04/MF A01 CSCL 138 maintenance of natural areas. Flow management is examined in A specific problem analysis was conducted by regional relation to flood damage, erosion, and sedimentation. State and sponsors, one from 21 water resources regions. State and regional regional viewpoints are considered separately for situations in viewpoints about the following were examined: (1) existing and which there are major viewpoint differences or projections. GRA future water related problems: (2) conflicts associated with ' meeting state and regional objectives: and (3) issues needing N79-14615f Water Resources Council, Washington. D.C. resolution. B.B. THE NATION'S WATER RESOURCES. THE SECOND NATIONAL WATER ASSESSMENT. PART 4: WATER SUPPLY AND WATER QUALITY CONSIDERATIONS Apr. 1978 99246 p refs 6 Vol. N79-l3486f National Oceanic and Atmospheric Administration. (PB-285750/6) Avail: NTIS HC A11/MF A01; also available Washington. D. C. Environmental Data Service. in set of 6 reports HC E17, PB-285745-SET CSCL 13B ICEBERGS FOR USE AS FRESH WATER The atmospheric, surface, and ground water resources of Jul. 1978 12 p the United States were analyzed to determine methods for (PB-285664/9: CIO 78/1) Avail: NTIS HCA02/MFA01 CSCL augmenting and conserving the nation's water supply to meet 138 national water and regional requirements. A water supply Over three quarters of the earth's supply of freshwater is adequacy analysis model is presented. The problem of water locked up in polar ice. Recent estimates have indicated that pollution is examined with emphasis on its sources and control. this water can be made available for use at 20 to 50% of the Water quality issues related to point and nonpoint sources are cost of desalination of seawater. Ice is used in locating and considered and the legal and institutional aspects of water transporting huge icebergs from the Antarctic and mooring them allocation and management are explored. GRA

35 06 HYDROLOGY AND WATER MANAGEMENT

N79-14516# Water Resources Council. Washington. O.C. N79-16347*# Lockheed Electronics Co.. Houston. Tex. Systems THE NATION'S WATER RESOURCES. THE SECOND and Services Div. NATIONAL WATER ASSESSMENT. PART 5: REGIONAL DETECTION AND MAPPING PACKAGE. ANALYST'S ASSESSMENT SUMMARIES GUIDE; INTERPRETING IMPOUNDED SURFACE WATER Apr. 1978 206 p 6 Vol. Final Report. Jan. - Apr. 1978 (PB-285751/4) Avail: NTIS HC A10/MF A01: also available R. C. Carnes. Principal Investigator. E. H. Schlosser. and R. G. in set of 6 reports HC E17. PB-285745-SET CSCL 13B Davis Sep. 1978 74 p refs Revised Original contains Estimates are made of physical and socio-economic data imagery. Original photography may be purchased from the EROS based on goals and objectives of the various states in the New Data Center. Sioux Falls. S. D. 57198 EREP England. MidAtlantic. South Atlantic Gulf. Rio Grande. Great (Contract NAS9-15200) Basin, and the Pacific Northwest regions of the U.S. GRA (E79-10067: NASA-CR-151857: LEC-12149; JSC-13970) Avail: NTIS HC A04/MF A01 CSCL 08H

N79-14517# Water Resources Council. Washington. D.C. THE NATION'S WATER RESOURCES. THE SECOND N79-16362*# National Aeronautics and Space Administration. NATIONAL WATER ASSESSMENT. APPENDIX B: Lyndon 8. Johnson Space Center, Houston, Tex. METHODOLOGIES AND SOCIO-ECONOMIC CHARACTER- A DETERMINATION OF THE OPTIMUM TIME OF YEAR ISTICS AND PATTERNS OF CHANGE AND WATER USE FOR REMOTELY CLASSIFYING MARSH VEGETATION AND WATER SUPPLY DATA FROM LANDSAT MULTISPECTRAL SCANNER DATA Apr. 1978 101 p refs 6 Vol. M. Knstine Butera. Principal Investigator Oct. 1978 40 p refs (PB-285815/7) Avail: NTIS HC A06/MF A01: also available Sponsored by NASA EREP in set of 6 reports HC E17. PB-285745-SET CSCL 13B (E79-10084: NASA-TM-58212: Rept-169) Avail: NTIS Basic assumptions and analytical methods used to determine HC A03/MF A01 CSCL 02F state and regional water use and supply and to prepare a future The author has identified the following significant results. A scenario of economic and social needs for basic products, services, technique was used to determine the optimum time for classifying and environmental conditions are presented. GRA marsh vegetation from computer-processed LANDSAT MSS data. The technique depended on the analysis of data derived from supervised pattern recognition by maximum likelihood theory. A dispersion index, created by the ratio of separability among the N79-14618# Nevada Univ., Reno. Desert Research Inst. class spectral means to variability within the classes, defined PRELIMINARY RUNOFF AND STREAMFLOW PREDIC- the optimum classification time. Data compared from seven TIONS IN THE HUMBOLDT RIVER BASIN BASED ON LANDSAT passes acquired over the same area of Louisiana marsh SNOW DISTRIBUTION MEASUREMENTS FROM SEQUEN- indicated that June and September were optimum marsh mapping TIAL SATELLITE IMAGERY times to collectively classify Bacchans halimifolia. Spartina patens. P. T. Tueller Apr. 1978 33 p refs Spartina alterniflora. Juncus roemericanus, and Distichlis spicata. (OWRT Proj. A-064-NEVd)) The same technique was used to determine the optimum (PB-286122/7: PUB-AG-2: PUB-43005: W78-11336) Avail: classification time for individual species. April appeared to be NTIS HC A03/MF A01 CSCL 08H the best month to map Juncus roemericanus; May. Spartina Data gathered from the field and subsequent calculations, alterniflora: June. Bacchans halimifolia. and September. Spartina reasonably accurate figures concerning future water resources patens and Distichlis spicata. This information is important, for can be forecasted from snow course measurements. The feasibility instance, when a single species is recognized to indicate a of improving runoff and stream flow prediction using sequential particular environmental condition. satellite imagery was investigated. Correlations between snow line changes in the Humboldt River Basin on the 1973 imagery and predicted runoff on various tributaries having streamflow gages were developed. A preliminary runoff prediction model for the Humboldt River water shed based on these calculations is presented. G RA

N79-14525# North Dakota Water Resources Research Inst.. Fargo. THE INVENTORY AND DISTRIBUTION OF WATER AND ASSOCIATED LAND RESOURCES IN THE GARRISON/ DEVILS LAKE REGION OF ND: AN APPLICATION OF RESOURCE DATA ACQUIRED Completion Report. May 1976 - May 1978 Roland D. Mower May 1978 29 p refs (Contract DI-14-34.-0001-7072) (PB-286091/4: WI-221-047-78: W78-11373; OWRT-A-047-NDAK(1» Avail: NTIS HC A03/MF A01 CSCL 13B This study was designed to inventory and spatially analyze water and land resources in the Garrison/ Devils Lake Region of North Dakota using resource data acquired by ERTS. Preliminary land use studies in Mercer County involved the interpretation of black and white, and color infrared (CIR) aerial photographic imagery (1:24.000). a LANDSAT color composite image (1:250.000). a Mead Dijit Graphics Generator (DGG) image (1:225.000). and a Mead Digital Laser Printer (DLP) image (1:600.000). Subsequent land use/land cover research in the Devils Lake Basin has included the interpretation and analysis of LANDSAT computer compatible tape (CCT) data. The results of this study, in both tabular and graphic format, have been made available to various planning agencies in North Dakota and to all special task force units established by the Devils Lake Committee. GRA

36 18-21, 1977, Proceedings. Falls Church, Va., 07 American Society of Photogrammetry, 1977, p. 65-75. 36 refs.

DATA PROCESSING AND A79-11751 American Society of Photogrammetry, Annual DISTRIBUTION SYSTEMS Meeting, 44th, Washington, D.C., February 26-March 4, 1978, Proceedings. Falls Church, Va., American Society of Photogram- Includes film processing, computer technology, satellite and metry, 1978. 449 p. Members, $5.00; nonmembers, S10.00. aircraft hardware, and imagery. Papers are presented on the cost benefits of photobathymetry, the application of satellite remote sensing to local governments and urban technology projects, and computer stereographies. Con- A79-11384 * ff Michigan resource inventories - Characteristics sideration is given to a color strip recorder for remote sensing data and costs of selected projects using high altitude color infrared and the digital processing of satellite imagery for geothermal imagery. W. R. Enslin and R. Hill-Rowley (Michigan State University, prospecting. Analytical Photogrammetry at a Greek archaeological East Lansing, Mich.). In: Conference on the Economics of Remote site is described along with the Wetlands Analytical Mapping System Sensing Information Systems, 1st, San Jose, Calif., January 19-21, and three-dimensional presentations of terrain data. Reviews are 1977, Proceedings. San Jose, Calif., San Jose presented of the classification of wildland vegetation near Denail, State University, 1977, p. 194-212. 14 refs. Grant No. Alaska on the basir of Landsat digital data and instruments for point NGL-23-004-083. transfer and marking. Procedures for aerotriangulation with the US-1 analytical plotter are described as well as interactive computations A79-11385 * # A comparison of photointerpretive and digital with a digitized stereoplotter. S.C.S. production methods for four key remote sensing-based information products. L. F. Eastwood, Jr., T. R. Hays, R. J. Ballard, and G. G. Crnkovich (Washington University, St. Louis, Mo.). In: Conference A79-12036 Holographic terrain displays. M. M. McDonnell on the Economics of Remote Sensing Information Systems, 1st, San (U.S. Army, Engineer Topographic Laboratories, Fort Belvoir, Va.). Jose, Calif., January 19-21, 1977, Proceedings. In: Three-dimensional imaging; Proceedings of the Seminar, San San Jose, Calif., San Jose State University, 1977, p. 213-228. 10 refs. Diego, Calif., August 25, 26, 1977. Bellingham, Wash., Society of Photo-Optical Instrumentation Engineers, 1977, p. Contract No. NAS5-20680. This paper evaluates the costs of producing four remote 163-173. 22 refs. sensing-based information products: timber volume estimate tables, Holographic terrain displays are discussed with reference to the holographic stereomodel and multiple recording procedures. Various Level II land use/land cover maps, soil maps, and vegetative cover types of holographic stereomodels are described, including: (1) a maps. Two production methods for each product are evaluated, one Fresnel hologram where laser light is used to record and reconstruct is based on digital processing of satellite data, and the other on the image, (2) the Fourier-transform hologram, (3) the focused-image conventional photointerpretation of aircraft data. For each product, a comparison is conducted of the two strategies' production costs hologram, and (4) carrier frequency photography. Procedures are (including data acquisition, 'ground truthing', interpretation, com- outlined for amplitude and phase encoding and color displays. The _pilation, and printing charges) and their performance (as measured basic characteristics of common holographic stereomodels are com- by accuracy and timeliness). Each of the production methods pared along with, selected-parameters of thick_and thin holograms. reviewed has been demonstrated - either operationally or experi- Applications such as holographic training aids in map compilation, mentally - and the costs, timeliness and other performance estimates map interpretation, and land navigation are noted. S.C.S. presented are based on observations made in practice. The results show that for these products, satellite-based production results in A79-13795 Texture-tone analysis for automated land-use significant cost and timeliness improvements at the cost of a loss in mapping. S.-Y. Hsu (New York, State University, Binghampton, accuracy. (Author) N.Y.). Photogrammetric Engineering and Remote Sensing, vol. 44, Nov. 1978, p. 1393-1404. 20 refs. A79-11657 American Society of Photogrammetry, Fall The paper outlines the development of an image-processing Technical Meeting, Little Rock, Ark., October 18-21, 1977, Proceed- technique with black-and-white photos on the basis of a texture ings. Falls Church, Va., American Society of Photogrammetry, 1977. analysis approach which should be applicable to other imaging 505 p. S5.00. systems. Two models of texture analysis are discussed. Model I with The detection of water pollution from color and infrared color 17 spatial-tone measures derived from 3 by 3 data matrix is aerial photography is considered along with techniques for land use determined as very effective in classifying general land use types. change detection using Landsat imagery, a review of the uses of With six additional waveform parameters. Model II is developed Landsat imagery in Mexico, a photogrammetric control survey of a specifically to discriminate objects and scenes of subtle differences. large cooling tower, a simple and rapidly converging orientation and The solution algorithms for Model I and Model II are programmed in calibration method for nontopographic applications, and the applica- FORTRAN language. In addition to the feature extractor and the tion of high altitude photography in archeological survey. Attention classifier, the hit-rate and false alarm rate also depend on the factors is given to a Landsat forest inventory of the Philippines, the next regarding sample size, location, and number of training sets. A decade of satellite remote sensing, the application of remote sensing correct classification rate of 95% for the training set and 85-90% for for oil spill prevention, the compensation of systematic image errors the data property set is obtained with panchromatic images. S.D. using spherical harmonics, an approach for mapping land covers from satellite images, computer software and high speed plotting require- ments for automated orthophoto mapping, the internationalization A79-14151 Image processing - Interactions with photo- of remote sensing technology, automated stereophotogrammetry of grammetry and remote sensing; Proceedings of the International Mars, a new concept in hybrid stereoplotters, future trends in Symposium, Technische Universitat Graz, Graz, Austria, October photogrammetric instrumentation, and the Viking Mars Lander 3-5, 1977. Symposium supported by the Austrian Solar and Space stereo analysis system. G. R. Agency, Federal Ministry for Science and Research, U.S. Army, et al. Edited by F. W. Leberl (Graz, Technische Universitat, Graz, Austria). Graz, Technische Universitat Graz (Geodatisches Institut, Mitteilun- A79-11663 A review of the uses of Landsat imagery in gen, No. 29), 1978. 242 p. S10.00. Mexico. D. Rodriguez-Bejarano and A. Calderon Acosta (Escuela Nacional de Agriculture, Chapingo, Mexico). In: American Society of Papers are presented on such topics as the multitemporal Photogrammetry, Fall Technical Meeting, Little Rock, Ark., October analysis of Landsat data and change detection, multispectral classifi-

37 07 DATA PROCESSING AND DISTRIBUTION SYSTEMS

cation of tidal lands, the cadastral localizing of crop inventories March 15, 16, 1978, Proceedings. Rome, Ras- obtained by remote sensing, information extraction from digital segna Internazionale Elettronica Nucleare ed Aerospaziale, 1978, p. images of the earth and planets, and land-use mapping techniques. 283-290. 9 refs. Consideration is also given to multitemporal analysis of Landsatdata A correlative method based on multivariate analysis is applied to for the inventory of poplar groves in Northern Italy, digital detection data of the corresponding series of Landsat pixels, simulated by an of linear features in satellite imagery, and interactive digital image Exotech/mod. 100 radiometer. Sea surface optical reflectances processing of Landsat data for geological analysis. B.J. concerning solid transport are considered. The aim of the work is devoted to state some functional relationships among several objects in different physical situations in order to achieve coherent classifica- A79-14168 * # Computer-aided analysis of Landsat data for tion parameters. (Author) surveying Texas coastal zone environments. S. J. Kristof and R. A. Weismiller (Purdue University, West Lafayette, Ind.). In: Image processing - Interactions with photogrammetry and remote sensing; A79-18324* Mapping ocean tides with satellites - A com- Proceedings of the International Symposium, Graz, Austria, October puter simulation. I. J. Won, J. T. Kuo, and R. C. Jachens 3-5, 1977. Graz, Technische Universitat Graz, (Lamont-Doherty Geological Observatory, Palisades, N.Y.). Journal 1978, p. 107-115. 7 refs. Contracts No. NAS9-14016; No. NAS9- of Geophysical Research, vol. 83, Dec. 10, 1978, p. 5947-5960. 7 14970. refs. NSF Grant No. DES-75-16978; Contract No. NAS6-2455. The feasibility of using machine-aided processing of Landsat As a preliminary study for the future worldwide direct mapping data to inventory environmental units was studied by analyzing of the open ocean tide with satellites equipped with precision geometrically corrected and spatially registered Landsat data col- altimeters we conducted a simulated study using sets of artificially lected over the Matagorda Bay area of the Texas coastal estuarine generated altimeter data constructed from a realistic geoid and four system. A clustering algorithm (nonsupervised processor) was used to pairs of major tides in the northeastern Pacific Ocean. Recovery of divide the data into groups of sample points of similar spectral the original geoid and eight tidal maps is accomplished by a characteristics, and correlation of spectral classes with reference data space-time, least squares harmonic analysis scheme. The resultant on a point-to-point basis snowed the coastal features exhibit unique maps appear fairly satisfactory even when random noises up to + or - spectral variations. Use of a maximum likelihood algorithm permit- 100 cm are added to the altimeter data of sufficient space-time ted discrimination of 13 terrestrial and aquatic environments. M.L. density. The method also produces a refined geoid which is rigorously corrected for the dynamic tides. (Author) A79-14181 # Interdisciplinary application of the 'DIBIAS' digital image processing system to geological and maritime problems. A79-18868 A conspectus of computer aided and air-photo K. A. Ulbricht (Deutsche Forschungs- und Versuchsanstalt fur Luft- interpretation techniques for the study of Landsat imagery- A. C. und Raumfahrt, Institut fiir Nachrichtentechnik, Oberpfaffenhofen, Armstrong (Ministry of Agriculture, Fisheries and Food, Trumping- West Germany), P. Hoppe (Bundesanstalt fiirGeowissenschaften und ton, Cambs., England) and P. Brimblecombe (East Anglia, University, Rohstoffe, Hanover, West Germany), and D. Schmidt (Deutsches Norwich, England). British Interplanetary Society, Journal (Space hydrographisches Institut, Hamburg, West Germany). In: Image Technology), vol. 32, Jan. 1979, p. 3-8. 30 refs. processing - Interactions with photogrammetry and remote sensing; A basic dichotomy has emerged between those users who work Proceedings of the International Symposium, Graz, Austria, October with digital data such as that obtained from the Landsat CCTs and 3-5, 1977. Graz, Technische Universitat Graz, those who rely on the extension of conventional air-photointerpreta- 1978, p. 215-218. 7 refs. tion techniques. Differences between the two approaches are identi- The digital image processing system DIBIAS has been developed fied in terms of technological involvement, financial input, mathe- for the evaluation of multispectral images, including those from matical complexity, and data quality. The characteristics of the two Landsat. This paper discusses the application of the DIBIAS system techniques are evaluated against three areas of implementation: the to several examples of geological and maritime imagery of such areas 'one-off investigation; global monitoring; and temporal monitoring. as: (1) deserts in the Sudan and mountainous regions in Morocco, (2) It is concluded that both techniques have merit and that progress lies Lake Constance and the Rhine estuary, and (3) the Baltic Sea. B.J. in their integrated use. B.J. A79-14197 A distortion-free map projection for analysis of satellite imagery. J. L. Junkins and J. D. Turner (Virginia Polytechnic Institute and State University, Blacksburg; Va.). Journal of the Astronautical Sciences, vol. 26, July-Sept. 1978, p. 211-234. A79-18951 A developmental program of satellite data col- Research supported by the U.S. Geological Survey; Grant No. lection. G. Forcina, K. Manning, and K. Singh (COMSAT General DAAG53-76-C-0067. Corp., Washington, D.C.). COMSAT Technical Review, vol. 8, Fall A formulated dynamic map projection is described and tested 1978, p. 421-454. numerically. The satellite's subpoint trace (groundtrack) on the The results of a developmental data collection system designed, reference ellipsoid is the invariant line; in contrast, the invariant line implemented, and operated by COMSAT General are discussed. The in static map projections must be an equator, a meridian, or a objective of this experiment, which was initiated on October 28, parallel. A local sensing time is associated with each plot point in the 1977. and completed on June 19, 1978, was to demonstrate that this satellite sensors' field of view. The formulation is valid for any unique service using low bit rates and low-cost terminals can be continuous satellite orbit or orbit segment. Algorithms for projection incorporated into existing commercial communications satellites of dense sets of remotely sensed data are efficient since the solution operating at C-band (4/6 GHz). The system consists of 13 specially is analytical (except for some integrals). It is suggested that the designed data collection platforms (DCPs) transmitting environmen- continuous normal view provided by the space oblique Mercator tal data to Telesat's Anik I satellite, which relays the data to projection has immediate applicability. M.L. COMSAT General's Southbury earth station. Two platforms were located in Canada and 11 in the U.S. at data collection sites instru- mented and operated by the United States Geological Survey (USGS). The U.S. DCP data received at Southbury are processed and A79-16775 # Identification of descriptive parameters in transmitted via telephone line both upon request and automatically MSS system by multivariate analysis and spline fitting. L. Albero- to designated USGS offices. Telesat also participated in the program tanza (CNR, Laboratorio per lo Studio della Dinamica delle Grand! with an earth station located close to Ottawa and capable of per- Masse, Venice, Italy) and E. Martino (CNR, Istituto per le Applica- forming basically the same functions as the Southbury earth station. zioni del Calcolo, Rome, Italy). In: Space in the service of man; During the eight months of operation, the system performed well, International Scientific Conference on Space, 18th, Rome, Italy, and all the program objectives were met. (Author)

38 07 DATA PROCESSING AND DISTRIBUTION SYSTEMS

N79-10812# Institute de Pesquisas Espaciais. Sao Jose dos R. D. Juday, Principal Investigator, F. Johnson, R. A. Abotteen. Campos (Brazil). and M. D. Pore Aug. 1978 42 p refs Original contains FEATURE SELECTION AND SAMPLE CLASSIFICATION color imagery. Original photography may be purchased from ALGORITHMS OF INPE the EROS Data Center. Sioux Falls. S. D. 57198 EREP R. Kumar Sep. 1977 13 p refs (Contract NAS9-15200) (INPE- 1120-PE/088) Avail: NTIS HC A02/MF A01 (E79-10033. NASA-CR-151837; LEC-11867; JSC-J4471) In the remote sensing of earth resources, the problem of Avail: NTIS HC A03/MF A01 CSCL 20F feature selection is discussed. An algorithm for feature selection based on B-distance was developed. The algorithm is used for N79-13442*jjl International Business Machines Corp.. Gaithers- LANDSAT data, aircraft multispectral scanner (MSS) data, and burg, Md. SKYLAB MSS data. A branch and bound algorithm to select SAR/LANDSAT IMAGE REGISTRATION STUDY the best subset of n features from a set of N features without Final Report. Apr. 1977 - Sep. 1978 exhaustive search is developed. A sample classifier'based on Stephen W. Murphrey, Principal Investigator Sep. 1978 164 p B-distance was developed. B-distance is computed between a refs ERTS test field and each of the training classes and classified into the (Contract NAS6-2827) class for which the B-distance is minimum. S.E.S. (E79-10035; NASA-CR-156847) Avail: NTIS HC A08/MF A01 CSCL 058 N79-12533*# Institute de Pesquisas Espaciais. Sao Jose dos The author has identified ths following significant results. Campos (Brazil). Temporal registration of synthetic aperture radar data with STATISTICAL SEPARABILITY AND CLASSIFICATION OF LANDSAT-MSS data is both feasible (from a technical stand- LAND USE CLASSES USING IMAGE 100 point) and useful (from an information-content viewpoint). The Nelson deJesusParada. Principal Investigator. R. Kumar, and M. greatest difficulty in registering aircraft SAR data to corrected Niero Sep. 1977 17 p refs Sponsored by NASA Submitted LANDSAT-MSS data is control-point location. The differences in for publication ERTS SAR and MSS data impact the selection of features that will (E79-10022; NASA-CR-157911) Avail: NTIS serve as a good control points. The SAR and MSS data are HC A02/MF A01 CSCL 05B unsuitable for automatic computer correlation of digital control- The author has identified the following significant results. point data. The gray-level data can not be compared by the The statistical separability of land use classes in the subsets of computer because of the different response characteristics of one to four spectral channels was investigated. Using ground the MSS and SAR images. observations and aerial photography, the MSS data of LANDSAT were analyzed with the Image-100. In the subsets of one to three spectral channels, channel 4, channel 4 & 7. and channels N79-13481V National Aeronautics and Space Administration. 4. 5. & 7 were found to be the best choices (ch.4 - 0.5 to Goddard Space Flight Center. Greenbelt. Md. 0.6 microns, ch. 5 - 0.6 to 0.7 microns, ch. 6 - 0.7 to 0.8 LANDSAT 3 WORLD STANDARD CATALOG. 1-31 AUGUST microns, and ch. 7 - 0.8 to 1.1 microns). For the single cell 197S option of the I mage-100, the errors of omission varied from 5% Aug. 1978 270 p for the industrial class to 46% for the institutional class. The (NASA-TM-79492; GSFC/LWC3-78/08: NTISUB/D/277-008) errors of commission varied from 11% for the commercial class Avail: NTIS HC A12/MF A01 CSCL 058 to 39% for the industrial class. On the whole, the sample classifier Imagery acquired by LANDSAT 3 which was processed and gave considerably more accurate results compared to the single input to the data files during the referenced month is listed. cell or multicell option. Data, such as data acquired, cloud cover, and image quality are given for each scene. The microfilm roll and frame on which the scene maybe found is also given. G.G. N79-13421 Stanford Univ.. Calif. DEMON AND IMPLEMENTATION OF DISTORTION-FREE N79-13482*# National Aeronautics and Space Administration. COMPRESSION TECHNIQUES FOR LANDSAT DATA AND Goddard Space Flight Center. Greenbelt. Md. TELEVISION IMAGES Ph.D. Thnto LANDSAT 2 WORLD STANDARD CATALOG. 1-31 AUGUST Patrice Jean-Marie Capitant deVillebonne 1978 79 p 1978 Avail: Univ. Microfilms Order No. 782284 Aug. 1978 173 p An original model of the digital image processing system is (NASA-TM-79491; GSFC/LWC2-78/08; NTISUB/D/276-008) built with emphasis on the possible processing applications. Avail: NTIS HC A08/MF A01 CSCL 058 Distortion-free compression techniques and compression tech- Imagery acquired by LANDSAT 2 which was processed and niques with distortion are positioned within the model. While input to the data files during the referenced month is listed. usually compression is measured by a compression ratio, and Data, such as data acquired, cloud cover, and image quality are application oriented study would measure it in terms of distortion. given for each scene. The microfilm roll and frame on which With this in mind, a review of the different compression techniques the scene may be found is also given. G.G. is made. Methods presently used to test the quality of the reconstructed images are also reviewed. Based on this analysis and using an original model for digital images, a fast distortion N79-14474*fjl National Aeronautics and Space Administration. free compression technique is designed and the parameters are Lyndon B. Johnson Space Center. Houston. Tex. optimized for Landsat data and television images. Dissert. Abstr. DATA PROCESSING SYSTEMS DESIGN SESSION: DATA BASE DESIGN CONSIDERATIONS L Westberry. Principal Investigator In its Briefing Mater, for N79-13429*ri> Institute de PesquisdS Espaciais. Sao Jose dos Tech. Presentations. Vol. A: The LACIE Symp. Oct. 1978 Campos (Brazil). p 193-204 EREP PROJECT RONDONIA [NOTAS PREVIAS DO PROJETO Avail: NTIS HCA11/MFA01 CSCL 02C RONDONIA] Nelson deJesusParada. Principal Investigator and Sergio Monthez- uma Santoianni Guerra Aug. 1978 12 p refs In PORTUGUESE; ENGLISH summary Sponsored by NASA ERTS N79-14476*# National Aeronautics and Space Administration. (E79-10012; NASA-CR-157901; INPE-1329-PE/159) Ayail: Lyndon B. Johnson Space Center, Houston, Tex. NTIS HC A02/MF A01 CSCL 05B DATA PROCESSING SYSTEMS DESIGN SESSION: MAN-MACHINE INTERFACE IN LACIE ERIPS N79-1344O*jjl Lockheed Electronics Co., Houston. Tex. Systems B. Duprey, Principal Investigator In its Briefing Mater, for Tech. and Services Div. Presentation's, Vol. A: The LACIE Symp. Oct. 1978 p 205-214 GENERATION OF UNIFORM CHROMATICITY SCALE EREP IMAGERY FROM LANDSAT DATA Avail: NTIS HCA11/MFA01 CSCL 02C

39 07 DATA PROCESSING AND DISTRIBUTION SYSTEMS

N79-14476*# National Aeronautics and Space Administration. (NASA-TM-79968: GSFC/LWC3-78/10: NTISUB/D/277-010) Lyndon B. Johnson Space Center. Houston. Tex. Avail: NTIS HC A08/MF A01 CSCL 05B DATA PROCESSING SYSTEMS DESIGN SESSION: VERY Imagery acquired by LANDSAT 3 which was processed and HIGH SPEED PROCESSING AS RELATED TO PIXEL- input to the data files during the referenced month is listed. DEPENDENT TASKS Data, such as data acquired, cloud cover, and image quality are J. Lyon. Principal Investigator In its Briefing Mater, for Tech. given for each scene. The microfilm roll and frame on which Presentations. Vol. A: The LACIE Symp. Oct. 1978 p 215-214 the scene may be found is also given. G.G. EREP Avail: NTIS HCA11/MFA01 CSCL 02C N79 15381 *# National Aeronautics and Space Administration. N79-14478*# National Aeronautics and Space Administration. Goddard Space Flight Center. Greenbelt. Md. Lyndon B. Johnson Space Center. Houston. Tex. LANDSAT 2 WORLD STANDARD CATALOG, 1-31 OCTOBER DATA PROCESSING SYSTEMS DESIGN SESSION: SOME 1978 COST PERFORMANCE CHARACTERISTICS OF SEVERAL Oct. 1978 91 p DATA SYSTEM CONFIGURATIONS FOR PROCESSING (NASA-TM-79900: NTISUB/D/276-010; GSFC/LWC2-78/10) REMOTELY SENSED DATA Avail: NTIS HC A05/MF A01 CSCL 05B P. Gregor. Principal Investigator (MITRE Corp.) In its Briefing The World Standard Catalog lists imagery acquired by Mater, for Tech. Presentations. Vol. A: The LACIE Symp. Oct. LANDSAT 2 which was processed and input to th« data files 1978 p 235-248 EREP during the referenced period. Information such as cloud cover and image quality is given for each scene. The microfilms roll Avail: NTIS HCA11/MFA01 CSCL 02C and frame on which the scene may be found is also given. Author N79-14479*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. DATA PROCESSING SYSTEMS DESIGN SESSION: N79-15382*# National Aeronautics and Space Administration. EQUIPMENT SELECTION CRITERIA FOR R AND D IMAGE Goddard Space Flight Center. Greenbelt. Md. PROCESSING LANDSAT 3 WORLD STANDARD CATALOG. 1-30 NO- E. Poole, Principal Investigator In its Briefing Mater, for Tech. VEMBER 1978 Presentations. Vol. A: The LACIE Symp. Oct. 1978 p 249-259 Nov. 1978 247 p EREP (NASA-TM-80018: NTISUB/D/277-011: GSFC/LWC3-78/11) Avail: NTIS HCA11/MFA01 CSCL 02C Avail: NTIS HCA11/MFA01 CSCL 05B The World Standard Catalog lists imagery acquired by N79-145O2*# National Aeronautics and Space Administration. LANDSAT 3 which was processed and input to the data files Goddard Space Flight Center. Greenbelt. Md. during the referenced period. Information such as cloud cover LANDSAT 3 WORLD STANDARD CATALOG. 1-30 SEPTEM- and image quality is given for each scene. The microfilm roll BER 1978 and frame on which the scene may be found is also given. 30 Sep. 1978 175 p Author (NASA-TM-79887: GSFC/LWC/3-78/09: NTISUB/D/277-009) Avail: NTIS HC A08/MF A01 CSCL N79-15383*^ National Aeronautics and Space Administration. 05B Goddard Space Flight Center. Greenbelt. Md. Imagery acquired by LANDSAT 3 which was processed and LANDSAT 2 WORLD STANDARD CATALOG. 1-30 NOVEM- input to the data files during the referenced month is listed. BER 1978 Data, such as data acquired, cloud cover, and image quality are Nov. 1978 61 p given for each scene. The microfilm roll and frame on which (NASA-TM-79899; NTISUB/D/276-01 1: GSFC/LWC2-78/1 1) the scene may be found is also given. G.G. Avail: NTIS HC A04/MF A01 CSCL 05B The World Standard Catalog lists imagery acquired by LANDSAT 2 which was processed and input to the data files N79-145O3*# National Aeronautics and Space Administration. during the referenced period. Information such as cloud cover Goddard Space Flight Center. Greenbelt. Md. and image quality is given for each scene. The microfilm roll LANDSAT 2 WORLD STANDARD CATALOG. 1 30 SEPTEM- and frame on which the scene may be found is also given. BER 1978 Author 30 Sep. 1978 92 p (NASA-TM-79886: GSFC/LWC/2-78/09: NTISUB/D/276-009) Avail: NTIS HC A05/MF A01 CSCL 05B Imagery acquired by LANDSAT 2 which was processed and input to the data files during the referenced month is listed. Data, such as data acquired, cloud cover, and image quality are given for each scene. The microfilm roll and frame on which the scene may be found is also given. G.G.

N79-16355*# Lockheed Electronics Co.. Houston. Tex. Aero- space Systems Div. ANALYSIS OF PRINCIPAL COMPONENT TRANSFORMED LANDSAT DATA R. A. Abotteen. Principal Investigator Aug. 1976 25 p refs Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 EREP (Contract NAS9-12200) (E79-10076: NASA-CR-151861: LEC-9003) Avail: NTIS HC A02/MF A01 CSCL 02C N79-15372*# National Aeronautics and Space Administration. Goddard Space Flight Center. Greenbelt. Md. LANDSAT WORLD STANDARD CATALOG. LANDSAT 3 Monthly Report. 1 - 31 Oct. 1978 Oct. 1978 167 p

40 are in reasonable agreement with surface measurements, provided 08 that the altimeter data are properly edited. The internal consistency of estimated wave heights for the North Atlantic storm, a standard INSTRUMENTATION AND SENSORS deviation of 0.6 m or less, and the good agreement with surface truth Includes data acquisition and camera systems and remote lend credence to the method. A statistical analysis of the pulse slope variation gives estimated values of significant wave height within + or sensors. - 1 m of the true values 75% of the time for spatial averaging over 70 km. (Author)

A79-10601 Subsurface radar. M. I. Finkel'shtein. (Radio- A79-12088 Role of the USAF AN/AAD-5 Infrared Recon- tekhnlka, vol. 32, Nov. 1977, p. 6-16.) Telecommunications and naissance Set in pollution detection and fuel conservation. R. Radio Engineering, Part 2 - Radio Engineering, vol. 32, Nov. 1977, p. Muenchow (USAF, Wright-Patterson AFB, Ohio). In: Modern utiliza- 18-26. 43 refs. Translation. tion of infrared technology III: Civilian and military; Proceedings of Various aspects of subsurface radar probing are considered with the Third Seminar, San Diego, Calif., August 25, 26, 1977. reference to studies of natural resources. The frequency properties of Bellingham, Wash., Society of Photo-Optical reflected subsurface signals are evaluated noting a single-layer Instrumentation Engineers, 1977, p. 181, 182. homogeneous model. Probing depth is discussed and it is shown that Two US Air Force-owned engineering development models of probing signals require a range of low frequencies with a large the AN/AAD-5 Infrared Reconnaissance Set were flight tested at bandwidth. Studies in the field of subsurface radar are outlined Wright-Patterson Air Force Base during 1971. After a successful including probing fresh-water and low-salt-content ice, measurements flight test, the next generation of this improved infrared sensor was of ice thickness, limestone probing, frozen rock probing, and studies built to undergo extensive qualification (bench) testing. The Environ- of frozen ground and marsh. S.C.S. mental Protection Agency requested the use of the original models and in mid-1976 took possession of the sensors and peculiar support equipment. The equipment was slightly modified and adapted to a A79-11272 Synthetic aperture radar systems for remote civilian aircraft, in which it is being used successfully to obtain data sensing from space. G. DieteHe and D. Maccoll (ESA, Paris, France). much needed by the Environmental Protection Agency. (Author) International Astronautical Federation, International Astronautical Congress, 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-149. 16 p. The paper discusses the European needs for a synthetic-aperture A79-13834 ff The role of 'Smart' sensors in earth resources radar (SAP) system for use in earth-observation satellite missions; in remote sensing programs. L. P. Murphy (U.S. Army, Engineer particular, land application and coastal monitoring. The European Topographic Laboratories, Fort Belvoir, Va.) and J. W. Jarman (U.S. mission requirements, where the prime driver is all-weather capability Army, Office of Chief of Engineers, Washington, D.C.). American with high spatial and radar resolution, are highlighted, and the latest Institute of Aeronautics and Astronautics and NASA, Conference on results of studies on how to implement these requirements in a space 'Smart' Sensors, Hampton, Va., Nov. 14-16, 1978, AIAA Paper system carried out under ESA contracts are presented. Space-system 78-1717.6 p. 9 refs. constraints such as launch vehicle performance and satellite class and In 1977, with the assistance of NASA, the Corps of Engineers their impact on sensor performance are discussed. The problem of has conducted two demonstrations of applications of the use of image quality is addressed, and an evaluation of related technical and Landsat data and processing technology on the NASA Applications technological problems is presented. A brief outline is given of ESA Systems Verification and Transfer system. The demonstrations activities in initiating SAR instrument development for future showed that the automated extraction of land cover information European earth-observation missions. (Author) from Landsat data is useful for Corps drainage basin and special project studies. Current and potential Landsat data uses are A79-11748 Estimation of soil moisture and components considered along with possible onboard processing procedures, taking by measuring the degree of spectral polarization with a remote into account water mapping, river flooding/coastal studies, snow sensing simulator. H. Genda and H. Okayama (Chiba University, shed runoff studies, and investigations regarding the use of Landsat data for planning the installation of large government facilities and Chiba, Japan). Applied Optics, vol. 17, Nov. 1, 1978, p. 3439-3443. for geological'structure studies associated with planning the location 9 refs. of large dams. The suggested forms of onboard processing are related A remote sensing simulator is used to measure the degree of to enhancement processing, onboard data calibration processing, spectral polarization of scattered light from CuS04, CuCI2, Fe203, selectable band transmission, data compaction, river/coastline track- SiC, S, NiCI2, and CoCI2 as models of soil. Comparisons are made to ing, cloud detection, and multiresolution data. G.R. measurements of volcanic ash and natural soil. Results are presented for the degree of spectral polarization of SiC, the degree of spectral polarization of volcanic ash from the crater on Mt. Usu and the Kinomi housing area, the degree of spectral polarization and A79-14155 a Digital image processing experience at Han- absorbance of Fe203, and the degree of spectral polarization of red nover Institute for Photogrammetry /IPI/. H. P. Bahr (Hannover, soil in several degrees of moisture content. It is found that Fe Technische Universitat, Hanover, West Germany). In: Image process- appears in natural soil and that Si appears in volcanic ash. S.C.S. ing - Interactions with photogrammetry and remote sensing; Proceed- ings of the International Symposium, Graz, Austria, October 3-5, A79-11767 * ft Measurement of ocean wave heights using the 1977. Graz,Technische Universitat Graz, 1978, Geos 3 altimeter. C. L. Rufenach (IMOAA, Wave Propagation p. 19-25. 21 refs. Laboratory, Boulder, Colo.) and W. R. Alpers (Hamburg, Universitat; The paper describes the IPI image processing system for image Max-Planck-lnstitut fur Meteorologie, Hamburg, West Germany). enhancement and geometrical image processing: it consists of a large Journal of Geophysical Research, vol. 83, Oct. 20, 1978, p. CDC-Cyber 73/76 computer, an Optronics-P 1700 digital read/write 5011-5018. 13 refs. Grant No. NATO-SRG/AI.10; Contract No. image plotter, and a modular software package. Emphasis is placed NOAA-03-022-35163; NASA Contract No. 855-33-05-09-53. on the software package and the geometrical processing technique, Radar altimeter signals transmitted from the low-orbiting and consideration is given to applications of the system to images satellite Geos 3 were analyzed for two selected orbits over high seas from: (1) a metric camera; (2) the Hasselblad camera; (3) a associated with hurricane 'Caroline' in the Gulf of Mexico and a multispectral scanner; and (4) Landsat (i.e., water pollution data and North Atlantic storm. The measured values of significant wave height water-line-difference data). B.J.

41 08 INSTRUMENTATION AND SENSORS

A79-14178 ff Evaluation of multispectral scanner data by Orleans, La., November 6-11, 1977, Proceedings. hybrid methods. W. Schneider, R. Polak, and P. Schattschneider Washington, D.C., American Chemical Society, 1978, p. 561-565. 6 (SPACETEC Datengewinnungs GmbH und Co., Vienna, Austria). In: refs. Image processing - Interactions with photogrammetry and remote A light twin-engine aircraft has been instrumented with a carbon sensing; Proceedings of the International Symposium, Graz, Austria, monoxide remote gas sensor system and test flown over the Southern October 3-5, 1977. Graz, Technische Universitat Lake Michigan basin during August, 1976. The remote sensor is Graz, 1978, p. 185-188. 5 refs. based on the gas filter correlation technique. The radiance levels The paper describes hybrid automatic classification scheme for from the sensor along with the data on the surface temperature, air processing data from an analog multispectral scanner. The procedure temperature, dewpoint, and altitude were digitized and recorded on involves visual inspection of film recordings of selected channels; seven-track magnetic tape. Air samples were collected at various electronic analog processing of the scanner data for the visually altitudes over selected sites for later analysis of carbon monoxide selected areas; sophisticated and flexible processing of the small concentration and comparison with the inferred concentration from quantity of data obtained after the analog averaging operations. The the remote sensor. The values of carbon monoxide obtained from the procedural steps following visual selection • extraction of spectral air samples and the values inferred from the remote sensor for data and textural descriptors; correction of the effects of varying scan collected over water are in good agreement. (Author) angle, sun angle, and atmospheric conditions; and digital classifica- tion of each sample area by subdividing the descriptor space by hyperplanes • are described. (Author) A79-15104 Marine monitoring of natural oil slicks and man made wastes utilizing an airborne imaging Fraunhofer line discriminator. R. D. Watson, M. E. Henry, A. F. Theisen, T. J. A79-15048 Paniculate pollutants - Real-time tracking and Donovan (U.S. Geological Survey, Flagstaff, Ariz.), and W. R. monitoring of their cloud nucleation characteristics. V. K. Saxena Hemphill (U.S. Geological Survey, Reston, Va.). In: Joint Confer- (Denver, University, Denver, Colo.). In: Joint Conference on Sensing ence on Sensing of Environmental Pollutants, 4th, New Orleans, La., of Environmental Pollutants, 4th, New Orleans, La., November 6-11, November 6-11, 1977, Proceedings. Washington, 1977, Proceedings. Washington, D.C., American D.C., American Chemical Society, 1978, p. 667-671. 19 refs. Chemical Society, 1978, p. 152-155. 10 refs. NSF Grants No. A described Fraunhofer line discriminator (FLD) operating in an ENV-76-14221; No. ENIV-72-03399. imaging mode was used to obtain accurate measurements of the areal This paper describes a cloud condensation nuclei (CCN) spec- extent of oil slicks arising from seeps in Santa Barbara Channel, trometer that is capable of providing real-time measurement and California. The FLD data are found to correlate well with data display of the critical supersaturation spectrum of CCN within as obtained by other techniques. Advantages of FLD include high short a time interval as 15 sec. It is shown how real-time monitoring sensitivity and real-time display of luminescence gray-level maps that of the CCN spectrum aids in characterizing and mapping power-plant include up to 94 gray levels. The relation between oil film thickness and urban plumes, determining the spatial visibility of CCN upwind and luminescence for oils with specific gravities less than or greater and downwind of pollution sources, investigating the growth and than 0.875 is examined. Also considered is the use of FLD to formation of CCN in a plume, and providing information required measure other pollutants including lignin sulfonate, phosphate for evaluating the effect of paniculate pollutants on cloud micro- processing effluents, sewage effluents, feed lot effluent, sludge, and structure. Airborne urban-plume measurements performed for the algae blooms. M.L. METROMEX study in the St. Louis area are discussed, and it is noted that CCN may be used as a natural tracer of air-mass history. F.G.M. A79-15464 Active microwave sensing of the earth's sur- face - A mini review. R. K. Moore (Kansas, University, Lawrence, Kan.). IEEE Transactions on Antennas and Propagation, vol. AP-26, A79-15083 Evaluation of instruments and measurement Nov. 1978, p. 843-849. 67 refs. strategies for airborne remote sensing of regional air pollution The paper discusses the nature of radar backscatter, noting measurement requirements. E. L. Keitz and E. J. Friedman (Mitre theoretical models including the physical-optics model based on the Corp., McLean, Va.). In: Joint Conference on Sensing of Environ- Kirchhoff-Huygens principle, the geometric-optics model,- and the mental Pollutants, 4th, New Orleans, La., November 6-11, 1977, Rayleigh-Rice (small-perturbation) approach. Consideration is given Proceedings. Washington, D.C., American Chemi- to radar return from the ocean with reference to Skylab measure- cal Society, 1978, p. 460-463. ments, tank experiments, and real-aperture and synthetic-aperture This paper addresses the application of airborne remote sensors systems. Observations of radar backscatter over land are described in of air pollution to the regional problem. The performance of such terms of studying moisture content, mapping vegetation communi- instruments is contrasted with that expected from both ground-based ties, geological reconnaissance mapping, and mineral exploration. monitors and airborne contact sensors. The study includes evaluation Sensor systems are outlined such as the sidelooking airborne radar, of measurement strategies for the long-range transport of both an urban oxidant plume and a fossil-fueled power plant sulfur dioxide/ scatterometer, radar altimeters, and spectrometers. S.C.S. sulfate plume. Aspects of the problem which are dealt with include: measurement requirements, the current status of specific remote A79-15744 * 5 A system concept for wide swath constant sensors and a five year outlook for selected techniques. It is incident angle coverage. J. P. Claassen (Texas A & M University, concluded that several of the remote sensors should be capable of College Station, Tex.) and J. Eckerman (NASA, Goddard Space being used in a regional monitoring system within the next five years Flight Center, Greenbelt, Md.). In: Synthetic Aperture Radar if development proceeds as expected. These include an infrared lidar, Technology Conference, Las Cruces, N. Mex., March 8-1C, 1978, a gas filter correlator, and a laser absorption spectrometer. Evalua- Proceedings. Las Cruces, N. Mex., New Mexico tion of the measurement strategies shows that although an airborne State University, 1978, p. VI-4-1 to VI-4-19. 7 refs. remote-sensing system cannot provide significantly more required The multiple beam SAR system concept is developed and shown data than an airborne contact system, it does so with fewer aircraft, to readily overcome the radar ambiguity constraints associated with fewer instruments, and in a much less complex manner. (Author) orbital systems, thus permitting imagery over swaths much wider than 100 km. The antenna technique permits imagery at nearly constant incidence angles. When frequency scanning is used, the A79-15090 * Aircraft instrumentation system for the re- center angle may be programmed. The redundant use of the antenna mote sensing of carbon monoxide. S. M. Beck, W. D. Hesketh, and R. aperture during reception results in lower transmitted power and in T. Sherrill (NASA, Langley Research Center, Hampton, Va.). In: shorter antenna lengths in comparison with conventional designs. Joint Conference on Sensing of Environmental Pollutants, 4th, New B.J.

42 08 INSTRUMENTATION AND SENSORS

A79-18575 Mini-format remote sensing for civil engineer- N79-11456JJ/ European Space Agency. Paris (France). ing. 0. W. Mintzer and D. Spragg (Ohio State University, Columbus, ANALYSIS OF A REMOTE SENSING PAYLOAD FOR THE Ohio). (American Society of Civil Engineers, Annual Convention, SPACELAB D3 MISSION (PRELIMINARY PHASE A) Exposition and Continuing Education Program, San Francisco, Calif., Final Report Oct. 17-21, 1977.) ASCE, Transportation Engineering Journal, vol. F. Schlude Jun. 1978 129 p refs Transl. into ENGLISH of 104, Nov. 1978, p. 847-858. 19 refs. 'Untersuch. zu einer Fernerkundungsnutzlast fuer die Spacelab- Mission D3'. DFVLR. Oberpfaffenhofen. West Ger. Report The miniformat remote sensing system is described and some DLR-IB-551-77/8. Dec. 1977 examples of successful applications are presented. The system is (ESA-TT-482: DLR-IB-551-77/8) Avail: NTIS intended to collect on-site data by exposures of both color and color HC A07/MF A01 infrared films for site condition identification and interpretation A remote sensing payload for atmospheric physics and earth using two hand-held Nikon 35-mm cameras mounted with a sensing for the Spacelab 03 mission is proposed. Topics include mechanism to trip the cameras' shutters simultaneously. It is shown scientific and technological objectives, experiment selection, that the miniformat system is a practical means to identify and experimental hardware, and mission-dependent equipment. The analyze vegetation vigor, disease or stress; drainage problems; slope following equipment is discussed: metric camera focal length stability; landslide susceptible terrain; reclaimed land progress; 30 or 60 cm; mechanical scanner, 7 channels, 17 deg aperture locations of abandoned mines and field tiles; pavement deterioration; angle: push-broom scanner, 4 channels, 4.3 deg aperture angle: water quality; and wetland and natural resource classification. S.D. microwave experiment of the first Spacelab payload. 9.6 GHz; and SAR facility, 2 frequencies. 2 polarizations, fixed angle of depression. It is concluded that the mechanical accomodation can be achieved without any problems, the electrical primary A79-18869 The Seasat-A satellite radar altimeter space- powers can be supplied, the thermal balance sheet problems borne microcomputer. J. A. Perschy (John Hopkins University, can be regarded as soluble, and the data handling, both aboard Laurel, Md.). British Interplanetary Society, Journal (Space Tech- Spacelab and in the transition section, can be solved only by a nology), vol. 32, Jan. 1979, p. 9-14. reduction of the operating periods. ESA A radar altimeter scheduled for flight in July 1978 on board the Seasat-A oceanographic satellite will be microcomputer controlled. The microcomputer performs return signal acquisition, range track- ing, receiver gain control, calibration, ocean wave height estimation, N79-11458# European Space Agency, Paris (France). telemetry formatting, and command decoding. This paper gives a COVERAGE BEHAVIOR OF ERDSAT FOR SOME SELECTED brief description of the microcomputer functional performance, AREAS OF THE EARTH'S SURFACE E. F Jochim Aug. 1978 76 p refs Transl. into ENGLISH of hardware and software. The microcomputer utilizes the 8080 micro- 'Ueberdeckungsverhalten des ERDSAT fuer einige ausgewaehlte processor with 4096 bytes of program memory and 2048 bytes of Gebiete auf der Erdoberflaeche'. DFVLR, Oberpfaffenhofen. West scratch pad memory. It performs tasks on three interrupt levels. Ger. Report DLR-IB 5B2-78/1 Mar 1978 Original report in Eighty-five per cent of its maximum computing capability is utilized. GERMAN previously announced as N78-29548 (Author) (ESA-TT-494; DLR-IB-552-78/1) Avail: NTIS HC A05/MF A01 The coverage behavior of a proposed European remote sensing N79-1O*97*# National Academy of Sciences - National Research satellite was investigated for each of its onboard sensors for Council. Washington, D. C. Committee on Remote Sensing Europe, the Amazon basin, Indonesia, and Brazil. The proposed Programs for Earth Resource Surveys. satellite will carry a multispectral scanner and a microwave sensor. MICROWAVE REMOTE SENSING FROM SPACE FOR It is concluded that the satellite orbit can be optimal only for EARTH RESOURCE SURVEYS one sensor for one region on the earth. ESA 1977 141 p refs (Contract NASw-3043) (NASA-CR-157891) Avail: NTIS HC A07/MF A01 CSCL 05B N79-11639# Naval Research Lab.. Washington, D. C. The concepts of radar remote sensing and microwave GULF STREAM GROUND TRUTH PROJECT. RESULTS OF radiometry are discussed and their utility in earth resource sensing NRL AIRBORNE SENSORS Final Report is examined. The direct relationship between the character of C. R McClain. D T. Chen, and D L. Hammond Jun. 1978 the remotely sensed data and the level of decision making for 101 p which the data are appropriate is considered. Applications of (AD-A057420; NRL-MR-3779) Avail: NTIS HC A06/MF A01 active and a passive microwave sensing covered include hydrology, CSCL 08/3 land use, mapping, vegetation classification, environmental Results of ocean surface measurements by NRL active and monitoring, coastal features and processes, geology, and ice and passive sensors are summarized. The data set was collected snow. Approved and proposed microwave sensors are described during three flights over the Gulf Stream in the Spring of 1976 and the use of space shuttle as a development platform is and coincided with in situ measurements taken from an evaluated. A.R.H. oceanographic research vessel. The sensors were the NRL high flight radar, NRL wind-wave radar, a laser profilometer and a N79-10498*# National Air and Space Museum. Washington. precision radiation thermometer. The quantities derived include D. C. sea state, ocean wave frequency spectra, surface wind speed EARTH OBSERVATIONS AND PHOTOGRAPHY EXPERI- and sea surface temperature. The remote determinations are found MENT: SUMMARY OF SIGNIFICANT RESULTS to agree very well with other data sources In addition, Final Report experimental and theoretical results regarding the effects of ocean Farouk EI-Baz 30 Jun. 1978 26 p wave angular spreading on airborne profilometer determinations (Contract NAS9-13831) of wave frequency spectra are included as well as a detailed (NASA-CR-157780) Avail: NTIS HC A03/MF A01 CSCL description of the data analysis algorithm. The spectral distortion 14E is not severe for track angles within 15 degrees of the wind Observation and photographic data from the Apollo Soyuz vector. These indicate that airborne profilometer data is still useful Test Project are analyzed. The discussion is structured according for wind-wave generation studies as long as close attention is to the fields of investigation including: geology, desert studies, given to the track angle relative to the dominate surface wave oceanography, hydrology, and meteorology. The data were direction. Also, the proposition of using spectra from various obtained by: (1) visual observations of selected Earth features. track angles to infer the angular spreading function does not (2) hand-held camera photography to document observations, appear promising because the spectra do not show a substantial and (3) stereo mapping photography of areas of significant enough variation with the angular spreading function. scientific interest. S.B.S. Author (GRA)

43 08 INSTRUMENTATION AND SENSORS

N79 12410 Commonwealth Scientific and Industrial Research meteorological observations as an indicator of low level wind Organization, Aspendale (Australia). Div. of Atmospheric flow. Cirrus clouds caused atmospheric effects on remote sensing Physics. of the earth surface in the visible, near infrared, and thermal AN AIRBORNE X BAND MICROWAVE RADIOMETER infrared spectral regions. At times, these effects dominated both I. J. Barton and R. E. Meyer 1978 15 p refs aerosol paniculate scattering and gaseous absorption and (ISBN-0-643-00314-2: CSIRO-34) Copyright. Avail: Issuing reemission effects. Activity A null-balancing X-band microwave radiometer is described. N79-14440*# National Aeronautics and Space Administration. The instrument was installed in a light aircraft and used to Lyndon B. Johnson Space Center. Houston. Tex. remotely measure soil moisture content in the near surface layer DERIVED WATER TEMPERATURES USING S191 AND S192 of unvegetated terrain. Author DATA Final Report David E. Pitts (NASA. Johnson Space Center) and W. Johnson. Principal Investigators (Lockheed Electronics Co.. Houston. Tex.) N79-12531*# Instituto de Pesquisas Espaciais. Sao Jose dos In its Severe Storm Experiments: A Skylab EREP Rept. Aug. Campos (Brazil). 1978 lip refs Original contains imagery. Original photography RADIOMETRIC CORRECTION OF LAND SAT DATA may be purchased from the EROS Data Center. Sioux Falls. Nelson deJesusParada. R. Kumar. Principal Investigator, and L S. D. 57198 EREP A. Cavalcanti Oct. 1977 14 p refs Presented at 3d Seminario Sobre Sistemas Espaciasis. Campos. Brazil. 26 Sep. - 4 Oct. Avail: NTIS HC A07/MF A01 CSCL 08H 1977 Sponsored by NASA Original contains imagery. Original The author has identified the following significant results. photography may be purchased from the EROS Data Center. There is evidence that the cirrus clouds in the June 11 EREP Sioux Falls. S. D. 57198 ERTS data had a significant effect on both the S191 and S192 visible (E79-10017; NASA-CR-157906) Avail: NTIS and infrared data. For S191 data, the cirrus clouds appeared to HC A02/MF A01 CSCL 05B cause a 4- to 10 K decrease in equivalent black body temperature The author has identified the following significant results. for wavelengths from 10.3 to 13 micrometers. A secondary The six independent sensors of the multispectral band scanner observation was also apparent. Within the relatively small view are supposed to be identical: however, in actual practice, they of a satellite sensor, the error variability was approximately 7 K. may have different gain settings and offset factors, which result This emphasized that the variability of the absorbing medium in the effect known as stripping (black lines at regular intervals) was so great that no amount of radiosonde observation could of the imagery. A simple two parameter method to correct the predict it accurately Even ground-operated sensors would be of gain settings and offset factors of each of the sensors with limited value in defining the four dimensional variability of the respect to one sensor, taken as reference, was developed. This cirrus layers, except in a highly instrumented experimental method assumes: (1) the response of a detector varies linearly situation. with the radiance of radiation received, and (2) the means, as well as the standard deviations, of a reasonably large number of pixels, in a given wavelength band, are equal for each of the N79-14441*# National Aeronautics and Space Administration. detectors for the radiometrically corrected data. Lyndon B. Johnson Space Center. Houston. Tex. INVERSION OF S191 DATA INTO TEMPERATURE AND WATER VAPOR PROFILES Final Report N79-14438*# National Aeronautics and Space Administration. David E. Pitts (NASA. Johnson Space Center) and A. E. Dillinger. Lyndon B. Johnson Space Center. Houston, Tex. Principal Investigators (Lockheed Electronics Co.. Houston. Tex.) SEVERE STORM ENVIRONMENTS: A SKYLAB EREP In its Severe Storm Experiments: A Skylab EREP Rept. Aug. REPORT Final Report 1978 4 p ref EREP David E. Pitts (NASA. Johnson Space Center). Yoshikazu Sasaki (Oklahoma Univ.. Norman), and J. T. Lee. Principal Investigators Avail: NTIS HC A07/MF A01 CSCL 08H (National Severe Storms Lab.. Norman, Okla.) Aug. 1978 141 p refs Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 EREP N79-14442*# National Aeronautics and Space Administration. (E79-10027: NASA-TM-58184) Avail: NTIS Lyndon B. Johnson Space Center. Houston. Tex. HC A07/MF A01 CSCL 04B THE VARIATIONAL ANALYSIS OF JUNE 11. 1973. The results from the severe storm experiment over Texas METEOROLOGICAL DATA Final Report and Oklahoma are presented. Correlation of data, soil moisture, J. T. Lee (National Severe Storms Lab.. Norman. Okla.) and water temperature, and cloud characteristics were considered. Yoshikazu Sasaki. Principal Investigators (Oklahoma Univ.. The sensors used in this study were multispectral band cameras, Norman) In its Severe Storm Experiments: A Skylab EREP multispectral band scanners, infrared spectrometers, radiome- Rept. Aug. 1978 29 p refs EREP ters, and scatterometers. Avail: NTIS HC A07/MF A01 CSCL 048

N79-14439*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. SEVERE STORM EXPERIMENT SUMMARY Final Report N79-14443*# National Aeronautics and Space Administration. David E. Pins. Principal Investigator In its Severe Storm Lyndon B. Johnson Space Center. Houston. Tex. Experiments: A Skylab EREP Rept. Aug. 1978 5 p ref THE CORRELATION OF SKYLAB L-BAND BRIGHTNESS EREP TEMPERATURES WITH ANTECEDENT PRECIPITATION Avail: NTIS HC A07/MF A01 CSCL 04B Final Report The author has identified the following significant results. Marshall J. McFarland. Principal Investigator (Environmental The SI94 L-band radiometer was well suited for the remote Studies Service Center. College Station. Tex.) In its Severe sensing of synoptic soil moisture over large areas under a wide Storm Experiments: A Skylab EREP Rept. Aug. 1978 15 p variety of weather and terrain conditions. The S193 K-band refs EREP radiometer was also found to be well suited for remote sensing (Contract NAS9-13360) of soil moisture at near nadir look angles but was more sensitive Avail: NTIS HC A07/MF A01 CSCL 08M to the deleterious effects of surface roughness, vegetation cover, and cloud cover. The S193 K-band scatterometer had a high correlation with soil moisture for near nadir look angles but exhibited no advantage over the passive measurements. Cloud N79-14444*# National Aeronautics and Space Administration. street orientation was used in areas lacking radiosonde and surface Lyndon B. Johnson Space Center. Houston. Tex.

44 08 INSTRUMENTATION AND SENSORS

SOIL MOISTURE STUDY USING THE S193 RADIOMETER Final Report Bob E. Stucky. Principal Investigator (Lower Mississippi River Forecast Center. Slidell, La.) In its Severe Storm Experiments: A Skylab EREP Rept. Aug. 1978 14 p refs EREP

(Contract NAS9-13360) Avail: NTIS HC A07/MF AO1 CSCL 08M

N79-14445*jfl National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. S193 SCATTEROMETER CORRELATION WITH SOIL MOISTURE Final Report Bob E. Stucky. Principal Investigator (Lower Mississippi River Forecast Center. Slidell. Lc.) In its Severe Storm Experiments: A Skylab EREP Rept. Aug. 1978 6 p EREP

(Contract NAS9-13360) Avail: NTIS HC A07/MF A01 CSCL 08M

N79-14448*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center. Houston. Tex. RECTIFICATION OF A WHOLE-SKY PHOTOGRAPH AS A TOOL FOR DETERMINING SPATIAL POSITIONING OF CUMULUS CLOUDS Final Report Bob E. Stucky. Principal Investigator (Lower Mississippi River Forecast Center, Slidell. La.) In its Severe Storm Experiments: A Skylab EREP Rept. Aug. 1978 10 p refs Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls, S. D. 57198 EREP

(Contract NAS9-13360) Avail: NTIS HC A07/MF A01 CSCL 04B

N79-14447*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center, Houston, Tex. SEVERE STORM CLOUD-TOP CHARACTERISTICS Final Report David E. Pitts (NASA. Johnson Space Center), J. T. Lee (National Severe Storms Lab.. Norman. Okla.l, and W. JohnsoA. Principal Investigators (Lockheed Electronics Co.. Houston. Tex.) In its Severe Storm Experiments: A Skylab EREP Rept. Aug. 1978 33 p refs Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 EREP

Avail: NTIS HC A07/MF A01 CSCL 04B The author has identified the following significant results. The combination of the thermal infrared and the near infrared bands near 1.0 to 2.0 micrometers provided sufficient information to determine whether a cell was young and growing, was mature, or was decaying. This, together with areal measurements of the amount of water in each phase over growing thunderstorms, could provide key inputs of mesoscale energy budgets for both developing air mass thunderstorms and squall line type thunder- storms. This data must be available on the scales of a few hundred meters and tens of minutes.

N79-14448*# National Aeronautics and Space Administration. Lyndon B. Johnson Space Center, Houston, Tex. REMOTE SENSING OF ATMOSPHERIC WATER VAPOR Final Report David E. Pitts (NASA. Johnson Space Center), J. T. Lee (National Severe Storms .Lab., Norman, OklaJ. and W. Johnson, Principal Investigators (Lockheed Electronics Co.. Houston. Tex.) In its Severe Storm Experiments: A Skylab EREP Rept. Aug. 1978 10 p refs Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls, S. D. 57198 EREP

Avail: NTIS HC A07/MF A01 CSCL 04A

45 For a multitude of reasons - simplicity, ease of understanding, 09 financial constraints and credibility, among others - cost-effectiveness emerges as the most practical tool for conducting such evaluation GENERAL determinations in the Pacific Northwest. Preliminary findings in two Includes economic analysis. water resource application areas suggest, in conformity with most published studies, that Landsat-aided data collection methods enjoy substantial cost advantages over alternative techniques. The potential for sensitivity analysis based on cost/accuracy tradeoffs is considered on a theoretical plane in the absence of current accuracy figures concerning the Landsat-aided approach. (Author) A79-11255 Applications of remote sensing from space in Canada. W. M. Strome (Department of Energy, Mines and Resources, Canada Centre for Remote Sensing, Ottawa, Canada). International A79-11386 # The cost-effectiveness of operational remote Astronautical Federation, International Astronaut/cat Congress, sensing technology • A comparative analysis. K. B. Craib (Resources 29th, Dubrovnik, Yugoslavia, Oct. 1-8, 1978, Paper 78-117. 9 p. 21 Development Associates, Los Altos, Calif.). In: Conference on the refs. Economics of Remote Sensing Information Systems, 1st, San Jose, Canada's vast land and water area and its relatively small Calif., January 19-21, 1977, Proceedings. San population have suggested that satellite remote sensing might prove Jose, Calif., San Jose State University, 1977, p. 229-244. 15 refs. to be a valuable tool for the monitoring and management of the The objectives, advantages, and shortcomings of a cost-benefit natural resources and environment. As a result of the wide analysis are considered. Cost-effectiveness analysis is concerned with availability of satellite data, a number of applications for satellite comparing alternative methods to accomplish a given task or tasks, remote sensing have been developed in Canada. Applications being exogenously defined as required. The concept involved are illustrated explored in Canada are described. Some of the applications are close with the aid of an example. In August 1973, an experiment was to operational, while others require further research to meet the conducted for the U.S. Agency for International Development and needs of resource management. Well-established applications include the Government of Honduras to compare the relative cost, effective- the use of meteorological satellites for weather forecasting and the ness, and efficiency of alternative remote sensing techniques for soils use of Landsat for ice reconnaissance; however, others, such as major and land surveys in Honduras. As conducted in Honduras, the cereal crop information systems and forest inventory systems, call experiment included panchromatic color, color infrared and multi- for much more research background. S.D. spectral photography and Landsat imagery, manually interpreted with an additive color viewer and simple photointerpretation equipment. It was found that equally accurate soils survey interpreta- A79-11376 Conference on the Economics of Remote tions could be achieved with stereo color infrared or color Sensing Information Systems, 1st, San Jose State University, San photography, followed closely by stereo panchromatic photography. Jose, Calif., January 19-21, 1977, Proceedings. Conference sponsored G.R. by the San Jose State University. Edited by K. B. Craib (Resources Development Associates, Los Altos, Calif.) and T. H. Watkins (San Jose State University, San Jose, Calif.). San Jose, Calif., San Jose State University, 1977. 377 p. $15. A79-11475 Prospecting by satellite. E. S. Owen-Jones (Welsh Industrial and Maritime Museum, Cardiff, Wales). Physics in The economics of remote sensing information systems are Technology, vol. 9, Sept. 1978, p. 200-207. considered along with recent political and legal developments with The paper discusses the use of ultraviolet, visible, near-infrared, respect to the United Nations and remote sensing, refinements of the thermal infrared, and microwave band observations to detect Hayami-Peterson estimates of the social returns to improved crop resources from orbiting satellites. Sample data are presented, forecasts, a world food survey, the value of improved global crop including, for example, the differences between the reflectance information, an econometric approach to the measurement of spectra for background balsam fir and fir containing high concentra- benefits of information systems involving remotely sensed data, tions of copper and molybdenum. The future role of satellite information and efficient market processes, remote sensing oceano- prospecting is considered. M.L. graphic and terrestrial information systems, and crop forecasting benefits of Landsat. Attention is also given to agricultural crop acreage estimates for small land areas using Landsat, the improve- ment ot earth resource inventories utilizing remotely sensed data, A7y-11662 Internationalization of remote sensing tech- and economic analysis in the Pacific Northwest Land Resources nology. C. K. Paul (Agency for International Development, Washing- Project, characteristics and costs of selected projects using high ton, D.C.). In: American Society of Photogrammetry, Fall Technical altitude color infrared imagery, and a comparison of photointerpre- Meeting, Little Rock, Ark., October 18-21, 1977, Proceedings. tive and digital production methods for four key remote sensing- Falls Church, Va., American Society of Photo- based information products. G.R. grammetry, 1977, p. 57-64. The Agency for International Development (AID) began spon- soring international activities in remote sensing in 1971, one year A79-11383 # Economic analysis in the Pacific Northwest before the launch of Landsat-1, with the Smithsonian Symposium in Land Resources Project - Theoretical considerations and preliminary Remote Sensing. From 1972 to the present, limited technical results. D. R. A. Morse and J. T. Sahlberg (Bureau of State Planning assistance has been provided to several countries which has led and Community Affairs, Div. of Budget, Policy Planning and remote sensing investigators in developing countries to be selected by Coordination, Boise, Idaho). In: Conference on the Economics of NASA for the Landsat investigation program. In addition, AID has Remote Sensing Information Systems, 1st, San Jose, Calif., January sponsored four regional workshops in remote sensing technology and 19-21, 1977, Proceedings. San Jose, Calif., San the U.S. Information Agency has sponsored two seminars in training Jose State University, 1977, p. 171-193. 41 refs. image analysts to make appropriate choices in selecting those The Pacific Northwest Land Resources Inventory Demonstra- features of the technology suitable for their resource requirements. tion Project is an attempt to combine a whole spectrum of Recent earth resources problems and past global monitoring exper- heterogeneous geographic, institutional and applications elements in iences with Landsat in the developing countries have maintained a synergistic approach to the evaluation of remote sensing tech- interest in the satellite. Attention is given to details regarding AID's niques. This diversity is the prime motivating factor behind a program and an evaluation ot the advantages of remote sensing theoretical investigation of alternative economic analysis procedures. technology for the developing countries. G.R.

47 09 GENERAL

A79-11753 H -Cornell's remote sensing program - Remote Force identified and cataloged over 3,000 data elements - basic sensing for the user. W. R. Philipson, T. Liang, T. L. Erb, and B. L. information needed for the lowest level of discrete decisions. Data Markham (Cornell University, Ithaca, N.Y.). In: American Society of elements were described in terms of agency standards for accuracy Photogrammetry, Annual Meeting, 44th, Washington, D.C., February and time constraints, and requirements for geographic coverage. 26-March 4, 1978, Proceedings. Falls Church, Agency data needs were consolidated noting identical as well as Va., American Society of Photogrammetry, 1978, p. 64-73. 'linked' (similar) requirements. Requirements were evaluated by A survey of the NASA-sponsored Cornell Remote Sensing panels of experts as having immediate potential for being satisfied by Program is presented noting the participating representatives, remote sensing or potential based on additional research and courses, and facilities available. Projects including assessments of the development. The detailed work involving actual users has enabled values of Landsat data for planning in the New York City area, the Department to establish priority areas of concern and has laid the mapping the soils and geology of New York State, and state-wide groundwork for a balanced remote sensing program. (Author) wetlands inventories are discussed. Brief consideration is given to county- and town-level projects, projects conducted for state agencies, and projects utilizing satellite data. S.C.S. A79-16178 Information requirements for natural resource inventories. W. J. Bonner (Bureau of Land Management, Denver, Colo.). In: National Computer Conference, Anaheim, Calif., June A79-12502 The contribution of space observations to 5-8, 1978, Proceedings. Montvale, N.J., AFIPS global food information systems; Proceedings of the W. Nordberg Press, 1978. p. 87-91. Memorial Symposium, Tel Aviv, Israel, June 7-18, 1977. Symposium The Wildland Vegetation Resource Inventory Project is managed sponsored by COSPAR and International Association of Meteorology by the Bureau of Land Management in cooperation with NASA and and Atmospheric Physics. Edited by E. A. Godby (Canada Centre for the EROS Data Center. Landsat data is used for purposes of: (1) Remote Sensing, Ottawa, Canada) and J. Otterman (Tel Aviv vegetation classification, (2) timber estimation, (3) the mapping of University, Tel Aviv, Israel). Oxford, Pergamon Press, Ltd. (Advances physical change from wildfire and mining activities, and (4) geologi- in Space Exploration. Volume 2), 1978. 210 p. S25. cal mapping. Products are evaluated and interpreted by qualified resource specialists who have also received intensive training in re- Space technology applications to the development of global mote sensing. The result is the development within BLM of informa- food information systems are discussed for the purpose of informing tion requirement guidelines defining platform levels suitable for potential end users. Topic classifications include range monitoring selected resource inventory tasks. B.J. and management, food information systems (crop observations, growing conditions, and modeling), the influence of climatic change on crop production, and marine food resources. Information A79-16180 Digital image analysis applications in state obtained from satellites is described, and the organization and natural resource agencies. P. A. Tessar. In: National Computer application of this information is considered. M.L. Conference, .Anaheim, Calif., June 5-8, 1978, Proceedings. Montvale, N.J., AFIPS Press, 1978, p. 107-112. The paper discusses the experiences of two state programs in A79-13383 A review of space research, 1976-1977. C. de developing or acquiring and applying digital Landsat analysis Jager (Utrecht, Rijksuniversiteit, Utrecht, Netherlands). In: Space capabilities, i.e., (1) the North Dakota Regional Environmental research XVIII; Proceedings of the Open Meetings of the Working Assessment Program's state land cover analysis, and (2) the South Groups on Physical Sciences, Tel Aviv, Israel, June 7-18, 1977. Dakota Land Use Inventory. The implications of the two programs Oxford, Pergamon Press, Ltd., 1978, p. 3-28. for the computerized processing of Landsat data are briefly Various remote sensing projects are discussed noting the Fourier considered. B.J. spectrometer and a high-resolution multispectral scanner camera. Projects involving the determination of crop species and measure- A79-16187 * Remote sensing program in earth resources. F. ments of atmospheric absorption lines are discussed. Studies of the C. Billingsley (NASA, Washington, D.C.) and D. T. Lauer (U.S. upper atmosphere are considered including the ozone layer, the Geological Survey, Sioux Falls, S. Dak.). In: National Computer influx of energetic solar protons, and density and pressure profiles. Conference, Anaheim, Calif., June 5-8, 1978, Proceedings. Rocket sounding for ionospheric and magnetospheric observations.is Montvale, N.J., AFIPS Press, 1978, p. 173, 174. described along with determinations of the total solar radiation flux The basic features of the NASA remote sensing program are and X-ray emissions from solar flares. Data concerning the solar wind briefly outlined. Consideration is given to physical data acquisition are assessed and the Viking and Luna-24 missions are outlined. The and preprocessing, archiving for bulk retrieval, availability of Landsat U.S.-Netherlands balloon-borne ultraviolet stellar spectrograph device data, and the role of foreign ground stations. B.J. and its applications are reviewed. S.C.S.

A79-13833 H Current and potential uses of aerospace tech- A79-16554 * Cost benefit assessment of NASA remote nology by the U.S. Department of the Interior. G. A. Thorley and C. sensing technology transferred to the State of Georgia. D. L. Kelly, J. Robinove (U.S. Geological Survey, Reston, Va.). American R. P. Zimmer, and R. D. Wilkins (Georgia Institute of Technology, Institute of Aeronautics and Astronautics and NASA, Conference on Atlanta, Ga.). In: SOUTHEASTCON '78; Proceedings of the South- 'Smart' Sensors, Hampton, Va., Nov. 14-16, 1978, AIAA Paper east Region 3 Conference, Atlanta, Ga., April 10-12, 1978. 78-1716. 8 p. Piscataway, N.J., Institute of Electrical and Electronics Engineers, Inc., 1978, p. 430-433. Contract No. NAS9-15283. The benefits involved in the transfer of NASA remote sensing A79-13836 •? Techniques for acquiring earth resource data technology to eight Georgia state agencies are identified in quantifi- that will be acceptable and useful to program managers. W. E. Kibler able and qualitative terms, and a value for these benefits is computed (U.S. Department of Agriculture,. Washington, D.C.). American by means of an effectiveness analysis. The benefits of the transfer are Institute of Aeronautics and.Astronautics and NASA, Conference on evaluated by contrasting a baseline scenario without Landsat and an 'Smart' Sensors, Hampton, Va..-Nov. 14-16, 1978, AIAA Paper alternative scenario with Landsat. The net present value of the 78-1720. 10 p. Landsat technology being transferred is estimated at 9.5 million To ensure that newly developed remote sensing technology dollars. The estimated value of the transfer is most sensitive to would fit specific user needs, the U.S. Department of Agriculture discount rate, the cost of photo acquisition, and the cost of data established a Remote Sensing User Requirements Task Force made digitalization. It is estimated that, if the budget is constrained, up of representatives from eight Department agencies having signifi- Landsat could provide data products roughly seven times more cant requirements for earth resource data and information, The Task frequently than would otherwise be possible. M.L.

48 09 GENERAL

A79-17076 Space Shuttle and Spacelab utilization: Near- sources). The resultant total oil demand is then met first from term and long-term benefits for mankind; Proceedings of the non-OPEC oil supplies, in order to test the demand for and Twen:y-fourth Annual Meeting and Sixteenth Goddard Memorial adequacy of OPEC oil supplies under different energy demand Symposium, Washington. D.C., March 8-10, 1978. Parts 1 & 2. scenarios. The findings are that a gradual transition to non-oil Meeting and Symposium sponsored by the American Astronautical sources of energy over the next 25 to 30 years is more likely Society and Deutsche Gesellschaft ftir Luft- und Raumfahrt. Edited than an extended oil shortage of crisis proportions. DOE by G. W. Morgenthaler (Martin Marietta Aerospace, Bethesda, Md.) and M. Hollstein (Dornier GmbH, Friedrichshafen, West Germany). N79-1194O# Swedish Board for Space Activities. Solna. San Diego, Calif., American Astronautical Society (Advances in the SWEDISH SPACE ACTIVITIES DURING 1977 Astronautical Sciences. Volume 37, Pts. 1 & 2); Univelt, Inc., 1978. 25 Jan. 1978 9 p Pt. 1, 399 p.; pt. 2, 455 p. Price of two parts, S70. Avail: NTIS HC A02/MF A01 National and international space activities in Sweden are Consideration is given to such aspects of Shuttle/Spacelab summarized. Projects described include remote sensing of earth utilization as advanced missions for X-ray astronomy, life sciences resources: meteorology; communications: satellites: sounding programs, materials research and space processing experiments, solar rockets; balloons and aeroplanes; and telemetry. ESA power satellite developments, and space experiments related to earth resources technology. Particular papers are presented on a Spacelab N79-12131jjf National Environmental Satellite Center, Washing- payload for communication and navigation experiments, utilization ton. D. C. of thin silicon solar cells in space, and crystal growth experiments on SATELLITE ACTIVITIES OF NOAA 1977 Spacelab. B.J. Apr. 1978 22 p Avail: NTIS HC A02/MF A01 To make sure the earth will continue to serve and sustain A79-17078 * Landsat missions. H. Mannheimer and S. Der- its people, NOAA pursues a variety of programs. These include deyn (NASA, Washington, D.C.). In: Space Shuttle and Spacelab operating, maintaining, and improving the operational environmen- utilization: Near-term and long-term benefits for mankind; Proceed- tal satellite systems; providing data to assess the impact of ings of the Twenty-fourth Annual Meeting and Sixteenth Goddard natural and people-induced factors on such things as global Memorial Symposium, Washington, D.C., March 8-10, 1978. Part 1. food supplies, national energy problems, and environmental San Diego, Calif., American Astronautical Soci- quality; conducting fundamental research to improve our ety; Univelt, Inc., 1978, p. 257-272. (AAS 78-019) understanding of the environment: using satellite data and aerial This paper gives a description and present status of NASA's photography for charting, coastal mapping, and geodetic research; Landsat program, including the orbital coverage, payload, data improving weather services through the automation of forecast processing, and data products. Data uses are discussed in general and observation stations, better radar systems, and continued terms. Also discussed are NASA's plans for the Landsat-3 and atmospheric research; and improving the assessment and conservation of all living marine resources. J.A.M. Landsat-D missions and the improved capabilities represented by these missions. The Shuttle retrieval of Landsat-D and the Shuttle launch of future Landsat satellites are discussed conceptually. N79-13434*||l Institute de Pesquisas Espaciais, Sao Jose oos (Author) Campos (Brazil). OVERVIEW OF BRAZILIAN REMOTE SENSING ACTIVI- N79-10O96*# National Aeronautics and Space Administration. TIES Goddard Space Flight Center. Greenbelt. Md. Nelson deJesusParada, Principal Investigator and Claudio Roland POST LANDSAT D ADVANCED CONCEPT EVALUATION Sonnenburg Aug. 1978 24 p refs Sponsored by NASA F. S. Flatow and L. D. Alexander (GE Co ) In NASA. Langley ERTS Res. Center Large Space Systems Technol.. Vol. 1 1978 (E79-10023; NASA-CR-157912: INPE-1323-NTE/126) Avail: p 533-567 NTIS HC A02/MF A01 CSCL 05B (Contract NAS2-9580) Avail: NTIS HC A23/MF A01 CSCL 22B N79-13443*f Servicio Geologico de Bolivia, La Paz. Preliminary results of a past LANDSAT D advanced concept [BOLIVIAN PROGRAM OF SATELLITE TECHNOLOGY OF evaluation study to forecast and identify key technologies required EARTH RESOURCES. ERTS] [PROGRAMA DEL SATEUTE for earth resources satellite systems in the 1985 to 2000 time TECHNOLOGICO DE RECUR8OS NATURALES ERTS. period are presented. Mission categories discussed include BOLIVIA] agriculture, range management, forestry, geological resources, land Carlos E. Brockmann. Principal Investigator Aug. 1978 127 p use, water resources, environmental quality, and disaster refs In SPANISH and ENGLISH Sponsored by NASA Original assessment. Sensor and system concepts are described for a contains color illustrations ERTS passive L-band radiometer (microsat), a texturometer to measure (E79-10036; NASA-CR-157919; Rept-2) Avail: NTIS ground surface texture, and a ferns wheel radar configuration HC A07/MF A01 CSCL 058 that relies on cable tension for support. ARM N79-134*8*# Instituto de Pesquisas Espaciais. Sao Jose dos Campos (Brazil). N79-11454# Petroleum Industry Research Foundation, Inc.. New INPE REMOTE SENSING PROGRAM [PROGRAMA DE York. SENSORIAMENTO MEMOTO DO INPE] OUTLOOK FOR WORLD OIL INTO THE 21ST CENTURY Nelson deJesusParada. Principal Investigator and Claudio Roland WITH EMPHASIS ON THE PERIOD TO 1990 Final Report Sonnenburg Aug. 1978 10 p In PORTUGUESE Sponsored John H. Lichtblau and H. J Frank May 1978 180 p refs by NASA ERTS Sponsored by Electric Power Research Inst. Prepared in (E79-10061; NASA-CR-157929; INPE-1345-AMD/001) Avail: cooperation with Arizona Univ NTIS HC A02/MF A01 CSCL 05B (EPRI-EA-745; SOA-76-328) Avail: NTIS HC A09/MF A01 A forecast is presented of oil supply and demand in the N79-144B6*# National Aeronautics and Space Administration. non-Communist world for two periods: 1976 to 1990 and 1990 Lyndon B. Johnson Space Center. Houston, Tex. to 2005. Oil is treated as the energy supply of last resort, the TECHNOLOGY TRANSFER: CONCEPTS. USER REQUIRE- balancing item, with special emphasis on oil from the Organization MENTS, AND A PRACTICAL APPLICATION of Petroleum Exporting Countries (OPEC). Energy demand, based J. 0. Murphy (USDA Agricultural Stabilization and Conservation on forecast economic growths and energy/economic growth Service, Houston. Tex.). F. C. David (USDA Economics, Statistics, relationships is projected. This demand is assumed to be met to and Cooperatives Service, Houston, Tex.). R. E. Hatch (USDA the maximum feasible extent from non-oil energy supplies (coal, Foreign Agricultural Service, Houston, Tex.), R. L. Packard (USDA gas. nuclear power, hydro and geothermal power, and other Foreign Agricultural Service. Washington, D. C.). and D. Dunca.

49 09 GENERAL

Principal Investigators In its Proc. of the Plenary Session: The LACIE Symp. Oct. 1978 p 105-118 refs EREP

Avail: NTIS HC A07/MF A01 CSCL 02C

N79-15118*# National Aeronautics and Space Administration. Langley Research Center. Hampton, Va. OAST SPACE THEME WORKSHOP. VOLUME 2: THEME SUMMARY. 6: GLOBAL SERVICE (NO. 11). A. STATE- MENT. B. 26 APRIL 1976 PRESENTATION. C. SUM- MARY 1976 45 p Workshop held at Langley Station. Va.. 26-30 Apr. 1976 17 Vol. (NASA-TM-80006) Avail: NTIS HC A03/MF A01 CSCL 22A The benefits to be obtained from cost-effective global observation of the earth, its environment, and its natural and man-made features are examined using typical spacecraft and missions which could enhance the benefits of space operations. The technology needs and areas of interest include: (Da ten-fold increase in the dimensions of deployable and erectable structures to provide booms, antennas, and platforms for global sensor systems: (2) control and stabilization systems capable of pointing accuracies of 1 arc second or less to locate targets of interest and maintain platform or sensor orientation during operations: (3) a factor of five improvements in spacecraft power capacity to support payloads and supporting electronics; (4) auxiliary propulsion systems capable of 5 to 10 years on orbit operation: (5) multipurpose sensors: and (6) end-to-end data management and an information system configured to accept new components or concepts as they develop A.R.H.

N79-15364*# California Univ.. Berkeley. Space Sciences Lab. APPLICATION OF REMOTE SENSING TO SELECTED PROBLEMS WITHIN THE STATE OF CALIFORNIA Annual Report Robert N. Colwell. Andrew S. Benson, John E. Estes, and Leonard W. Bowden. Principal Investigators 1 May 1978 193 p refs Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 ERTS (Grant NsG-7220) (E79-10075: NASA-CR-157968: SSL-Ser-19-lssue-64) Avail: NTIS HC A09/MF A01 CSCL 058

N79-16361*# California Univ.. Berkeley. Space Sciences Lab. AN INTEGRATED STUDY OF EARTH RESOURCES IN THE STATE OF CALIFORNIA USING REMOTE SENSING TECHNIQUES Annual Progres* Report Robert N. Colwell. Ralph Algazi. Leonard W. Bowden. John E. Estes, Ida R. Hoos, and Siamak Khorram. Principal Investigators 1 May 1978 220 p refs Original contains color imagery. Original photography may be purchased from the EROS Data Center. Sioux Falls. S. D. 57198 ERTS (Grant NGL-05-003-404) (E79-10082: NASA-CR-157975: SSL-Ser-19-lssue-53-Vol-1) Avail: NTIS HC A10/MF A01 CSCL 08F

50 SUBJECT INDEX

Earth Resources/ A Continuing Bibliography (Issue 21) APRIL 1979

Typical Subject Index Listing

SUBJECT HEADING | TITLE EXTENSION |—

I GRf AT PLAINS CORRIDOR I VORTH AMERICA) — LafQa Ar«« Crop Invert ory E«penmenl (LACIEI Vie d-weathftr regression mod Is for the Canadian prairies Albene. Saskatchewan, anc IE;9 10071) pOOl 6 N79 IS350 , == Texture-tone analysis for automated land-use mapping AEROSPACE SCIENCES REPORT PAGE ACCESSION — TITLE p0037 A79-13795 A review of space research. 1976-1977 NUMBER NUMBER NUMBER Spray block mapping control for spruce budworm using P0048 A79-13383 Landsat and high altitude remote sensing AEROSPACE TECHNOLOGY TRANSFER p0002 A79-14152 Current and potential uses of aerospace technology by The subject heading is a key to the subject con- Realistic land use mapping — using MSS remote sensing the U.S. Department of the Interior tent of the document. The title is used to provide and aerial photography pO018 A79-14167 [AIAA PAPER 78-1716] p0048 A79-13833 Spectral and spatial signatura recognition in urbanizing Cost benefit assessment of NASA remote sensing a description of the subject matter. When the areas of southern California from U-2 color infra-red technology transferred to the State of Georgia imagery p0018 A79-14173 title is insufficiently descriptive of the document P0048 A79-16554 Remote sensing and vegetation damage - A theory for AFRICA content, the title extension is added, separated detection and assessment pQ003 A79-17877 Future applications of a satellite observation system for Previsual detection - The elusive .dream --- for remotely from the title by three hyphens. The (NASA or tha long-term monitoring of geodynamic processes sensed vegetation damage pOO03 A79-17878 [DGLR PAPER 78-147] pOOIS A79-14093 AIAA) accession number and the page number The application of digital terrain model and space are included in each entry to assist the user in resection techniques to digitizing the position of southern Project Gondwana: Jugaribe-SB-24 [E79-10013] p0027 N79-12528 locating the abstract in the abstract section (of pine beetle infestations delineated on large seals aerial photographs p0004 A79-17884 AGRICULTURE this supplement). If applicable, a report number Microdensitometry to identify Douglas-fir tussock moth Experiment on the interaction of microwaves with natural is also included as an aid in identifying the docu- defoliation on color IR aerial photos p0004 A79-17885 surfaces from the viewpoint of their use in the remote Recognition of patterns of damage in tall forests in sensing of agricultural zones ment. Under any one subject heading, the acces- Australia — by aerial photography pOO04 A79-17889 [IAF PAPER 78-ST-01) pOOOl A79-11357 sion numbers are arranged in sequence with the Full coverage at large scale --- under-cloud aerial An analysis of aircraft requirements to meet United States AIAA accession numbers appearing first. photography for monitoring forest disease Department of Agriculture remote sensing goals p0004 A79-17890 pOOOl A79-11388 Detection of a crown dieback in Australian eucalypt A reduction in ag./residential signature conflict using forests on large-scale aerial photographs principal components analysis of Landsat temporal data p0004 A79-17891 p0017 A79-11669 The use of CIR aerial photography for Dutch elm disease Sensor needs for agricultural applications ACCURACY detection — Color IR pOOO4 A79-17892 [AIAA PAPER 78-1745] pO002 A79-13852 Large Ares Crop Inventory Experiment (LACIE). LACIE Remote sensing approach to identifying preferred Separability of agricultural cover types in spectral phase 3 interim accuracy assessment plan Douglas-fir tussock moth /Orgyia pseudotsugata McD./ channels and wavelength regions [E79-10043] P0009 N79-13450 sites pOO05 A79-17893 [NASA-CR-157803] pOO06 N79-11451 Large Area Crop Inventory Experiment (LACIE). LACIE Multiphase airphoto assessment for annual losses caused Remote sensing of agricultural resources. A bibliography phase 3 accuracy assessment plan by the mountain pine beetle in lodgepole pine with abstracts [E79-10044] P0009 N79-13451 pOOOB A79-17895 [NTIS/PS-78/0969/2] P0007 N79-12536 Large Area Crop Inventory Experiment (LACIE). LACIE Use of color infrared aerial photography for documenting A selected bibliography: Remote sensing applications phase 2 accuracy assessment plan baseline vegetation stress in environmental impact for tropical and subtropical vegetation analysis [E79-10048] P0009 N79-13455 assessment p0005 A79-17896 [PB-284683/0] pOO07 N79-12539 Large Area Crop Inventory Experiment (LACIE). LACIE Evaluation of spectral channels and wavelength regions quick look accuracy assessment report, review of the Landsat verification of aerial sketch-mapping --- in forest monitoring pOOOS A79-17898 for separability of agricultural cover types December 17, 1976 CAR --- Minnesota, Montana, Kansas, (E79-1O024] pOOOS N79-13435 South Dakota Texas, Oklahoma, and Nebraska Washington State forest insect survey - Combining aerial Comparison of feature selection techniques for earth [E79-10052] p0009 N79-13459 sketch map and remote sensing techniques pCO05 A79-17901 resources data Experiment design session: Accuracy assessment, the [E79-10025] pOOOS N79-13436 statistical approach to performance evaluation Remote sensing for determination of seedling survival Large Area Crop Inventory Experiment (LACIE). LACIE pOOl 3 N79-14464 — for reforestation of clear cut areas pOO05 A79-17902 Remote sensing of vegetation damage to assess the phase 3 interim accuracy assessment plan System implementation and operations session: [E79-10O43] p0009 N79-13450 Accuracy assessment, system implementation and effectiveness of prescribed burning in Australia Large Area Crop Inventory Experiment (LACIE). LACIE operation — Oklahoma, Montana. Minnesota, and p0006 A79-17903 phase 3 accuracy assessment plan U.S.S.R. p0013 N79-14470 Mini-format remote sensing for civil engineering [E79-10044] pOO09 N79-13451 Experiment results session: Accuracy and performance hand-held stereophotography from small aircraft Large Area Crop Inventory Experiment (LACIE). Level of LACIE estimates — Minnesota, Oklahoma, North Dakota, p0043 A79-18575 3 baseline: LACIE Information Evaluation (IE) Great Plains, Canada, and U.S.S.R. p0014 N79-14482 Results of a two-stage unequal probability /PPS/ implementation/operations plan Experiment results session: Accuracy and performance sampling for timber volume using an orthophoto mosaic pOO06 A79-19892 [E79-10047] p0009 N79-13454 of LACIE yield estimates — Great Plains, North Dakota. Large Area Crop Inventory Experiment (LACIE). LACIE Montana. Oklahoma, Texas, Kansas. Colorado, Nebraska, Forest road planning from aerial photographs CAMS training plan pOO06 A79-19894 South Dakota Minnesota. Canada, Australia, Brazil. India, (E79-10051] pCO09 N79-13458 and U.S.S.R. P0014 N79-14483 Remote sensing applied to environmental pollution Large Area Crop Inventory Experiment (LACIE). Experiment results session: Accuracy and performance detection and management. • A bibliography with LANDSAT 3X gain study -— Kansas. Texas, and Imperial of LACIE crop development models -•- Texas, Oklahoma, abstracts Valley, California Kansas, Nebraska. North Dakota, South Dakota. Montana. (NTIS/PS-78/0789/4) p0019 N79-10505 [E79-10059] • pOOlO N79-13466 and Minnesota p0014 N79-14484 Remote sensing applied to urban and regional planning. Project SUDAM: Use of LANDSAT data to study the ADRIATIC SEA A bibliography with abstracts impact of agricultural projects in the Amazon Remote sensing and ocean modelling - An application (NTIS/PS-78/0790/2] p0019 N79-10506 [E79-100601 o0010 N79-13467 to the Adriatic Sea p0030 A79-16776 HCMM Heat Capacity Mapping Mission INPE remote sensing program --- Brazil AERIAL PHOTOGRAPHY [E79-10007] pOO08 N79-13428 [E79-10061] p0049 N79-13468 Remote sensing oceanographic and terrestrial information Semiautomatic extraction of roads from aerial An independent evaluation by the plenary peer review systems p0029 A79-11379 photographs team --- United States of America. U.S.S.R., and Canada Michigan resource inventories - Characteristics and costs [AD-A060065] p0020 N79-15373 pCO11 N79-14431 of selected projects using high altitude color infrared AERIAL RECONNAISSANCE Findings of the experiment results peer group — United imagery p0037 A79-11384 American Society of Photogrammetry. Annual Meeting, States of America. U.S.S.R., and Canada p0011 N79-14432 A comparison of photoiinterpretive and digital production 44th, Washington, D.C.. February 26-March 4, 1978, Findings of the USDA applications test system peer methods for four key remote sensing-based information Proceedings p0037 A79-11751 group pOOII N79-14436 products P0037 A79-11385 Interpretation of satellite and aircraft imagery for LACIE: - An experiment in global crop forecasting --- planning/design and management of marine parks and An analysis of aircraft requirements to meet United States united states of america and u.s.s.r. p0012 N79-14451 reserves p0017 A79-11754 Department of Agriculture remote sensing goals The LACIE supporting research program: A focused pOOOl A79-11388 Interrelation between photogrammetry and remote approach to research and development Multidate/multispectral crop identification • Digital sensing cadastral localizing of cultivation inventory, obtained p0012 N79-14453 techniques applied to high altitude photography and Landsat by remote sensing pOO03 A79-14159 Data processing systems in support of LACIE and future imagery pO002 A79-11660 Trophic classification of Colorado lakes utilizing contact agricultural research programs p0012 N79-14454 40 years of Mississippi River flood plain change assessed data. Landsat and aircraft-acquired multispectral scanner System implementation and operations session: System by aerial photography p0033 A79-11661 data pO034 A79-15132 implementation and approaches used for generation of crop An interactive lake survey program --- airborne Washington State forest insect survey - Combining aerial production reports pCO13 N79-14469 multispectral sensor image processing sketch map and remote sensing techniques Data processing systems design session: Data processing p0034 A79-12007 p0005 A79-17901 systems overview p0013 N79-14472 A-1 AGROCLIMATOLOGY SUBJECT INDEX

Experiment results session: LACIE crop years, an Gulf stream ground truth project. Results of NRL airborne Geologic application of thermal-inertia mapping from assessment of crop conditions — Great Plains, U.S.S.R., sensors satellite — Wyoming and Arizona and Canada p0014 N79-14481 [AD-A057420] p0043 N79-1 1639 [E79-10081] pO027 N79-15360 Experiment results session: Accuracy and performance An airborne X-band microwave radiometer --- for soil ARKANSAS of LACIE crop development models — Texas, Oklahoma. moisture measurements Landsat change detection can aid in water quality Kansas. Nebraska, North Dakota, South Dakota, Montana. {ISBN-0-643-00314-2) pO044 N79-12410 monitoring pOO33 A79-11667 and Minnesota pO014 N79-14484 AIMBOMNE SURVEILLANCE RADAR ASIA Supporting Research and Technology (SRT) session: SLAR for forest type-classification in a semi-deciduous Contemporary tectonics in the Tien Shan region Prediction of wheat phenologies! development, a tropical region p0006 A79-19891 pOO21 A79-18863 state-of-the-art review p0014 N79-14490 ASSESSMENTS AIRBORNE/SPACEBORNE COMPUTERS USDA Application Test System (ATS) session: The nation's water resources, the second national water The role of 'Smart' sensors in earth resources remote Technology transfer: concepts, user requirements, and their assessment. Pan 1: Introduction sensing programs IPB-285747/2] pO035 N79-14512 practical application --- Montana. North Dakota, and (AIAA PAPER 78-1717} pOO41 A79-13834 U.S.S.R. pO014 N79-14492 The nation's water resources, the second national water USDA Application Test System (ATS) session: The The Seasat-A satellite radar altimeter spacebome assessment. Part 2: Water management problem application test system, an approach for technology transfer microcomputer p0043 A79-18869 profiles — Montana, North Dakota, and U.S.S.R. ALABAMA [PB-285748/0] p0035 N79-14513 pO015 N79-14493 The use of Landsat-derived land cover data in a flood The nation's water resources, the second national water USDA Application Test System (ATS) session: ATS. peak correlation study pOO33 A79-11755 assessment. Pan 3: Functional water uses technical approach and system design A LAMA [PB-285749/8] pO035 N79-14514 p0015 N79-14495 Multispectral remote observations of hydrologic features The nation's water resources, the second national water USDA Application Test System (ATS) session: Data on the North Slope of Alaska p0033 A79-11672 assessment. Part 4: Water supply and water quality base design for a worldwide multicrop information system American Society of Photogrammetry, Annual Meeting. considerations — U.S.S.R. pO015 N79-14496 44th, Washington, D.C.. February 26-March 4. 1978. [PB-285750/6] p0035 N79-14515 Large Area Crop Inventory Experiment (LACIE). Level Proceedings p0037 A79-11751 The nation's water resources, the second national water 3 baseline; Classification And Mensuration Subsystem Mineral precipitation in north slope aufeis assessment. Appendix B: Methodologies and (CAMS) requirements, volume 2. revision E [NASA-TM-79642] p0026 N79-10502 socio-economic characteristics and patterns of change and IE79-10070] pOOIS N79-15349 ALFALFA water use and water supply data Application of remote sensing to selected problems within Large Area Crop Inventory Experiment (LACIE). Detection (PB-285815/7] p0036 N79-14517 the state of California of episodic phenomena on LANDSAT imagery — Kansas ATLANTIC OCEAN [E79-10075] pOOSO N79-15354 [E79-10055] pO010 N79-13462 LAND SAT and environmental impact in the Paraiba Valley Measurement of ocean wave heights using the Geos 3 of Sao Paulo ALQAE altimeter pOO41 A79-11767 [E79-10086] pO020 N79-15364 Laboratory studies of in vivo fluorescence of Application of LANDSAT satellite imagery and Application of LAND SAT in the evaluation of argicultural phytoplankton p0030 A79-15119 oceanographic data for verification of an upwelting and forest resources — Brazil and Amazon Region ALGORITHMS mathematical mode) — Atlantic Coast of Brazil [E79-10088] p0016 N79-15366 Feature selection and sample classification algorithms [E79-10026] P0031 N79-13437 Remote sensing applications to resource problems in of INPE The application of remote sensors to a model for fish South Dakota [INPE-1120-PE/088] p0039 N79-10812 mapping [E79-10089] p0016 N79-15367 ALL SKY PHOTOGRAPHY [INPE-1379-PE/176] p0031 N79-14712 The Large Area Crop Inventory Experiment (LACIE). An Rectification of a whole-sky photograph as a tool for ATMOSPHERIC MOISTURE application of remote sensing by murtispectral scanners determining spatial positioning of cumulus clouds --- Remote sensing of atmospheric water vapor --- Oklahoma [E79-10091] pO016 N79-15369 Oklahoma pO045 N79-14446 and Texas pOO45 N79-14448 AGROCUMATOLOGY AMAZON REGION (SOUTH AMERICA) ATMOSPHERIC PHYSICS An example of the economic interest in remote sensing Coverage behavior of ERDSAT for some selected areas Analysis of a remote sensing paytoad for the Spacelab - Forecasting of maize crops of the earth's surface D3 mission (preliminary phase A) [IAF PAPER 78-116] pOO01 A79-11254 [ESA-TT-494] pO043 N79-11458 [ESA-TT-482] pOO43 N79-11456 Briefing Materials for Technical Presentations, Volume The use of LANDSAT data for the establishment, control ATMOSPHERIC TEMPERATURE B: The LACIE Symposium and supervision of pasture projects in the southeast Amazon Experiment results session: LACIE crop years, an U79 10031) p0013 N79-14480 region assessment of crop conditions — Great Plains. U.S.S.R, Supporting Research and Technology (SRT) session: [E79-10016] pO007 N79-12530 and Canada pOO14 N79-14481 Status of yield estimation technology, a review of Deforestation planning for cattle grazing in Amazon Basin AUSTRALIA second-generation model development — North Dakota, using LANDSAT data Montana, Minnesota. Kansas, South Dakota, Nebraska, Symposium on Remote Sensing for Vegetation Damage [E79-10018J pOOOS N79-13431 Assessment. Seattle. Wash.. February 14-16, 1978. Colorado. Texas. Oklahoma, and U.S.S.R. Overview of Brazilian remote sensing activities •-- Proceedings pOO03 A79-17876 p0014 N79-14489 Amazon Region Recognition of patterns of damage in tall forests in Supporting Research and Technology (SRT) session: [E79-10023] pO049 N79-13434 Australia — by aerial photography pOO04 A79-17889 Prediction of wheat phonological development, a Project SUDAM: Use of LANDSAT data to study the state-of-the-art review p0014 N79-14490 impact of agricultural projects in the Amazon Full coverage at large scale --- under-cloud aerial USDA Application Test System (ATS) session: ATS [E79-10O60] pOOlO N79-13467 photography for monitoring forest disease experience to date and future plans — United States of Application of LANDSAT in the evaluation of argicultural pOOO4 A79-17890 America, U.S.S.R.. and Canada pOOIS N79-14497 and forest resources — Brazil and Amazon Region Detection of a crown dieback in Australian eucarypt AGMOMETEOROLOGY [E79-10088] pOOl6 N79-15366 forests on large-scale aerial photographs Food information systems - Growing conditions AMPLIFICATION pO004 A79-17891 pOOO2 A79-12504 Large Area Crop Inventory Experiment (LACIE). Remote sensing of vegetation damage to assess the AIM POLLUTION LANDSAT 3X gain study — Kansas. Texas, and Imperial effectiveness of prescribed burning in Australia Particulate pollutants - Real-time tracking and monitoring Valley. California pOOO6 A79-17903 of their cloud nucleation characteristics [E79-10O59] pOOlO N79-13466 Large Area Crop Inventory Experiment (LACIE). Test p0042 A79-15048 ANIK 1 and evaluation plan for KSU and CCEA phase 3 yield models Monitoring vegetation changes in a large impacted A developmental program of satellite data collection --- India. China. U.S.S.R.. Canada. Argentina. Australia. wetland using quantitative field data and quantitative remote DO038 A79-18951 North Dakota, and Great Plains sensiny data p0019 A 79-15051 ANTARCTIC REGIONS [E79-10O49} pOOO9 N79-13456 Evaluation of instruments and measurement strategies Icebergs for use as fresh water Large Area Crop Inventory Experiment (LACIE). Detecting for airborne remote sensing of regional air pollution [PB 285664/9) pOO35 N79-13485 and monitoring agricultural vegetative water stress over measurement requirements pOO42 A79-15083 APOLLO SOYUZ TEST PROJECT large areas using LANDSAT digital data — Great Plains Earth observations and photography experiment: Aircraft instrumentation system for the remote sensing [E79-10063] pOOlO N79-13470 Summary of significant results of carbon monoxide p0042 A79-15090 The status of existing global crop forecasting —- United [NASA-CR-157780] pOO43 N79-10498 States of America. U.S.S.R.. Canada, Brazil. Australia. Detecting the effects of sulfur dioxide emissions on APPALACHIAN MOUNTAINS (NORTH AMERICA) Sweden, and Kenya p0012 N79-14450 vegetation by remote sensing pOOOS A79-17897 Landsat geologic reconnaissance of the Washington, D.C. Applications of remote sensing to .vegetation injury area westward to the Appalachian Plateau System implementation and operations session: The caused by air pollution pOOO6 A79-17904 pO025 A79-11763 LACIE Application Evaluation System (AES). a design Remote sensing applied to environmental pollution ARCTIC REGIONS overview P0013 N79-14465 detection and management. A bibliography with Mineral precipitation in north slope aufeis Experiment results session: Accuracy and performance abstracts [NASA-TM-79642] pO026 N79-10502 of LACIE yield estimates — Great Plains. North Dakota. [NTIS/PS-78/0789/4] p0019 N79-10505 ARGENTINA Montana. Oklahoma, Texas, Kansas. Colorado, Nebraska. AIM WATER INTERACTIONS Large Area Crop Inventory Experiment (LACIE). Test South Dakota. Minnesota. Canada. Australia. Brazil. India, Application of LAND SAT satellite imagery and and evaluation plan for KSU and CCEA phase 3 yield models and U.S.S.R. p0014 N79-14483 oceanographic data for verification of an upwellmg --- India. China. U.S.S.R.. Canada. Argentina. Australia. mathematical model --- Atlantic Coast of Brazil North Dakota, and Great Plains [E79-10026] pO031 N79-13437 [E79-10O49] pOO09 N79-13456 B AIRBORNE EQUIPMENT System implementation and operations session: The LACIE Application Evaluation System (AES). a design Bean area estimates from Landsat and airborne remote BACK SCATTERING sensing data pO002 A79-11659 overview pO013 N79-14465 Experiment results session: Accuracy and performance Active microwave sensing of the earth's surface - A mini Role of the USAF AN/AAD-5 Infrared Reconnaissance of LACJE yield estimates *-- Great Plains. North Dakota, review p0042 A79-15464 Set in pollution detection and fuel conservation Montana, Oklahoma. Texas. Kansas. Colorado, Nebraska, BADLANDS pO041 A79-12088 South Dakota. Minnesota, Canada. Australia. Brazil, India, Experiment results session: Accuracy and performance Evaluation of instruments and measurement strategies and U.S.S.R. p0014 N79-14483 of LACIE yield estimates --- Great Plains. North Dakota. for airborne remote sensing of regional air pollution ARID LANDS Montana. Oklahoma. Texas, Kansas. Colorado. Nebraska. measurement requirements pOO42 A79-15083 Dryland pasture and crop conditions as seen by HCMM South Dakota, Minnesota. Canada. Australia. Brazil. India, Aircraft instrumentation system for the remote sensing — Oklahoma and U.S.S.R. pO014 N79-14483 of carbon monoxide pOO42 A79-15090 [E79-10079] pO016 N79-15358 BALTIC SEA Marine monitoring of natural oil slicks and man made ARIZONA Interdisciplinary application of the 'DIBIAS' digital image wastes utilizing an airborne imaging Fraunhofer line Interactive digital image processing of Landsat data for processing system to geological and maritime problems discriminator pOO42 A79-15104 geologic analysis pOO25 A79-14180 p0038 A79-14181 A-2 SUBJECT INDEX CATALOGS (PUBLICATIONS)

BARREN LAND The application of remote sensors in the interpretation Symposium on Remote Sensing for Vegetation Damage Bolivian program of satellite technology of earth of LANDSAT data for regional geological mapping in the Assessment, Seattle, Wash.. February 14-16. 1978. resources, ERTS central portion of Minas Gerais Proceedings pOOO3 A79-17876 [E79-10036] p0049 N79-13443 [E79-10039J p0027 N79-13446 Remote analysis of forest tree mortality in California BASE FLOW Protect SUDAM: Use of LANDSAT data to study the pOOOS A79-17894 On the nature of base flow and groundwater occurrences impact of agricultural projects in the Amazon The digital use of LANDSAT data for integrated land in the Serayu River basin p0034 A79-19895 [E79-10060] p0010 N79-13467 resource survey: A study in the Eastern Mojave Desert. BAYS (TOPOGRAPHIC FEATURES) INPE remote sensing program --- Brazil California p0019 N79-12519 Application of the remote sensing of sea color for the [E79-10061] p0049 N79-13468 The status of existing global crop forecasting --- United A scene-analysts approach to remote sensing — San study °f marine suspensions p0029 A79-13384 Francisco. California States of America. U.S.S.R.. Canada. Brazil, Australia, Land use survey and mapping and water resources Sweden, and Kenya p0012 N79-14450 [E79-10O291 pOO22 N79-13438 investigation in Korea System implementation and operations session: The Large Area Crop Inventory Experiment (LACIE). [E79-10003] p0035 N79-13425 LACIE Application Evaluation System (AES), a design LANDSAT 3X gain study --- Kansas. Texas, and Imperial BEDROCK overview p0013 N79-14465 Valley, California Mineral precipitation in north slope aufeis Experiment results session: Accuracy and performance [E79-10059] pOOlO N79-13466 [NASA-TM-79642] p0026 N79-10502 of LACIE yield estimates — Great Plains. North Dakota, Nationwide forestry applications program. A literature BEETLES Montana, Oklahoma, Texas, Kansas, Colorado. Nebraska. review of major remote sensing projects mapping forest The application of digital terrain model and space South Dakota, Minnesota. Canada. Australia. Brazil. India. land in the United States, using satellite data and automatic resection techniques to digitizing the position of southern and U.S.S.R. p0014 N79-14483 data processing pine beetle infestations delineated on large scale aerial Application of LANDSAT images in the Minas Gerais (E79-10072) p0016 N79-15351 photographs pOQ04 A79-17884 tectonic division Application of remote sensing to selected problems within Multiphase airphoto assessment for annual losses caused [NASA-TM-75584] p0027 N79-14501 the state of California by the mountain pine beetle in lodgepole pine Trie application of remote sensors to a model for fish [E79-10075] pOOSO N79-15354 pOOOS A79-17895 mapping An integrated study of earth resources in the state of BIBLIOGRAPHIES [INPE-1379-PE/176] p0031 N79-14712 California using remote sensing techniques Remote sensing applied to environmental pollution Utilization of orbital data from LANDSAT 1 in the [E79-10082] p0050 N79-15361 detection and management. A bibliography with classification of urban land usage of the Sao Jose CANADA abstracts grassland Applications of remote sensing from space in Canada [NTIS/PS-78/0789/4] p0019 N79-10505 [E79-10085] p0020 N79-15363 [IAF PAPER 78-1 17] pOO47 A79-1 1255 LANDSAT and environmental impact in the Paraiba Valley Remote sensing applied to urban and regional planning. Remote sensing oceanographic and terrestrial information of Sao Paulo A bibliography with abstracts systems pOO29 A79-1 1379 [NTIS/PS-78/0790/2] - p0019 N79-10506 (E79-10086) p0020 N79-15364 Application of LANDSAT in the evaluation of argicultural Bean area estimates from Landsat and airborne remote Remote sensing applied to geology and mineralogy. A sensing data pOO02 A79-11659 bibliography with abstracts and forest resources — Brazil and Amazon Region [E79-10088] pO016 N79-15366 Interpretation of satellite and aircraft imagery for [NTIS/PS-78/0791 /O] p0026 N79-10507 BRIGHTNESS TEMPERATURE planning/design and management of marine parks and A selective bibliography: Remote sensing applications The correlation of Skylab L-band brightness temperatures reserves pOO17 A79-11754 in land use and land cover inventory tasks with antecedent precipitation p0044 N79-14443 Large Area Crop Inventory Experiment (LACIE). LACIE [PB-283027/1] p0019 N79-10509 BRUSH (BOTANY) phase 3 accuracy assessment plan Remote sensing of agricultural resources. A bibliography Application of remote sensing to selected problems within [E79-10O44] pOO09 N79-13451 with abstracts the state of California Large Area Crop Inventory Experiment (LACIE). Test INT1S/PS-78/0969/2) pOOO7 N79-12536 IE79-10075] pOOSO N79-15354 and evaluation plan for KSU and CCEA phase 3 yield models A selected bibliography: Remote sensing applications BUDGETING --- India. China. U.S.S.R., Canada. Argentina. Australia. for tropical and subtropical vegetation analysis USDA Application Test System (ATS) session: Resource North Dakota, and Great Plains [PB-284683/0] p0007 N79-12539 modelling, a reality for program cost analysis (E79-10049] p0009 N79-13456 BIOLOGICAL EFFECTS p0015 N79-14498 Independent Peer Evaluation of the Large Area Crop Biological water quality monitoring from remote stations Inventory Experiment (LACIE): The LACIE Symposium and NASA GOES satellite p0034 A79-15131 [E79-10O09] pOOII N79-14430 BIOSPHERE An independent evaluation by the plenary peer review Development of a pollutant monitoring system for team — United States of America, U.S.S.R.. and Canada biosphere reserves and results of the Great Smoky CADASTRAL MAPPING pOO11 N79-14431 Mountains pilot study p0019 A79-15082 Interrelation between photogrammetry and remote Findings of the experiment results peer group --- United BLACK AND WHITE PHOTOGRAPHY sensing cadastral localizing of cultivation inventory, obtained States of America. U.S S.R.. and Canada Texture-tone analysis for automated land-use mapping by remote sensing p0003 A79-14159 pOOII N79-14432 p0037 A79-13795 CALCIUM CARBONATES Proceedings of Plenary Session: The LACIE BOLIVIA Mineral precipitation in north slope aufeis Symposium Bolivian program of satellite technology of earth [NASA-TM-79642] p0026 N79-10502 [E79-10O28] pOOII N79-14449 resources, ERTS CALENDARS The status of existing global crop forecasting — United [E79-10036] P0049 N79-13443 Large Area Crop Inventory Experiment (LACIE). LACIE States of America, U.S.S.R.. Canada, Brazil. Australia. BOUNDARY LAYERS transition year operations plan Sweden, and Kenya pOO12 N79-14450 Rectification of a whole-sky photograph as a tool for [E79-10042] pOO09 N79-13449 System implementation and operations session: The determining spatial positioning of cumulus clouds •-- Urge Area Crop Inventory Experiment (LACIE). Phase LACIE Application Evaluation System (AES), a design Oklahoma p0045 N79-14446 1 accuracy assessment plan overview p0013 N79-14465 BRAZIL [E79-10046] P0009 N79-13453 Briefing Materials for Technical Presentations. Volume SLAR for forest type-classification in a semi-deciduous Large Area Crop Inventory Experiment (LACIE). LACIE B: The LACIE Symposium tropical region pOOO6 A79-19891 crop calendar test and evaluation plan [E79-10O31] pOO13 N79-14480 Remote sensing applied to prospecting of thermomineral [E79-10058] p0010 N79-13465 Experiment results session: LACIE crop years, an water in the county of Caldas Novas-Goias Independent Peer Evaluation of the Large Area Crop assessment of crop conditions --- Great Plains. U.S.S.R.. [NASA-TM-75583] p0026 N79-10501 Inventory Experiment (LACIE): The LACIE Symposium and Canada pOO14 N79-14481 Preliminary geological precambrian map of Piaui (E79-10009] p0011 N79-14430 Experiment results session: Accuracy and performance [INPE-H46-PE/099] p0026 N79-11450 Findings of the LACIE supporting research peer group of LACIE estimates --- Minnesota, Oklahoma. North Dakota. Coverage behavior of ERDSAT for some selected areas pOOIt N79-14437 Gteat Plains. Canada, and U.S.S.R. pOO14 N79-14482 of the earth's surface LACIE applications evaluation system: A design Experiment results session: Accuracy and performance (ESA-TT-494] p0043 N79-11458 overview pOOl2 N79-14452 of LACIE yield estimates --- Great Plains. North Dakota. Project Gondwana: Jugaribe-SB-24 Experiment design session: Growth stage estimation Montana. Oklahoma. Texas. Kansas, Colorado. Nebraska. [E79-10013] p0027 N79-12528 — South Dakota and Kansas pOO12 N79-14461 South Dakota. Minnesota. Canada. Australia. Brazil. India, Remote sensing applied to surveying the thermomineral System implementation and operations session: The and U.S.S.R. p0014 N79-14483 water region of Caldas Novas, Goias LACIE Application Evaluation System (AES), a design Experiment results session: Accuracy and performance (E79-10014] p0027 N79-12529 overview p0013 N79-14465 of LACIE crop development models --- Texas, Oklahoma. Statistical separability and classification of land use System implementation and operations session: Kansas. Nebraska. North Dakota. South Dakota, Montana, classes using image-100 — Brazil Implementation and operation of yield forecasting and crop and Minnesota p0014 N79-14484 [E79-10022] p0039 N79-12533 growth stage estimation --- Montana. North Dakota, South Supporting Research and Technology (SRT) session: Project Rondonia Dakota. Nebraska, and Wyoming pOOl3 N79-14468 Prediction of wheat phonological development, a [E79-10012] P0039 N79-13429 Experiment results session: Accuracy and performance state-of-the-art review p0014 N79-14490 Population and growth estimates of urban areas in the of LACIE crop development models --- Texas, Oklahoma, USOA Application Test System (ATS) session: ATS state of Sao Paulo utilizing LAND SAT images Kansas, Nebraska, North Dakota, South Dakota. Montana, experience to date and future plans •-- United States of [E79-10015] p0020 N79-13430 and Minnesota pOO14 N79-14484 America, U.S.S.R.. and Canada p0015 N79-14497 Deforestation planning for cattle grazing in Amazon Basin Large Area Crop Inventory Experiment (LACIE). Level Large Area Crop Inventory Experiment (LACIE). using LAND SAT data 3 baseline; Classification And Mensuration Subsystem Yield-weather regression models for the Canadian prairies [E79-10018] pOOOS N79-13431 (CAMS) requirements, volume 2, revision E --- Alberta. Saskatchewan, and Manitoba Evaluation of reforested areas using LAND SAT imagery [E79-10070] pOOlS N79-15349 [E79-10O71] p0016 N79-15350 [E79-10019] pOOOS N79-13432 CALIFORNIA CARBON MONOXIDE Utilization of LANDSAT images for geological Aircraft instrumentation system for the remote sensing Improvement of earth resource inventories utilizing investigation in the central portion of Minas Gerais of carbon monoxide p0042 A79-15090 remotely sensed data /sampling and remote sensing/ (E79-10020] p0027 N79-13433 CATALOGS p0001 A79-11382 Overview of Brazilian remote sensing activities --- LANDSAT 2 world standard catalog. 1-30 November Amazon Region Multidate/multispectrat crop identification - Digital 1978 [E79-1Q023] p0049 N79-13434 techniques applied to high altitude photography and Landsat [NASA-TM-79899] pOO40 N79-15383 Comparison of feature selection techniques for earth imagery pOO02 A79-11660 CATALOGS (PUBLICATIONS) resources data Discrimination of geologic units in Death Valley using LANDSAT 2 world standard catalog. 1-31 October [E79-10025] pOOOS N79-13436 dual frequency and polarization imaging radar data 1978 Application of LANDSAT satellite imagery and p0025 A79-11857 [NASA-TM-79900] pOO40 N79-15381 oceanoflraphic data for verification of an upweUing Marine monitoring of natural oil slicks and. man made LANDSAT 3 world standard catalog, 1-30 November mathematical model --- Atlantic Coast of Brazil wastes utilizing an airborne imaging Fraunhofer line 1978 IE79-10026] P0031 N79-13437 discriminator p0042 A79-15104 [NASA-TM-80018] pOO40 N79-15382 A-3 CENTRAL ATLANTIC REGION (US) SUBJECT INDEX

CENTRAL ATLANTIC REGION (US) COASTAL WATER CONFERENCES The nation's water resources, the second national water Application of space remote sensing technology to living Conference on the Economics of Remote Sensing assessment. Part 5: Regional assessment summaries marine resources in coastal zones Information Systems. 1st, San Jose State University, San IPB-285751/4J p0036 N79-14516 IlAF PAPER 78-110] p0029 A79-11248 Jose. Calif.. January 19-21. 1977. Proceedings CHAD Sea surface temperature distributions obtained off San p0047 A79-11376 Classification of rocks on the basis of signatures and Diego. California, using an airborne infrared radiometer American Society of Photogrammetry, Fall Technical texture-measures from Landsat imagery [PB-284736/6] pO030 N79-11647 Meeting. Little Rock. Ark.. October 18-21. 1977, pO025 A79-14157 Proceedings p0037 A79-11657 Coastal zone and open ocean observations from NOAA CHEMICAL COMPOSITION American Society of Photogrammetry. Annual Meeting. satellite very high resolution radiometers Estimation of the soil composition by IB observation of 44th. Washington,' D.C., February 26-March 4, 1978, (PB-284445/4] p0031 N79-11648 the earth by satellites Proceedings p0037 A79-11751 [IAF PAPER 78-126] pO025 A79-11260 The application of remote sensors to a model for fish The contribution of space observations to global food CHINA mapping information systems; Proceedings of the W. Nordberg Large Area Crop Inventory Experiment (LACIE). Test [INPE-1379-PE/176] p0031 N79-14712 Memorial Symposium. Tel Aviv. Israel. June 7-18. 1977 and evaluation plan for KSU and CCEA phase 3 yield models COASTS p0048 A79-12502 — India, China. U.S.S.R.. Canada. Argentina. Australia. 'Smart' remote sensor needs for U.S. Coast Guard ocean Image processing - Interactions with photogrammetry North Dakota, and Great Plains environment missions and remote sensing: Proceedings of the International [E79-10049] p0009 N79-13456 (AIAA PAPER 78-1721] p0030 A79-13837 Symposium. Technische Universitaet Graz. Graz. Austria. October 3-5. 1977 . p0037 A79-14151 CHLOROPHYLLS Commercial fishing port development in north Florida Joint Conference on Sensing of Environmental Pollutants. Laboratory studies of in vivo fluorescence of -— Escambia, Bay, Gulf. Franklin. Wakulla. Nassau, and 4th, New Orleans, La., November 6-11, 1977, phytoplankton pO030 A79-15119 Duval Counties Proceedings pOOIS A79-15023 Application of remote sensing to trie estimation of (E79-10078) p0031 N79-15357 Space Shuttle and Spacelab utilization: Near-term and chlorophyll in ocean water COLOR PHOTOGRAPHY long-term benefits for mankind; Proceedings of the [INPE-1380-PE/177] p003l N79-14699 Quantifying gypsy moth defoliation pOO02 A79-13794 Twenty-fourth Annual Meeting and Sixteenth Godda/d CIRRUS CLOUDS Use of color infrared aerial photography for documenting Memorial Symposium. Washington, D.C.. March 8-10, Derived water temperatures using S191 and S192 data baseline vegetation stress in environmental impact 1978. Parts 1 & 2 pOO49 A79-17076 — Oklahoma and Texas pO044 N79-14440 assessment pOO05 A79-17896 Symposium on Remote Sensing for Vegetation Damage Rectification of a whole-sky photograph as a toof for COLORADO Assessment, Seattle. Wash., February 14-16. 1978. determining spatial positioning of cumulus clouds ••- Trophic classification of Colorado lakes utilizing contact Proceedings p0003 A79-17876 Oklahoma p0045 N79-14446 data. Landsat and aircraft-acquired multispectral scanner Independent Peer Evaluation of the Large Area Crop CITIES data p0034 A79-15132 Inventory Experiment (LACIE): The LACIE Symposium (679-10009] p0011 N79-14430 Utilization of orbital data from LANDSAT 1 in the Large Area Crop Inventory Experiment (LACIE). Effects Proceedings of Plenary Session: The LACIE classification of urban land usage of the Sao Jose of non-response including cloud cover on aggregation of Symposium grassland wheat area in the US Great Plains — Colorado. Kansas. [E79-10028] pOOll N79-14449 [E79-10085J p0020 N79-15363 Nebraska, Oklahoma, and Texas Briefing Materials for Technical Presentations. Volume CLASSIFICATIONS [E79-10057] pO010 N79-13464 Feature selection and sample classification algorithms A: The LACIE Symposium LACIE transition project, FY 1978-1979: Reanalysis [E79-10030] p0012 N79-14458 of INPE of CCEA 1 US Great Plains wheat yield models — Texas, [INPE-1120-PE/088J pO039 N79-1O812 Briefing Materials for Technical Presentations. Volume Oklahoma, Colorado. Kansas, North Dakota. South Dakota. B: The LACIE Symposium The digital use of LANDSAT data for integrated land Minnesota,'Nebraska Montana, Badlands, and Red River [E79-10031] OO13 N79-14480 resource survey: A study in the Eastern Mojave Desert. P Valley CONIFERS California p0019 N79-12519 [E79-10062] pOOlO N79-13469 The effect of canopy composition on the measured and Comparison of feature selection techniques for earth Experiment results session: Accuracy and performance calculated reflectance of conifer forests in Michigan resources data of LACIE yield estimates — Great Plains. North Dakota, pOO03 A79-17881 [E79-10025] pOOOS N79-13436 Montana. Oklahoma. Texas. Kansas. Colorado. Nebraska, A comparative test of unrestricted, stratified, two-phase Large Area Crop Inventory Experiment {LACIE). Level South Dakota. Minnesota, Canada, Australia, Brazil, India, and two-stage PPS timber volume sampling using an 3 baseline; Classification And Mensuration Subsystem and U.S.S.R. p0014 N79-14483 orthophoto mosaic — Probability Proportional to Size (CAMS) requirements, volume 2, revision E Supporting Research and Technology (SRT) session: pOO06 A79-19893 [E79-10070] pOOIS N79-15349 Status of yield estimation technology, a review of CORN Analysis of principal component transformed LANDSAT second-generation model development — North Dakota, An example of the economic interest in remote sensing data -— Marion, Dickinson, and Morton Counties, Kansas Montana. Minnesota, Kansas, South Dakota, Nebraska, - Forecasting of maize crops (E79-1O076] p0040 N79-15355 Colorado, Texas. Oklahoma, and U.S.S.R. (lAF PAPER 78-116] pOOOl A79-11254 CLIMATOLOGY pO014 N79-14489 A comprehensive data processing plan for crop calendar Findings of the experiment results peer group --- United Supporting Research and Technology (SRT) session: New MSS signature development from satellite imagery: Crop States of America, U.S.S.R., and Canada developments in sampling and aggregation for remotely identification using vegetation phenology pOOll N79-14432 sensed surveys — Texas, Kansas. Nebraska, Oklahoma, [E79-10001] p0007 N79-13424 Supporting Research and Technology (SRT) session: New Minnesota, South Dakota. Colorado, and U.S.S.R. USDA Application Test System (ATS) session: developments in sampling and aggregation for remotely p0014 N79-14491 Technology transfer; concepts, user requirements, and their sensed surveys -— Texas, Kansas. Nebraska. Oklahoma, Nationwide forestry applications program. A literature practical application --- Montana, North Dakota, and Minnesota, South Dakota, Colorado, and U.S.S.R. review of major remote sensing projects mapping forest U.S.S.R. p0014 N79-14492 pO014 N79-14491 land in the United States, using satellite data and automatic USDA Application Test System (ATS) session: The CLOUD COVER data processing application test system, an approach for technology transfer Large Area Crop Inventory Experiment (LACIE). Effects [E79-1O072] p0016 N79-15351 — Montana. North Dakota, and U.S.S.R. of non-response including cloud cover on aggregation of COLORIMETRY pOOIS N79-14493 wheat area in the US Great Plains — Colorado. Kansas, Generation of uniform chromaticity scale imagery from Remote sensing applications to resource problems in Nebraska, Oklahoma, and Texas LANDSAT data South Dakota |E79 1O057] pOOlO N79-13464 [E79-10033] p0039 N79-13440 [E79-10089] p0016 N79-15367 CLOUD PHYSICS COMMERCE COSMONAUTS Paniculate pollutants - Real-time tracking and monitoring Experiment results session: Economic evaluation; Ocean observation from space p0031 N79-13995 of their cloud nucleation characteristics concepts, selected studies, system cost, and a proposed COST ANALYSIS pO042 A79-15048 program p0014 N79-14485 Michigan resource inventories - Characteristics and costs CLOUDS COMPUTER PROGRAMS of selected projects using high altitude color infrared Large Area Crop Inventory Experiment(LACIE). Detection Multidate data extraction procedures for a statewide imagery P0037 A79-11384 of episodic phenomena on LANDSAT imagery --• Kansas Landsat lake quality monitoring program Cost benefit assessment of NASA remote sensing [E79-10055] pOOtO N79-13462 p0033 A79-11757 technology transferred to the State of Georgia CLOUDS {METEOROLOGY} The coverage field of earth observation satellites at the pOO48 A 79-16554 Severe storm environments: A Skylab EREP report earth's surface. Description of the computer program Data processing systems design session: Some cost [E79 1O027) pO044 N79-14438 COFI performance characteristics of several data system Severe storm cloud-top characteristics --- Gulf of Mexico [ESA-TT-487] pO022 N79-11457 configurations for processing remotely sensed data and Borneo P0045 N79-14447 USDA Application Test System (ATS) session: Resource pOCWO N79-14478 CLUMPS modelling, a reality for program cost analysis USDA Application Test System (ATS) session: Resource Test and evaluation of principal component cluster images pOOIS N79-14498 modelling, a reality for program cost analysis in LACIE COMPUTER SYSTEMS DESIGN pOOIS N79-14498 [E79 1O077] PO016 N79-15356 USDA Application Test System (ATS) session: Functional COST EFFECTIVENESS COAL definition and design of a USDA system Conference on the Economics of Remote Sensing Application of multispectral scanner data to the study pO015 N79-14494 Information Systems. Is:, San Jose State University. San of an abandoned surface coal mine USDA Application Tesl System (ATS) session: ATS, Jose. Calif.. January 19-21, 1977. Proceedings [NASA-TM-78912] pO027 N79-13472 technical approach and system design p0047 A79-11376 Remote monitoring of coal strip mine rehabilitation pO015 N79-14495 The value of improved global crop information - An [PB-286647/3] p0027 N79-15379 COMPUTER TECHNIQUES empirical approach to Landsat benefits COASTAL ECOLOGY Computer-aided analysis of tandsat data for surveying pOOOT A79-II377 Multispectral classification on tidal lands Texas coastal zone environments p0038 A79-14168 Improvement of earth resource inventories utilizing pO030 A79-14158 Digital terrain models - An overview remotely sensed data /sampling and remote sensing/ Physical management of coastal floodplains: Guidelines P002l A79-18193 pOOOl A79-11382 for hazards and ecosystems management Applications of DTM in the Forest Service — Digital Economic analysis in the Pacific Northwest Land [PB-284164/1] pO035 N79-12534 Terrain Information System pOO06 A79-18197 Resources Project - Theoretical considerations and COASTAL PLAINS A conspectus of computer aided and air-photo preliminary results pOO47 A79-11383 Mineral precipitation in north slope aufeis interpretation techniques for the study of Landsat imagery A comparison of photointerpretive and digital production [NASA-TM-79642] pO026 N79-10502 p0038 A79-18868 methods for four key remote sensing-based information Physical management of coastal floodplains: Guidelines COMPUTERIZED SIMULATION products pO037 A79-11385 for hazards and ecosystems management Mapping ocean tides with satellites - A computer The cost-effectiveness of operational remote sensing [PB-284164/1J pO035 N79-12534 simulation pOO38 A79-18324 technology - A comparative analysis p0047 A79-11386 A 4 SUBJECT INDEX DATA ACQUISITION

Experiment results session: Economic evaluation; Multidate/multispectral crop identification - Digital LACIE applications evaluation system: A design concepts, selected studies, system cost, and a proposed techniques applied to high altitude photography and Landsat overview pO012 N79-14452 program p0014 N79-14485 imagery pOO02 A79-11660 The LACIE supporting research program: A focused CROP GROWTH Sensor needs for agricultural applications approach to research and development An example of the economic interest in remote sensing [AIAA PAPER 78-1745] pOOO2 A79-13852 p0012 N79-14453 • Forecasting of maize crops A branched classification system applied to special The outlook for satellite remote sensing for crop |IAF PAPER 78-116] pOOOl A79-11254 problems in multispectral data analysis — for crop inventory pOOl2 N79-14457 identification pOO03 A79-14176 Food information systems • Growing conditions Briefing Materials for Technical Presentations, Volume Separability of agricultural cover types in spectral p0002 A79-12504 A: The LACIE Symposium channels and wavelength regions A comprehensive data processing plan for crop calendar [E79-1O030] p0012 N79-14458 [NASA-CR-157803] pOO06 N79-1 1451 MSS signature development from satellite imagery: Crop Remote sensing of agricultural resources. A bibliography Experiment design session: , Experiment design identification using vegetation phenology with abstracts overview p0012 N79-14459 [E79-10001J p0007 N79-13424 [NTIS/PS-78/0969/2] p0007 N79-12536 Experiment design session: Sampling and aggregation HCMM Heat Capacity Mapping Mission A comprehensive data processing plan for crop calendar in LACIE pO012 N79-14460 [E79-10007J pOOOS N79-13428 MSS signature development from satellite imagery: Crop Experiment design session: Wheat yield model Large Area Crop Inventory Experiment {LACIE}. LACIE identification using vegetation phenology development --- Oklahoma. North Dakota, and Kansas phase 3 interim accuracy assessment plan [E79-10001] p0007 N79-13424 p0012 N79-14462 [E79-10043] pOOOS N79-13450 Generation of uniform chromaticity scale imagery from Experiment design session: Classification and Large Area Crop Inventory Experiment (LACIE). LACIE LANDSAT data mensuration approach — Montana pO012 N79-14463 phase 3 accuracy assessment plan [E79-10033] p0039 N79-13440 System implementation and operations session: The [E79-10044J pOOOS N79-13451 Analysis of scanner data for crop inventories --- Kansas LACIE Application Evaluation System (AES). a design Large Area Crop Inventory Experiment (LACIE). LACIE and North Dakota overview pO013 N79-14465 integrated drought plan — Great Plains [E79-10037] pOOOS N79-13444 System implementation and operations session: [E79-10045] p0009 N79-13452 Independent Peer Evaluation of the Large Area Crop Acquisition and preprocessing of LANDSAT data Large Area Crop Inventory Experiment (LACIE). Phase Inventory Experiment (LACIE): The LACIE Symposium p0013 N79-14466 1 accuracy assessment plan [E79-10009] p0011 N79-14430 Data processing systems design session: Data processing [E79-10046] p0009 N79-13453 An independent evaluation by the plenary peer review systems overview pOO13 N79-14472 team — United States of America. U.S.S.R.. and Canada Data processing systems design session: Equipment Large Area Crop Inventory Experiment (LACIE). Level p0011 N79-14431 selection criteria for R and D image processing 3 baseline: LACIE Information Evaluation (IE) Findings of the LACIE supporting research peer group p0040 N79-14479 implementation/operations plan pOOll N79-14437 Experiment results session: LACIE crop years, an [E79-10047] p0009 N79-13454 Briefing Materials for Technical Presentations, Volume assessment of crop conditions — Great Plains, U.S.S.R.. Large Area Crop Inventory Experiment (LACIE).' Test A: The LACIE Symposium and Canada pO014 N79-14481 and evaluation plan for KSU and CCEA phase 3 yield models [E79-10030J p0012 N79-14458 Experiment results session: Accuracy and performance — India. China, U.S.S.R.. Canada, Argentina. Australia. System implementation and operations session: of LACIE estimates --- Minnesota, Oklahoma. North Dakota. North Dakota, and Great Plains Classification and mensuration, an approach to LANDSAT Great Plains. Canada, and U.S.S.R. p0014 N79-14482 [E79-10049] pOOOS N79-13456 data analysis for crop identification -•- U.S.S.R.. Kansas, Experiment results session: Accuracy and performance Large Area Crop Inventory Experiment (LACIE). North Dakota, and Montana p0013 N79-14467 of LACIE yield estimates — Great Plains, North Dakota. LAND SAT 3X gain study — Kansas, Texas, and Imperial Data processing systems design session: The Montana. Oklahoma, Texas, Kansas, Colorado, Nebraska. Valley. California cartographic laboratory --- Wilkin County. Minnesota South Dakota, Minnesota, Canada, Australia, Brazil, India, [E79-10059] pO010 N79-13466 p0013 N79-14477 and U.S.S.R. pO014 N79-14483 1NPE remote sensing program --- Brazil Experiment results session: Accuracy and performance Experiment results session: Accuracy and performance [E79-10061] p0049 N79-13468 of LACIE estimates — Minnesota. Oklahoma, North Dakota, of LACIE crop development models --- Texas, Oklahoma, Large Area Crop Inventory Experiment (LACIE). Detecting Great Plains. Canada, and U.S.S.R. p0014 N79 14482 Kansas, Nebraska. North Dakota. South Dakota. Montana, and monitoring agricultural vegetative water stress over Supporting Research and Technology (SRT) session: and Minnesota p0014 N79-14484 large areas using LAND SAT digital data — Great Plains Supporting research, a focused approach to research Experiment results session: Economic evaluation: [679-10063] p0010 N79-13470 development p0014 N7 9 14486 concepts, selected studies, system cost, and a proposed Proceedings of Plenary Session: The LACIE Supporting Research and Technology (SRT) session: program p0014 N79-14485 Symposium Methods for segment wheat area estimation Supporting Research and Technology (SRT) session: (E79-10028] pOOll N79-14449 pOO14 N79-14487 Methods for segment wheat area estimation The status of existing global crop forecasting — United Supporting Research and Technology (SRT) session: p0014 N79-14487 States of America. U.S.S.R., Canada. Brazil, Australia, Manual identification of crop types p0014 N79-14488 Supporting Research and Technology (SRT) session: New Sweden, and Kenya pOO12 N79-14450 Large Area Crop Inventory Experiment (LACIE). Review developments in sampling and aggregation for remotely The LACIE supporting research program: A focused of LACIE methodology, a project evaluation of technical sensed surveys --- Texas, Kansas, Nebraska, Oklahoma, approach to research and development acceptability Minnesota. South Dakota. Colorado, and U.S.S.R. p0012 N79-14453 [E79-10069] p0015 N79-15348 p0014 N79-14491 The outlook for satellite remote sensing for crop Application of LANDSAT in the evaluation of argicultural USDA Application Test System (ATS) session: inventory pO012 N79-14457 and forest resources -*- Brazil and Amazon Region Technology transfer; concepts, user requirements, and their Experiment design session: Growth stage estimation [E79-10088] p0016 N79-15366 practical application --- Montana. North Dakota, and — South Dakota and Kansas p0012 N79-14461 CROP INVENTORIES U.S.S.R pO014 N79-14492 Experiment design session: Accuracy assessment, the The value of improved global crop information - An USDA Application Test System (ATS) session: Data statistical approach to performance evaluation empirical approach to Landsat benefits base design for a worldwide muiticrop information system pO013 N79-14464 pOOOl A79-11377 — U.S.S.R. p0015 N79-14496 System implementation and operations session: Bean area estimates from Landsat and airborne remote Large Area Crop Inventory Experiment (LACIE). Level Implementation and operation of yield forecasting and crop sensing data p0002 A79-11659 3 baseline: Classification And Mensuration Subsystem growth stage estimation — Montana, North Dakota, South The contribution of space observations to global rood (CAMS) requirements, volume 2, revision E Dakota. Nebraska, and Wyoming p0013 N79-14468 information systems; Proceedings of the W. Nordberg (£79-10070) p0015 N79-15349 System implementation and operations session: System Memorial Symposium, Tel Aviv, Israel. June 7-18. 1977 The Large Area Crop Inventory Experiment (LACIE). An implementation and approaches used for generation of crop pOO48 A79-12502 application of remote sensing by multispectral scanners production reports p0013 N79-14469 Interrelation between photogrammetry and remote (E79-1009J) p0016 N79-15369 Briefing Materials for Technical Presentations, Volume sensing cadastral localizing of cultivation inventory, obtained CROP VIQOR B: The LACIE Symposium by remote sensing pOO03 A79-14159 Using reflectance and photography to detect ozone damage to cantaloupe plants pOO03 A79-17880 [E79-10031] p0013 N79-14480 Overview of Brazilian remote sensing activities — Recognition of patterns of damage in tall forests in Experiment results session: LACIE crop years, an Amazon Region Australia — by aerial photography pOOO4 A79-17889 assessment of crop conditions — Great Plains. U.S.S.R., [E79-10023] PO049 N79-13434 Detection of a crown dieback in Australian eucarypt and Canada p0014 N79-14481 Analysis of scanner data for crop inventories — Kansas Experiment results session: Accuracy and performance forests on large-scale aerial photographs and North Dakota pOO04 A79-17891 of LACIE crop development models — Texas, Oklahoma, [E79-10037] pOOOS N79-13444 Kansas, Nebraska, North Dakota, South Dakota, Montana, USDA Application Test System (ATS) session: ATS Independent Peer Evaluation of the Large Area Crop and Minnesota pO014 N79-14484 experience to date and future plans --- United States of Inventory Experiment (LACIE): The LACIE Symposium Supporting Research and Technology (SRT) session: America. U.S.S.R.. and Canada p0015 N79-14497 [E79-10O09] p0011 N79-14430 Supporting research, a focused approach to research CRUSTAL FRACTURE* development p0014 N79-14486 An independent evaluation by the plenary peer review Rupture) fabric of Yugoslavia on Landsat scanograms Supporting Research and Technology (SRT) session: team — United States of America. U.S.S.R.. and Canada [IAF PAPER 78-121] p0021 A79-11258 Status of yield estimation technology, a review of pOOll N79-14431 CUMULUt CLOUDS second-generation model development — North Dakota. Findings of the experiment results peer group --- United Rectification of a whole-sky photograph as a tool for Montana. Minnesota, Kansas, South Dakota, Nebraska. States of America. U.S.S.R.. and Canada determining spatial positioning of cumulus clouds --- Colorado, Texas, Oklahoma,' and U.S.S.R. pOOH N79-14432 Oklahoma pOO45 N79-14446 p0014 N79-14489 Findings of the experiment design peer group Supporting Research and Technology (SRT) session: pOOll N79-14433 Prediction of wheat phonological development, a Findings of the system implementation and operations state-of-the-art review p0014 N79-14490 peer group p0011 N79-14434 USDA Application Test System (ATS) session: Findings of the data processing systems design peer DAMS Technology transfer; concepts, user requirements, and their group pOOl'l N79-14435 Detection and mapping package. Analyst's guide: practical application --- Montana, North Dakota, and interpreting impounded surface water Findings of the USDA applications test system peer U.S.S.R. pO014 N79-14492 [E79-10067) 0036 N79-15347 group pOOll N79-14436 P USDA Application Test System (ATS) session. Data DATA ACQUISITION base design for a worldwide multicrop information system Proceedings of Plenary Session: The LACIE Techniques for acquiring earth resource data that will — U.S.S.R. pOOIS N79-14496 Symposium be acceptable and useful to program managers [E79-10028] P0011 N79-14449 USDA Application Test System (ATS) session: ATS [AIAA PAPER 78-1720] P0048 A79-13836 experience to date and future plans — United States of The status of existing global crop forecasting —- United Remote sensing program in earth resources — NASA America, U.S.S.R., and Canada pO015 N79-14497 States of America. U.S.S.R., Canada. Brazil. Australia. data systems p0048 A79-16187 CROP IDENTIFICATION Sweden, and Kenya pO012 N79-14450 Full coverage at large scale --- under-cloud aerial Bean area estimates from Landsat and airborne remote LACIE: An experiment in global crop forecasting --- photography for monitoring forest disease sensing data p0002 A79-11659 United States of America and U.S.S.R. p0012 N79-14451 p0004 A79-17890 A-5 DATA BASES SUBJECT INDEX

Mini-format remote sensing for civil engineering --- A comparative test of unrestricted, stratified, two-phase Detection and mapping of spruce budworm infestation hand-held stereophotography from small aircraft and two-stage PPS timber volume sampling using an in Northern Wisconsin using digital analysis of Landsat pOO43 A79-18575 orthophoto mosaic --- Probability Proportional to Size data PO004 A79-17886 DATA BASES p0006 A79-19893 Digital terrain models - An overview Independent Peer Evaluation of the Large Area Crop DATA SYSTEMS P0021 A79-18193 Inventory Experiment (LACIE): The LACIE Symposium Conference on the Economics of Remote Sensing DTM application in topographic mapping [E79-10009] p0011 N79-14430 Information Systems. 1st. San Jose State University. San pO021 A79-18194 Findings of the data processing systems design peer Jose. Calif.. January 19-21. 1977. Proceedings Production mapping with orthophoto digital terrain group pOOII N79-14435 p0047 A79-11376 models p0021 A79-18195 Findings of the USDA applications test system peer Remote sensing oceanographic and terrestrial information Experimental investigation into the accuracy of contouring group pOOII N79-14436 systems p0029 A79-11379 from DTM — digital terrain models p0021 A79-18196 USOA Application Test System (ATS) session: Data Applications of DTM in the Forest Service --- Digital Remote sensing program in earth resources --- NASA base design for a worldwide multicrop information system Terrain Information System pOO06 A79-18197 data systems p0048 A79-16187 — U.S.S.R. pOOIS N79-14496 The digital use of LANDSAT data for integrated land USDA Application Test System (ATS) session: ATS DECISION THEORY resource survey: A study in the Eastern Mojave Desert. experience to date and future plans --- United States of Experiment results session: Economic evaluation; California pOOIS N79-12519 America. U.S.S.R., and Canada p0015 N79-14497 concepts, selected studies, system cost, and a proposed DISEASES DATA COLLECTION PLATFORMS program p0014 N79-14485 The use of CIR aerial photography for Dutch elm disease A developmental program of satellite data collection DEFOLIATION detection — Color IR pOOO4 A79-17892 p0038 A79-18951 Quantifying gypsy moth defoliation p0002 A79-13794 DISPLAY DEVICES DATA COMPRESSION Microdensitometry to identify Douglas-fir tussock moth Holographic terrain displays p0037 A79-12036 Design and implementation of distortion-free defoliation on color IR aerial photos pO004 A79-17885 DISTRICT OF COLUMBIA compression techniques for LAND SAT data and television Detection and mapping of spruce budworm infestation A reduction in ag./residential signature conflict using images pO039 N79-13421 in Northern Wisconsin using digital analysis of Landsat principal components analysis of Landsat temporal data DATA CORRELATION data p0004 A79-17886 P0017 A79-11669 Large Area Crop Inventory Experiment (LACIE). LACIE Monitoring gypsy moth defoliation by applying change Landsat derived, land cover and imperviousness phase 3 interim accuracy assessment plan detection techniques to Landsat imagery categories for metropolitan Washington - An [E79-)OO43j pOOO9 N79-13450 p0004 A79-17887 urban/non-urban, computer approach pOQJS A79-11759 Large Area Crop Inventory Experiment (LACIE). Level Landsat geologic reconnaissance of the Washington, D.C. Remote sensing approach to identifying preferred 3 baseline: LACIE Information Evaluation (IE) area westward to the Appalachian Plateau Douglas-fir tussock moth /Orgyia pseudotsugata McD./ implementation/operations plan P0025 A79-11763 sites pOOOS A79-17893 IE79-10047) p0009 N79-13454 DOCUMENTATION DATA MANAGEMENT DEFORESTATION Large Area Crop Inventory Experiment (LACIE). Level Large Area Crop Inventory Experiment (LAO E). The use of LANDSAT data for the establishment, control 3 baseline; LACIE project documentation plan Implementation plan for operations coordination center and supervision of pasture projects in the southeast Amazon [E79 10054] pOO09 N79-13461 [E79-10050] p0009 N79-13457 region DRAINAGE Large Area Crop Inventory Experiment (LACIE). Level (E79-10016J p0007 N79-12530 The use of LANDSAT data for the establishment, control 3 baseline: LACIE project documentation plan Deforestation planning for cattle grazing in Amazon Basin and supervision of pasture projects in the southeast Amazon [E79-10054] pOO09 N79-13461 using LANDSAT data region DATA PROCESSING [E79-10018] pOOOS N79-13431 [E79-10016] pOO07 N79-12530 Mult id ate data extraction procedures for a statewide DELAWARE Land use survey and mapping and water resources Landsat lake quality monitoring program Quantitative mapping of paniculate iron in an ocean dump investigation in Korea p0033 A79-11757 using remotely sensed data p0029 A79-11766 [E79-10003] p0035 N79-13425 The role of 'Smart' sensors in earth resources remote DESERTS Deforestation planning for cattle grazing in Amazon Basin sensing programs Future applications of a satellite observation system for using LANDSAT data [AIAA PAPER 78-1717) p0041 A79-13834 the long-term monitoring of geodynamic processes [E79-10018] pOOOS N79-13431 A branched classification system applied to special [DGLR PAPER 78-147] pO018 A79-14O93 DRAINAGE PATTERNS problems in multtspectral data analysis —- for crop Vegetation damage surveying in India Preliminary runoff and streamflow predictions in the identification pOO03 A79-14176 pOOOS A79-17900 Humboldt River basin based on snow distribution Evaluation of multispectral scanner data by hybrid measurements from sequential satellite imagery Earth observations and photography experiment: methods pOO42 A79-14178 [PB-286122/7] pO036 N79-14518 Summary of significant results Digital terrain models - An overview Application of remote sensing to selected problems within [NASA-CR-157780) pO043 N79-10498 p0021 A79-18193 the state of California A comprehensive data processing plan for crop calendar Application of remote sensing to selected problems within [E79-10075] P0050 N79-15354 MSS signature development from satellite imagery: Crop the state of California The origin of surface lineaments in Nemaha County, identification using vegetation phenology (E79-10075) p0050 N79-15354 Kansas [E79-10001] p0007 N79-13424 DEVELOPING NATIONS IPB-287302/4] pOO23 N79-15394 Findings of the USDA applications test system peer Internationalization of remote sensing technology DROUGHT group pOOII N79-14436 p0047 A79-11662 Large Area Crop Inventory Experiment (LACIE). LACIE Data processing systems in support of LACIE and future DIGITAL DATA integrated drought plan — Great Plains agricultural research programs ' pO012 N 79-74454 A study of the potential of Landsat MSS digital data (E79-10045) POOO9 N79-13452 System implementation and operations session: for woodland census in Britain p0003 A79-17274 Large Area Crop Inventory Experiment (LACIE). Test Acquisition and preprocessing of LANDSAT data Large Area Crop Inventory Experiment (LACIE). Detecting and evaluation plan for KSU and CCEA phase 3 yield models p0013 N79-14466 and monitoring agricultural vegetative water stress over — India. China. U.S.S.R.. Canada. Argentina. Australia. Data processing systems design session: Data processing large areas using LANDSAT digital data — Great Plains North Dakota, and Great Plains systems overview pO013 N79-14472 [E79-10063) pOOlO N79-13470 [E79-10O49] pOO09 N79-13456 Data processing systems design session: Evolution of . DIGITAL FILTERS Large Area Crop Inventory Experiment (LACIE). Detecting the Earth Resources Interactive Processing System SAR/LANDSAT image registration study and monitoring agricultural vegetative water stress over (ERIPS) pO013 N79-14473 (E79-JOO35) p0039 N79-13442 large areas using LANDSAT digital data — Great Plains Data processing systems design session: Data base DIGITAL SIMULATION IE79-10O63] P0010 N79-13470 design considerations p0039 N79-14474 The automated generation and processing of digital Experiment results session: LACIE crop years, an Data processing systems design session: Man-machine terrain data for engineering planning pOOl9 A79-16597 assessment of crop conditions — Great Plains. U.S.S.R., interface in LACIE ERIPS pO039 N79-14475 DIGITAL SYSTEMS and Canada pOO14 N 79-14481 Data processing systems design session: Very high speed Application of a digital image processing system to land Experiment results session: Accuracy and performance processing as related to pixel-dependent tasks use mapping from Landsat data of LACIE crop development models — Texas. Oklahoma, [IAF PAPER 78-130] pO017 A79-1 1263 p0040 N79-14476 Kansas. Nebraska. North Dakota. South Dakota. Montana, DIGITAL TECHNIQUES and Minnesota pOO14 N 7 9-14484 Data processing systems design session: The A comparison of photointerpretrve and digital production cartographic laboratory — Wilkin County. Minnesota methods for four key remote sensing-based information pO013 N79-14477 products p0037 A79-11385 Data processing systems design session: Some cost MultkJate/multispectral crop identification - Digital performance characteristics of several data system techniques applied to high altitude photography and Landsat configurations for processing remotely sensed data imagery pO002 A79-11660 EARLY WARNING SYSTEMS pOO4O N79-14478 Landsat analysis of lake quality for statewide lake USDA Application Test System (ATS) session: ATS U SO A Application Test System (ATS) session: Functional classification p0033 A79-11756 experience to date and future plans — United States of definition and design of a USDA system Digital image processing experience at Hannover Institute America. U.S.S.R.. and Canada pO015 N79-14497 pO015 N79-14494 for Photogrammetry/IPI/ pO041 A79-14155 EARTH (PLANET) DATA REDUCTION Digital processing of Landsat data for geological Earth observations and photography experiment: SAR/LANDSAT image registration study applications pO025 A79-14164 Summary of significant results [E79-10035J pO039 N79-13442 A branched classification system applied to special INASA-CR-157780J pOO43 N79-10498 Analysis of scanner data for crop inventories --- Kansas problems in multispectral data analysis --- for crop EARTH ALSEDO and North Dakota identification pOO03 A79-14176 Application of the remote sensing of sea color for the [E79-10037] pOOOS N79-13444 A self-contained Landsat data reception and precision study of marine suspensions p0029 A79-13384 cartographic image production system Large Area Crop Inventory Experiment (LACIE). LACIE EARTH RESOURCES pO021 A79-14179 phase 3 accuracy assessment plan A review of the uses of Landsat imagery in Mexico [E79-10044J pO009 N79-13451 Interactive digital image processing of Landsat data for p0037 A79-11663 geologic analysis pO025 A79-14180 Large Area Crop Inventory Experiment (LACIE). LACIE Interdisciplinary application of the DIB)AS' digital image EARTH RESOURCES INFORMATION SYSTEM integrated drought plan — Great Plains processing system to geological and maritime problems Data processing systems design session: Evolution of [E79-1OO45] pOOO9 N79-13452 pO038 A79-14161 the Earth Resources Interactive Processing System Supporting Research and Technology (SRT) session: Digital image analysis applications in state natural (ERIPS) p0013 N79-14473 Manual identification of crop types pO014 N79-14488 resource agencies pO048 A79-J6J80 EARTH SURFACE DATA SAMPLING The application of digital terrain model and space Active microwave sensing of the earth's surface • A mini Results of a two-stage unequal probability /PPS/ resection techniques to digitizing the position of southern review pOO42 A79-15464 sampling for timber volume using an orthophoto mosaic pine beetle infestations delineated on large scale aerial Remote sensing of surface soil moisture pOOO6 A79-19892 photographs pOO04 A79-17884 p0034 A79-20134 A 6 SUBJECT INDEX FARM CROPS

The coverage field of earth observation satellites at the A national program for land use and land cover mapping Supporting Research and Technology (SRT) session: earth's surface. Description of the computer program using remotely sensed data p0018 A79-15034 Status of yield estimation technology, a review of COFI ENVIRONMENT PROTECTION second-generation model development — North Dakota. lESA-TT-487] p0022 N79-11457 Physical management of coastal floodplains: Guidelines Montana, Minnesota. Kansas. South Dakota. Nebraska. EARTHQUAKES for hazards and ecosystems management Colorado. Texas. Oklahoma, and U.S.S.R. Contemporary tectonics in the Tien Shan region (PB-284164/1] p0035 N79-12534 p0014 N79-14489 p0021 A79-18863 ENVIRONMENT SIMULATORS ESTUARIES ECOLOOV Estimation of soil moisture and components by measuring Multispectral classification on tidal lands Symposium on Remote Sensing for Vegetation Damage the degree of spectral polarization with a remote sensing pOO30 A79-14158 Assessment. Seattle. Wash.. February 14-16. 1978. simulator p0041 A79-11748 Project Gondwana: Jugaribe-SB-24 Proceedings pO003 A79-17876 ENVIRONMENTAL MONITORING [E79-10O13] pOO27 N79-12528 Synthetic aperture radar systems for remote sensing from The ecology of four coastal lakes in North Carolina: Project Rondonia space Trophic states measured from space imagery IlAF PAPER 78-149] p0041 A79-11272 (£79-10012} p0039 N79-13429 pO034 N79-12523 An interactive lake survey program --- airborne EULER-LAGRANGE EQUATION Overview of Brazilian remote sensing activities •-- multispectral sensor image processing The variational analysis of June 11. 1973. meteorological Amazon Region p0034 A79-12007 data pOO44 N79-14442 [E79-10023] pO049 N79-13434 'Smart' remote sensor needs for U.S. Coast Guard ocean EUROPE OAST Space Theme Workshop. Volume 2: Theme environment missions Eulusmap - An international land resources map utilizing summary. 5: Global service (no. 11). A. Statement. 8. [AIAA PAPER 78-1721] p0030 A79-13837 satellite imagery — in Europe 26 April 1976 presentation. C. Summary Development of a pollutant monitoring system for IlAF PAPER 78-124] P0021 A79-11259 INASA-TM-80006] pO050 N79-15118 biosphere reserves and results of the Great Smoky Coverage behavior of ERDSAT for some selected areas ECONOMIC ANALYSIS Mountains pilot study p0019 A79-15082 of the earth's surface Economic analysis in the Pacific Northwest Land Symposium on Remote Sensing for Vegetation Damage [ESA-TT-494] pOO43 N79-11458 Resources Project - Theoretical considerations and Assessment. Seattle. Wash., February 14-16. 1978. Eulusmap: An international land resources map utilizing preliminary results pOO47 A79-11383 Proceedings p0003 A79-17876 satellite imagery Experiment results session: Economic evaluation; Remote sensing and vegetation damage - A theory for [NASA-TP-1371] o0022 N79-13475 concepts, selected studies, system cost, and a proposed detection and assessment pOOOS A79-17877 EUROPEAN SPACE PROGRAMS program p0014 N79-14485 Previsual detection - The elusive dream --- for remotely Coverage behavior of EROSAT for some selected areas ECONOMIC FACTORS sensed vegetation damage p0003 A79-17878 of the earth's surface The nation's water resources, the second national water Previsual detection of stressed loblolly pine /Pinus taeda [ESA-TT-494] pOO43 N79-11458 L./ pOO03 A79-17879 assessment. Appendix B: Methodologies and Swedish space activities during 1977 socio-economic characteristics and patterns of change and Using reflectance and photography to detect ozone damage to cantaloupe plants pOOOS A79-17880 p0049 N79-11940 water use and water supply data On potential uses of space techniques for applied [PB-285815/71 pO036 N79-14517 Applications of photometric process in monitoring vegetation damage due to external stresses geodesy pOO22 N79-12485 ECONOMIC IMPACT p0004 A79-17883 EUTROPHICATION An example of the economic interest in remote sensing Detection and mapping of spruce budworm infestation Summary report - Application of Landsat to the • Forecasting of maize crops in Northern Wisconsin using digital analysis of Landsat surveillance of lake eutrophication in the Great Lakes llAF PAPER 78-1161 pOOOl A79-11254 data p0004 A79-17886 basin p0033 A79-11758 ECOSYSTEMS Monitoring gypsy moth defoliation by applying change Trophic classification of Colorado lakes utilizing contact Ecosystem alteration detection by aerial color infrared detection techniques to Landsat imagery data. Landsat and aircraft-acquired multispectral scanner photography and satellite multispectral scanner pOOOA A79-17887 data p0034 A79-15132 p0018 A79-12094 Case applications of remote sensing for vegetation The ecology of four coastal lakes in North Carolina: Physical management of coastal fJoodplains: Guidelines damage assessment pOO04 A79-17888 Trophic states measured from space imagery for hazards and ecosystems management Recognition of patterns of damage in tall forests in p0034 N79-12523 [PB-284164/1] p0035 N79-12534 Australia --- by aerial photography pOOO4 A79-17889 EVALUATION Nationwide forestry applications program: Full coverage at large scale --- under-cloud aerial Large Area Crop Inventory Experiment (LACIE). LACIE Ten-Ecosystem Study

Large Area Crop Inventory Experiment (LACIE). Landsat verification of aerial sketch-mapping — in forest Geodetic high precision measurements in active tectonic LAND SAT 3X gain study — Kansas. Texas, and Imperial monitoring pOOOS A79-17898 areas p0022 N79-12503 Valley. California Washington State forest insect survey - Combining aerial Project Gondwana: Jugaribe-SB-24 [E79-10059] pOOlO N79-13466 sketch map and remote sensing techniques [E79-10013] p0027 N79-12528 Large Area Crop Inventory Experiment (LACIE}. pOOOS A79-17901 The origin of surface lineaments-in Nemaha County, Yield-weather regression models for the Canadian prairies Remote sensing for determination of seedling survival Kansas — Alberta. Saskatchewan, and Manitoba — for reforestation of clear cut areas pOOOS A79-17902 [PB-287302/4] pO023 N79-15394 U79-10071] p0016 N79-15350 Mapping of Earth fissures in Las Vegas Valley. Nevada Remote sensing of vegetation damage to assess the Application of remote sensing to selected problems within IPB 286969/1] 0023 N79-15508 effectiveness of prescribed burning in Australia P the state of California GEOLOGICAL SURVEYS pOOOe A79-17903 [E79-10075] p0050 N79-15354 Application of space images to geological investigations Dryland pasture and crop conditions as seen by HCMM Applications of DTM in the Forest Service — Digital in the USSR to date and in future -— Oklahoma Terrain Information System pO006 A79-18197 IIAF PAPER 78-111) p0025 A79-11249 (E79-10079) p0016 N79-15358 Forest road planning from aerial photographs Results of application of data from space to geological FARMLANDS pOO06 A79-19894 survey in Yugoslavia HCMM Heat Capacity Mapping Mission Evaluation of reforested areas using LANDSAT imagery IIAF PAPER 78-112] p0025 A79-11250 (E79-10OO7J pOOOS N79-13428 (E79-1O019] pOOOS N79-13432 Prospecting by satellite pO047 A79-11475 Bolivian program of satellite technology of earth FLAME: Forestry Lands Allocated for Managing energy. Digital processing of Landsat data for geological resources. ERTS Feasibility study applications p0025 A79-14164 [E79-10036) pOO49 N79-13443 [AD A059993) pO015 N79-14507 Interactive digital image processing of Landsat data for Large Area Crop Inventory Experiment (LACIE). LACIE FORESTS geologic analysis p0025 A79-14180 phase 3 analyst field trip plan — North Dakota. South SLAR for forest type-classification in a semi-deciduous Interdisciplinary application of the 'DIBIAS' digital image Dakota, and Kansas tropical region pOO06 A79-19891 processing system to geological and maritime problems (E79-10O41) pOOOS N79-13448 pO038 A79-1418) Post LANDSAT D advanced concept evaluation Large Area Crop Inventory Experiment (LACIE). Detection pO049 N79-10096 Remote sensing applied to geology and mineralogy. A of episodic phenomena on LA NO SAT imagery ••- Kansas bibliography with abstracts [E79-10055) pOOlO N79-13462 Forest inventory of east Thailand using ERTS-1 and [NTlS/PS-78/0791/0] p0026 N79-10507 FINLAND ground truth survey Optimum thermal infrared bands for mapping general On the gravimetric survey of the Gulf of Bothnia (NASA-TT-F-17065] p0006 N79-10500 rock type and temperature from space p0022 N79-12497 Forest resource information system [NASA-CR-151842] p0026 N79-1 1449 FISHERIES IE79-10010] pO007 N79-12526 Preliminary geological precambrian map of Piaui Space observations over fishing grounds -•• upwelling A selected bibliography: Remote sensing applications [INPE-1146-PE/099] pO026 N79-11450 pattern monitoring p0029 A79-12506 for tropical and subtropical vegetation analysis GEOLOGY FISHES IPB-284683/OJ pO007 N79-12539 Evaluation of multispectral scanner data by hybrid Overview of Brazilian remote sensing activities --- Evaluation of reforested areas using LANDSAT imagery methods pO042 A79-1417S Amazon Region [E79-10019] ' pOOOS N79-13432 Post LANDSAT D advanced concept evaluation [E79-10023] pOO49 N79-13434 Overview of Brazilian remote sensing activities —• p0049 N79-10096 INPE remote sensing program — Brazil Amazon Region Earth observations and photography experiment: [E79-10061] p0049 N79-13468 [E79-10023] pO049 N79-13434 Summary of significant results The application of remote sensors to a model for fish Nationwide forestry applications program: [NASA-CR-157780] pOO43 N79-10498 mapping Ten-Ecosystem Study (TES) site 3, St. Louis County, Project Gondwana. Jugaribe-SB-24 (INPE-1379-PE/176J pO031 N79-14712 Minnesota [E79-10013] pO027 N79-12528 Commercial fishing port development in north Florida [E79-10034] pOOOS N79-13441 — Escambia, Bay. Gulf. Franklin, Wakulla. Nassau, and Bolivian program of satellite technology of earth Remote sensing applied to surveying the thermomineral Duval Counties resources. ERTS water region of Caldas Novas. Goias [E79-10078] p0031 N79-15357 [E79-10036] pO049 N79-13443 (£79-10014] pO027 N79-12529 FLOOD PLAINS INPE remote sensing program -•- Brazil Utilization of LANDSAT images for geological 40 years of Mississippi River floodplain change assessed [E79-10061] p0049 N79-13468 investigation in the central portion of Minas Gerais by aerial photography p0033 A79-11661 Nationwide forestry applications program. A literature (E79-10020] p0027 N79-13433 Physical management of coastal floodplains: Guidelines review of major remote sensing projects mapping forest The application of remote sensors in the interpretation for hazards and ecosystems management land in the United States, using satellite data and automatic of LANDSAT data for regional geological mapping in the [PB-284164/1] pO035 N79-12534 data processing central portion of Minas Gerais Bolivian program of satellite technology of earth [£79-10072] pOO!6 N79-15351 (E79-10039] p0027 N79-13446 resources, ERTS Application of remote sensing to selected problems within GEOMAGNETISM (E79-10036] P0049 N79-13443 the state of California The application of remote sensors in the interpretation FLOODS JE79-10075] pOOSO N79-15354 of LANDSAT data for regional geological mapping in the The use of Landsat-derh/ed land cover data in a flood Application of LANDSAT in the evaluation of argicultural central portion of Minas Gerais peak correlation study pOO33 A79-11755 and forest resources — Brazil and Amazon Region [E79-10039] p0027 N79-13446 Land use survey and mapping and water resources [E79-10088) pOO!6 N79-15366 GEOMORPHOLOGY investigation tn Korea FRANCE Rupture! fabric of Yugoslavia on Landsat scanograms [E79-10OO3] pO035 N79-1342S An example of the economic interest in remote sensing [IAF PAPER 78-121] pO021 A79-11258 - Forecasting of maize crops FLORIDA Land use survey and mapping and water resources [IAF PAPER 78-1 16] pOOOl A79-11254 Techniques for land use change detection using Landsat investigation in Korea Application of the remote sensing of sea color for the imagery pO017 A79-11668 [E79-10O03] p0035 N79-13425 FLAME: Forestry Lands Allocated for Managing energy. study of marine suspensions pO029 A79-13384 FRAUNHOFER LINE DISCRIMINATORS GEORGIA Feasibility study Cost benefit assessment of NASA remote sensing (AD-A059993) pOOIS N79-14507 Marine monitoring of natural oil slicks and man made wastes utilizing an airborne imaging Fraunhofer line technology transferred to the State of Georgia Commercial fishing port development in north Florida discriminator p0042 A79-15104 P0048 A79-16554 --- Escambia. Bay, Gulf, Franklin. Wakulla. Nassau, and GEOS 3 SATELLITE Duval Counties FUNGI Detection of Armillaria root rot damage with shadowiess Measurement of ocean wave heights using the Geos 3 [E79-10078] p0031 N79-15357' color infrared photography pOOOS A79-17899 altimeter pOO41 A79-11767 FLUONESCCNCC GEOTHERMAL RESOURCES Laboratory studies of in vivo fluorescence of Remote sensing applied to prospecting of thermomineral phytoplankton pOO30 A79-15I19 water in the county of Caldas Novas-Colas FORECASTING [NASA TM-75583] pO026 N79-10501 The status of existing global crop forecasting — United GERMANY States of America. U.S.S.R., Canada, Brazil, Australia, GAS DETECTORS Aircraft instrumentation system for the remote sensing Evaluation of Landsat image data for land-use mapping Sweden, and Kenya p0012 N79-14450 of carbon monoxide p0042 A79-15090 IIAF PAPER 78-118] p0017 A79-11256 LACIE: An experiment in global crop forecasting — GEODESY Interdisciplinary application of the 'DIBIAS' digital image United States of America and U.S.S.R. pOO12 N79-14451 On potential uses of space techniques for applied processing system to geological and maritime problems Preliminary runoff and streamflow predictions in the geodesy p0022 N79-12485 p0038 A79-14181 Humboldt River basin based on snow distribution Satellite tracking techniques and their applications for GOVERNMENTS measurements from sequential satellite imagery geodesy and navigation p0022 N79-12486 The nation's water resources, the second national water (PB-286122/7] p0036 N79-14518 Review of satellite tracking techniques probably capable assessment. Part 1: Introduction FOREST FIRES of monitoring plate tectonics pO022 N79-12501 [PB-285747/2] pO035 N79-14512 Remote sensing of vegetation damage to assess the Geodetic high precision measurements in active tectonic The nation's water resources, the second national water effectiveness of prescribed burning in Australia areas pOO22 N79-12503 assessment, ' Part 5: Regional assessment summaries pOO06 A79-17903 GEODETIC SATELLITES [PB-285751/4] pO036 N79-14516 FOREST MANAGEMENT On potential uses of space techniques for applied geodesy pO022 N79-12485 GRAINS (FOOD) Improvement of earth resource inventories utilizing Analysis of scanner data for crop inventories -- Kansas remotely sensed data /sampling and remote sensing/ GEODETIC SURVEYS and North Dakota Interrelation between photogrammetry and remote p0001 A79-11382 [E79-10037] pOOOS N79-13444 sensing cadastral localizing of cultivation inventory, obtained The value of volume and growth measurements in timber GRASSES sales management of the National Forests by remote sensing p0003 A79-14159 GEOOYNAMICS Large Area Crop Inventory Experiment (LACIE), Detection pOOOl A79-11389 of episodic phenomena on LANDSAT imagery --- Kansas Landsat forest inventory of the Philippines Future applications of a satellite observation system for the long-term monitoring of geodynamic processes [E79-10055] p0010 N79-13462 pOOO2 A79-11665 [DGLR PAPER 78-147) p0018 A79-14O93 GRASSLANDS Previsuaf detection of stressed loblolly pine /Pinus taeda GEOGRAPHY The use of LANDSAT data for the establishment, control L./ pOO03 A79-17879 USDA Application Test System (ATS) session: Data and supervision of pasture projects in the southeast Amazon Remote analysis of forest tree mortality in California base design for a worldwide multkrop information system region pOOOS A79-17894 — U.S.S.R. pOO)5 N79-14496 [E79-10016] pO007 N79-12530 Multiphase airphoto assessment for annual losses caused GEOLOGICAL FAULTS A selected bibliography: Remote sensing applications by the mountain pine beetle in lodgepote pine Contemporary tectonics in the Tien Shan region for tropical and subtropical vegetation analysis pOOOS A79-17895 P0021 A79-18863 [PB-284683/0] pOO07 N79-12539 A 8 SUBJECT INDEX IMAGE PROCESSING

Bolivian program of satellite technology of earth GROUND TRUTH Plant cover, soil temperature, freeze, water stress, and resources, ERTS Monitoring vegetation changes in a large impacted evapotranspiration conditions [E79-10036) p0049 N79-13443 wetland using quantitative field data and quantitative remote IE79-10080] p0016 N79-15359 Utilization of orbital data from LAND SAT 1 in the sensing data p0019 A79-15051 Geologic application of thermal-inertia mapping from classification of urban land usage of the Sao Jose Trophic classification of Colorado lakes utilizing contact satellite --- Wyoming and Arizona grassland data, Landsat and aircraft-acquired multispectral scanner [E79-10081] p0027 N79-15360 [E79-10Q85J p0020 N79-15363 data p0034 A79-15132 HIGH RESOLUTION Landsat verification of aerial sketch-mapping --• in forest GRAVIMETRY Advanced systems requirements for ocean observations monitoring pOO05 A79-17898 On the gravimetric survey of the Gulf of Bothnia via microwave radiometers Forest inventory of east Thailand using ERTS-1 and p0022 N79-12497 [AIAA PAPER 78-1737] pOO30 A79-13850 ground truth survey GREAT BASIN (US) [NASA-TT-F-17065] p0006 N79-10500 HIGH SPEED Data processing systems design session: Very high speed The nation's water resources, the second national water Gulf stream ground truth project. Results of NRL airborne processing as related to pixel-dependent tasks assessment. Part 5: Regional assessment summaries sensors p0040 N79-14476 [PB-2857S1/4] p0036 N79-14516 [AO-A057420]. pO043 N79-11639 GRiAT BRITAIN Secondary error analysis: The evaluation of analyst dot HISTOGRAMS A study of the potential of Landsat MSS digital data labeling SAR/LAND SAT image registration study for woodland census in Britain pOOO3 A79-17274 [E79-1O011] pOO07 N79-12527 [E79-10035J p0039 N79-13442 GREAT LAKES (NORTH AMERICA) Deforestation planning for cattle grazing in Amazon Basin Large Area Crop Inventory Experiment (LACIE). Detection Summary report - Application of Landsat to the using LANDSAT data of episodic phenomena on LANDSAT imagery — Kansas surveillance of lake eutrophication in the Great Lakes [E79-10018] pOOOB N79-13431 [E79-10055] p0010 N79-13462 basin p0033 A79-11758 Nationwide forestry applications program: Large Area Crop Inventory Experiment (LACIE). The nation's water resources, the second national water Ten-Ecosystem Study (TES) site 3, St. Louis County, LANDSAT 3X gain study — Kansas. Texas, and Imperial assessment. Part 5: Regional assessment summaries Minnesota Valley, California [PB-285751/4] pO036 N79-14516 [E79-10034] pOOOS N79-13441 [E79-10059] pOOlO N79-13466 GREAT PLAINS CORRIDOR (NORTH AMERICA) Large Area Crop Inventory Experiment (LACIE). LACIE HOLOGRAPHY Urge Area Crop Inventory Experiment (LACIE). LACIE phase 3 analyst field trip plan — North Dakota, South Holographic terrain displays p0037 A79-12036 integrated drought plan — Great Plains Dakota, and Kansas HONDURAS [E79-10Q45] p0009 N79-13452 [E79-10041] pOOOS N79-13448 The cost-effectiveness of operational remote sensing Large Area Crop Inventory Experiment (LACIE). Effects Urge Area Crop Inventory Experiment ILACIE). Test technology - A comparative analysis pOO47 A79-11386 of non-response including cloud cover on aggregation of and evaluation plan for KSU and CCEA phase 3 yield models HOUSTON (TX) wheat area in the US Great Plains — Colorado, Kansas, --- India. China, U.S.S.R.. Canada. Argentina, Australia. Techniques for land use change detection using Landsat Nebraska. Oklahoma, and Texas North Dakota, and Great Plains [E79-10057] p0010 N79-13464 imagery p0017 A79-11668 [E79-10049] p0009 N79-13456 Large Area Crop Inventory Experiment (LACIE). HYDROGEOLOGY Large Area Crop Inventory Experiment (LACIE). LACIE LANDSAT 3X gain study -- Kansas. Texas, and Imperial On the nature of base flow and groundwater occurrences quick look accuracy assessment report, review of the Valley. California in the Serayu River basin p0034 A79-19895 December 17, 1976 CAR — Minnesota. Montana, Kansas, [E79-10059] pO010 N79-13466 Land use survey and mapping and water resources South Dakota. Texas. Oklahoma, and Nebraska Findings of the experiment design peer group investigation in Korea [E79-10052] P0009 N79-13459 pOOII N79-14433 [E79-10O03] P0035 N79-13425 Urge Area Crop Inventory Experiment (LACIE). Effects Severe storm experiment summary --- from Texas HYDROGRAPHY of non-response including cloud cover on aggregation of Panhandle to Gulf of Mexico pOO44 N79-14439 Interdisciplinary application of the 'DIBIAS' digital image wheat area in the US Great Plains — Colorado. Kansas, System implementation and operations session: The processing system to geological and maritime problems Nebraska, Oklahoma, and Texas LACIE Application Evaluation System (AES). a design p0038 A79-14181 IE79-10057] pOOlO N79-13464 overview p0013 N79-14465 Overview of Brazilian remote sensing activities --- Urge Area Crop Inventory Experiment (LACIE). LACIE System implementation and operations session: Amazon Region crop calendar test and evaluation plan Accuracy assessment, system implementation and [E79-10023] p0049 N79-13434 [E79-10058] pOOlO N79-13465 operation •-- Oklahoma. Montana, Minnesota, and HYDROLOGY LACIE transition project, FY 1978-1979: Reanalysis U.S.S.R. p0013 N79-14470 Multispectral remote observations of hydrologic features of CCEA 1 US Great Plains wheat yield models — Texas, Test and evaluation of principal component cluster images on the North Slope of Alaska p0033 A79-11672 Oklahoma. Colorado, Kansas. North Dakota. South Dakota. in LACIE Evaluation of multispectral scanner data by hybrid Minnesota, Nebraska, Montana. Badlands, and Red River [E79-10077] p0016 N79-15356 methods pOO42 A79-14178 Valley Remote monitoring of coal strip mine rehabilitation Earth observations and photography experiment: [E79-10Q62] p0010 N79-13469 [PB-286647/3] pO027 N79-15379 Summary of significant results Large Area Crop Inventory Experiment (LACIE). Detecting GROUND WATER (NASA-CR-157780) p0043 N79-10498 and monitoring agricultural vegetative water stress over On the nature of base flow and groundwater occurrences Land use survey and mapping and water resources large areas using LANDSAT digital data — Great Plains in the Serayu River basin p0034 A79 19895 investigation in Korea [E79-10063] pOOlO N79-13470 The nation's water resources, the second national water [E79-10003] p0035 N79-13425 assessment. Part 4: Water supply and water quality HYDROLOGY MODELS Briefing Materials for Technical Presentations, Volume considerations Landsat derived, land cover and imperviousness B: The LACIE Symposium [PB-285750/6] p0035 N79-14515 categories for metropolitan Washington - An [E79-10031] 0013 N79-14480 P GULF OF MEXICO urban/non-urban, computer approach p0018 A79-11759 Experiment results session: LACIE crop years, an Measurement of ocean wave heights using the Geos 3 Application of LA NO SAT satellite imagery and assessment of crop conditions --- Great Plains, U.S.S.R., altimeter pO041 A79-1 1767 oceanographic data for verification of an upwelling and Canada p0014 N79-14481 Severe storm experiment summary --- from Texas mathematical model --- Atlantic Coast of Brazil Experiment results session: Accuracy and performance Panhandle to Gulf of Mexico p0044 N79-14439 {E79-10026] p0031 N79-13437 of LACIE estimates — Minnesota, Oklahoma, North Dakota, Severe storm cloud-top characteristics — Gulf of Mexico Great Plains. Canada, and U.S.S.R. pO014 N79-14482 and Borneo pOO45 N79-14447 Experiment results session: Accuracy and performance The nation's water resources, the second national water I of LACIE yield estimates — Great Plains, North Dakota. assessment. Part 5: Regional assessment summaries Montana, Oklahoma. Texas. Kansas, Colorado. Nebraska. [PB-285751/4] p0036 N79-14516 ICE South Dakota, Minnesota, Canada, Australia, Brazil. India, GULF STREAM Bolivian program of satellite technology of earth and U.S.S.R. p0014 N79-14483 Gulf stream ground truth project. Results of NRL airborne resources, EHTS Experiment results session: Accuracy and performance sensors [E79-10036] pOO49 N79-13443 of LACIE crop development models — Texas. Oklahoma, [AD-A057420] p0043 N79-M639 ICEBERGS Kansas. Nebraska, North Dakota, South Dakota, Montana, GULFS Icebergs for use as fresh water and Minnesota p0014 N79-14484 On the gravimetric survey of the Gulf of Bothnia - (PB-285664/9) p0035 N79-13485 Supporting Research and Technology (SRT) session: New pO022 N79-12497 ICELAND developments in sampling and aggregation for remotely Geodetic high precision measurements in active tectonic sensed surveys -•- Texas. Kansas, Nebraska, Oklahoma, areas p0022 N79-12503 Minnesota. South Dakota, Colorado, and U.S.S.R. H IDAHO p0014 N79-14491 Economic analysis in the Pacific Northwest Land Urge Area Crop Inventory Experiment (LACIE}. Review HABITATS Resources Project - Theoretical considerations and of LACIE methodology, a project evaluation of technical Remote sensing applications to resource problems in preliminary results p0047 A79-11383 acceptability South Dakota IMAGE ENHANCEMENT [E79-1Q069] P0015 N79-15348 (E79-10089] P0016 N79-15367 Digital image processing experience at Hannover Institute Large Area Crop Inventory Experiment (LACIE). HARBORS for Photogrammetry /IPI/ p0041 A79-14155 Yield-weather regression models for the Canadian prairies Commercial fishing port development in north Florida Digital processing of Landsat data for geological --- Alberta, Saskatchewan, and Manitoba --- Escambia, Bay. Gulf, Franklin, Wakulla. Nassau, and applications p0025 A79-14164 IE79-10071] p0016 N79-15350 Duval Counties Landsat - Developing techniques and applications in mineral and petroleum exploration p0026 A79-16725 The Large Area Crop Inventory Experiment (LADE). An [E79-10078] P0031 N79-15357 Previsual detection - The elusive dream — for remotely application of remote sensing by multispectral scanners HAZARDS sensed vegetation damage pOOO3 A79-17878 Physical management of coastal floodplains: Guidelines [E79-1Q091] p0016 N79-15369 Generation of uniform chromatrcity scale imagery from for hazards and ecosystems management GREAT SMOKY MOUNTAINS 1NC-TN) LANDSAT data [PB-284164/1] pO035 N79-12534 Development of a pollutant monitoring system for [E79-10O33] p0039 N79-13440 biosphere reserves and results of the Great Smoky HEAT CAPACITY MAPPING MISSION Analysis of the effects of interpolation and enhancement Mountains pilot study pO019 A79-15082 HCMM Heat Capacity Mapping Mission of LANDSAT-1 Data on classification and area estimation GREECE [E79-10007] pOOOS N79-13428 accuracy American Society of Photogrammetry, Annual Meeting, Applications of HCMM satellite data to the study of urban [E79-10038] pOOOS N79-13445 44th, Washington, D.C., February 26-March 4. 1978, heating patterns — St. Louis, Missouri and Los Angeles, IMAGE PROCESSING Proceedings pOO37 A79-11751 California Evaluation of Landsat image data for land-use mapping GROUND SUPPORT SYSTEMS [E79-10040] p0020 N79-13447 [IAF PAPER 78-118] p0017 A79-11256 Supporting Research and Technology (SRT) session: Dryland pasture and crop conditions as seen by HCMM Application of a digital image processing system to land Supporting research, a focused approach to research — Oklahoma use mapping from Landsat data development pO014 N79-14486 [E79-10079] p0016 N79-15358 [IAF PAPER 78-130] p0017 A79-11263 A 9 IMAGE RESOLUTION SUBJECT INDEX

Techniques for land use change detection using Landsat IMPERIAL VALLEY (CA) USDA Application Test System (ATS) session: Functional imagery p0017 A79-11668 Large Area Crop Inventory Experiment (LACIE). definition and design of a USDA system Landsat analysis of take quality for statewide lake LANDSAT 3X gain study — Kansas. Texas, and Imperial pO015 N79-14494 classification p0033 A79-11756 Valley. California USDA Application Test System (ATS) session: ATS. Landsat geologic reconnaissance of the Washington. D.C. (E79-10059) pOOlO N79-13466 technical approach and system design area westward to the Appalachian Plateau INDIA P0015 N79-14495 pO025 A79-II763 Vegetation damage surveying in India USDA Application Test System (ATS) session: Data An interactive lake survey program --- airborne p0005 A79-17900 base design for a worldwide multtcrop information system multispectral sensor image processing Large Area Crop Inventory Experiment (LACIE). Test — U.S.S.R. p0015 N79-14496 pO034 A79-12007 and evaluation plan for KSU and CCEA phase 3 yield models INFRARED IMAGERY Texture-tone analysis for automated land-use mapping — India, China. U.S.S.R., Canada, Argentina. Australia. Michigan resource inventories - Characteristics and costs pO037 A79-13795 North Dakota, and Great Plains of selected projects using high altitude color infrared Image processing • Interactions with photogrammetry [E79-10049] pOOO9 N79-13456 imagery pO037 A79-11384 and remote sensing; Proceedings of the International Spectral and spatial signature recognition in urbanizing System implementation and operations session: The Symposium, Techniscne Universitaet Graz. Graz. Austria. areas of southern California from (J-2 color infra-red LACIE Application Evaluation System (AES), a design October 3-5, 1977 pO037 A79-14151 imagery pOOlS A79-14173 overview 0013 N79-14465 Digital image processing experience at Hannover Institute P Previsual detection of stressed loblolly pine /Pinus taeda for Photogrammetry /IPI/ pOO41 A79-14155 Experiment results session: Accuracy and performance L/ pOO03 A79-17879 Digital processing of Landsat data for geological of LACIE yield estimates — Great Plains. North Dakota. Optimum thermal infrared bands for mapping general applications pO025 A79-14164 Montana. Oklahoma. Texas. Kansas, Colorado. Nebraska. rock type and temperature from space Realistic land use mapping — using MSS remote sensing South Dakota. Minnesota. Canada. Australia. Brazil. India. (NASA-CR-151842] p0026 N79-11449 and aerial photography p0018 A79-14167 and U.S.S.R. pO014 N79-14483 INFRARED PHOTOGRAPHY Computer-aided analysis of Landsat data for surveying INDONESIA Ecosystem alteration detection by aerial color infrared Texas coastal zone environments pOO38 A79-14168 The use of earth surface observation data for development photography and satellite multispectral scanner A branched classification system applied to special planning of Greater Jakarta Metropolitan Area pOOIS A79-12094 problems in multispectral data analysis —- for crop [IAF PAPER 78-119] pOOl? A79-11257 Quantifying gypsy moth defoliation pOO02 A79-13794 identification pOO03 A79-14176 Coverage behavior of ERDSAT for some selected areas Microdensitometry to identify Douglas-fir tussock moth Evaluation of multispectral scanner data by hybrid of the earth's surface defoliation on color IR aerial photos pOO04 A79-17885 methods p0042 A79-14178 [ESA-TT-494] p0043 N79-11458 Use of color infrared aerial photography for documenting A self-contained Landsat data reception and precision Severe storm experiment summary •-- from Texas baseline vegetation stress in environmental impact cartographic image production system Panhandle to Gulf of Mexico pOO44 N79-14439 assessment pOOOS A79-17896 p0021 A79-14179 Severe storm cloud-top characteristics --- Gulf of Mexico Detection of Armillaria root rot damage with shadowless Interactive digital image processing of Landsat data for and Borneo pOO45 N79-14447 color infrared photography pO005 A79-17899 geologic analysis p0025 A79-14180 INDUSTRIAL AREAS INFRARED RADIOMETERS Interdisciplinary application of the 'DIBIAS' digital image Utilization of orbital data from LA NO SAT 1 in the Sea surface temperature distributions obtained off San processing system to geological and maritime problems classification of urban land usage of the Sao Jose Diego. California, using an airborne infrared radiometer p0038 A79-14181 grassland [PB-284736/6] pO030 N79-11647 Information requirements for natural resource (E79-1O085) p0020 N79-15363 Coastal zone and open ocean observations from NOAA inventories p0048 A79-16178 INDUSTRIAL WASTES satellite very high resolution radiometers Digital image analysis applications in state natural Quantitative mapping of paniculate iron in an ocean dump [PB-28444S/4] pO031 N79-11648 resource agencies p0048 A79-16180 using remotely sensed data p0029 A79-11766 INFRARED SCANNERS The automated generation and processing of digital INDUSTRIES Surface texture analysis with thermal and near infrared terrain data for engineering planning p0019 A79-16597 Statistical separability and classification of land use scanners p0021 A79-10997 Identification of descriptive parameters in MSS system classes using image-100 --- Brazil Estimation of the soil composition by IR observation of by multrvariate analysis and spline fining — for sea surface (E79-10022) p0039 N79-12533 . the earth by satellites or soil mapping pOO38 A79-16775 INFESTATION [IAF PAPER 78-126] p0025 A79-11260 Detection and mapping of spruce budworm infestation Quantifying gypsy moth defoliation pO002 A79-13794 Role of the USAF AN/AAD-5 Infrared Reconnaissance in Northern Wisconsin using digital analysis of Landsat Spray block mapping control for spruce budworm using Set in pollution detection and fuel conservation data pOOO4 A79-17886 Landsal and high altitude remote sensing pOO41 A79-12088 Monitoring gypsy moth defoliation by applying change pO002 A79-14152 INFRARED SPECTROMETERS detection techniques to Landsat imagery The application of digital terrain model and space Inversion of SI 91 data into temperature and water vapor P0004A79-17887 resection techniques to digitizing the position of southern profiles pOO44 N79-14441 A scene-analysis approach to remote sensing — San pine beetle infestations delineated on large scale aerial INSECTS Francisco, California photographs pOOO4 A79-17884 Washington State forest insect survey - Combining aerial [E79-100291 pO022 N79-13438 Microdensitometry to identify Douglas-fir tussock moth sketch map and remote sensing techniques SAR/LANDSAT image registration study defoliation on color IR aerial photos pOOO4 A79-17885 pOOOS A79-17901 [E79 10O35] p0039 N79-13442 Detection and mapping of spruce budworm infestation INTERNATIONAL COOPERATION Supporting Research and Technology (SRT) session: in Northern Wisconsin using digital analysis of Landsat Internationalization of remote sensing technology Manual identification of crop types pO014 N79-14488 data pOOO4 A79-17886 p0047 A79-11662 Monitoring gypsy moth defoliation by applying change IMAGE ME SOLUTION INTERNATIONAL TRADE detection techniques to Landsal imagery Synthetic aperture radar systems for remote sensing from Experiment results session: Economic evaluation: pO004 A79-17887 space concepts, selected studies, system cost, and a proposed Remote sensing approach to identifying preferred (lAF PAPER 78-149] p0041 A79-11272 program p0014 N79-14485 Douglas-fir tussock moth /Orgyie pseudotsugata McD./ INTERPOLATION IMAGERY sites pOOOS A79-17893 Analysis of the effects of interpolation and enhancement A conspectus of computer aided and air-photo Multiphase airphoto assessment for annual losses caused of LANDSAT-1 Data on classification and area estimation interpretation techniques for the study of Landsat imagery by the mountain pine beetle in lodgepole pine accuracy pOO38 A79-18868 pOOO5 A79-17895 (E79-I0038J pOOOS N79 13445 Eulusmap: An international land resources map utilizing Washington State forest insect survey - Combining aerial satellite imagery sketch map and remote sensing techniques INVESTMENTS (NASA-TP-1371) p0022 N79-13475 pOOOS A79-17901 USDA Application Test System (ATS) session: Resource IMAGING TECHNIQUES Supporting Research and Technology (SRT) session: modelling, a reality for program cost analysis American Society of Photogrammetry. Fall Technical Status of yield estimation technology, a review of pOOtS N79-14498 Meeting. Unle Rock. Ark.. October 18-21. 1977. second-generation model development — North Dakota.' IOWA Proceedings pO037 A79-11657 Montana, Minnesota, Kansas. South Dakota, Nebraska. A comprehensive data processing plan for crop calendar A review of the uses of Landsat imagery in Mexico Colorado, Texas, Oklahoma, and U.S.S.R. MSS signature development from satellite imagery: Crop p0037 A79-11663" p0014 N79-14489 identification using vegetation phenology [E79-10O01) pO007 N79-13424 Multispectral remote observations of hydrologic features INFORMATION MANAGEMENT on the North Slope of Alaska pOO33 A79-11672 Large Area Crop Inventory Experiment {LACIE). LACIE IRAN phase 3 interim accuracy assessment plan Geodetic high precision measurements in active tectonic Holographic terrain displays p0037 A79-12036 [E79-10043J pOOO9 N79-13450 areas p0022 N79-12503 Classification of rocks on the basis of signatures and Large Area Crop Inventory Experiment (LACIE). LACIE ITALY texture-measures from Landsat imagery phase 3 accuracy assessment plan The importance of repeated and multispectral analyses p0025 A79-14157 [E79-10O44] pO009 N79-13451 in geological-structural applications of data obtained from Multispectral classification on tidal lands Large Area Crop Inventory Experiment (LACJEJ. Level space p0026 A79-16777 p0030 A79-14158 3 baseline; LACIE Information Evaluation (IE) The use of vegetation as a transducer for environmental Previsual detection of stressed loblolly pine /Pinus taeda implementation/operations plan pollution pOO19 A79-17882 L/ p0003 A79-17879 [E79-10O47] pOO09 N79-13454 The effect of canopy composition on the measured and Large Area Crop Inventory Experiment (LACIE). Level calculated reflectance of conifer forests in Michigan 3 baseline: LACIE project documentation plan p0003 A79-17881 [E79-10054] pOOOS N79-13461 Case applications of remote sensing for vegetation INFORMATION SYSTEMS damage assessment pO004 A79- f 7888 Conference on the Economics of Remote Sensing JAPAN Information Systems, 1st, San Jose State University, San Design and implementation of distortion-free Estimation of soil moisture and components by measuring Jose. Calif. January 19-21. 1977. Proceedings compression techniques for LANDSAT data and* television the degree of spectral polarization with a remote sensing pO047 A79-11376 images pO039 N79-13421 simulator pO041 A79-11748 The contribution of space observations to global food Generation of uniform chromaticity scale imagery from information systems: Proceedings of the W. Nordberg LANDSAT data Memorial Symposium, Tel Aviv. Israel. June 7-18, 1977 [E79-1O033] pO039 N79-13440 pOO48 A79-12502 K Data processing systems design session: Very high speed Food information systems - Growing conditions processing as related to pixel-dependent tasks pO002 A79-125O4 KANSAS pO040 N79-14476 Forest resource information system A comprehensive data processing plan for crop calendar Data processing systems design session: Equipment (E79-10010] pOO07 N79-12526 MSS signature development from satellite imagery: Crop selection criteria for R and D image processing Findings of the data processing systems design peer identification using vegetation phenology pO040 N79-14479 group pOOII N79-14435 [E79-10001] p0007 N79-13424 A-10 SUBJECT INDEX LARGE AREA CROP INVENTORY EXPERIMENT

Analysis of scanner data for crop inventories — Kansas Interdisciplinary application of the 'DIBIAS' digital image LANDSAT FOLLOW ON MISSIONS and North Dakota processing system to geological and maritime problems Post LANDSAT D advanced concept evaluation [E79-10037] pOOOS N79-13444 pO038 A79-14181 p0049 N79-10O96 Large Area Crop Inventory Experiment (LACIE). LACIE Trophic classification of Colorado lakes utilizing contact LANDSAT SATELLITES phase 3 analyst field trip plan — North Dakota. South data. Landsat and aircraft-acquired multispectral scanner Landsat verification of aerial sketch-mapping --- in forest Dakota, and Kansas data pCO34 A79-15132 monitoring pOOOS A79-17898 [E79-10041] pOOOS N79-13448 The ecology of four coastal lakes in North Carolina: The digital use of LANDSAT data for integrated land Urge Area Crop Inventory Experiment (LACIE). Test Trophic states measured from space imagery resource survey: A study in the Eastern Mojave Desert. and evaluation plan for KSU and CCEA phase 3 yield models p0034 N79-12523 California pO019 N79-12519 Derived water temperatures using S191 and S192 data --- India, China. U.S.S.R.. Canada. Argentina. Australia, LARGE AREA CROP INVENTORY EXPERIMENT — Oklahoma and Texas p0044 N79-14440 North Dakota, and Great Plains Secondary error analysis: The evaluation of analyst dot Remote sensing of atmospheric water vapor --- Oklahoma (E79-10049) P0009 N79-13456 labeling and Texas 0045 N79-14448 Large Area Crop Inventory Experiment (LACIE). LACIE P (E79-10011) p0007 N79-12527 Remote sensing applications to resource problems in quick look accuracy assessment report, review of the South Dakota Generation of uniform chromaticity scale imagery from December 17. 1976 CAR — Minnesota. Montana. Kansas. [E79-10089] p0016 N79-15367 LANDSAT data South Dakota. Texas. Oklahoma, and Nebraska [E79-10033] P0039 N79-13440 [E79-10052) pO009 N79-13459 LAND MANAGEMENT Interpretation of satellite and aircraft imagery for Large Area Crop Inventory Experiment {LACIE). LACIE Large Area Crop Inventory Experiment (LACIE). Detection planning/design and management of marine parks and phase 3 analyst field trip plan — North Dakota. South of episodic phenomena on LANDS AT imagery --- Kansas reserves p0017 A79-11754 Dakota, and Kansas [E79-10055] pOOlO N79-13462 Remote sensing from space and the operational needs (E79-10O41) pOO08 N79-13448 Large Area Crop Inventory Enperiment (LACIE). of range management pOOO2 A79-12503 Large Area Crop Inventory Experiment (LACIE). LACIE Second-generation sampling strategy evaluation report — Information requirements for natural resource transition year operations plan Kansas. North Dakota, and U.S.S.R. inventories p0048 A79-16178 [E79-10O42] pOO09 N79-13449 IE79-10056) pOOlO N79-13463 LAND USE Large Area Crop Inventory Experiment {LACIE). LACIE Large Area Crop Inventory Experiment (LACIE). Effects Evaluation of Landsat image data for land-use mapping phase 3 interim accuracy assessment plan of non-response including cloud cover on aggregation of [IAF PAPER 78-118] p0017 A79-11256 (E79-10O43) pOO09 N79-13450 wheat area in the US Great Plains --- Colorado, Kansas. Eulusmap - An international land resources map utilizing Large Area Crop Inventory Experiment (LACIE). LACIE Nebraska. Oklahoma, and Texas satellite imagery --- in Europe phase 3 accuracy assessment plan [E79-10057J p0010 N79-13464 |IAF PAPER 78-124] pO021 A79-1 1259 [E79-10044] p0009 N79-13451 Application of a digital image processing system to land Large Area Crop Inventory Experiment (LACIE). Large Area Crop Inventory Experiment (LACIE). LACIE use mapping from Landsat data LANDSAT 3X gain study — Kansas. Texas, and Imperial integrated drought plan --- Great Plains Valley, California [IAF PAPER 78-130] p0017 A79-11263 [E79-10045J P0009 N79-13452 [E79-10059] pOOlO N79-13466 Remote sensing oceanographic and terrestrial information Large Area Crop Inventory Experiment (LACIE). Phase LACIE transition project, FY 1978-1979: Reanalysis systems pO029 A79-11379 American Society of Photogrammetry, Fall Technical 1 accuracy assessment plan of CCEA 1 US Great Plains wheat yield models --- Texas, (E79-10046] 0009 N79-13453 Oklahoma. Colorado. Kansas. North Dakota. South Dakota. Meeting. Little Rock. Ark.. October 18-21. 1977. P Large Area Crop Inventory Experiment (LACIE). Level Minnesota, Nebraska, Montana, Badlands, and Red River Proceedings p0037 A79-11657 3 baseline; LACIE Information Evaluation (IE) Valley 40 years of Mississippi River floodplain change assessed implementation/operations plan [E79-10062) pOOlO N79-13469 by aerial photography p0033 A79-11661 Mapping land covers from satellite images - A basic, [E79-10047] pOO09 N79-13454 Experiment design session: Growth stage estimation low cost approach p0017 A79-11664 Large Area Crop Inventory Experiment (LACIE). LACIE — South Dakota and Kansas p0012 N79-14461 Landsat change detection can aid in water quality phase 2 accuracy assessment plan Experiment design session: Wheat yield model monitoring pO033 A79-1 1667 [E79-10048] p0009 N79-13455 development — Oklahoma. North Dakota, and Kansas Techniques for land use change detection using Landsat Large Area Crop Inventory Experiment (LACIE). Test pOOl 2 N79-14462 imagery pO017 A79-11668 and evaluation plan for KSU and CCEA phase 3 yield models System implementation and Operations session: A reduction in ag./residential signature conflict using --- India. China. U.S.S.R., Canada. Argentina. Australia. Classification and mensuration, an approach to LANDSAT principal components analysis of Landsat temporal data North Dakota, and Great Plains data analysis for crop identification — U.S.S.R.. Kansas. p0017 A79-11669 [E79-10O49] p0009 N79-13456 North Dakota, and Montana p0013 N79-14467 The use of Landsat-derived land cover data in a flood Large Area Crop Inventory Experiment (LACIE). Experiment results session: Accuracy and performance peak correlation study p0033 A79-11755 Implementation plan for operations coordination center of LACIE yield estimates — Great Plains. North Dakota. Texture-tone analysis for automated land-use mapping [E79-10050] pOOO9 N79-13457 Montana. Oklahoma. Texas. Kansas, Colorado. Nebraska. p0037 A79-13795 Large Area Crop Inventory Experiment (LACIE). LACIE South Dakota. Minnesota. Canada. Australia. Brazil. India, Realistic land use mapping --- using MSS remote sensing CAMS training plan and U.S.S.R. p0014 N79-14483 and aerial photography pO018 A79-14167 [E79-10051] p0009 N79-13458 Experiment results session: Accuracy and performance Spectral and spatial signature recognition in urbanizing Large Area Crop Inventory Experiment (LACIE). LACIE of LACIE crop development models — Texas. Oklahoma, areas of southern California from U-2 color infra-red quick look accuracy assessment report, review of the Kansas, Nebraska, North Dakota. South Dakota. Montana, imagery pCOIS A79-14173 December 17. 1976 CAR --- Minnesota. Montana, Kansas. and Minnesota p0014 N 7 9-14484 A national program for land use and land cover mapping South Dakota. Texas, Oklahoma, and Nebraska Supporting Research and Technology (SRT) session: using remotely sensed data p0018 A79-15034 [E79-10O52] pOO09 N79-13459 Status of yield estimation technology, a review of The automated generation and processing of digital Large Area Crop Inventory Experiment (LACIE). Level second-generation model development --- North Dakota, terrain data for engineering planning pO019 A79-16597 3 baseline: LACIE operations plan Montana. Minnesota. Kansas. South Dakota, Nebraska. Post LANDSAT D advanced concept evaluation [E79-10053] p0009 N79-13460 Colorado. Texas, Oklahoma, and U.S.S R p0049 N79-10096 Large Area Crop Inventory Experiment (LACIE). Level P0014 N79-14489 Remote sensing applied to urban and regional planning. 3 baseline: LACIE project documentation plan Supporting Research and Technology (SRT) session: New A bibliography with abstracts [E79-10O54] POO09 N79-13461 developments in sampling and aggregation for remotely [NTIS/PS-78/0790/2] pO019 N79-10506 Large Area Crop Inventory Experiment (LACIE}. Detection sensed surveys — Texas, Kansas, Nebraska, Oklahoma. A selective bibliography: Remote sensing applications of episodic phenomena on LANDSAT imagery --- Kansas Minnesota, South Dakota, Colorado, and U.S.S.R. in land use and land cover inventory tasks [E79-10055] p0010 N79-13462 pO014 N79-14491 [PB-283027/1] p0019 N79-10509 Large Area Crop Inventory Experiment (LACIE). Analysis of principal component transformed LANDSAT The digital use of LANDSAT data for integrated land Second-generation sampling strategy evaluation report --- data —- Marion, Dickinson, and Morton Counties. Kansas Kansas. North Dakota, and L> S S.R. [E79-1O076J p0040 N79-15355 resource survey: A study in the Eastern Mojave Desert. California p0019 N79-12519 [E79-10056] p0010 N79-13463 The origin of surface lineaments in Nemaha County, Large Area Crop Inventory Experiment (LACIE). Effects Statistical separability and classification of (and use Kansas of non-response including cloud cover on aggregation of classes using image-100 — Brazil lPB-287302/4] p0023 N79-15394 wheat area in the US Great Plains --- Colorado. Kansas. [E79-10022] p0039 N79-12533 KENTUCKY Nebraska, Oklahoma, and Texas The use of Landsat-derived land cover data in a flood Land use survey and mapping and water resources [E79-10057] pOOlO N79-13464 peak correlation study p0033 A79-11755 investigation in Korea Large Area Crop Inventory Experiment (LACIE). LACIE KENYA [E79-10O03] p0035 N79-13425 crop calendar test and evaluation plan The status of existing global crop forecasting — United Deforestation planning for cattle grazing in Amazon Basin (£79-10058] pOOlO N79-13465 States of America, U.S.S.R., Canada. Brazil. Australia. using LANDSAT data Large Area Crop Inventory Experiment (LACIE). Sweden, and Kenya pO012 N79-14450 [E79-10018] pOOOS N79-13431 LANDSAT 3X gain study --- Kansas, Texas, and Imperial KOREA Overview of Brazilian remote sensing activities •-- Valley. California Land use survey and mapping and water resources Amazon Region [E79-10059] pOOlO N79-13466 investigation in Korea [E79-10023] p0049 N79-13434 LACIE transition project." FY 1978-1979: Reanalysis [E79-10003] p0035 N79-13425 Bolivian program of satellite technology of earth of CCEA 1 US Great Plains wheat yield models — Texas. resources, ERTS Oklahoma, Colorado. Kansas, North Dakota. South Dakota. [E79-10036] p0049 N79-13443 Minnesota, Nebraska. Montana, Badlands, and Red River INPE remote sensing program --- Brazil Valley [E79-10061] p0049 N79-13468 [E79-10062] p0010 N79-13469 LAKE MICHIGAN Large Area Crop Inventory Experiment (LACIE). Detecting Eulusmap: An international land resources map utilizing Aircraft instrumentation system for the remote sensing and monitoring agricultural vegetative water stress over satellite imagery of carbon monoxide p0042 A79-15090 large areas using LANDSAT digital data — Great Plains [NASA-TP-1371] p0022 N79-13475 LAKE ONTARIO (E79-10063] pOOlO N79-13470 The blue-to-green reflectance ratio and lake water The inventory and distribution of water and associated Independent Peer Evaluation of the Large Area Crop quality p0029 A79-110OO land resources in the Garrison/Devils Lake Region of ND: Inventory Experiment (LACIE): The LACIE Symposium LAKES An application of resource data acquired [E79-1O009] p0011 N79-14430 Landsat analysis of lake quality for statewide lake [PB-286091/4] p0036 N79-14525 An independent evaluation by the plenary peer review classification p0033 A79-11756 Utilization of orbital data from LANDSAT 1 in the team --- United States of America, U.S.S.R., and Canada Multidate data extraction procedures for a statewide classification of urban land usage of the Sao Jose pOOII N79-14431 Landsat lake quality monitoring program grassland Findings of the experiment results peer group --- United P0033 A79-11757 [E79-10085] p0020 N79-15363 States of America. U.S.S.R.. and Canada An interactive lake survey program --- airborne Application of LANDSAT in the evaluation of argicultural pOOII N79-14432 multispectral sensor image processing and forest resources --- Brazil and Amazon Region Findings of the experiment design peer group p0034 A79-12007 [E79-10088] p0016 N79-15366 pOOII N79-14433 A-11 LASER APPUCATIONS SUBJECT INDEX

Findings of the system implementation and operations Experiment results session: Accuracy and performance LIMESTONE peer group p0011 N79-14434 of LACIE yield estimates — Great Plains. North Dakota. Mineral precipitation in north slope aufeis Findings of the data processing systems design peer Montana. Oklahoma. Texas. Kansas. Colorado. Nebraska, [NASA-TM-79642] p'0026 N79-10502 group pOOII N79-14435 South Dakota. Minnesota, Canada, Australia. Brazil. India, LIMNOLOGY Findings of the USDA applications test system peer and U.S.S.R. pOOU N79-14483 The blue-to-green reflectance ratio and lake water group pOOII N79-14436 Experiment results session: Accuracy and performance quality p0029 A79-11000 Findings of the LACIE supporting research peer group of LACIE crop development models — Texas. Oklahoma. Summary report - Application of Landsat to the pOOII N79-14437 Kansas. Nebraska. North Dakota. South Dakota. Montana, surveillance of lake eutrophication in the Great Lakes Proceedings of Plenary Session: The LA Cl E and Minnesota p0014 N79-14484 basin pO033 A79-11758 Symposium Experiment results session: Economic evaluation; UTHOLOGY (E79-1O028] pOOl! N79-14449 concepts, selected studies, system cost, and a proposed Land use survey and mapping and water resources The status of existing global crop forecasting — United program p0014 N79-14485 investigation in Korea States of America. U.S.S.R.. Canada. Brazil. Australia. [E79-10003] pO035 N79-13425 Supporting Research and Technology (SRT) session: Sweden, and Kenya p0012 N79-14450 LIVESTOCK Supporting research, a focused approach to research The use of LANDSAT data for the establishment, control LACIE: An experiment in global crop forecasting — development p0014 N79-14486 United States of America and U.S.S.R. p0012 N79-H451 and supervision of pasture projects in the southeast Amazon Supporting Research and Technology (SRT) session: region LACIE applications evaluation system: A design Methods for segment wheat area estimation overview pOOt2 N 79-14452 IE79-10016J P0007 N79-12530 p0014 N79-14487 Deforestation planning for cattle grazing in Amazon Basin The LACIE supporting research program: A focused Supporting Research and Technology (SRT) session: using LANDSAT data approach to research and development Manual identification of crop types p0014 N79-14488 (E79-10018] pOOOS N79-13431 p0012 N79-14453 Supporting Research and Technology (SRT) session: LONG TERM EFFECTS Data processing systems in support of LACIE and future Status of yield estimation technology, a review of Future applications of a satellite observation system for agricultural research programs p0012 N79-14454 second-generation model development — North Dakota. the long-term monitoring of geodynamic processes Technology transfer: Concepts, user requirements, and Montana, Minnesota. Kansas. South Dakota, Nebraska. [DGLR PAPER 78-147} pOOIS A79-14093 a practical application pOO49 N79-14455 Colorado. Texas.Oklahoma. and U.S.S.R. LOUISIANA The impact of LACIE on a national meteorological p0014 N79-14489 Ecosystem alteration detection by aerial color infrared capability — Canada and U.S.S.R. pO020 N79-14456 Supporting Research and Technology (SRT) session: photography and satellite multispectral scanner The outlook for satellite remote sensing for crop Prediction of wheat phonological development, a pOOIS A79-I2O94 inventory pOO12 N79-14457 state-of-the-art review p0014 N79-14490 FLAME: Forestry Lands Allocated for Managing energy. Briefing Materials for Technical Presentations, Volume Supporting Research and Technology (SRT) session: New Feasibility study A: The LACIE Symposium developments in sampling and aggregation for remotely [AD A059993) p0015 N79-14507 [E79-10030) p0012 N79-14458 sensed surveys — Texas, Kansas, Nebraska. Oklahoma, A determination of the optimum time of year for remoteh/ classifying marsh vegetation from LANDSAT multispectral Experiment design session: Experiment design Minnesota. South Dakota. Colorado, and U.S.S.R. scanner data --- Louisiana overview p0012 N79-14459 p0014 N79-14491 (E79-10O84J 0036 N79-15362 USDA Application Test System (ATS) session: P Experiment design session: Sampling and aggregation LOW COST Technology transfer; concepts, user requirements, end their in LACIE p0012 N79-14460 Mapping land covers from satellite images - A basic, practical application •-- Montana. North Dakota, and Experiment design session: Growth stage estimation low cost approach pO017 A79-11664 — South Dakota and Kansas pO012 N79-14461 U.S.S.R. pO014 N79-14492 Experiment design session: Wheat yield model USDA Application Test System (ATS) session: The development — Oklahoma. North Dakota, and Kansas application lest system, an approach for technology transfer M pOO12 N79-14462 — Montana. North Dakota, and U.S.S.R. p0015 N79-14493 Experiment design session: Classification and MALAYA mensuration approach --- Montana pO012 N79-14463 USDA Application Test System (ATS) session: Functional definition and design of a USDA system On the nature of base flow and groundwater occurrences Experiment design session; Accuracy assessment, the p0015 N79-14494 in the Serayu River basin p0034 A79-19895 statistical approach to performance evaluation MAN MACHINE SYSTEMS pOOT3 N79-14464 USDA Application Test System (ATS) session: ATS. Data processing systems design session: Man-machine technical approach and system design interface in LACIE ERIPS p0039 N79-14475 System implementation and operations session: The P0015 N79-14495 LACIE Application Evaluation System (AES). a design MANAGEMENT METHODS overview p0013 N79-14465 USDA Application Test System (ATS) session: Data Large Area Crop Inventory Experiment (LACIE). base design for a worldwide multicrop information system System implementation and operations session: Implementation plan for operations coordination center — U.S.S.R. pOOIS N79-14496 Acquisition and preprocessing of LAND SAT data [E79-10050} p0009 N79-13457 pO013 N79-14466 USDA Application Test System (ATS) session: ATS MANAGEMENT PLANNING experience to date and future plans — United States of Large Area Crop Inventory Experiment (LACIE). LACIE System implementation and operations session: America. U.S.S.R., and Canada p0015 N79-14497 Classification and mensuration, an approach to LANDS AT phase 3 analyst field trip plan — North Dakota, South USDA Application Test System (ATS) session: Resource Dakota, and Kansas data analysis for crop identification — U.S.S.R.. Kansas. modelling, a reality for program cost analysis [E79-10O41] pOOOS N79-13448 North Dakota, and Montana pOO13 N79-14467 p0015 N79-14498 Large Area Crop Inventory Experiment (LACIE). LACIE System implementation and operations session: Large Area Crop Inventory Experiment (LACIE). Review phase 3 interim accuracy assessment plan Implementation and operation of yield forecasting and crop of LACIE methodology, a project evaluation of technical [E79-10O43] pOOO9 N79-13450 growth stage estimation -— Montana. North Dakota. South acceptability Large Area Crop Inventory Experiment (LACIE). LACIE Dakota. Nebraska, and Wyoming p0013 N79-14468 JE79-10069J pOOIS N79-15348 phase 3 accuracy assessment plan System implementation and operations session: System Large Area Crop Inventory Experiment (LACJE/. Level JE79-10O44] pOOO9 N79-13451 implementation and approaches used for generation of crop 3 baseline; Classification And Mensuration Subsystem Large Area Crop Inventory Experiment (LACIE). Level production reports p0013 N79-14469 (CAMS) requirements, volume 2. revision E 3 baseline; LACIE project documentation plan System implementation and operations session: [E79-10070] pOOIS N79-15349 [E79-10054] pOOO9 N79-13461 Accuracy assessment, system implementation and Large Area Crop Inventory Experiment (LACIE). The nation's water resources, the second national water operation — Oklahoma, Montana. Minnesota, and Yield-weather regression models for the Canadian prairies assessment. Part 2: Water management problem U.S.S.R. p0013 N79-14470 — Alberta. Saskatchewan, and Manitoba profiles System implementation and operations session: LACfE IE79-10071J p0016 N79-15350 [PB-285748/0] pO035 N79-145i3 AES efficiency report -•- United States of America and Nationwide forestry applications program. A literature MANITOBA U.S.S.R. p0013 N79-14471 review of major remote sensing projects mapping forest Large Area Crop Inventory Experiment (LACIE). Data processing systems design session: Data processing land in the United States, using satellite data and automatic Yield-weather regression models for the Canadian prairies systems overview pO013 N79-14472 data processing — Alberta. Saskatchewan, and Manitoba IE79-10072] pO016 N79-15351 Data processing systems design session: Evolution of [E79-10O71] p0016 N79-15350 Large Area Crop Inventory Experiment (LACIE). Level the Earth Resources Interactive Processing System 3 baseline; system performance evaluation, report MAPPING (ER1PS) pO013 N79-14473 integration (SPE-RI) requirements, volume 6-B Quantitative mapping of paniculate iron in an ocean dump using remotely sensed data pO029 A79-11766 Data processing systems design session: Data base [E79-10073] PO016 N79-15352 design considerations p0039 N79-14474 Analysis of principal component transformed LANDS AT Digital terrain models - An overview Data processing systems design session: Man-machine data *-- Marion, Dickinson, and Morion Counties, Kansas p0021 A79-18193 interface in LACIE ERIPS p0039 N79-14475 [E79-10076] p0040 N79-15355 DTM application in topographic mapping Data processing systems design session: Very high speed Test and evaluation of principal component cluster images pO021 A79-18194 processing as related to pixel-dependent tasks in LACIE Production mapping with orthophoto digital terrain p004O N79-14476 [E79-10077] DO016 N79-15356 models p0021 A79-18195 Data processing systems design session: The The Large Area Crop Inventory Experiment (LACIE). An Experimental investigation into the accuracy of contouring cartographic laboratory --• Wilkin County. Minnesota application of remote sensing by multispectral scanners from DTM — digital terrain models p0021 A79-18196 p0013 N79-14477 [E79-10091} PO016 N79-15369 Mapping ocean tides with satellites - A computer Data processing systems design session: Some cost LAKH APPUCATIONS simulation pOO38 A79-18324 performance characteristics of several data system Laboratory studies of in vivo fluorescence of phytoplankton p0030 A79-15119 Detection and mapping package. Analyst's guide: configurations for processing remoteh/ sensed data interpreting impounded surface water LASER RANGE FINDERS p0040 N79-14478 [E79-1O067] p0036 N79-15347 Geodetic high precision measurements in active tectonic Data processing systems design session: Equipment areas P0022 N79-12503 Nationwide forestry applications program. A literature Selection criteria for R and D image processing review of major remote sensing projects mapping forest pOO40 N79-14479 LEAVES Determination and error analysis of emittance and land in the United States, using satellite data and automatic Briefing Materials for Technical Presentations. Volume spectral eminence measurements by remote sensing data processing B: The LACIE Symposium [E79 10021) pO007 N79-12532 [E79-10072] P0016 N79-15351 [E79-1O0311 p0013 N79-1448O LEGUMINOUS PLANTS Application of remote sensing to selected problems within Experiment results session: LACIE crop years, an Bean area estimates from Landsat and airborne remote the state of California assessment of crop conditions — Great Plains. U.S.S.R.. sensing data pO002 A79-11659 [E79-10075} p0050 N79-15354 and Canada pO014 N79-14481 LIGHT SCATTERING MAPS Experiment results session: Accuracy and performance Estimation of soil moisture and components by measuring Bolivian program of satellite technology of earth of LACIE estimates — Minnesota. Oklahoma. North Dakota. the degree of spectral polarization with a remote sensing resources. ERTS Great Plains. Canada, and U.S.S.R. pO014 N79-14482 simulator pO041 A79-11748 [E79-10036} p0049 N79-13443 A-12 SUBJECT INDEX MONTANA

Eulusmap: An international land resources map utilizing Briefing Materials for Technical Presentations. Volume Experiment results session: Accuracy and performance satellite, imagery B: The LACIE Symposium of LACIE estimates — Minnesota. Oklahoma. North Dakota. [NASA-TP-1371] p0022 N79-13475 [E79-10031] p0013 N79-14480 Great Plains. Canada, and U.S.S.R. p0014 N79-14482 Data processing systems design session: The Experiment results session: LACIE crop years, an Experiment results session: Accuracy and performance cartographic laboratory — Wilkin County. Minnesota assessment of crop conditions — Great Plains. U.S.S.R.. of LACIE yield estimates — Great Plains. North Dakota. p0013 N79-14477 and Canada p0014 N79-14481 Montana. Oklahoma. Texas, Kansas. Colorado. Nebraska. The application of remote sensors to a model for fish Supporting Research and Technology (SRT) session: South Dakota. Minnesota, Canada. Australia. Brazil. India. mapping Supporting research, a focused approach to research andUS.S.H. p0014 N 79-14483 [INPE-1379-PE/176] pOO31 N79-14712 development p0014 N79-14486 USDA Application Test System {ATS) session: Data Experiment results session: Accuracy and performance MARINE BIOLOGY base design for a worldwide multicrop information system of LACIE crop development models --- Texas, Oklahoma. Application of remote sensing to the estimation of --- U.S.S.R. p0015 N79-14496 Kansas. Nebraska. North Dakota, South Dakota. Montana. chlorophyll in ocean water USDA Application Test System (ATS) session: ATS and Minnesota p0014 N79-14484 [INPE-1380-PE/177J p0031 N79-14699 experience to date and future plans — United States of Supporting Research and Technology (SRT) session: MARINE ENVIRONMENTS America. U.S.S.R.. and Canada pOOIS N79-14497 Status of yield estimation technology, a review of Interdisciplinary application of the 'DIBIAS' digital image METHODOLOGY second-generation model development — North Dakota, processing system to geological and maritime problems Large Area Crop Inventory Experiment (LACIE). Review Montana. Minnesota. Kansas. South Dakota. Nebraska. p0038 A79-14181 of LACIE methodology, a project evaluation of technical Colorado. Texas. Oklahoma, and U.S.S.R. MARINE METEOROLOGY acceptability p0014 N79-14489 Application of LA NO SAT satellite imagery and [E79-10O69] p0015 N79-15348 oceanographic data for verification of an upwelling Supporting Research and Technology {SRT) session: New MEXICO developments in sampling and aggregation for remotely mathematical model --- Atlantic Coast of Brazil A review of the uses of Landsat imagery in Mexico [E79-10026) p0031 N79-13437 sensed surveys — Texas, Kansas. Nebraska. Oklahoma, p0037 A79-11663 Minnesota. South Dakota. Colorado, and U.S.S.R. MARINE RESOURCES MICHIGAN p0014 N79-14491 Application of space remote sensing technology to living Michigan resource inventories - Characteristics and costs marine resources in coastal zones of selected projects using high altitude color infrared Nationwide forestry applications program. A literature [IAF PAPER 78-110] p0029 A79-11248 imagery pO037 A79-11384 review of major remote sensing projects mapping forest Overview of Brazilian remote sensing activities --- Summary report - Application of Landsat to the land in the United States, using satellite data and automatic Amazon Region surveillance of lake eutrophication in the Great Lakes data processing IE79-10023) p0049 N79-13434 basin p0033 A79-11758 (E79-10072] p0016 N79-15351 INPE remote sensing program — Brazil The effect of canopy composition on the measured and MISSION PLANNING [E79-1Q061] p0049 N79-13468 calculated reflectance of conifer forests in Michigan Post LANDSAT D advanced concept evaluation p0003 A79-17881 Commercial fishing port development in north Florida p0049 N79-10096 MICROCOMPUTERS --- Escambia, Bay, Gulf, Franklin. Wakulla. Nassau, and Microwave remote sensing from space for earth resource The Seasat-A satellite radar altimeter spaceborne Ouval Counties surveys microcomputer p0043 A79-18869 [E79-10078] p0031 N79-15357 [NASA-CR-157891] p0043 N79-10497 MICROOENMTOMETERS MARKETING Microdensitomelry to identify Douglas-fir tussock moth OAST Space Theme Workshop. Volume 2: Theme Experiment results session: Economic evaluation; defoliation on color IR aerial photos pOOO4 A79-17885 summary. 5: Global service (no. 11). A. Statement. B. concepts, selected studies, system cost, and a proposed MICROWAVE RADIOMETERS 26 April 1976 presentation. C. Summary program pQ014 N79-14485 Advanced systems requirements for ocean observations [NASA-TM-8O006] pOOSO N79-15118 MARKING via microwave radiometers MISSISSIPPI RIVER (US) Secondary error analysis: The evaluation of analyst dot [A1AA PAPER 78-1737] p0030 A79-13850 40 years of Mississippi River fioodplain change assessed labeling An airborne X-band microwave radiometer — for soil by aerial photography p0033 A79-11661 [E79-10011] p0007 N79-12527 moisture measurements MISSOURI MARSHLANDS [ISBN-0-643-00314-2] p0044 N79-12410 Applications of HCMM satellite data to the study of urban A comprehensive data processing plan for crop calendar MICROWAVE SCATTERING heating patterns --- St. Louis, Missouri and Los Angeles. MSS signature development from satellite imagery: Crop Experiment on the interaction of microwaves with natural California identification using vegetation phenology surfaces from the viewpoint of their use in the remote [E79-10040I pO020 N79-13447 [E79-10001] P0007 N79-13424 sensing of agricultural zones MODELS A determination of the optimum time of year for remotely [IAF PAPER 78-ST-01] pOOOl A79-11357 Experiment design session: Wheat yield model classifying marsh vegetation from LA NO SAT multispectral MICROWAVE SENSORS development — Oklahoma. North Dakota, and Kansas scanner data — Louisiana Active microwave sensing of the earth's surface - A mini p0012 N79-14462 review pOO42 A79-15464 [E79-10084] p0036 N79-15362 MOISTURE CONTENT MATHEMATICAL MODELS Microwave remote sensing from space for earth resource Large Area Crop Inventory Experiment (LACIE). Detecting Application of LANDS AT satellite imagery and surveys and monitoring agricultural vegetative water stress over oceanographic data for verification of an upwelling [NASA-CR-157891] p0043 N79-10497 large areas using LANDSAT digital data — Great Plains mathematical model — Atlantic Coast of Brazil MINERAL DEPOSITS [E79-10O63] pOOlO N79-13470 [E79-10026] P0031 N79-13437 Remote sensing applied to geology and mineralogy. A Experiment results session: LACIE crop years, an Large Area Crop Inventory Experiment tLACIE). Test bibliography with abstracts assessment of crop conditions — Great Plains, U.S.S.R., [NT1S/PS-78/0791/0] p0026 N79-10507 and evaluation plan for KSU and CCEA phase 3 yield models and Canada P0014 N79-14481 --- India. China, U.S.S.R.. Canada. Argentina, Australia. Application of LANDSAT images in the Minas Gerais MOJAVE DESERT (CA) North Dakota, and Great Plains tectonic division The digital use of LANDSAT data for integrated land [E79-10049] pOO09 N79-13456 [NASA-TM-75584] p0027 N79-14501 resource survey: A study in the Eastern Mojave Desert. Experiment results session; Accuracy and performance MINERAL EXPLORATION California pOO19 N79-12519 of LACIE yield estimates — Great Plains. North Dakota. Prospecting by satellite pOO47 A79-11475 MONTANA Montana. Oklahoma. Texas, Kansas. Colorado. Nebraska. Overview of Brazilian remote sensing activities — Large Area Crop Inventory Experiment (LACIE). LACIE South Dakota. Minnesota. Canada, Australia, Brazil. India, Amazon Region quick look accuracy assessment report, review of the and U.S.S.R. p0014 N79-14483 [E79-10023] p0049 N79-13434 December 17, 1976 CAR — Minnesota. Montana. Kansas. Experiment results session: Accuracy and performance INPE remote sensing program — Brazil South Dakota, Texas, Oklahoma, and Nebraska Of LACIE crop development models — Texas. Oklahoma. [E79-10O61] p0049 N79-13468 [E79-1OO52) pOO09 N79-13459 Kansas, Nebraska. North Dakota, South Dakota, Montana, MINERALS Large Area Crop Inventory Experiment /LACIE}. and Minnesota pOO14 N79-14484 Remote sensing applied to surveying the thermomineral LANDSAT 3X gain study -•- Kansas. Texas, and Imperial Supporting Research and Technology (SRT) session: water region of Caldas Novas. Goias Valley. California Supporting research, a focused approach to research [E79-10014] p0027 N79-12529 [E79-1O059] p0010 N79-13466 development pO014 N79-14486 The application of remote sensors in the interpretation LACIE transition project. FY 1978-1979: Reanalysis Supporting Research and Technology (SRT) session: of LANDSAT data for regional geological mapping in the of CCEA 1 US Great Plains wheat yield models — Texas. Status of yield estimation technology, a review of central portion of Minas Gerais Oklahoma. Colorado. Kansas. North Dakota. South Dakota. second-generation model development — North Dakota. [E79-10039] p0027 N79-13446 Minnesota. Nebraska. Montana. Badlands, and Red River Montana. Minnesota. Kansas. South Dakota. Nebraska, MINNESOTA Valley Colorado. Texas. Oklahoma, and U.S.S.R. The use of OR aerial photography for Dutch elm disease [E79-1O062] pO010 N79-13469 pO014 N79-14489 detection — Color IR p0004 A79-17892 Experiment design session: Classification and USOA Application Test System (ATS) session: Resource Nationwide forestry applications program: mensuration approach — Montana p0012 N79-14463 rnodelling, a reality for program cost analysis Ten-Ecosystem Study (TES) site 3. St. Louis County, System implementation and operations session: PO015 N79-14498 Minnesota Classification and mensuration, an approach to LANDSAT MAXIMUM LIKELIHOOD ESTIMATES [E79-10034] pOOOS N79-13441 data analysis for crop identification — U.S.S.R.. Kansas. Evaluation of Landsat image data for land-use mapping Large Area Crop Inventory Experiment (LACIE). LACIE North Dakota, and Montana pO013 N79-14467 llAF PAPER 78-llfl] pOOI7 A79-11266 quick look accuracy assessment report, review of the System implementation and operations session: MCRCATOR PROJECTION December 17. 1976 CAR --- Minnesota. Montana, Kansas, Implementation and operation of yield forecasting and crop A distortion-free map projection for analysis of satellite South Dakota. Texas, Oklahoma, and Nebraska growth stage estimation --- Montana, North Dakota, South imagery p0038 A79-14197 [E79-10052] pOO09 N79-13459 Dakota, Nebraska, and Wyoming p0013 N79-14468 METEOROLOGICAL CHARTS System implementation and operations session: LACIE transition project. FY 1978-1979: Reanarysis System implementation and operations session: Implementation and operation of yield forecasting and crop of CCEA 1 US Great Plains wheat yield models — Texas. Accuracy assessment, system implementation and growth stage estimation — Montana. North Dakota. South Oklahoma, Colorado. Kansas, North Dakota, South Dakota, operation --- Oklahoma, Montana, Minnesota, and Dakota, Nebraska, and Wyoming pO013 N79-14468 Minnesota, Nebraska. Montana. Badlands, and Red River U.S.S.R. p0013 N79-14470 METEOROLOGICAL PARAMETERS Valley Experiment results session: Accuracy and performance The variational analysis of June 11.1973. meteorological [E79-10062] pOOlO N79-13469 of LACIE yield estimates — Great Plains. North Dakota, data pO044 N79-14442 System implementation and operations session: Montana, Oklahoma, Texas, Kansas, Colorado, Nebraska, METEOROLOGY Accuracy assessment, system implementation and South Dakota, Minnesota, Canada, Australia, Brazil. India, Earth observations and photography experiment: operation — Oklahoma. Montana. Minnesota, and and U.S.S.R. pO014 N79-14483 Summary of significant results U.S.S.R. pO013 N79-14470 Experiment results session: Accuracy and performance [NASA-CR-157780] pO043 N79-10498 Data processing systems design session: The of LACIE crop development models — Texas. Oklahoma. Th« impact of LACIE on a national meteorological cartographic laboratory --- Wilkin County. Minnesota Kansas. Nebraska. North Dakota. South Dakota, Montana. Capability — Canada and U.S.S.R. PO020 N79-14456 p0013 N79-14477 and Minnesota pO014 N79-14484 A-13 MOROCCO SUBJECT INDEX

Supporting Research and Technology (SRT) session: N Large Area Crop Inventory Experiment (LACIE). LACIE Status of yield estimation technology, a review of quick look accuracy assessment report, review of the second-generation model development ••• North Dakota. December 17. 1976 CAR — Minnesota. Montana. Kansas. NASA PROGRAMS Montana. Minnesota. Kansas. South Dakota, Nebraska. South Dakota. Texas. Oklahoma, and Nebraska Cornell's remote sensing program - Remote sensing for 1E79-1O052] OOO9 N79-13459 ' Colorado. Texas. Oklahoma and U.S.S.R. . the user p0048 A79-11753 P pOOU N79-14489 Large Area Crop Inventory Experiment (LACIE). Effects Remote sensing program in earth resources --- NASA Supporting Research and Technology (SRT) session: of non-response including cloud cover on aggregation of data systems pO048 A79-16187 Prediction of wheat phenological development, a wheat area in the US Great Plains --- Colorado. Kansas, state-of-the-art review pO014 N79-14490 Cost benefit assessment of NASA remote sensing Nebraska. Oklahoma, and Texas technology transferred to the State of Georgia USDA Application Test System (ATS) session: (E79-10057] pOOlO N79-13464 p0048 A79-16554 Technology transfer; concepts, user requirements, and their Large Area Crop Inventory Experiment (LACIE). LACIE practical application --• Montana. North Dakota, and OAST Space Theme Workshop. Volume 2: Theme crop calendar test and evaluation plan U.S.S.R. p0014 N79-14492 summary. 5: Global service (no. 11). A. Statement. B. [E79-10058] pOOlO N79-13465 26 April 1976 presentation. C. Summary Large Area Crop Inventory Experiment (LACIE). Detecting USDA Application Test System (ATS) session: The [NASA-TM-80O06] p0050 N79-15118 and monitoring agricultural vegetative water stress over application test system, an approach for technology transfer NEBRASKA large areas using LANDSAT digital data — Great Plains — Montana. North Dakota, and U.S.S.R. [E79-10063] pOOlO N79-13470 p0015 N79-14493 Large Area Crop Inventory Experiment {LACIE). LACIE quick look accuracy assessment report, review of the .Briefing Materials for Technical Presentations. Volume MOROCCO December 17. 1976 CAR — Minnesota. Montana. Kansas, B: The LACIE Symposium Interdisciplinary application of the 'DIB1AS' digital image South Dakota. Texas. Oklahoma, and Nebraska [E79-10031) p0013 N79-14480 processing system to geological and maritime problems [E79-10052] pOOO9 N79-13459 Experiment results session: LACIE crop years, an pO038 A79-14181 Large Area Crop Inventory Experiment (LACIE). Effects assessment of crop conditions --- Great Plains, U.S.S.R.. MORTALITY of non-response including cloud cover on aggregation of and Canada p0014 N79-14481 Remote sensing for determination of seedling survival wheat area in the US Great Plains — Colorado. Kansas, Experiment results session: Accuracy and performance — for reforestation of clear cut areas pOOOS A79-17902 Nebraska. Oklahoma, and Texas of LACIE estimates — Minnesota. Oklahoma. North Dakota. MOTHS [E79-10057] pOOlO N79-13464 Great Plains. Canada, and U.S.S.R. pO014 N79-14482 Experiment results session: Accuracy and performance Quantifying gypsy moth defoliation p0002 A79-13794 LACIE transition project, FY 1978-1979: Reanalysis of LACIE yield estimates --- Great Plains. North Dakota. MOUNTAINS of CCEA 1 US Great Plains wheat yield models — Texas. Montana, Oklahoma. Texas. Kansas. Colorado. Nebraska. Application of remote sensing to selected problems within Oklahoma. Colorado. Kansas. North Dakota. South Dakota. South Dakota. Minnesota, Canada, Australia. Brazil. India, the state of California Minnesota. Nebraska.'Montana. Badlands, and Red River and U.S.S.R. pO014 N79-14483 [E79-10075] pOOSO N79-15354 Valley Experiment results session: Accuracy and performance MULTIPLE SEAM INTERVAL SCANNERS [E79-10062] pOOlO N79-13469 A system concept for wide swath constant incident angle of' LACIE crop development models — Texas. Oklahoma. System implementation and operations session: Kansas. Nebraska. North Dakota. South Dakota, Montana, coverage --- for SAR environmental monitoring from Implementation and operation of yield forecasting and crop space pO042 A79-15744 and Minnesota p0014 N79-14484 growth stage estimation — Montana. North Dakota. South Supporting Research and Technology (SRT) session: New MULTISPECTRAL SAND SCANNERS Dakota. Nebraska, and Wyoming p0013 N79-14468 developments in sampling and aggregation for remotely The value of volume and growth measurements in timber Experiment results session: Accuracy and performance sensed surveys — Texas, Kansas. Nebraska. Oklahoma, sales management of the National Forests of LACIE yield estimates — Great Plains. North Dakota. Minnesota, South Dakota, Colorado, and U.S.S.R. pO001 A79-11389 Montana. Oklahoma. Texas, Kansas. Colorado, Nebraska, P0014 N79-14491 Multidate/multispectral crop identification - Digital South Dakota. Minnesota. Canada. Australia. Brazil. India, The nation's water resources, the second national water techniques applied to high altitude photography and Landsat and U.S.S.R. pO014 N79-14483 assessment. Part 5: Regional assessment summaries imagery pOO02 A79-11660 Experiment results session: Accuracy and performance [PB-285751/4] p0036 N79-14516 Multispectral remote observations of hydrologic features of LACIE crop development models — Texas. Oklahoma. Large Area Crop Inventory Experiment (LACIE). Review on the North Slope of Alaska pO033 A79-11672 Kansas. Nebraska. North Dakota, South Dakota, Montana. of LACIE methodology, a project evaluation of technical Ecosystem alteration detection by aerial color infrared and Minnesota P0014 N79-14484 acceptability photography and satellite multispectral scanner Supporting Research and Technology (SRT) session: [E79-10069] pOOIS N79-15348 pOO18 A79-12094 Status of yield estimation technology, a review of Large Area Crop Inventory Experiment (LACIE). Multispectral classification on tidal lands second-generation model development — North Dakota. Yield-weather regression models for the Canadian prairies pO030 A79-14158 Montana. Minnesota, Kansas. South Dakota. Nebraska. -— Alberta, Saskatchewan, and Manitoba A branched classification system applied to special Colorado, Texas, Oklahoma and U.S.S.R. [E79-10071] pO016 N79-15350 problems in multispectral data analysis —- for crop pO014 N79-14489 The Large Area Crop Inventory Experiment (LACIE). An identification pOO03 A79-14176 Supporting Research and Technology (SRT) session: New application of remote sensing by multispectral scanners [E79-10091] p0016 N79-15369 Evaluation of multispectral scanner data by hybrid developments in sampling and aggregation for remotely NORTH CAROLINA methods pO042 A79-14178 sensed surveys — Texas. Kansas. Nebraska. Oklahoma. Development of a pollutant monitoring system for Trophic classification of Colorado lakes utilizing contact Minnesota, South Dakota. Colorado, and U.S.S.R. p0014 N79-14491 biosphere reserves and results of the Great Smoky data. Landsat and aircraft-acquired multispectral scanner Mountains pilot study p0019 A79-15082 The origin of surface lineaments in Nemaha County. data pO034 A79-15132 The ecology of four coastal lakes in North Carolina: Kansas Identification of descriptive parameters in MSS system Trophic states measured from space imagery [PB-287302/4] pO023 N79-15394 by multivariate analysis and spline fining --- for sea surface p0034 N79-12523 or soil mapping pO038 A79-16775 NEVADA NORTH DAKOTA Optimum thermal infrared bands for mapping general Preliminary runoff and streamflow predictions in the Digital image analysis applications in state natural rock type and temperature from space Humboldt River basin based on snow distribution resource agencies pO048 A79-16180 [NASA-CR-151842) pO026 N79-11449 measurements from sequential satellite imagery Analysis of scanner data for crop inventories --- Kansas |PB 286122/7) p0036 N79-14518 Separability of agricultural cover types in spectral and North Dakota channels and wavelength regions Mapping of Earth fissures in Las Vegas Valley. Nevada [E79-10037] pOOO8 N79-13444 [NASA-CR-157803) p0006 N79-11451 [PB 286969/1) p0023 N79-15508 Large Area Crop Inventory Experiment (LACIE). LACIE Application of multispectral scanner data to the study NEW ENGLAND (US) phase 3 analyst field trip plan — North Dakota. South of an abandoned surface coal mine Monitoring gypsy moth defoliation by applying change Dakota, and Kansas [NASA-TM-78912] pO027 N79-13472 detection techniques to Landsat imagery (E79-10041] pOOOS N79-13448 pO004 A79-17887 A determination of the optimum time of year for remotely Large Area Crop Inventory Experiment (LACIE). Test classifying marsh vegetation from LANDSAT multispectral The nation's water resources, the second national water and evaluation plan for KSU and CCEA phase 3 yield models scanner data --- Louisiana assessment. Part 5: Regional assessment summaries --- India, China. U.S.S.R., Canada. Argentina, Australia, [E79-10084] pO036 N79-15362 [PB 285751/4] pO036 N79-14516 North Dakota, and Great Plains [E79-10049] p0009 N79-13456 The Large*Area Crop Inventory Experiment (LACIE). An NEW YORK application of remote sensing by multispectral scanners The blue-to-green reflectance ratio and lake water Large Area Crop Inventory Experiment (LACIE). [E79-10091] pOO16 N79-15369 quality pOO29 A79-11000 Second-generation sampling strategy evaluation report Cornell's remote sensing program - Remote sensing for Kansas. North Dakota, and U.S.S.R. MULTISPECTRAL PHOTOGRAPHY [E79-1O056] pOOlO N79-13463 Evaluation of Landsat image data for land-use mapping the user p0048 A79-11753 [IAF PAPER 78-118] pO017 A79-11256 NIGER LACIE transition project. FY 1978-1979: Reanalysis of CCEA 1 US Great Plains wheat yield models — Texas. An interactive lake survey program — airborne Future applications of a satellite observation system for Oklahoma. Colorado. Kansas. North Dakota. South Dakota. multispectral sensor image processing the long-term monitoring of geodynamic processes Minnesota. Nebraska. Montana. Badlands, and Red River p0034 A79-12007 [DGLR PAPER 78-147] pOOIS A79-14O93 NOAA SATELLITES Valley Realistic land use mapping --- using MSS remote sensing [E79-10062] pOOlO N79-13469 and aerial photography pOOIS A79-141B7 Satellite activities of NOAA 1977 pCO49 N79-12131 NOAA B SATELLITE Experiment design session: Wheat yield model Landsat - Developing techniques and applications in development --- Oklahoma. North Dakota, and Kansas mineral and petroleum exploration pO026 A79-16725 Coastal zone and open ocean observations from NOAA satellite very high resolution radiometers P0012 N79-14462 The importance of repeated and multispectral analyses [PB-284445/4] pO031 N79-11648 System implementation and operations session: in geological-structural applications of data obtained from Classification and mensuration, an approach to LANDSAT space p0026 A79-16777 NORTH AMERICA Summary report - Application of Landsat to the data analysis for crop identification — U.S.S.R.. Kansas. SAR/LANDSAT image registration study surveillance of lake eutrophication in the Great Lakes North Dakota, and Montana p0013 N79-14467 [E79-10035] p0039 N79-13442 basin 0033 A79-11758 System implementation and operations session: Eulusmap: An international land resources map utilizing P Landsat geologic reconnaissance of the Washington. D.C. Implementation and operation of yield forecasting and crop satellite imagery area westward to the Appalachian Plateau growth stage estimation — Montana, North Dakota. South [NASA-TP-1371] p0022 N79-13475 pO025 A79-11763 Dakota. Nebraska, and Wyoming pO013 N 79 14468 MULTISPECTRAL RADAR Large Area Crop Inventory Experiment (LACIE). LACIE Experiment results session: Accuracy and performance A selective bibliography: Remote sensing applications integrated drought plan — Great Plains of LACIE estimates — Minnesota. Oklahoma. North Dakota. in land use and land cover inventory tasks [E79-10045] pO009 N79-13452 Great Plains. Canada, and U.S.S.R. pO014 N79-14482 [PB 283027/1) pO019 N79-10509 Large Area Crop Inventory Experiment (LACIE). Test Experiment results session: Accuracy and performance MULTIVARIATE STATISTICAL ANALYSIS and evaluation plan for KSU and CCEA phase 3 yield models of LACIE yield estimates — Great Plains. North Dakota. Identification of descriptive parameters in MSS system --- India. China, U.S.S.R.. Canada. Argentina. Australia. Montana. Oklahoma. Texas. Kansas, Colorado. Nebraska. by multivariate analysis and spline fitting --- for sea surface North Dakota, and Great Plains South Dakota. Minnesota. Canada. Australia. Brazil, India. or soil mapping pOO38 A79-16775 [E79-10049] pOOO9 N79-13456 and U.S.S.R. p0014 N79-14483 A 14 SUBJECT INDEX PHOTOGEOLOGY

Experiment results session: Accuracy and performance OIL SUCKS of LACIE crop development models --- Texas. Oklahoma. Marine monitoring of natural oil sticks and man made Kansas. Nebraska. North Dakota. South Dakota. Montana, wastes utilizing an airborne imaging Fraunhofer line and Minnesota pO014 N79-14484 discriminator p0042 A79-15104 PACIFIC NORTHWEST (US) Conference on the Economics of Remote Sensing Supporting Research and Technology (SRT) session: OKLAHOMA Information Systems, 1st. San Jose State University, San Status of yield estimation technology, a review of Large Area Crop Inventory Experiment (LACIE). LACIE Jose. Calif.. January 19-21. 1977, Proceedings second-generation model development ••• North Dakota, quick look accuracy assessment report, review of the pOO47 A79-11376 Montana. Minnesota. Kansas. South Dakota. Nebraska, December 17. 1976 CAR — Minnesota. Montana. Kansas. Colorado. Texas. Oklahoma and U.S.S.R. South Dakota. Texas. Oklahoma, and Nebraska Economic analysis in the Pacific Northwest Land p0014 N79-U489 (E79-10052) pO009 N79-13459 Resources Project - Theoretical considerations and preliminary results pOO47 A79-11383 USDA Application Test System (ATS) session: Large Area Crop Inventory Experiment (LACIE). Effects Technology transfer; concepts, user requirements, and their of non-response including cloud cover on aggregation of The Pacific Northwest Regional Commission's Land practical application --- Montana. North Dakota, and wheat area in the US Great Plains --- Colorado. Kansas. Resource Inventory Demonstration Project - The user's experience U.S.S.R. p0014 N79-14492 Nebraska. Oklahoma, and Texas [AIAA PAPER 78-1719) pOOIB A79-13835 USDA Application Test System (ATS) session: The [E79-10057] pOOlO N79-13464 application test system, an approach for technology transfer LACIE transition project. FV 1978-1979: Reanalysis Remote sensing approach to identifying preferred Douglas-fir tussock moth /Orgyia pseudotsugata McD./ — Montana. North Dakota, and U.S.S.R. of CCEA 1 US Great Plains wheat yield models — Texas. pOOIS N79-14493 Oklahoma. Colorado. Kansas. North Dakota. South Dakota. sites pOO05 A79-17893 The nation's water resources, the second national water The inventory and distribution of water and associated Minnesota. Nebraska. Montana. Badlands, and Red River assessment. Part 5: Regional assessment summaries land resources in the Garrison/Devils Lake Region of NO: Valley An application of resource data acquired (£79-10062) pOOlO N79-13469 (PB-285751/4) p0036 N79-14516 [PB-286091/4] p0036 N79-14525 Severe storm environments: A Skylab EREP report Nationwide forestry applications program. A literature NORTH MA [E79-10O27] pOO44 N79-14438 review of major remote sensing projects mapping forest land in the United States, using satellite data and automatic Multispectral classification on tidal lands Derived water temperatures using S191 and S192 data data processing p0030 A79-14158 — Oklahoma and Texas p0044 N79-14440 (E79-10072) p0016 N79-15351 NUCLEATIOM S193 scatterometer correlation with soil moisture ••- PACIFIC OCEAN Paniculate pollutants - Real-time tracking and monitoring Oklahoma and Texas p0045 N79-14445 Marine monitoring of natural oil slicks and man made of their cloud nucleation characteristics Rectification of a whole-sky photograph as a tool for wastes utilizing an airborne imaging Fraunhofer line p0042 A79-15048 determining spatial positioning of cumulus clouds --- discriminator pOO42 A79-151O4 Oklahoma p0045 N79-14446 Mapping ocean tides with satellites - A computer Remote sensing of atmospheric water vapor --- Oklahoma simulation P0038 A79-18324 and Texas pOO45 N79-14448 PARKS Experiment design session: Wheat yield model Interpretation of satellite and aircraft imagery for OATS development --- Oklahoma, North Dakota, and Kansas planning/design and management of marine parks and reserves pOOl7 A79-11754 Analysis of scanner data for crop inventories — Kansas p0012 N79-14462 and North Dakota System implementation and operations session: PARTICULAR SAMPLING [E79-10037] pOOOS N79-13444 Accuracy assessment, system implementation and Paniculate pollutants - Real-time tracking and monitoring of their cloud nucleation characteristics OCEAN CURRENTS operation — Oklahoma. Montana. Minnesota, and U.S.S.R. pOO)3 N79-14470 pOO42 A79-15048 Space observations over fishing grounds -•- upwelling PATTERN RECOGNITION Experiment results session: Accuracy and performance pattern monitoring pO029 A79-12506 Spectral and spatial signature recognition in urbanizing of LACIE estimates --- Minnesota. Oklahoma, North Dakota, Application of LAND SAT satellite imagery and areas of southern California from U-2 color infra-red Great Plains. Canada, and U.S.S.R. p0014 N79-14482 oceanographic data for verification of an upwelling imagery p0018 A79-14173 mathematical model — Atlantic Coast of Brazil Experiment results session: Accuracy and performance Recognition of patterns of damage in tall forests in [E79-10026J p0031 N79-13437 of LACIE yield estimates — Great Plains. North Dakota. Australia — by aerial photography pOOO4 A79-17889 OCEAN DATA ACQUISITIONS SYSTEMS Montana. Oklahoma, Texas, Kansas. Colorado. Nebraska. Evaluation of spectral channels and wavelength regions Quantitative mapping of paniculate iron in an ocean dump South Dakota. Minnesota. Canada, Australia. Brazil. India, for separability of agricultural cover types using remotely sensed data p0029 A79-11766 and U.S.S.R. p0014 N79-14483 [E79-10O24] pOOOS N79-13435 'Smart' remote sensor needs for U.S. Coast Guard ocean Experiment results session: Accuracy and performance Comparison of feature selection techniques for earth environment missions of LACIE crop development models — Texas. Oklahoma. resources data , [AIAA PAPER 78-1721] p0030 A79-13837 Kansas. Nebraska. North Dakota. South Dakota, Montana, [E79-10025] pOOOS N79-13436 and Minnesota pOO14 N79-14484 Laboratory studies of in vivo fluorescence of Large Area Crop Inventory Experiment (LACIE}. phytoplankton p0030 A79-15119 Supporting Research and Technology 1SRT) session: LAND SAT 3X gain study — Kansas. Texas, and Imperial Status of yield estimation technology, a review of Valley. California Mapping ocean tides with satellites - A computer second-generation model development --• North Dakota. simulation p0038 A79-18324 [E79-100S9] pOOlO N79-13466 Montana. Minnesota. Kansas, South Dakota. Nebraska. Supporting Research and Technology (SRT) session: OCEAN MODELS Colorado. Texas. Oklahoma, and U.S.S.R. Methods for segment wheat area estimation Remote sensing and ocean modelling - An application p0014 N79-14489 pOO14 N79-14487 to the Adriatic Sea p0030 A79-16776 Supporting Research and Technology (SRT) session: New Supporting Research and Technology (SRT) session: OCEAN SURFACE developments in sampling and aggregation for remotely Manual identification of crop types p0014 N79-14488 The Seasat-A satellite radar altimeter spaceborne sensed surveys ••- Texas, Kansas, Nebraska. Oklahoma, PATTERN REGISTRATION microcomputer p0043 A79-18869 Minnesota. South Dakota. Colorado, and U.S.S.R. SAR/LANDSAT image registration study Sea surface temperature distributions obtained off San pO014 N79-14491 [E79-1O035] p0039 N79-13442 Diego. California, using an airborne infrared radiometer Dryland pasture and crop conditions as seen by HCMM Large Area Crop Inventory Experiment (LACIE). Detection [PB-284736/6] pO030 N79-11647 — Oklahoma of episodic phenomena on LAND SAT imagery — Kansas Coastal zone and open ocean observations from NOAA [E79-10079] p0016 N79-15358 [E79-10055] pOOlO N79-13462 satellite very high resolution radiometers PENNSYLVANIA OPERATIONS RESEARCH (PB-284445/4] pO031 N79-11648 Quantifying gypsy moth defoliation pOO02 A79-13794 Large Area Crop Inventory Experiment (LACIE). Application of LANDS AT satellite imagery and Implementation plan for operations coordination center PETROGRAPHY oceanographic data for verification of an upwelling [E79-10050] p0009 N79-13457 Classification of rocks on the basis of signatures and mathematical model •-- Atlantic Coast of Brazil texture-measures from Landsat imagery [E79-10026J P0031 N79-13437 USDA Application Test System (ATS) session. Resource p0025 A79-14157 The application of remote sensors to a model for fish modelling, a reality for program cost analysis PHENOLOGY mapping pOOIS N79-14498 Experiment results session: Accuracy and performance (INPE-1379-PE/176] p0031 N79-14712 OPERATOR PERFORMANCE of LACIE crop development models — Texas. Oklahoma. OCEANOGRAPHIC PARAMETER* The use of CJR aerial photography for Dutch efm disease Kansas. Nebraska, North Dakota, South Dakota, Montana, Advanced systems requirements for ocean observations detection — Color IR p0004 A79-17892 and Minnesota p0014 N79-14484 via microwave radiometers OPTICAL DATA PROCESSING Supporting Research and Technology (SRT) session: [AIAA PAPER 78-1737] p0030 A79-13850 Digital image processing experience at Hannover Institute Prediction of wheat phonological development, a OCEANOGRAPHY for Photogrammetry/IPI/ pOO41 A79-14155 state-of-the-art review pOO14 N79-14490 Signature extraction of ocean pollutants by eigenvector OPTICAL POLARIZATION PHILIPPINES transformation of remote spectra p0030 A79-15103 Estimation of soil moisture and components by measuring Landsat forest inventory of the Philippines Earth observations and photography experiment: the degree of spectral polarization with a remote sensing pOO02 A79-11665 Summary of significant results simulator p0041 A79-11748 PHOTOGCOLOGY [NASA-CR-157780] pO043 N79-10498 OREGON Application of space images to geological investigations Overview of Brazilian remote sensing activities --- Economic analysis in the Pacific Northwest Land in the USSR to date and in future Amazon Region Resources Project - Theoretical considerations and [IAF PAPER 78-111] p0025 A79-11249 (E79- 70023] pOO49 N79-J3434 preliminary results pO047 A79-11383 Ruptural fabric of Yugoslavia on Landsat scanograms Application of LANDS AT satellite imagery and [IAF PAPER 78-121] P0021 A79-11258 oceanographic data for verification of an upwelling Remote sensing for determination of seedling survival Prospecting by satellite pO047 A79-11475 mathematical model — Atlantic Coast of Brazil — for reforestation of clear cut areas pCO05 A79-17902 Landsat geologic reconnaissance of the Washington. D.C. [E79-10026] pOOSJ N79-13437 ORTHOPHOTOGRAPHY area westward to the Appalachian Plateau INPE remote sensing program --- Brazil Production mapping with ort ho photo digital terrain pO025 A79-11763 [E79-10061) pO049 N79-13468 models p0021 A79-18195 Discrimination of geologic units in Death Valley using Ocean observation from space p0031 N79-13995 Results of a two-stage unequal probability /PPS/ dual frequency and polarization imaging radar data Seasat A. Oceanography today sampling for timber volume using an orthophoto mosaic p0025 A79-II857 [NASA-CR-158064] P0031 N79-15371 p0006 A79-19892 Digital processing of Landsat data for geological OHIO applications p0025 A79-14164 Role of the USAF AN/A AD-5 Infrared Reconnaissance A comparative test of unrestricted, stratified, two-phase Interactive digital image processing of Landsat data for Set in pollution detection and fuel conservation and two-stage PPS timber volume sampling using an geologic analysis p0025 A79-14180 "p0041 A79-12088 orthophoto mosaic --- Probability Proportional to Size Interdisciplinary application of the 'DIBIAS' digital image OIL FIELDS p0006 A79-19893 processing system to geological and maritime problems Outlook for world oil into the 21 st century with emphasis OZONE p0038 A79 14181 on the period to 1990 Using reflectance and photography to detect ozone Landsat - Developing techniques and applications in [EPRI-EA-745] p0049 N79-11454 damage to cantaloupe plants p0003 A79-17880 mineral and petroleum exploration p0026 A79-16725 A 15 PHOTOGRAMMETRY SUBJECT INDEX

The importance of repeated and multispectral analyses SLAB for forest type-classification in a semi-deciduous Identification of descriptive parameters in MSS system in geological-structural applications of data obtained from tropical region p0006 A79-19891 by multivariate analysis and spline fitting --- for sea surface space p0026 A79-16777 A comparative test of unrestricted, stratified, two-phase or soil mapping pO038 A79-16775 Project Rondonia and two-stage PPS timber volume sampling using an Detecting the effects of sulfur dioxide emissions on (E79-1O012J p0039 N79-13429 orthophoto mosaic — Probability Proportional to Size vegetation by remote sensing pOOOS A79-17897 PHOTOGftAMMETRY p0006 A79-19893 Landsat verification of aerial sketch-mapping --- in forest American Society of Photogrammetry. Fall Technical On the nature of base flow and groundwater occurrences monitoring pOOOS A79-17898 Meeting. Little Rock. Ark., October 18-21. 1977. in the Serayu River basin p0034 A79-19895 Detection of Armillaria root rot damage with shadowless Proceedings p0037 A79-11657 color infrared photography pO005 A79-17899 Forest inventory of east Thailand using ERTS-t and American Society of Photogrammetry, Annual Meeting, Vegetation damage surveying in India ground truth survey 44th. Washington. D.C.. February 26-March 4. 1978. p0005 A79-17900 lNASA-TT-F-17065] pO006 N79-1050O Proceedings p26 N79-M450 Interrelation between photogrammetry and remote Large Area Crop Inventory Experiment (LACIE). Detection Land use survey and mapping and water resources sensing cadastral localizing of cultivation inventory, obtained of episodic phenomena on LANDSAT imagery --- Kansas investigation in Korea by remote sensing pOOO3 A79-14159 IE79-10055] 00010 N79-13462 (E79 10O03) pO035 N79-13425 The automated generation and processing of digital Findings of the LACIE supporting research peer group PHOTOMAPS terrain data for engineering planning p0019 A79-16597 pO011 N79-14437 Bolivian program of satellite technology of earth DTM application in topographic mapping System implementation and operations session: resources. ERTS pO021 A79-18194 Classification and mensuration, an approach to LANDSAT [E79-10036] P0049 N79-13443 Experimental investigation into the accuracy of contouring data analysis for crop identification — U.S.S.R.. Kansas, PLANKTON from DTM — digital terrain models pO021 A79-18196 North Dakota, and Montana p0013 N79 14467 Laboratory studies of in vivo fluorescence of Applications of DTM in the Forest Service — Digital Semiautomatic extraction of roads from aerial phytoplankton p0030 A79-15119 Terrain Information System p0006 A79-18197 photographs PLANT ROOTS Forest road planning from aerial photographs [AD-A060065] pO020 N79 15373 Detection of Armillaria root rot damage with shadowless pO006 A79-19894 PHOTON APPING color infrared photography pOOOS A79-17899 A selective bibliography: Remote sensing applications The blue-to-green reflectance ratio and lake water PLANTINO in land use and land cover inventory tasks quality pO029 A79-11000 Evaluation of reforested areas using LANDSAT imagery [PB-283027/1] pO019 N79-10509 Application of space remote sensing technology to living [E79-10019] pOOOS N79-13432 PHOTOGRAPHIC FILM marine resources in coastal zones Supporting Research and Technology (SRT) session: Generation of uniform chromaticily scale imagery from [IAF PAPER 78-110] p0029 A79-11248 Prediction of wheat phenological development, a LAND SAT data Application of space images to geological investigations state-of-the-art review p0014 N79-14490 [E79-10O33] p0039 N79-13440 in the USSR to dale and in future PLANTS (BOTANY) PHOTOGRAPHIC RECORD IHG IlAF PAPER 78-111J P0025 A79-11249 Determination and error analysis of eminence and Landsat - Developing techniques and applications in Results of application of data from space to geological spectral eminence measurements by remote sensing mineral and petroleum exploration p0026 A79-16725 survey in Yugoslavia [E79-10021] pO007 N79-12532 Remote sensing and vegetation damage - A theory for [IAF PAPER 78-112] p0025 A79-11250 Supporting Research and Technology (SRT) session: detection and assessment p0003 A79-17877 Applications of remote sensing from space in Canada Prediction of wheat phenological development, a Previsual detection - The elusive dream --- tor remotely [IAF PAPER 78-117] p0047 A79-11255 state-of-the-art review p0014 N79-14490 sensed vegetation damage p0003 A79-17878 Evaluation of Landsat image data for land-use mapping Plant cover, soil temperature, freeze, water stress, and Using reflectance and photography to detect ozone [IAF PAPER 78-118] p0017 A79-1 1256 evapotranspiration conditions damage to cantaloupe plants p0003 A79-17880 Eulusmap - An international land resources map utilizing [E79-10080] p0016 N79-15359 The use of vegetation as a transducer for environmental satellite imagery — in Europe POLARIZATION CHARACTERISTICS pollution p0019 A79-17882 [IAF PAPER 78-124] p0021 A79-11259 Discrimination of geologic units in Death Valley using Full coverage at large scale •-- under-cloud aerial Application of a digital image processing system to land dual frequency and polarization imaging radar data photography for monitoring forest disease use mapping from Landsat data P0025 A79-11857 D0004A79-17890 [IAF PAPER 78-130] pO017 A79-1 1263 Detection of a crown dieback in Australian eucalypt POLLUTION CONTROL The value of improved global crop information - An The nation's water resources, the second national water forests on large-scale aerial photographs empirical approach to Landsat benefits assessment. Part 4: Water supply and water quality pOOO4 A79-17891 pOOOl A79-11377 considerations Mini-format remote sensing for civil engineering --- Remote sensing oceanographic and terrestrial information [PB-285750/6] pO035 N79-14515 hand-held stereophotography from small aircraft systems p0029 A79-11379 POLLUTION MONITORING P0043A79-18575 Improvement of earth resource inventories utilizing PHOTOINTEftPRETATION The blue-to-green reflectance ratio and lake water remotely sensed data /sampling and remote sensing/ quality pOO29 A79-11OOO Evaluation of Landsat image data for land-use mapping I pOOOl A79-11382 Landsat change detection can aid in water quality [IAF PAPER 78-118) pO017 A79-11256 Economic analysis in the Pacific Northwest Land monitoring p0033 A79-1 1667 A comparison of phototnterpretive and digital production Resources Project - Theoretical considerations and methods for four key remote sensing-based information preliminary results p0047 A79-11383 Quantitative mapping of paniculate iron in an ocean dump products P0037 A79-11385 Michigan resource inventories - Characteristics and costs using remotely sensed data pO029 A79-11766 40 years of Mississippi River floodplain change assessed of selected projects using high altitude color infrared Role of the USAF AN/AAD-5 Infrared Reconnaissance by aerial photography pO033 A79-11661 imagery p0037 A79-11384 Set in pollution detection and fuel conservation Interpretation of satellite and aircraft imagery for A comparison of photointerpretive and digital production p0041 A79-12088 planning/design and management of marine parks and methods for four key remote sensing-based information Joint Conference on Sensing of Environmental Pollutants. reserves P0017 A79-11754 products pO037 A79-11385 4th, New Orleans. La, November 6-11. 1977. Landsat geologic reconnaissance of the Washington. D.C. The cost-effectiveness of operational remote sensing Proceedings pO018 A79-15O23 area westward to the Appalachian Plateau technology - A comparative analysis pO047 A79-11386 A national program for land use and land cover mapping P0025 A79-11763 The value of volume and growth measurements in timber using remotely sensed data pO018 A79-15034 Application of the remote sensing of sea color for the sales management of the National Forests Particulate pollutants - Real-time tracking and monitoring study of marine suspensions p0029 A79-13384 pOOOl A79-11389 of their cloud nucleation characteristics Classification of rocks on the basis of signatures and Mapping land covers from satellite images - A basic. P0042A79-15048 low cost approach pO017 A79-11664 texture-measures from Landsat imagery Monitoring vegetation-changes in a large impacted Ecosystem alteration detection by aerial color infrared P0025 A79-14157 wetland using quantitative field data and quantitative remote photography and satellite multispectral scanner Multispectral classification on tidal lands sensing data pO019 A79-15051 P0030 A79-14158 pOOIS A79-12094 Quantifying gypsy moth defoliation p0002 A79-13794 Development of a pollutant monitoring system for Spectral and spatial signature recognition in urbanizing Texture-tone analysis for automated land-use mapping biosphere reserves and results of the G real Smoky areas of southern California from U-2 color infra-red p0037 A79-13795 Mountains pilot study p0019 A79-15082 imagery pOO18 A79-U173 Current and potential uses of aerospace technology by Evaluation of instruments and measurement strategies Digital image analysis applications in state natural the U.S. Department of the Interior for airborne remote sensing of regional air pollution resource agencies p0048 A79-16180 [AIAA PAPER 78-1716] pO048 A79-13833 measurement requirements pOO42 A79-15083 Identification of descriptive parameters in MSS system The Pacific Northwest Regional Commission's Land Aircraft instrumentation system for the remote sensing by multivariate analysis and spline fining --- for sea surface Resource Inventory Demonstration Project - The user's of carbon monoxide pO042 A79-15090 or soil mapping p0038 A79-16775 experience Marine monitoring of natural oil slicks and man made Remote sensing and vegetation damage - A theory for [AIAA PAPER 78-1719] pOOIS A79-13835 wastes utilizing an airborne imaging Fraunhofer line detection and assessment pOOO3 A79-17877 Spray block mapping control for spruce budworm using discriminator pO042 A79-15104 Microdensitometry to identify Douglas-fir tussock moth Landsat and high altitude remote sensing Biological water quality monitoring from remote stations defoliation on color IR aerial photos pOOO4 A79-17885 DO002 A79-14152 and NASA GOES satellite pOO34 A79-15131 Realistic land use mapping —- using MSS remote sensing Detection and mapping of spruce budworm infestation The use of vegetation as a transducer for environmental and aerial photography pOOIS A79-14167 in Northern Wisconsin using digital analysis of Landsat pollution pOOl 9 A79-17882 A self-contained Landsat data reception and precision data pOOO4A79-17886 Remote sensing applied to environmental pollution Monitoring gypsy moth defoliation by applying change cartographic image production system p0021 A79-14179 detection and management. A bibliography with detection techniques to Landsat imagery Interactive digital image processing of Landsat data for abstracts POOO4A79-17887 geologic analysis pO025 A79-14180 [NT1S/PS-78/0789/4] p0019 N79-10505 Recognition of patterns of damage in tall forests in Monitoring vegetation changes in a large impacted A scene-analysis approach to remote sensing -•- San Australia — by aerial photography pOO04 A79-17889 wetland using quantitative field data and quantitative remote Francisco. California The use of OR aerial photography for Dutch elm disease sensing data pOO19 A79-15051 [E79-10029] p0022 N79-13438 detection — Color IR pO004 A79-17892 Information requirements for natural resource POPULATIONS A conspectus of computer aided and air-photo inventories - p0048 A79-16178 Population and growth estimates of urban areas in the interpretation techniques for the study of Landsat imagery Digital image analysis applications in state natural state of Sao Paulo utilizing LANDSAT images pO038 A79-18868 resource agencies pO048 A79-16180 [E79-10015] PO020 N79-13430 A 16 SUBJECT INDEX SAN FRANCISCO BAY (CA)

PORTS RADIO ALTIMETERS The nation's water resources, the second national water Commercial fishing port development in north Florida Measurement of ocean wave heights using the Geos 3 assessment. Part 1: Introduction — Escambia. Bay. Gulf. Franklin. Wakulla. Nassau, and altimeter p0041 A79-11767 [PB-285747/2] pO035 N79-14512 Duval Counties The Seasat-A satellite radar altimeter spaceborne The nation's water resources, the second national water [E79-10078J p0031 N79-15357 microcomputer pO043 A79-18869 assessment. Part 2: Water management problem POSITION (LOCATION) RADIOMETERS profiles Rectification of a whole-sky photograph as a tool for Radiometric correction of LAND SAT data [PB-285748/0] P0035 N79-14513 determining spatial positioning of cumulus clouds --- [E79-10017] p0044 N79-12531 The nation's water resources, the second national water Oklahoma p0045 N79-14446 Soil moisture study using the SI 93 radiometer assessment. Part 3: Functional water uses P0044 N79-14444 PRECAMBRIAN PERIOD [PB-285749/8] pO035 N79-14514 Preliminary geological precambrian map of Piaui RAIN [INPE-1146-PE/0991 p0026 N79-11450 Large Area Crop Inventory Experiment (LACIE). Detection The nation's water resources, the second national water of episodic phenomena on LAND SAT imagery •-- Kansas assessment. Part 5: Regional assessment summaries PRECIPITATION (METEOROLOGY) [E79-10055] pOOlO N79-13462 [PB-285751/4) pO036 N79-14516 Large Area Crop Inventory Experiment (LACIE). LACIE Experiment results session: LACIE crop years, an integrated drought plan --- Great Plains The nation's water resources, the second national water assessment of crop conditions -•- Great Plains, U.S.S.R.. [E79-10045J p0009 N79-13452 assessment. Appendix B: Methodologies and and Canada p0014 N79-14481 socio-economic characteristics and patterns of change and Severe storm environments: A Skytab EREP report RANGELANDS [E79-10027] p0044 N79-14438 water use and water supply data Remote sensing from space and the operational needs [PB-285815/7] pO036 N79-14517 The correlation of Skylab L-band brightness temperatures of range management p0002 A79-12503 with antecedent precipitation p0044 N79-14443 Post LAND SAT D advanced concept evaluation Application of remote sensing to selected problems within Soil moisture study using the S193 radiometer p0049 N79-10096 the state of California p0044 N79-14444 Bolivian program of satellite technology of earth [E79-10075] pOOSO N79-15354 PRECIPITATION HARDENING resources, ERTS RIO GRANDE (NORTH AMERICA) Mineral precipitation in north slope aufeis [E79-10036] p0049 N79-13443 The nation's water resources, the second national water [NASA-TM-79642] p0026 N79-10502 RECLAMATION assessment. Part 5: Regional assessment summaries PREDICTION ANALYSIS TECHNIQUES Remote monitoring of coal strip mine rehabilitation [PB-285751/4] p0036 N79-14516 An example of the economic interest in remote sensing [PB-286647/3] p0027 N79-15379 RIVER BASINS • Forecasting of maize crops REFLECTANCE On the nature of base flow and groundwater occurrences [IAF PAPER 78-116] pOOOl A79-11254 Large Area Crop Inventory Experiment (LACIE). in the Serayu River basin p0034 A79-19895 LAND SAT 3X gain study --- Kansas, Texas, and Imperial PREDICTIONS Valley. California Land use survey and mapping and water resources Supporting Research and Technology (SRT) session: [E79-10059] 0010 N79-13466 investigation in Korea Prediction of wheat phenological development, a P REGIONAL PLANNING [E79-10003] p0035 N79-13425 state-of-the-art review pO014 N79-14490 Remote sensing applied to urban and regional planning. Preliminary runoff and streamflow predictions in the PROBABILITY THEORY A bibliography with abstracts Humboldt River basin based on snow distribution Results of a two-stage unequal probability /PPS/ [NTIS/PS-78/0790/2] p0019 N79-10506 measurements from sequential satellite imagery sampling for timber volume using an orthophoto mosaic The nation's water resources, the second national water [PB-286122/7] P0036 N79-14518 p0006 A79-19892 assessment. Part 5: Regional assessment summaries Geologic application of thermal-inertia mapping from PROFILE METHOD (FORECASTING) [PB-285751/4] pO036 N79-14516 satellite --- Wyoming and Arizona Outlook for world oil into the 21st century with emphasis REGIONS [E79-10081] p0027 N79-15360 on the period to 1990 Utilization of LAND SAT images for geological RIVERS [EPRI-EA-745] p0049 N79-11454 investigation in the central portion of Minas Gerais Interdisciplinary application of the 'DIBIAS' digital image PROJECT MANAGEMENT [E79-10020] p0027 N79-13433 processing system to geological and maritime problems Large Area Crop Inventory Experiment (LACIE}. LACIE The application of remote sensors in the interpretation p0038 A79-14181 phase 3 analyst field trip plan — North Dakota. South of LAND SAT data for regional geological mapping in the Overview of Brazilian remote sensing activities --- Dakota, and Kansas central portion of Minas Gerais Amazon Region [E79-10O41] pOOOS N79-13448 [E79-10039] pO027 N79-13446 [E79-10O23] p0049 N79-13434 REGRESSION ANALYSIS Large Area Crop Inventory Experiment (LACIE). LACIE ROADS Large Area Crop Inventory Experiment (LACIE). integrated drought plan — Great Plains Forest road planning from aerial photographs Yield-weather regression models for the Canadian prairies [E79-10045] p0009 N79-13452 pOO06 A79-19894 Large Area Crop Inventory Experiment (LACIE). — Alberta. Saskatchewan, and Manitoba (E79-10071] pOO16 N79-15350 The use of LANDSAT data for the establishment, control Implementation plan for operations coordination center and supervision of pasture projects in the southeast Amazon [E79-10050] pOOO9 N79-13457 RELIABILITY Large Area Crop Inventory Experiment (LACIE). Level region Large Area Crop Inventory Experiment (LACIE). Level 3 baseline: LACIE Information Evaluation (IE) [E79-10O16] p0007 N79-12530 3 baseline; LACIE project documentation plan implementation/operations plan Semiautomatic extraction of roads from aerial [E79-10054J p0009 N79-13461 [E79-10O47] p0009 N79-13454 photographs PROJECT PLANNING REMOTE SENSORS [AD-A060065] p0020 N79-15373 The automated generation and processing of digital A system concept for wide swath constant incident angle ROCKS terrain data for engineering planning p0019 A79-16597 coverage -— for SAR environmental monitoring from Optimum thermal infrared bands for mapping general INPE remote sensing program —- Brazil space p0042 A79-15744 rock type and temperature from space [E79-10061] p0049 N79-13468 Remote sensing and ocean modelling - An application [NASA-CR-151842] p0026 N79-11449 USOA Application Test System (ATS) session: ATS to the Adriatic Sea p0030 A79-16776 RURAL AREAS experience to date and future plans — United States of Previsual detection of stressed loblolly pine /Pinus taeda A reduction in ag./residential signature conflict using America. U.S.S.R., and Canada pO015 N79-14497 L/ POO03 A79-17879 principal components analysts of Landsat temporal data The nation's water resources, the second national water Case applications of remote sensing for vegetation p0017 A79-11669 assessment. Part 1: Introduction damage assessment pOOO4 A79-17888 [PB-285747/2] p0035 N79-14512 RESEARCH AND DEVELOPMENT A review of space research, 1976-1977 pO048 A79-13383 The LACIE supporting research program: A focused 8AGINAW BAY (Ml) approach to research and development Summary report - Application of Landsat to the RADAR IMAGERY p0012 N79-14453 Synthetic aperture radar systems for remote sensing from surveillance of lake eutrophication in the Great Lakes basin p0033 A79-11758 space RESEARCH MANAGEMENT llAF PAPER 78-149) pO041 A79-11272 Supporting Research and Technology (SRT) session: SAHARA DESERT (AFRICA) Discrimination of geologic units in Death Valley using Supporting research, a focused approach to research Future applications of a satellite observation system for dual frequency and polarization imaging radar data development pO014 N79-14486 the long-term monitoring of geodynamic processes p0025 A79-11857 RESEARCH PROJECTS [DGLR PAPER 78-147] p0018 A79-14093 Active microwave sensing of the earth's surface - A mini A review of space research. 1976-1977 SALYUT SPACE STATION review p0042 A79-15464 p0048 A79-13383 Ocean observation from space pO031 N79-13995 A system concept for wide swath constant incident angle RESERVOIRS SAMPLING coverage --- for SAR environmental monitoring from Use of Landsat imagery for Lake Nasser resource Large Area Crop Inventory Experiment (LACIE). space pO042 A79-15744 management pO034 A79-1S133 Second-generation sampling strategy evaluation report — SLAR for forest type-classification in a semi-deciduous A scene-analysis approach to remote sensing — San Kansas, North Dakota, and USSR tropical region pO006 A79-19891 Francisco, California [E79-10056] pOOlO N79-13463 Overview of Brazilian remote sensing activities --- [E79-10029] pO022 N79-13438 Experiment design session: Sampling and aggregation Amazon Region Remote sensing of atmospheric water vapor — Oklahoma in LACIE pO012 N79-14460 (E79-10023] p0049 N79-13434 and Texas pO045 N79-14448 Supporting Research and Technology (SRT) session: New RADAR SCANNING RESIDENTIAL AREAS developments in sampling and aggregation for remotely Subsurface radar --• for earth resources study Utilization of orbital data from LANDSAT 1 in the sensed surveys — Texas. Kansas. Nebraska, Oklahoma. pO041 A79-10601 classification of urban land usage of the Sao Jose Minnesota. South Dakota. Colorado, and U.S.S.R. RADAR SCATTERING grassland p0014 N79-14491 Active microwave sensing of the earth's surface - A mini [E79-10085] p0020 N79-15363 review p0042 A79-15464 Test and evaluation of principal component cluster images RADAR SIGNATURES RESOURCES MANAGEMENT in LACIE [E79-10O77] p0016 N79-15356 Discrimination of geologic units in Death Valley using Current and potential uses of aerospace technology by dual frequency and polarization imaging radar data the U.S. Department of the Interior SAN FRANCISCO (CA) p0025 A79-11857 [AIAA PAPER 78-1716] pO048 A79-13833 A scene-analysis approach to remote sensing — San SAR/LANDSAT image registration study The Pacific Northwest Regional Commission's Land Francisco, California IE79-10035] pO039 N79-13442 Resource Inventory Demonstration Project - The user's IE79-10029] p0022 N79-13438 RADIATION MEASURING INSTRUMENTS experience SAN FRANCISCO BAY (CA) Evaluation of instruments and measurement strategies [AIAA PAPER 78-1719] p0018 A79-13835 A scene-analysis approach to remote sensing --- San for airborne remote sensing of regional air pollution Use of Landsat imagery for Lake Nasser resource Francisco, California measurement requirements p0042 A79-15083 management p0034 A79-15133 [E79-10029] pO022 N79-13438 A-17 SAN JUAN MOUNTAINS (CO) SUBJECT INDEX

SAN JUAN MOUNTAINS (CO) OAST Space Theme Workshop. Volume 2: Theme Application of remote sensing to the estimation of Nationwide forestry applications program. A literature summary. 5: Global service (no. 11). A. Statement. B. chlorophyll in ocean water review of major remote sensing projects mapping forest 26 April 1976 presentation. C. Summary [INPE-1380-PE/177] p003l N79-14699 land in the United States, using satellite data and automatic [NASA-TM-80006] pOOSO N79-15118 SEASAT-A SATEUJTE data processing SATEUJTE ORBITS Useful spacebome synthetic aperture radars — examining [E79-10072J p0016 N79-15351 LANDSAT 3 world standard catalog. 1-31 August 1978 Seasat-A SATELLITE NAVIGATION SYSTEMS — LANDSAT imagery for August 1978 [IAF PAPER 78*148] p0029 A79-11271 Satellite tracking techniques and their applications for [NASA-TM-79492] p0039 N79-13481 The Seasat-A satellite radar altimeter spacebome geodesy and navigation p0022 N79-12486 LANDSAT 2 world standard catalog. 1-31 August 1978 microcomputer p0043 A79-18869 SATEUJTE NETWORK* — LANOSAT imagery for August 1978 Seasat A. Oceanography today A developmental program of satellite data collection [NASA-TM-79491] p0039 N79-13482 (NASA-CR-158064] P003T N79-I537T p0038 A79-18951 SEASONS LANDSAT 3 world standard catalog. 1-30 September SATtLUTE OBSERVATION Forest resource information system 1978 — LANDSAT imagery for September 1978 Application of space images to geological investigations [E79-10010] p0007 N79-12526 (NASA-TM-79887J pO040 N79-14502 in the USSR to date and in future SEEDS (lAF PAPER 78-111) p0025 A79-11249 LANDSAT 2 world standard catalog. 1-30 September Experiment results session: Economic evaluation; Results of application of data from space to geological 1978 — LANDSAT imagery for September 1978 concepts, selected studies, system cost, and a proposed INASA-TM-79886) pO04o N79-14503 survey in Yugoslavia program PO014 N79-144S5 (IAF PAPER 78*112] pO025 A79-11250 LANDSAT world standard catalog. LANDSAT-3 — SEISMOLOGY Rupturat fabric of Yugoslavia on Landsat scanograms LANDSAT 3 imagery for October 1978 ' Contemporary tectonics in the Tien Shan region [IAF PAPER 78-121] p0021 A79 11258 [NASA-TM-79968] p0040 N79-15372 p0021 A79-18863 Synthetic aperture radar systems for remote sensing from SATEUJTE TRACKING The origin of surface lineaments in Nemaha County. space Satellite tracking techniques and their applications for Kansas [IAF PAPER 78-149] p0041 A79-11272 geodesy and navigation p0022 N79-12486 IPB-287302/4] pO023 N79-15394 Prospecting by satellite pOO47 A79-11475 SATELLITE-BORNE INSTRUMENT* SELECTION American Society of Photogrammetry, Annual Meeting. Prospecting by satellite pOO47 A79-1147S Feature selection and sample classification algorithms 44th. Washington. D.C.. February 26-March 4. 1978. The Seasat-A satellite radar altimeter spaceborne of INPE Proceedings pOO37 A79-11751 microcomputer pO043 A79-18869 [INPE-1120-PE/088] pO039 N79-10812 Measurement of ocean wave heights using the Geos 3 SHORELINES &ATEUJTE BORNE PHOTOGRAPHY altimeter p0041 A79-11767 Computer-aided analysis of Landsat data for surveying Application of space remote sensing technology to living The contribution of space observations to global food Texas coastal zone environments pO038 A79-14168 marine resources in coastal zones information systems; Proceedings of the W. Nordberg Commercial fishing port development in north Florida [IAF PAPER 78-110] pO029 A79-11248 Memorial Symposium. Tel Aviv. Israel. June 7-18. 1977 — Escambia, Say. Gulf. Franklin. Wakulla, Nassau, and P0048A79-12502 Applications of remote sensing from space in Canada • Duval Counties Remote sensing from space and the operational needs [IAF PAPER 78-117] pO047 A79-11255 [E79-10078] p0031 N79-15357 of range management p0002 A79-12503 The use of earth surface observation data for development SIDE-LOOKING RADAR Food information systems - Growing conditions planning of Greater Jakarta Metropolitan Area SLAR for forest type-classification in a semi-deciduous pO002 A79-125O4 [IAF PAPER 78-119] p0017 A79-11257 tropical region p0006 A79-19891 Space observations over fishing grounds — upwelling Eulusmap - An international land resources map utilizing Preliminary geological precambrian map of Piaui pattern monitoring p0029 A79-12506 satellite imagery — in Europe [1NPE-1146-P6/099J p0026 N79-11450 Application of the remote sensing of sea color for the [IAF PAPER 78-124] p0021 A79-11259 SIGNAL DISTORTION study of marine suspensions pOO29 A79-13384 Estimation of the soil composition by fR observation of Design and implementation of distortion-free Current and potential uses of aerospace technology by the earth by satellites compression techniques for LANDSAT data and television the U.S. Department of the Interior [IAF PAPER 78-128] p0025 A79-1 I26O images p0039 N79-13421 [AIAA PAPER 78-1716] p0048 A79-13833 Remote sensing oceanographic and terrestrial information SIGNAL PROCESSING The role of 'Smart' sensors in earth resources remote systems pO029 A79-11379 Signature extraction of ocean pollutants by eigenvector sensing programs transformation of remote spectra p0030 A79-15103 A comparison of photointerpretive and digital production IAIAA PAPER 78-1717] poo4i A79-13834 SIGNATURE ANALYSIS methods for four key remote sensing-based information Sensor needs for agricultural applications A reduction in ag./residential signature conflict using products p0037 A79-11385 [AIAA PAPER 78-1745] p0002 A79-13852 principal components analysis of Landsat temporal data Future applications of a satellite observation system for American Society of Photogrammetry, Fall Technical P0017 A79-11669 the long-term monitoring of geodynamic processes Meeting. Little Rock. Ark.. October 18-21. 1977. A comprehensive data processing plan for crop calendar [DGLR PAPER 78-147} p0018 A79-14093 Proceedings p0037 A79-11657 MSS signature development from satellite imagery: Crop Biological water quality monitoring from remote stations Mapping land covers from satellite images - A basic. identification using vegetation phenology and NASA GOES satellite pOO34 A79-15131 low cost approach p0017 A79-11664 [E79-10O01] p0007 N79-13424 Trophic classification of Colorado lakes utilizing contact Interpretation of satellite and aircraft imagery for A scene-analysis approach to remote sensing —- San data, Landsat and aircraft-acquired multispectral scanner planning/design and management of marine parks and Francisco. California data pOO34 A79-15132 reserves p0017 A79-11754 [E79-10029] p0022 N79-13438 Analysis of scanner data for crop inventories — Kansas A system concept for wide swath constant incident angle A distortion-free map projection for analysis of satellite and North Dakota coverage —- for SAR environmental monitoring from imagery p0038 A79-14197 [E79-10037] pOOOS N79-13444 space pOO42 A79-15744 Use of Landsat imagery for Lake Nasser resource management p0034 A79-15133 Urge Area Crop Inventory Experiment (LACIE). LACIE Landsat - Developing techniques and applications in phase 3 analyst field trip plan — North Dakota. South mineral and petroleum exploration pOO26 A79-16725 Remote sensing program in earth resources --- NASA data systems pO04fi A79-16187 Dakota, and Kansas Remote sensing and ocean modelling - An application Vegetation damage surveying in India [E79-10041] pOOOS N79-13448 to the Adriatic Sea pOO30 A79-16776 p0005 A79-17900 Supporting Research and Technology (SRT) session: The importance of repeated and multispectral analyses LANDSAT 3 world standard catalog. 1-31 August 1978 Methods for segment wheat area estimation in geological-structural applications of data obtained from — LANDSAT imagery for August 1978 p0014 N79-14487 space pO026 A79-16777 [NASA-TM-79492] p0039 N79-134S1 Supporting Research and Technology (SRT) session: Applications of photometric process in monitoring LANDSAT 2 world standard catalog. 1-31 August 1978 Manual identification of crop types p0014 N79-14488 vegetation damage due to external stresses — LANDSAT imagery for August 1978 SNOW pOOO4 A79-17883 [NASA-TM-79491] pO039 N79-13482 Preliminary runoff and streamflow predictions in the Mapping ocean tides with satellites - A computer LANOSAT 3 worid standard catalog, t-30 September Humboldt River basin based on snow distribution simulation pO038 A79-18324 1978 — LANDSAT imagery for September 1978 measurements from sequential satellite imagery Remote sensing of surface soil moisture INASA-TM-79887] pO040 N79-14502 IPB-286122/7) p0036 N79-14518 pO034 A79-20134 LANDSAT 2 world standard catalog. 1-30 September SNOW COVER Post LANDSAT D advanced concept evaluation 1978 — LANDSAT imagery for September 1978 Bolivian program of satellite technology of earth pO049 N79-10096 [NASA-TM-79886] POO40 N79-14503 resources. ERTS Preliminary runoff and streamflow predictions in the [E79-10036] p0049 N79-13443 Earth observations and photography experiment: Humboldt River basin based on snow distribution Summary of significant results Experiment results session: LACIE crop years, an measurements from sequential satellite imagery [NASA-CR-157780] pOO43 N79-10498 assessment of crop conditions — Great Plains, U.S.S.R.. (PB 286122/7J P0036 N79-14518 and Canada p0014 N79-14481 Remote sensing applied to environmental pollution LANDSAT world standard catalog. LANDSAT-3 --- detection and management. A bibliography with Supporting Research and Technology (SRT) session: New LANDSAT 3 imagery for October 1978 developments in sampling and aggregation for remotely abstracts [NASA-TM-79968] p0040 N79-15372 [NTIS/PS-78/0789/4] pOO19 N79-10505 sensed surveys — Texas, Kansas. Nebraska, Oklahoma. SATEUJTE BORNE RADAR Minnesota. South Dakota, Colorado, and USSR. Remote sensing applied to urban and regional planning. Useful spacebome synthetic aperture radars --- examining p0014 N79-14491 A bibliography with abstracts Seasat-A SOCIAL FACTORS (NT1S/PS-78/0790/2J pO019 N79-10506 [IAF PAPER 78-148] p0029 A79-11271 The nation's water resources, the second national water Remote sensing applied to geology and mineralogy. A SCATTEROMETERS assessment. Appendix B: Methodologies and bibliography with abstracts Experiment on the interaction of microwaves with natural socio-economic characteristics and patterns of change and (NTIS/PS-78/0791/OJ pO026 N79-10507 surfaces from the viewpoint of their use in the remote water use and water supply data sensing of agricultural zones The coverage field of earth observation satellites at the [PB-285815/7] p0036 N79-14517 earth's surface. Description of the computer program [IAF PAPER 78-ST-01) pOOOl A79-11357 SOIL MAPPING COFI S193 scanerometar correlation with soil moisture --- Estimation of the soil composition by IR observation of [ESA-TT-487] pO022 N79-11457 Oklahoma and Texas p0045 N79-14445 SCCNE ANALYSIS the earth by satellites Coastal zone and open ocean observations from NOAA [IAF PAPER 78-126] pO025 A79-11260 satellite very high resolution radiometers A scene-analysis approach to remote sensing — San Experiment on the interaction of microwaves with natural [PB-284445/4] pOO31 N79-11648 Francisco. California [E79-10029] p0022 N79-13438 surfaces from the viewpoint of their use in the remote Satellite activities of NOAA 1977 pO049 N79-12131 SCA STATES sensing of agricultural zones Review of satellite tracking techniques probably capable Measurement of ocean wave heights using the Geos 3 (IAF PAPER 78-ST-O1] pOOOT A79-11357 of monitoring plate tectonics p0022 N79-12501 altimeter pOO41 A79-11767 SOIL MOISTURE Geodetic high precision measurements in active tectonic SEA WATER Estimation of soil moisture and components by measuring areas pO022 N79-125O3 Application of the remote sensing of sea color for the the degree of spectral polarization with a remote sensing Ocean observation from space pO031 N79-13995 study of marine suspensions p0029 A79-13384 simulator pO041 A79-11748 A 18 SUBJECT INDEX STATISTICAL ANALYSIS

Remote sensing of surface soil moisture SOUTH DAKOTA SPACELAB p0034 A79-20134 Digital image analysis applications in state natural Space Shuttle and Spacelab utilization: Near-term and An airborne X-band microwave radiometer — for soil resource agencies p0048 A79-16180 long-term benefits for mankind; Proceedings of the moisture measurements Large Area Crop Inventory Experiment (LACIE). LACIE Twenty-fourth Annual Meeting and Sixteenth Goddard [ISBN-0-643-00314-2] pOO44 N79-12410 phase 3 analyst field trip plan — North Dakota. South Memorial Symposium. Washington, D.C.. March 8-10, Large Area Crop Inventory Experiment (LACIE). LACIE Dakota, and Kansas 1978. Parts 1 & 2 POO49 A79-17076 integrated drought plan — Great Plains [E79-10041] pOOOS N79-13448 SPACELAB PAYLOADS [E79-10045] p0009 N79-13452 Large Area Crop Inventory Experiment (LACIE). LACIE Analysis of a remote sensing payload for the Spacelab quick look accuracy assessment report, review of the Large Area Crop Inventory Experiment (LACIE}. Test 03 mission (preliminary phase A) December 17, 1976 CAR — Minnesota. Montana. Kansas. and evaluation plan for KSU and CCEA phase 3 yield models 1ESA-TT-482) p0043 N79-11456 South Dakota, Texas, Oklahoma, and Nebraska — India. China, U.S.S.R.. Canada. Argentina. Australia. SPATIAL DISTRIBUTION [E79-10052] 0009 N79-13459 North Dakota, and Great Plains P Digital terrain models - An overview LACIE transition project. FY 1978-1979: Reanalysis [E79-10049] pOOOS N79-13456 p0021 A79-18193 of CCEA 1 US Great Plains wheat yield models --- Texas. SPECTRAL BANDS Large Area Crop Inventory Experiment (LACIE). Detection Oklahoma, Colorado. Kansas, North Dakota. South Dakota. Optimum thermal infrared bands for mapping general of episodic phenomena on LANDSAT imagery — Kansas Minnesota. Nebraska, Montana. Badlands, and Red River rock type and temperature from space [E79-10055] pO010 N79-13462 Valley [NASA-CR-151842] pOO26 N79-11449 Large Area Crop Inventory Experiment (LACIE). Detecting [E79-10062] pOOlO N79-13469 and monitoring agricultural vegetative water stress over Large Area Crop Inventory Experiment (LACIE). Detecting SPECTRAL REFLECTANCE large areas using LANDSAT digital data — Great Plains and monitoring agricultural vegetative water stress over The blue-to-green reflectance ratio and lake water (E79-10063) pOOlO N79-13470 large areas using LANDSAT digital data — Great Plains quality pOO29 A79-11000 Severe storm environments: A Skylab EREP report [E79-10063] p0010 N79-13470 Using reflectance and photography to detect ozone [E79-10027] p0044 N79-14438 Experiment design session: Growth stage estimation damage to cantaloupe plants p0003 A79-17880 Severe storm experiment summary — from Texas — South Dakota and Kansas p0012 N79-14461 The effect of canopy composition on the measured and Panhandle to Gulf of Mexico p0044 N79-14439 System implementation and operations session: calculated reflectance of conifer forests in Michigan The correlation of Skylab L-band brightness temperatures Implementation and operation of yield forecasting and crop pOO03 A79-17881 with antecedent precipitation pOO44 N79-14443 growth stage estimation — Montana. North Dakota. South The use of vegetation as a transducer for environmental Dakota. Nebraska, and Wyoming p0013 N79-14468 Soil moisture study using the SI93 radiometer pollution p0019 A79-17882 p0044 N79-14444 Experiment results session: Accuracy and performance Applications of photometric process in monitoring of LACIE yield estimates --- Great Plains. North Dakota, S193 scatterometer correlation with soil moisture --- vegetation damage due to external stresses Montana. Oklahoma. Texas. Kansas. Colorado. Nebraska. pOO04 A79-17883 Oklahoma and Texas p0045 N79-14445 South Dakota, Minnesota, Canada. Australia, Brazil. India, A comprehensive data processing plan for crop calendar Briefing Materials for Technical Presentations, Volume and U.S.S.R. p0014 N79-14483 MSS signature development from satellite imagery: Crop B: Tne LACIE Symposium Experiment results session: Accuracy and performance identification using vegetation phenology [E79-10031] p0013 N79-14480 of LACIE crop development models — Texas, Oklahoma. [E79-10001] p0007 N79-13424 Experiment results session: LACIE crop years, an Kansas, Nebraska, North Dakota. South Dakota. Montana, assessment of crop conditions — Great Plains. U.S.S.R., and Minnesota p0014 N79-14484 Large Area Crop Inventory Experiment (LACIE). Detection and Canada pOQ14 N79-14481 Supporting Research and Technology (SRT) session: of episodic phenomena on LANDSAT imagery --- Kansas Supporting Research and Technology (SRT) session: Status of yield estimation technology, a review of [E79-10055] P0010 N79-13462 Status of yield estimation technology, a review of second-generation model development — North Dakota. SPECTRAL SIGNATURES second-generation model development ••• North Dakota, Montana. Minnesota, Kansas. South Dakota, Nebraska, Classification of rocks on the basis of signatures and Montana. Minnesota. Kansas, South Dakota. Nebraska. Colorado. Texas. Oklahoma, and U.S.S.R. texture-measures from Landsat imagery Colorado. Texas, Oklahoma, and U.S.S.R. p0014 N79-14489 p0025 A79-14157 p0014 N79-14489 Supporting Research and Technology (SRT) session: New Signature extraction of ocean pollutants by eigenvector Supporting Research and Technology (SRT) session: developments in sampling and aggregation for remotely transformation of remote spectra pOO30 A79-15103 Prediction of wheat phonological development, a sensed surveys •-- Texas. Kansas. Nebraska. Oklahoma, Separability of agricultural cover types in spectral state-of-the-art review p0014 N79-14490 Minnesota. South Dakota. Colorado, and U.S.S.R. channels and wavelength regions USDA Application Test System (ATS) session: ATS p0014 N79-14491 [NASA-CR-157803] p0006 N79-11451 Remote sensing applications to resource problems in experience to date and future plans --- United States of A comprehensive data processing plan for crop calendar South Dakota America. U.S.S.R., and Canada pOOIS N79-14497 MSS signature development from satellite imagery: Crop [E79-10089J p0016 N79-15367 Dryland pasture and crop conditions as seen by HCMM identification using vegetation phenology SOUTHERN CALIFORNIA (E79-10001) pOO07 N79-13424 — Oklahoma Spectral and spatial signature recognition in urbanizing Evaluation of reforested areas using LANDSAT imagery [E79-10079] p0016 N79-15358 areas of southern California from U-2 color infra-red (E79-10019J pOOOS N79-13432 SOILS imagery pOOIS A79-14173 Determination and error analysis of emittance and Sea surface temperature distributions obtained off San Evaluation of spectral channels and wavelength regions spectral emittance measurements by remote sensing Diego. California, using an airborne infrared radiometer for separability of agricultural cover types [E79-10021] p0007 N79-12532 [PB-284736/6] p0030 N79-1 1647 [E79-10024] P0008 N79-13435 Land use survey and mapping and water resources Applications of HCMM satellite data to the study of urban A scene-analysis approach to remote sensing --- San investigation in Korea heating patterns — St. Louis, Missouri and Los Angeles, Francisco, California [E79-10003] p0035 N79-13425 California [E79-10029] p0022 N79-13438 Overview of Brazilian remote sensing activities --- [E79-10040] P0020 N79-13447 Large Area Crop Inventory Experiment (LACIE). Detection Amazon Region Application of remote sensing to selected problems within of episodic phenomena on LANDSAT imagery --- Kansas, [E79-10023J P0049 N79-13434 the state of California [E79-10055] pOOlO N79-13462 Bolivian program of satellite technology of earth [E79-10075] pOOBO N79-15354 Briefing Materials for Technical Presentations, Volume resources. ERTS An integrated study of earth resources in the state of B: The LACIE Symposium [E79-10036) p0049 N79-13443 California using remote sensing techniques [E79-10O31] P0013 N79-14480 Supporting Research and Technology (SRT) session: New [E79-10082] pOOSO N79-15361 Supporting Research and Technology (SRT) session: developments in sampling and aggregation for remotely SOYBEANS Methods for segment wheat area estimation sensed surveys — Texas, Kansas. Nebraska. Oklahoma. USDA Application Test System (ATS) session: p0014 N79-14487 Technology transfer; concepts, user requirements, and their Minnesota. South Dakota, Colorado, and U.S.S.R. Supporting Research and Technology (SRT) session: practical application --- Montana, North Dakota, and p0014 N79-14491 Manual identification of crop types p0014 N79-14488 U.S.S.R. 0014 N79-14492 USDA Application Test System (ATS) session: Data P USDA Application Test System (ATS) session: The USDA Application Test System (ATS) session: The base design for a worldwide multicrop information system application test system, an approach for technology transfer application test system, an approach for technology transfer — U.S.S.R. pOOl 5 N79-14496 --- Montana. North Dakota, and U.S.S.R. --- Montana, North Dakota, and U.S.S.R. Plant cover, soil temperature, freeze, water stress, and p0015 N79-14493 evapotranspiration conditions pOOIS N79-14493 Analysis of principal component transformed LANDSAT [E79-10080] p0016 N79-15359 SPACE MISSIONS data --- Marion, Dickinson, and Morton Counties, Kansas Landsat missions — status, future, and shuttle SOUTH AMERICA [E79-10076] p0040 N79-15355 Preliminary geological precambrian map of Piaui utilization [INPE H46-PE/099] p0026 N79-11450 [AAS 78-019] p0049 A79-17078 SPECTROPHOTOMETRY Applications of photometric process in monitoring Coverage behavior of ERDSAT for some selected areas OAST Space Theme Workshop. Volume 2: Theme vegetation damage due to external stresses of the earth's surface summary. 5: Global service (no. 11). A. Statement. B. p0004 A79-17883 [ESA-TT-494] P0043 N79-11458 26 April 1976 presentation. C. Summary The use of LANDSAT data for the establishment, control INASA-TM-800061 pOOBO N79-15118 SPUNE FUNCTIONS Identification of descriptive parameters in MSS system and supervision of pasture projects in the southeast Amazon SPACE SHUTTLE PAYLOADS by multivariate analysis and spline fining — for sea surface region Space Shuttle and Spacelab utilization: Near-term and or soil mapping p0038 A79-16775 [E79-10016] p0007 N79-12530 long-term benefits for mankind; Proceedings of the Overview of Brazilian remote sensing activities --- Twenty-fourth Annual Meeting and Sixteenth Goddard SQUALLS Amazon Region Memorial Symposium. Washington, O.C.. March 8-10. Severe storm environments: A Skylab EREP report [E79-10023] p0049 N79-13434 1978. Parts 1 & 2 ' pO049 A79-17076 [E79-10027] p0044 N79-14438 Project SUDAM: Use of LANDSAT data to study the Rectification of a whole-sky photograph as a tool for SPACE SURVEILLANCE (SPACEBORNE) impaci of agricultural projects in the Amazon determining spatial positioning of cumulus clouds --- Application of space remote sensing technology to living [E79-100601 pOOlO N79-13467 Oklahoma pO045 N79-14446 marine resources in coastal zones LACtE transition project, FY 1978-1979: Reanalysis Severe storm cloud-top characteristics — Gulf of Mexico [IAF PAPER 78-110] p0029 A79-11248 of CCEA 1 US Great Plains wheat yield models — Texas, and Borneo pOO45 N79-14447 Oklahoma, Colorado. Kansas. North Dakota. South Dakota. Useful spaceborne synthetic aperture radars --- examining 8T LOUIS-KANSAS CITY CORRIDOR (MO) Minnesota. Nebraska. Montana, Badlands, and Red River Seasat-A Applications of HCMM satellite data to the study of urban Valley IlAF PAPER 78-148] p0029 A79-1 1271 healing patterns --- St. Louis, Missouri and Los Angeles. [E79-10062] pOOlO N79-13469 SPACEBORNE PHOTOGRAPHY California Application of LANDSAT images in the Minas Gerais Earth observations and photography experiment: [E79-10O4O) p0020 N79-13447 tectonic division Summary of significant results STATISTICAL ANALYSIS [NASA-TM-75584] p0027 N79-14501 [NASA-CR-157780) p0043 N79-10498 A comparative test of unrestricted, stratified, two-phase Application of LANDSAT in the evaluation of argicultmal The ecology of tout coastal lakes in North Carolina. and two-stage PPS timber volume sampling using an and forest resources — Brazil and Amazon Region Trophic states measured from space imagery orthophoto mosaic --- Probability Proportional to Size [E79-10088] p0016 N79-15366 p0034 N79-12523 p0006 A79-19893 A-19 STEREOPHOTOGRAPHY SUBJECT INDEX

Large Area Crop Inventory Experiment (LAC1E). Test Synthetic aperture radar systems for remote sensing from TEMPERATURE MEASUREMENT and evaluation plan for KSU and CCEA phase 3 yield models space Optimum thermal infrared bands for mapping general — India, China, U.S.S.R.. Canada. Argentina. Australia. (IAF PAPER 78-149] p0041 A79-11272 rock type and temperature from space North Dakota, and Great Plains A system concept for wide swath constant incident angle [NASA-CR-151842] p0026 N79-11449 [E79-10049] POOO9 N79-13456 coverage — for SAR environmental monitoring from TEMPERATURE PROFILES Experiment design session: Accuracy assessment, the space p0042 A79-15744 Inversion of S191 data into temperature and water vapor statistical approach to performance evaluation SAR/LANDSAT image registration study profiles p0044 N79-14441 p0013 N79-14464 (E79-10035] p0039 N79-13442 TENNESSEE STE ME OPHOTOO MAP H Y The use of Landsat-derived land cover data in a flood SYSTEM EFFECTIVENESS Mini-format remote sensing for civil engineering ••• peak correlation study pO033 A79-11755 The cost-effectiveness of operational remote sensing hand-held stereophotography from small aircraft Development of a pollutant monitoring system for technology - A comparative analysis p0047 A79-11386 pOO43 A79-18575 biosphere reserves and results of the Great Smoky STORMS (METEOROLOGY) Large Area Crop Inventory Experiment {LACIE). Level Mountains pilot study pO019 A79-15O82 Measurement of ocean wave heights using the Geos 3 3 baseline; system performance evaluation, report FLAME: Forestry Lands Allocated for Managing energy. altimeter pOO41 A79-11767 integration (SPE-RI) requirements, volume 6-B Feasibility study Severe storm environments: A Skylab EREP report [E79-10073] pO016 N79-15352 [AD-A059993] pO015 N79-14507 [E79-10027J pO044 N79-14438 SYSTEMS ENGINEERING TENNESSEE VALLEY (AL-KY-TN) Severe storm experiment summary --- from Texas A system concept for wide swath constant incident angle The use of Landsat-derived land cover data in a flood Panhandle to Gulf of Mexico p0044 N79-14439 coverage --- for SAR environmental monitoring from peak correlation study pO033 A79-11755 Severe storm cloud-top characteristics — Gulf of Mexico space p0042 A79-15744 TERRAIN and Borneo pOO45 N79-14447 USD A Application Test System (ATS) session: Functional DTM application in topographic mapping STRATEGY definition and design of a USDA system pO021 A79-18194 Supporting Research and Technology (SRT) session: New pO015 N79-14494 TERRAIN ANALYSIS developments in sampling and aggregation for remotely USDA Application Test System (ATS) session: ATS, 40 years of Mississippi River floodplain change assessed sensed surveys --- Texas. Kansas. Nebraska, Oklahoma. technical approach and system design by aerial photography pO033 A79-11661 Minnesota. South Dakota, Colorado, and U.S.S.R. p0015 N79-14495 Holographic terrain displays pO037 A79-12036 pOO14 N79-14491 The automated generation and processing of digital STRIP MINING terrain data for engineering planning p0019 A79-16597 Application of multispectral scanner data to the study The application of digital terrain model and space of an abandoned surface coal mine resection techniques to digitizing the position of southern [NASA-TM-78912] p0027 N79-13472 pine beetle infestations delineated on large scale aerial Remote monitoring of coal strip mine rehabilitation TASMANIA photographs pO004 A79-17884 [PB-286647/3) pO027 N79-15379 Recognition of patterns of damage in tall forests in Digital terrain models - An overview STRIPPING Australia — by aerial photography p0004 A79-17889 p0021 A79-18193 Radiometric correction of LAND SAT data Detection of a crown dieback in Australian eucalypt Production mapping with orthophoto digital terrain [E79-10017] pOO44 N79-12531 forests on large-scale aerial photographs models pO021 A79-18195 STRUCTURAL PROPERTIES (GEOLOGY) pO004 A79-17891 Experimental investigation into the accuracy of contouring The importance of repeated and muttispectral analyses TECHNOLOGY ASSESSMENT from DTM — digital terrain models p0021 A79-18196 in geological-structural applications of data obtained from A review of space research, 1976-1977 Applications of DTM in the Forest Service — Digital space p0026 A79-16777 p0048 A79-13383 Terrain Information System pOOO6 A79-18197 SUDAN Land use survey and mapping and water resources Case applications of remote sensing for vegetation investigation in Korea Interdisciplinary application of the 'DIBIAS* digital image damage assessment p0004 A79-17888 [E79-10O03] p0035 N79-13425 processing system to geological and maritime problems Post LANDSAT D advanced concept evaluation pO038 A79-14181 HCMM Heat Capacity Mapping Mission p0049 N79-10096 [E79-10O07] pOOOS N79-13428 Use of Landsat imagery for Lake Nasser resource OAST Space Theme Workshop. Volume 2: Theme A scene-analysis approach to remote sensing --- San management p0034 A79-15133 summary. 5: Global service (no. 11). A. Statement. B. Francisco. California SUGAR CANE 26 April 1976 presentation. C. Summary [E79-10029] p0022 N79-13438 Overview of Brazilian remote sensing activities —- lNASA-TM-80006] pOOSO N79-15118 TEXAS Amazon Region TECHNOLOGY TRANSFER Computer-aided analysis of Landsat data for surveying [E79-10023] pOO49 N79-13434 Technology transfer: Concepts, user requirements, and Texas coastal zone environments p0038 A79-14168 Plant cover, soil temperature, freeze, water stress, and a practical application pO049 N79-14455 Large Area Crop Inventory Experiment (LACIE). LACIE evapotranspiration conditions Briefing Materials for Technical Presentations, Volume quick look accuracy assessment report, review of the [E79-10080] p0016 N79-15359 B: The LACIE Symposium December 17. 1976 CAR — Minnesota, Montana, Kansas. SULFUR DIOXIDES [E79-10031] pO013 N79-14480 South Dakota. Texas. Oklahoma, and Nebraska Detecting the effects of sulfur dioxide emissions on USDA Application Test System {ATS) session: [E79-10052] p0009 N79-13459 vegetation by remote sensing pOOOS A79-17897 Technology transfer; concepts, user requirements, and their Large Area Crop Inventory Experiment (LACIE). Effects SURFACE PROPERTIES practical application --- Montana, North Dakota, and of non-response including cloud cover on aggregation of Surface texture analysis with thermal and near infrared U.S.S.R. p0014 N79-14492 wheat area in the US Great Plains --- Colorado. Kansas, scanners pO021 A79-10997 USDA Application Test System (ATS) session: The Nebraska. Oklahoma, and Texas The origin of surface lineaments in Nemaha County, application test system, an approach for technology transfer [E79-10057] p0010 N79-13464 Kansas — Montana, North Dakota, and U.S.S.R. Large Area Crop Inventory Experiment (LACIE). (PB-287302/4) p0023 N79-15394 p0015 N79-14493 LANDSAT 3X gain study — Kansas. Texas, and Imperial SURFACE TEMPERATURE USDA Application Test System (ATS) session: Functional Valley, California Sea surface temperature distributions obtained off San definition and design of a USDA system [E79-10059] pOOlO N79-13466 Diego. California, using an airborne infrared radiometer DO015 N79-14494 LACIE transition project. FY 1978-1979: Reanalysis [PB-284736/6] p0030 N79-11647 USDA Application Test System (ATS) session: Data of CCEA 1 US Great Plains wheat yield models —- Texas. Determination and error analysis of emittance and base design for a worldwide multicrop information system Oklahoma. Colorado, Kansas. North Dakota. South Dakota. spectral emittance measurements by remote sensing — U.S.S.R. p0015 N79-14496 Minnesota. Nebraska, Montana, Badlands, and Red. River [E79-1O021] p0007 N79-12532 USDA Application Test System (ATS) session: ATS Valley experience to date and future plans — United States of SURFACE WATER [E79-10062] pOOlO N79-13469 America, U.S.S.R.. and Canada p0015 N79-14497 Landsat change detection can aid in water quality Severe storm environments: A Skylab EREP report TECHNOLOGY UTILIZATION monitoring p0033 A79-11667 [E79-10027] pOO44 N79-14438 Internationalization of remote sensing technology Analysis of the effects of interpolation and enhancement pO047 A79-11662 Severe storm experiment summary — from Texas of LANDSAT* 1 Data on classification and area estimation Current and potential uses of aerospace technology by Panhandle to Gulf of Mexico pOO44 N79-14439 accuracy the U.S. Department of the Interior Derived water temperatures using S191 and S192 data [E79-10038] pOOOS N79-13445 (AIAA PAPER 78-1716] pO048 A79-13833 — Oklahoma and Texas pOO44 N79-14440 Detection and mapping package. Analyst's guide; Space Shuttle and Spacelab utilization: Near-term and S193 scatterometer correlation with soil moisture --- interpreting impounded surface water long-term benefits for mankind; Proceedings of the Oklahoma and Texas pOO45 N79-14445 [E79-10067] p0036 N79-15347 Twenty-fourth Annual Meeting and Sixteenth Goddard Remote sensing of atmospheric water vapor — Oklahoma SURFACE WAVES Memorial Symposium, Washington. D.C., March 8-10. and Texas p0045 N79-14448 Application of LANDSAT satellite imagery and 1978. Parts 1 & 2 pOO49 A79-17076 Experiment results session: Accuracy and performance oceanographk data for verification of an upwelling Supporting Research and Technology (SRT) session: of LACIE yield estimates --- Great Plains. North Dakota. mathematical model •-- Atlantic Coast of Brazil Supporting research, a focused approach to research Montana. Oklahoma, Texas. Kansas. Colorado, Nebraska. [E79-10026] p0031 N79-13437 development p0014 N79-14486 South Dakota. Minnesota, Canada. Australia. Brazil. India, SWEDEN The inventory and distribution of water and associated and U.S.S.R. p0014 N79-14483 land resources in the Garrison/Devils Lake Region of ND: Swedish space activities during 1977 Experiment results session: Accuracy and performance An application of resource data acquired p0049 N79-11940 of LACIE crop development models —- Texas. Oklahoma. |PB 286091/4) p0036 N79-14525 On the gravimetric survey of the Gulf of Bothnia Kansas. Nebraska, North Dakota. South Dakota. Montana, pO022 N79-12497 TECTONICS and Minnesota p0014 N79-14484 Contemporary tectonics in the Tien Shan region The status of existing global crop forecasting --- United pO021 A79-18863 Supporting Research and Technology (SRT) session: States of America. U.S.S.R.. Canada. Brazil. Australia. Review of satellite tracking techniques probably capable Status of yield estimation technology, a review of Sweden, and Kenya pO012 N79-14450 of monitoring plate tectonics pO022 N79-12501 second-generation model development --- North Dakota. SWITZERLAND Geodetic high precision measurements in active tectonic Montana, Minnesota. Kansas. South Dakota, Nebraska. Realistic land use mapping —- using MSS remote sensing areas pO022 N79-12503 Colorado, Texas, Oklahoma, and U.S.S.R. and aerial photography pOO18 A79-14167 Utilization of LANDSAT images for geological p0014 N79-14489 SYNOPTIC MEASUREMENT investigation in the central portion of Minas Gerais Supporting Research and Technology (SRT) session: New Advanced systems requirements for ocean observations [E79-10020J p0027 N79-13433 developments in sampling and aggregation for remotely via microwave radiometers Application of LANDSAT images in the Minas Gerais sensed surveys — Texas. Kansas. Nebraska. Oklahoma. [AIAA PAPER 78-1737] pOO30 A79-1385O tectonic division Minnesota. South Dakota. Colorado, and U.S.S.R. SYNTHETIC APERTURE RADAR [NASA-TM-75584] pO027 N79-14501 p0014 N79-14491 Useful spacebome synthetic aperture radars — examining TEMPERATURE GRADIENTS TEXTURES Seasat-A HCMM Heat Capacity Mapping Mission Surface texture analysis with thermal and near infrared [IAF PAPER 78-148] p0029 A79-11271 |E79 10007] pOOOS N79-13428 scanners p0021 A79-10997 A 20 SUBJECT INDEX UNITED STATES OF AMERICA

THAILAND Nationwide forestry applications program: Proceedings of Plenary Session: The LACIE Forest inventory of east Thailand using ERTS-1 and Ten-Ecosystem Study (TES) site 3. St. Louis County. Symposium ground truth survey Minnesota [E79-10028] pOOII N79-14449 INASA-TT-F-17065] p0006 N79-10500 [E79-10034] pOOOS N79-13441 The status of existing global crop forecasting — United THEMATIC MAPPING FLAME; Forestry Lands Allocated for Managing energy. States of America. U.S.S.R.. Canada. Brazil. Australia. Application of a digital image processing system to land Feasibility study Sweden, and Kenya p0012 N79-14450 use mapping from Landsat data [AD-A059993] p0015 N79-14507 LACIE: An experiment in global crop forecasting — [IAF PAPER 78-130] pQ017 A79-11263 Nationwide forestry applications program, A literature United States of America and U.S.S.R. p0012 N79-14451 review of major remote sensing projects mapping forest A self-contained Landsat data reception and precision The impact of LACIE on a national meteorological land in the United States, using satellite data and automatic cartographic image production system capability — Canada and U.S.S.R. p0020 N79-14456 pOO21 A79-14179 data processing (E79-10O72) pOOJ6 N79-15351 System implementation and operations session: The A national program for land use and land cover mapping Application of LANDSAT in the evaluation of argicultural LACIE Application Evaluation System (AES). a design using remotely sensed data pOOIS A79-15034 and forest resources — Brazil and Amazon Region overview p0013 N 79-14465 Washington State forest insect survey - Combining aerial [E79-10088] PO016 N79-15366 System implementation and operations session: sketch map and remote sensing techniques Remote sensing applications to resource problems in Classification and mensuration, an approach to LANDSAT pOOOS A79-17901 South Dakota data analysis for crop identification --• U.S.S.R., Kansas. A selected bibliography: Remote sensing applications [E79-10089] PO016 N79-15367 North Dakota, and Montana p0013 N79-14467 for tropical and subtropical vegetation analysis TIMBER VIGOR System implementation and operations session: IPB-284683/0] p0007 N79-12539 The value of volume and growth measurements in limber Accuracy assessment, system implementation and THERMAL MAPPING sales management of the National Forests operation --- Oklahoma, Montana, Minnesota, and Surface texture analysis with thermal and near infrared pOOOl A79-11389 U.S.S.R. p0013 N79-14470 scanners p0021 A79-10997 Quantifying gypsy moth defoliation p0002 A79-13794 System implementation and operations session: LAClE The use of vegetation as a transducer for environmental The use of CIR aerial photography for Dutch elm disease AES efficiency report — United States of America and pollution p0019 A79-17882 detection — Color IR p0004 A79-17892 U.S.S.R. p0013 N79-14471 Optimum thermal infrared bands for mapping general Remote analysis of forest tree mortality in California Briefing Materials for Technical Presentations, Volume pOOOS A79-17894 rock type and temperature from space B: The LACIE Symposium [NASA-CR-151842] p0026 N79-11449 Detection of Armillaria root rot damage with shadow!ess [E79-10O31] 0013 N79-14480 color infrared photography pOOOB A79-17899 P HCMM Heat Capacity Mapping Mission Experiment results session: LACIE crop years, an Remote sensing for determination of seedling survival assessment of crop conditions — Great Plains. U.S.S.R.. [E79-10007] pOOOB N79-13428 — for reforestation of clear cut areas pOOOS A79-17902 Geologic application of thermal-inertia mapping from and Canada p0014 N79-14481 TOPOGRAPHY Experiment results session: Accuracy and performance satellite --- Wyoming and Arizona DTM application in topographic mapping [E79-10081] p0027 N79-15360 of LACIE estimates — Minnesota, Oklahoma, North Dakota, p0021 A79-18194 Great Plains. Canada, and U.S.S.R. pOOU N79-14482 THEKMOPHYS1CAL PROPERTIES The use of LANDSAT data for the establishment, control Experiment results session: Accuracy and performance Estimation of the soil composition by IR observation of and supervision of pasture projects in the southeast Amazon of LACIE yield estimates — Great Plains, North Dakota. the earth by satellites region Montana, Oklahoma. Texas, Kansas, Colorado. Nebraska. [IAF PAPER 78-126] p0025 A79-11260 [E79-10016] P0007 N79-12530 South Dakota, Minnesota. Canada, Australia. Brazil. India, THUNDERSTORMS A scene-analysis approach to remote sensing --- San and U.S.S.R p0014 N79-14483 Severe storm environments: A Skylab EREP report Francisco. California Supporting Research and Technology (SRT) session: [E79-10O27] p0044 N79-14438 [E79-10029] p0022 N79-13438 Status of yield estimation technology, a review of "Hie correlation of Skylab L-band brightness temperatures Supporting Research and Technology (SRT) session: New second-generation model development — North Dakota. with antecedent precipitation pOO44 N79-14443 developments in sampling and aggregation for remotely Montana, Minnesota. Kansas. South Dakota. Nebraska. Severe storm cloud-top characteristics --- Gulf of Mexico sensed surveys — Texas, Kansas, Nebraska. Oklahoma. Colorado, Texas. Oklahoma, and U.S.S.R. and Borneo p0045 N79-14447 Minnesota, South Dakota, Colorado, and U.S.S.R. p0014 N79-14489 pOO14 N79-14491 TIDAL FLATS Supporting Research and Technology (SRT) session: New TRANSFORMATIONS (MATHEMATICS) Multispectral classification on tidal lands developments in sampling and aggregation for remotely Analysis of principal component transformed LANDSAT p0030 A79-14158 sensed surveys --- Texas, Kansas, Nebraska. Oklahoma. data — Marion, Dickinson, and Morton Counties. Kansas Minnesota. South Dakota, Colorado, and U.S.S.R. TIDES (E79-10076] POO40 N79-15355 p0014 N79-14491 Mapping ocean tides with satellites • A computer TREES (PLANTS) simulation p0038 A79-18324 USDA Application Test System (ATS) session: Remote analysis of forest tree mortality in California Technology transfer; concepts, user requirements, and their TIMBER IDENTIFICATION 00005 A79-17894 practical application --- Montana. North Dakota, and Improvement of earth resource inventories utilizing Evaluation of reforested areas using LANDSAT imagery U.S.S.R. p0014 N79-14492 remotely sensed data /sampling and remote sensing/ [E79-10019] pOOOS N79-13432 USDA Application Test System (ATS) session: The pOOO! A79-11382 Overview of Brazilian remote sensing activities --- application test system, an approach for technology transfer Evaluation of reforested areas using LANDSAT imagery Amazon Region — Montana. North Dakota, and U.S.S.R. [E79-10019] pOOOS N79-13432 [E79-10023] P0049 N79-13434 p0015 N79-14493 TIMBER INVENTORY Remote sensing applications to resource problems in USDA Application Test System (ATS) session: Data The value of votume and growth measurements in timber South Dakota base design for a worldwide multicrop information system sales management of the National Forests [E79-10089] pOO!6 N79-15367 — US.S.R. p0015 N79-14496 pOOOl A79-11389 TROPICAL REGIONS USDA Application Test System (ATS) session: ATS Landsat forest inventory of the Philippines SLAR for forest type-classification in a semi-deciduous experience to date and future plans — United States of tropical region pOO06 A79-19891 p0002 A79-11665 America. U.S.S.R.. and Canada P001 5 N79-14497 A selected bibliography: Remote sensing applications Spray block mapping control for spruce budworm using U.S.S.R. SPACE PROGRAM for tropical and subtropical vegetation analysis Landsat and high altitude remote sensing Application of space images to geological investigations [P8-284683/OJ pO007 N79-12539 pO002 A79-14152 in the USSR to date and in future Deforestation planning for cattle grazing in Amazon Basin [IAF PAPER 78-111] pOO25 A79-11249 A study of the potential of Landsat MSS digital data using LANDSAT data for woodland census in Britain p0003 A79-17274 Ocean observation from space pO031 N79-13995 [E79-10018] pOOOS N79-13431 UNITED STATES Of AMERICA Previsual detection of stressed loblolly pine /Pinus taeda The application of remote sensors to a model for fish Economic analysis in the Pacific Northwest Land L./ p0003 A79-17879 mapping Resources Project - Theoretical considerations and The effect of canopy composition on the measured and [INPE-1379-PE/176] p0031 N79-14712 preliminary results pOO47 A79-11383 calculated reflectance of conifer forests in Michigan 40 years of Mississippi River floodplain change assessed pOOOS A79-17881 by aerial photography p0033 A79-11661 Recognition of patterns of damage in tall forests in U The Pacific Northwest Regional Commission's Land Australia — by aerial photography pOOO4 A79-17889 Resource Inventory Demonstration Project - The user's Full coverage at large scale --- under-cloud aerial U.S.S.R. experience photography for monitoring forest disease On the gravimetric survey of the Gulf of Bothnia [AIAA PAPER 78-1719] p0018 A79-13835 pOOO4 A79-17890 p0022 N79-12497 Monitoring gypsy moth defoliation by-applying change Detection of a crown dieback in Australian eucalypt Large Area Crop Inventory Experiment (LACIE). LACIE detection techniques to Landsat imagery forests on large-scale aerial photographs phase 3 accuracy assessment plan pOO04 A79-17887 p0004 A79-17891 (E79-10044] PO009 N79-13451 Remote sensing approach to identifying preferred Remote sensing approach to identifying preferred Large Area Crop Inventory Experiment {LACIE), Test Douglas-fir tussock moth /Orgyia pseudotsugata McD./ Douglas-fir tussock moth /Orgyia pseudotsugata McD./ and evaluation plan for KSU and CCEA phase 3 yield models sites pOOOS A79-17893 sites pOOOS A79-17893 --- India. China. U.S.S.R.. Canada, Argentina, Australia, Large Area Crop Inventory Experiment (LACIE). LACIE Remote analysis of forest tree mortality in California North Dakota, and Great Plains phase 3 accuracy assessment plan pOOOS A79-17894 [E79-10O49J p0009 N79-13456 [E79-10044] pOOO9 N79-13451 Multiphase airphoto assessment for annual losses caused Large Area Crop Inventory Experiment (LACIE}. The nation's water resources, the second national water by the mountain pine beetle in lodgepole pine Second-generation sampling strategy evaluation report — assessment, summary report pOOOS A79-17895 Kansas. North Dakota, and U.S.S.R. [PB-285746/4) POO35 N79-13483 Results of a two-stage unequal probability /PPS/ [E79-10056] pOOTO N79-13463 Independent Peer Evaluation of the Large Area Crop sampling for timber volume using an orthophoto mosaic Inventory Experiment (LACIE): The LACIE Symposium Large Area Crop Inventory Experiment (LACIE). Detecting pOOO6 A79-19892 [E79-100O9J pO011 N79-14430 and monitoring agricultural vegetative water stress over A comparative test of unrestricted, stratified, two-phase An independent evaluation by the plenary peer review large areas using LANDSAT digital data — Great Plains and two-stage PPS timber volume sampling using an team — United States of America. U.S.S.R., and Canada [E79-10O63) pOOlO N79-13470 orthophoto mosaic --- Probability Proportional to Size p0011 N79-14431 Independent Peer Evaluation of the Large Area Crop pO006 A79-19893 Findings of the experiment results peer group — United Forest inventory of east Thailand using ERTS-1 and Inventory Experiment (LACIE): The LACIE Symposium States of America. U.S.S.R.. and Canada ground truth survey [E79-100O9] p0011 N79-14430 pOOU N79-14432 [NASA-TT-F-17065] p0006 N73-10500 An independent evaluation by the plenary peer review Proceedings of Plenary Session: The LACIE : Forest resource information system team - - United States of America. U.S.S.R.. and Canada Symposium (£79-10010) p0007 N79-12526 p0011 N79-14431 [E79-10028] pOOU N79-14449 Remote sensing of agricultural resources. A bibliography Findings of the experiment results peer group --- United The status of existing global crop forecasting — United with abstracts States of America, U.S.S.R.. and Canada States of America. U.S.S.R.. Canada. Brazil, Australia. [NTIS/PS-78/0969/2] p0007 N79-12536 p0011 N79-14432 Sweden, and Kenya p0012 N79-14450 A-21 UP WELLING WATER SUBJECT INDEX

LACIE: An experiment in global crop forecasting — USOA Application Test System (ATSI session: Functional Nationwide forestry applications program. A literature United States of America and U.S.S.R. p0012 N79-14451 definition and design of a USDA system review of major remote sensing projects mapping forest System implementation and operations session: The p0015 N79-14494 land in the United States, using satellite data and automatic LACIE Application Evaluation System (AES), a design USDA Application Test System (ATS) session: ATS. data processing overview pO013 N79-14465 technical approach and system design [E79-10072) p0016 N79-15351 System implementation and operations session: pOOIS N79-14495 WATER Classification and mensuration, an approach to LA NO SAT Remote sensing applied to surveying the thermomineral data analysts for crop identification -*- U.S.S.R.. Kansas. water region of Caldas Novas. Goias North Dakota, and Montana p0013 N79-14467 [E79-10014] p0027 N79-12529 System implementation and operations session: LACIE WATER CIRCULATION AES efficiency report — United States of America and Remote sensing and ocean modelling - An application U.S.S.R. pO013 N79-14471 VALLEYS to the Adriatic Sea p0030 A79-16776 USDA'Application Test System (ATS) session: ATS Overview of Brazilian remote sensing activities --- WATER COLOR experience to date and future plans — United States of Amazon Region Application of the remote sensing of sea color for the America. U.S.S.R.. and Canada pOOtS N79-t4497 (£79-10023] pOO49 N79-13434 study of marine suspensions pO029 A79-13384 The nation's water resources, the second national water LA NO SAT and environmental impact in the Paraiba Valley WATER CONSUMPTION assessment. Part 1: Introduction of Sao Paulo The nation's water resources, the second national water [PB-285747/2] pO035 N79-14512 [E79-10086] p0020 N79-15364 assessment, summary report The nation's water resources, the second national water Mapping of Earth fissures in Las Vegas Valley, Nevada [PB-285746/4] P0035 N79-13483 assessment. Part 2: Water management problem [PB-286969/1] p0023 N79-15508 The nation's water resources, the second national water profiles assessment. Part 3: Functional water uses VEGETATION [PB-285748/0] p0035 N79-14513 (PB-285749/8] p0035 N79-14514 Symposium on Remote Sensing for Vegetation Damage The nation's water resources, the second national water The nation's water resources, the second national water Assessment. Seattle, Wash.. February 14*16. 1978. assessment. Part 3: Functional water uses assessment. Appendix B: Methodologies and Proceedings p0003 A79-17876 [PB-285749/81 p0035 N79-14514 socio-economic characteristics and patterns of change and The nation's water resources, the second national water Remote sensing and vegetation damage - A theory for water use and water supply data assessment. Part 4: Water supply and water quality detection and assessment pOO03 A79-17877 tPB-285815/7] pOO36 N79-14517 considerations Previsual detection - The elusive dream --- for remotely WATER MANAGEMENT [PB-28575O/6J pO035 N79-T4515 sensed vegetation damage pOO03 A79-17878 The nation's water resources, the second national water The nation's water resources, the second national water The use of vegetation as a transducer for environmental assessment, summary report assessment. Part 5: Regional assessment summaries pollution p0019 A79-17882 (PB-285746/4] P0035 N79-13483 (PB-2B5751/4) p003B N79-14516 Applications of photometric process in monitoring The nation's water resources, the second national water Nationwide forestry applications program. A literature vegetation damage due to external stresses assessment. Part 2: Water management problem review of major remote sensing projects mapping forest P0004 A79-17883 profiles land in the United States, using satellite data and automatic Case applications of remote sensing for vegetation [PB-285748/0] P0035 N79-14513 data processing damage assessment pOOO4 A79-17888 WATER POLLUTION [E79-1O072] p0016 N79-15351 American Society of Photogrammetry, Fall Technical Vegetation damage surveying in India Meeting. Little Rock. Ark., October 18-21. 1977. UPWELUNO WATER p0005 A79-17900 Space observations over fishing grounds --- upwelling Proceedings p0037 A79-11657 The use of LANDSAT data for the establishment, control pattern monitoring p0029 A79-12506 Quantitative mapping of paniculate iron in an ocean dump and supervision of pasture projects in the southeast Amazon Application of . LANDS AT satellite imagery and using remotely sensed data p0029 A79-11766 region Signature extraction of ocean pollutants by eigenvector oceanographic data for verification of an upwelling 1E79-10016] p0007 N79-12530 mathematical model — Atlantic Coast of Brazil transformation of remote spectra p0030 A79-15103 A selected bibliography: Remote sensing applications [E79-10026] pO031 N79-13437 Remote sensing applied to environmental pollution for tropical and subtropical vegetation analysis detection and management. A bibliography with URBAN DEVELOPMENT [PB-284683/0] p0007 N79-12539 abstracts The use of earth surface observation data for development Deforestation planning for cattle grazing in Amazon Basin [NT1S/PS-78/0789/4] pO019 N79-1050S planning of Greater Jakarta Metropolitan Area using LANDSAT data Overview of Brazilian remote sensing activities --- [IAF PAPER 78-119) pO017 A79-11257 [E79-10018] pOOOS N79-13431 Amazon Region A reduction in ag./residential signature conflict using Dryland pasture and crop conditions as seen by HCMM [E79-10023] p0049 N79-13434 principal components analysis of Landsat temporal data The nation's water resources, the second national water p0017 A79-11669 — Oklahoma [E79-10079] p0016 N79-15358 assessment, summary report Spectral and spatial signature recognition in urbanizing Plant cover, soil temperature, freeze, water stress, and [PB-285746/4] p0035 N79-13483 areas of southern California from U-2 color infra-red evapotranspiration conditions WATER QUALITY imagery p0018 A79-14173 [E79-1O080] p0016 N79-15359 The blue-to-green reflectance ratio and lake water Remote sensing applied to urban and regional planning. quality p0029 A79-11000 A determination of the optimum time of year for remotely A bibliography with abstracts Landsat change detection can aid in water quality classifying marsh vegetation from LANDSAT multispectral [NTIS/PS-78/0790/2] p0019 N79-10506 monitoring p0033 A79-11667 scanner data — Louisiana Population and growth estimates of urban areas in the |E79 1OO84] p0036 N79-15362 Landsat analysis of lake quality for statewide lake state of Sao Paulo utilizing LANDSAT images classification pOO33 A79-11756 LANDSAT and environmental impact in the Paraiba Valley [E79-10015J p0020 N79-13430 Multidate data extraction procedures for a statewide of Sao Paulo Landsat lake quality monitoring program URBAN PLANNING [E79-1O086) p0020 N79-15364 The use of earth surface observation data for development p0033 A79-11757 planning of Greater Jakarta Metropolitan Area VEGETATION GROWTH An interactive lake survey program — airborne Monitoring vegetation changes in a large impacted [IAF PAPER 78-119) pO017 A79-11257 multispectral sensor image processing wetland using quantitative field data and quantitative remote 0034 A79-12007 URBAN RESEARCH P sensing data pO019 A79-15O51 Marine monitoring of natural oil sticks and man made Landsat derived, land cover and imperviousness Use of color infrared aerial photography for documenting wastes utilizing an airborne imaging Fraunhofer line categories for metropolitan Washington - An baseline vegetation stress in environmental impact discriminator pO042 A79-151O4 urban/non-urban, computer approach pO018 A79-11759 assessment pOOOS A79-17896 Biological water quality monitoring from remote stations The use of CIR aerial photography for Dutch elm disease Detecting the effects of sulfur dioxide emissions on and NASA GOES satellite p0034 A79-15131 detection — Color IR pOOO4 A79-17892 vegetation by remote sensing pOOOS A79-17897 Trophic classification of Colorado lakes utilizing contact Population and growth estimates of urban areas in the Remote sensing of vegetation damage to assess the data, Landsat and aircraft-acquired multispectral scanner state of Sao Paulo utilizing LANDSAT images effectiveness of prescribed burning in Australia data p0034 A79-15132 [E79-10015) pO020 N79-13430 P0006 A79 17903 The nation's water resources, the second national water Applications of HCMM satellite data to the study of urban assessment. Part 4: Water supply and water quality Applications of remote sensing to vegetation injury heating patterns — St. Louis. Missouri and Los Angeles, considerations caused by air pollution pOO06 A79-179O4 California [PB-285750/6] P0035 N79-14515 [E79-10O40] pO020 N79-13447 A comprehensive data processing plan for crop calendar WATER RESOURCES MSS signature development from satellite imagery: Crop Utilization of orbital data from LANDSAT 1 in the Multispectral remote observations of hvdrologic features identification using vegetation phenology classification of urban land usage of the Sao Jose on the North Slope of Alaska p0033 A79-11672 [E79 10O01] p0007 N79-13424 grassland Use of Landsat imagery for Lake Nasser resource [E79-10085] pO020 N79-15363 Evaluation of reforested areas using LANDSAT imagery management p0034 A79-15133 [E79-10019J pOOOS N79-13432 LANDSAT and environmental impact in the Paraiba Valley Post LANDSAT D advanced concept evaluation of Sao Paulo Bolivian program of satellite technology of earth pOO49 N79-10096 [E79-10086] p0020 N79-15364 resources. CRTS Land use survey and mapping and water resources [E79-10036] pOO49 N79-13443 USER REQUIREMENTS investigation in Korea An analysis of aircraft requirements to meet United States VIEW EFFECTS [E79-10003] pO035 N79-13425 The effect of canopy composition on the measured and Department of Agriculture remote sensing goals Bolivian program of satellite technology of earth calculated reflectance of conifer forests in Michigan pOOOl A79-11388 resources. ERTS pOOOS A79-17881 Cornell's remote sensing program - Remote sensing for [E79-10036] p0049 N79-13443 the user pOO48 A79-11753 INPE remote sensing program --- Brazil Techniques for acquiring earth resource data that will W [E79-10061] p0049 N79-13468 be acceptable and useful to program managers The nation's water resources, the second national water (AIAA PAPER 78-1720] pOO48 A79-13836 assessment, summary report WASHINGTON [PB-285746/4) p0035 N79-13483 Technology transfer: Concepts, user requirements, and Improvement of earth resource inventories utilizing a practical application pOO49 N79-14455 remotely sensed data /sampling and remote sensing/ Icebergs for use as fresh water USDA Application Test System (ATS) session: pOOOl A79-11382 [PB-285664/9] pO035 N79-13485 Technology transfer; concepts, user requirements, and their Detection of Armillaria root rot damage with shadowless The nation's water resources, the second national water practical application --- Montana. North Dakota, and color infrared photography pOOOS A79-17899 assessment. Part 1: Introduction U.S.S.R. pO014 N79-14492 Washington State forest insect survey - Combining aerial [PB-285747/2] pO035 N79-14512 USDA Application Test System (ATS) session: The sketch map and remote sensing techniques The nation's water resources, the second national water application test system, an approach for technology transfer POO05 A79-17901 assessment. Part 2: Water management problem — Montana. North Dakota, and U.S.S.R. Remote sensing for determination of seedling survival profiles pO015 N79-14493 — for reforestation of clear cut areas pOOOS A79-17902 [PB-285748/OJ p0035 N79-14513 A-22 SUBJECT INDEX WOOD

The natron's water resources, the second national water Large Area Crop Inventory Experiment (LACIE). Level Experiment results session: LACIE crop years, an assessment. Part 3: Functional water uses 3 baseline: LACIE Information Evaluation (IE) assessment of crop conditions — Great Plains. U.S.S.R.. [PB-285749/8] p0035 N79-14514 implementation/operations plan and Canada p0014 N79-14481 The nation's water resources, the second national water [E79-10047] p0009 N79-13454 Experiment results session: Accuracy and performance assessment. Part 4: Water supply and water quality Large Area Crop Inventory Experiment {LACIE), Test of LACIE estimates — Minnesota, Oklahoma. North Dakota, considerations and evaluation plan for KSU and CCEA phase 3 yield models Great Plains. Canada, and U.S.S.R. p0014 N79-14482 IPB-285750/6] p0035 N79-14515 --• India. China. U.S.S.R.. Canada. Argentina. Australia. Experiment results session: Accuracy and performance The nation's water resources, the second national water North Dakota, and Great Plains of LACIE yield estimates — Great Plains. North Dakota. assessment. Part 5: Regional assessment summaries [E79-10049] pOO09 N79-13456 Montana. Oklahoma. Texas. Kansas. Colorado. Nebraska. [PB-285751/4J pOO36 N79-14516 Large Area Crop Inventory Experiment {LACIE). LACIE South Dakota. Minnesota. Canada. Australia. Brazil. India, quick look accuracy assessment report, review of the The nation's water resources, the second national water and U.S.S.R. p0014 N79-14483 December 17, 1976 CAR ••- Minnesota. Montana. Kansas, assessment. Appendix B: Methodologies and Experiment results session: Accuracy and performance South Dakota. Texas. Oklahoma, and Nebraska socio-economic characteristics and patterns of change and of LACIE crop development models -•- Texas. Oklahoma. [E79-10052] pOO09 N79-13459 water use and water supply data Kansas. Nebraska. North Dakota, South Dakota, Montana, Large Area Crop Inventory Experiment (LACIE). Level [PB-285815/7] p0036 N79-14517 and Minnesota p0014 N79-14484 3 baseline: LACIE operations plan Preliminary runoff and streamflow predictions in the (E79-10053) pOO09 N79-13460 Experiment results session: Economic evaluation: Humboldt River basin based on snow distribution Large Area Crop Inventory Experiment (LACIE). Detection concepts, selected studies, system cost, and a proposed measurements from sequential satellite imagery of episodic phenomena on LANDSAT imagery --- Kansas program p0014 N79-14485 [PB-286122/7] p0036 N79 14518 [E79-10055] p0010 N79-13462 Supporting Research and Technology (SRT) session: The inventory and distribution of water and associated Large Area Crop Inventory Experiment (LACIE). Supporting research, a focused approach to research land resources in the Garrison/Devils Lake Region of NO: Second-generation sampling strategy evaluation report — development p0014 N79-14486 An application of resource data acquired Kansas, North Dakota, and U.S.S.R. Supporting Research and Technology (SRT) session: [PB-286091/41 p0036 N79-14525 [E79-10056] p0010 N79-13463 Methods for segment wheat area estimation An integrated study of earth resources in the stale of Large Area Crop Inventory Experiment (LACIE). Effects p0014 N79-14487 California using remote sensing techniques of non-response including cloud cover on aggregation of Supporting Research and Technology (SRT) session: [E79-10082] p0050 N79-15361 wheat area in the US Great Plains — Colorado. Kansas. Manual identification of crop types pOO14 N79-14488 WATER TEMPERATURE Nebraska Oklahoma, and Texas Supporting Research and Technology (SRT) session: Sea surface temperature distributions obtained off San [E79-10057] pOOlO N79-13464 Status of yield estimation technology, a review of Diego. California, using an airborne infrared radiometer Large Area Crop Inventory Experiment (LACIE). LACIE second-generation model development — North Dakota. [PB-284736/6J p0030 N79-11647 crop calendar test and evaluation plan Montana, Minnesota, Kansas, South Dakota. Nebraska, Coastal zone and open ocean observations from NOAA [E79-10058] pO010 N79-13465 Colorado. Texas. Oklahoma, and U.S.S.R, satellite very high resolution radiometers Large Area Crop Inventory Experiment (LACIE). p0014 N79-14489 LANDSAT 3X gain study — Kansas. Texas, and Imperial [PB-284445/4] D0031 N79-11648 Supporting Research and Technology (SRT) session: Valley. California Application of LANDS AT satellite imagery and Prediction of wheat phonological development, a [E79-10059] pOOlO N79-13466 oceanographic data for verification of an upwelling LACIE transition project, FY 1978-1979: Reanalysis state-of-the-art review p0014 N79-14490 mathematical model — Atlantic Coast of Brazil of CCEA 1 US Great Plains wheat yield models --- Texas, Supporting Research and Technology (SRT) session: New IE79-10026J pO031 N79-13437 Oklahoma. Colorado, Kansas. North Dakota. South Dakota, developments in sampling and aggregation for remotely Derived water temperatures using S191 and S192 data Minnesota, Nebraska, Montana. Badlands, and Red River sensed surveys --- Texas, Kansas. Nebraska, Oklahoma, — Oklahoma and Texas p0044 N79-14440 Valley Minnesota, South Dakota, Colorado, and U.S.S.R. Inversion of S191 data into temperature and water vapor [E79-10062] pOOtO N79-13469 o0014 N79-14491 profiles p0044 N79-14441 Large Area Crop Inventory Experiment (LACIE). Detecting USDA Application Test System (ATS) session: WATER VAPOR and monitoring agricultural vegetative water stress over Technology transfer; concepts, user requirements, and their Severe storm environments: A Skylab EREP report large areas using LANDSAT digital data — Great Plains practical application --- Montana. North Dakota, and JE79-10027] pCO44 N79-14438 IE79-10063] pOOlO N79-13470 U.S.S.R. pOO14 N79-14492 Remote sensing of atmospheric water vapor -•- Oklahoma Independent Peer Evaluation of the Large Area Crop USDA Application Test System (ATS) session: The and Texas p0045 N79-14448 Inventory Experiment (LACIE): The LACIE Symposium application test system, an approach for technology transfer WATER WAVES [E79-10009] POOH N79-14430 — Montana. North Dakota, and U.S.S.R. Measurement of ocean wave heights using the Geos 3 An independent evaluation by the plenary peer review p0015 N79-14493 altimeter pO041 A79-11767 team --• United Slates of America, U.S.S.R.. and Canada USDA Application Test System (ATS) session: Data p0011 N79-14431 WATERSHEDS base design for a worldwide multicrop information system Findings of the experiment results peer group — United The use of Landsat-derived land cover data in a flood — U.S.S.R. p0015 N79-14496 States of America, U.S.S.R., and Canada peak correlation study p0033 A79-11755 USDA Application Test System (ATS) session: ATS pOOII N79-14432 experience to date and future plans --- United States of Application of remote sensing to selected problems within Findings of the experiment design peer group America, U.S.S.R.. and Canada PO015 N79-14497 the state of California pOOII N79-14433 Large Area Crop Inventory Experiment (LACIE). Review [E79-10075] p0050 N79-15354 Findings of the data processing systems design peer of LACIE methodology, a project evaluation of technical An integrated study of earth resources in the state of group p0011 N79-14435 acceptability California using remote sensing techniques Findings of the LACIE supporting research peer group [E79-10069] p0015 N79-15348 [E79-10082] p0050 N79-15361 pOOII N79-14437 WAVELENGTH* Proceedings of Plenary Session: The LACIE Large Area Crop Inventory Experiment'(LACIE). Level Separability of agricultural cover types in spectral Symposium 3 baseline: Classification And Mensuration Subsystem channels and wavelength regions IE79-10028] p0011 N79-14449 (CAMS) requirements, volume 2, revision E [NASA-CR-157803] pOOOB N79-11451 The status of existing global crop forecasting --• United (E79-10070I pOOIS N79-15349 WEATHER FORECASTING States of America. U.S.S.R.. Canada, Brazil. Australia, Large Area Crop Inventory Experiment (LACIE). The impact of LACIE on a national meteorological Sweden, and Kenya p0012 N79-14450 Yield-weather regression models for the Canadian prairies capability — Canada and U.S.S.R. p0020 N79-14456 LACIE: An experiment in global crop forecasting — --- Alberta. Saskatchewan, and Manitoba [E79-10071] p0016 N79-15350 WETLANDS United States of America and U.S.S.R, pOO!2 N79-74451 Cornell's remote sensing program • Remote sensing for LACIE applications evaluation system: A design Test and evaluation of principal component cluster images the user pOO48 A79-11753 overview p0012 N79-14452 in LACIE The LACIE supporting research'program: A focused [E79-10077] p0016 N79-15356 Monitoring vegetation changes in a large impacted approach to research and development Dryland pasture and crop conditions as seen by HCMM wetland using quantitative field data and quantitative remote p0012 N79-14453 sensing data p0019 A79-15051 — Oklahoma The impact of LACIE on a national meteorological (E79-10079] p0016 N79-15358 Bolivian program of satellite technology of earth capability — Canada and U.S.S.R. p0020 N79-14456 The Large Area Crop Inventory Experiment (LACIE). An resources, ERTS The outlook for satellite remote sensing for crop [E79-10036) p0049 N79-13443 application, of remote sensing by multispectral scanners inventory p0012 N79-14457 [E79-10091] p0016 N79-15369 A determination of the optimum time of year for remotely Experiment design session: Sampling and aggregation WIND EFFECTS classifying marsh vegetation from LANDS AT multispectral in LACIE p0012 N79-14460 Application of LANDSAT satellite imagery and scanner data --- Louisiana Experiment design session: Growth stage estimation oceanographic data for verification of an upwelling [E79-10084] p0036 N79-15362 — South Dakota and Kansas p0012 N79-14461 mathematical model --- Atlantic Coast of Brazil WHEAT Experiment design session: Wheat yield model [E79-10026] p003l N79-13437 A comprehensive data processing plan for crop calendar development — Oklahoma. North Dakota, and Kansas WIND VELOCITY MSS signature development from satellite imagery: Crop p0012 N79-14462 USDA Application Test System (ATS) session: ATS identification using vegetation phenology Experiment design session: Accuracy assessment, the experience to date and future plans --- United States of IE79-10001] pO007 N79-13424 statistical approach to performance evaluation America. U.S.S.R.. and Canada p0015 N79-14497 Analysis of scanner data for crop inventories --- Kansas pO013 N79-14464 WISCONSIN and North Dakota System implementation and operations session: The Landsat analysis of lake quality for statewide lake [E79-10O37] pOOOS N79-13444 LACIE Application Evaluation System (AES). a design classification p0033 A79-11756 Large Area Crop Inventory Experiment (LACIE). LACIE overview p0013 N79-14465 Multidate data extraction procedures for a statewide phase 3 analyst field trip plan — North Dakota, South Landsat lake quality monitoring program System implementation and operations session: Dakota, and Kansas 0033 A79-11757 Classification and mensuration, an approach to LANDSAT P [E79-10041] pOOOS N79-13448 Monitoring vegetation changes in a large impacted data analysis for crop identification — U.S.S.R., Kansas. Large Area Crop Inventory Experiment (LACIE). LACIE wetland using quantitative field data and quantitative remote North Dakota, and Montana p0013 N79-14467 phase. 3 interim accuracy assessment plan sensing data p0019 A 79-15051 System implementation and operations session: System [E79-10043] P0009 N79-13450 Symposium on Remote Sensing for Vegetation Damage Large Area Crop Inventory Experiment (LACIE). LACIE implementation and approaches used for generation of crop Assessment. Seattle. Wash.. February 14-16. 1978. phase 3 accuracy assessment plan production reports p0013 N79-14469 Proceedings p0003 A79-17876 [E79-10O44] P0009 N79-13451 System implementation and operations session: Detection and mapping of spruce budworm infestation Large Area Crop Inventory Experiment (LACIE). LACIE Accuracy assessment, system implementation and in Northern Wisconsin using digital analysis of Landsat integrated drought plan --- Great Plains operation --- Oklahoma, Montana, Minnesota, and data p0004 A79-17886 (E79-1O045] pOOO9 N79-13452 U.S.S.R. p0013 N79-14470 WOOD Large Area Crop Inventory Experiment (LACIE). Phase Briefing Materials for Technical Presentations. Volume FLAME: Forestry Lands Allocated for Managing energy. t accuracy assessment plan B: The LACIE Symposium Feasibility study [E79-10046] P0009 N79-13453 [E79-10031] p0013 N79-14480 [AD-A059993] p0015 N79-14507 A-23 WYOMING SUBJECT INDEX

WYOMING USDA Application Test System (ATS) session: ATS System implementation and operations session: experience to date and future plans — United States of Implementation and operation of yield forecasting and crop America. U.S.S.R.. and Canada p0015 N79-14497 growth stage estimation —- Montana. North Dakota, South Large Area Crop Inventory Experiment (LACIE). Review Dakota. Nebraska, and Wyoming pO013 N79-14468 of LACIE methodology, a project evaluation of technical Geologic application of thermal-inertia mapping from acceptability satellite — Wyoming and Arizona [E79-1O069] p0015 N79-15348 [E79-10081] pO027 N79-15360 Large Area Crop Inventory Experiment (LACIE). Remote monitoring of coal strip mine rehabilitation Yield-weather regression models for the Canadian prairies [PB-286647/3] pO027 N79-15379 — Alberta, Saskatchewan, and Manitoba [E79-10071] p0016 N79-15350 The Urge Area Crop Inventory Experiment (LACIE). An application of remote sensing by multispectral scanners [E79-10091] p0016 N79-15369 YIELD YUGOSLAVIA Large Area Crop Inventory Experiment {LACIE). LACIE Results of application of data from space to geological transition year operations plan survey in Yugoslavia [E79-1OO42] p0009 N79-13449 [IAF PAPER 78-112] pO025 A79-11250 Large Area Crop Inventory Experiment (LACIE). LACIE Ruplural fabric of Yugoslavia on Landsat scanograms phase 2 accuracy assessment plan [IAF PAPER 78-121] p002 1 A79-11258 [E79-10048] pOO09 N79-13455 Large Area Crop Inventory Experiment (LACIE). LACIE quick look accuracy assessment report, review of the December 17, 1976 CAR — Minnesota, Montana. Kansas. South Dakota. Texas. Oklahoma, and Nebraska [E79-1O052] p0009 N79-13459 LACIE transition project. FT 1978-1979: Reanalysis of CCEA 1 US Great Plains wheat yield models — Texas. Oklahoma. Colorado. Kansas. North Dakota, South Dakota. Minnesota. Nebraska, Montana, Badlands, and Red River Valley [E79-10062] pOOlO N79-13469 Findings of the experiment design peer group pOOII N79-14433 Findings of the system implementation and operations peer group pO01 1 N79-14434 Findings of the LACIE supporting research peer group pOOII N79-14437 Proceedings of Plenary Session: The LACIE Symposium [E79-10028] pO011 N79-14449 LACIE: An experiment in global crop forecasting --- United States of America and U.S.S.R. pO012 N79-14451 LACIE applications evaluation system: A design overview p0012 N79-14452 The impact of LACIE on a national meteorological capability — Canada and U.S.S.R. pO020 N79-14456 The outlook for satellite remote sensing for crop inventory p0012 N79-14457 Briefing Materials for Technical Presentations, Volume A: The LACIE Symposium [E79-1O030] p0012 N79-14458 Experiment design session: Experiment design overview pO012 N79-14459 Experiment design session: Wheat yield model development --- Oklahoma, North Dakota, and Kansas p0012 N79-14462 Experiment design session: Accuracy assessment, the statistical approach to performance evaluation pOO13 N79-14464 System implementation and operations session: The LACIE Application Evaluation System (AES). a design overview p0013 N79-14465 System implementation and operations session: Implementation and operation of yield forecasting and crop growth stage estimation — Montana. North Dakota. South Dakota, Nebraska, and Wyoming pO013 N79-14468 System implementation and operations session: System implementation and approaches used for generation of crop production reports pOO13 N79-14469 System implementation and operations session: Accuracy assessment, system implementation and operation •-- Oklahoma, Montana, Minnesota, and U.S.S.R. p0013 N79-14470 Data processing systems design session: Data processing systems overview pO013 N79-14472 Experiment results session: Accuracy and performance of LACIE estimates -•- Minnesota, Oklahoma, North Dakota. Great Plains. Canada, and U.S.S.R. pOO14 N79-14482 Experiment results session: Accuracy and performance of LACIE yield estimates — Great Plains. North Dakota, Montana, Oklahoma. Texas. Kansas. Colorado, Nebraska. South Dakota. Minnesota. Canada. Australia, Brazil, India, and U.S.S.R. pO014 N79-14483 Supporting Research and Technology (SRT) session: Supporting research, a focused approach to research development pOO14 N79-14486 Supporting Research and Technology (SRT) session: Status of yield estimation technology, a review of second-generation model development — North Dakota. Montana, Minnesota. Kansas, South Dakota. Nebraska, Colorado, Texas, Oklahoma, and U.S.S.R. pO014 N 7 9-14489 Supporting Research and Technology (SRT) session: Prediction of wheat phonological development, a state-of-the-art review p0014 N79-14490 USDA Application Test System (ATS) session: Technology transfer; concepts, user requirements, and their practical application --- Montana. North Dakota, and U.S.S.R. pO014 N79-14492 USDA Application Test System (ATS) session: The application test system, an approach for technology transfer — Montana, North Dakota, and U.S.S.R. pOOIS N79-14493 A 24 PERSONAL AUTHOR INDEX

Earth Resources/ A Continuing Bibliography (Issue 21) APRIL 1979

Typical Personal Author Index Listing

PERSONAL AUTHOR J

HOLMES. Q A

| Optimum thermal infrared bands for mapping general rock type and temperature from space (NASA-CR 151842] pO026 N79 11449

ARMSTRONG. A. C. BIRD. T. A conspectus of computer aided and air-photo Recognition of patterns of damage in tall forests in interpretation techniques for the study of Landsat imagery REPORT PAGE ACCESSION Australia pO004 A79-17889 P0038A79-18868 Detection of a crown dieback in Australian eucalypt NUMBER NUMBER NUMBER ARNO. R. D. forests on large-scale aerial photographs An analysis of aircraft requirements to meet United States P0004 A79-17891 Department of Agriculture remote sensing goals BLACKWELL. R. J. Listings in this index are arranged alphabetically pOOOl A79-11388 Trophic classification of Colorado lakes utilizing contact ASHLEY. M. D. data. Landsat and aircraft-acquired multispectral scanner Spray block mapping control for spruce budworm using by personal author The title of the document data p0034 A79-15132 Landsat and high altitude remote sensing provides the user with a brief description of the BLAO. B. p0002 A79-14152 subject matter. The report number helps to in- Findings of the experiment results peer group dicate the type of document listed (e.g.. NASA 00011 N79-14432 B BLANCHARO, B. J. report, translation. NASA contractor report). Dryland pasture and crop conditions as seen by HCMM [E79-1O079] pO016 N79-15358 The page and accession numbers are located BACKMAN. B. BLANCHARD. W. A. Washington State forest insect survey - Combining aerial beneath and to trie right of the title, e.g.. p0026 Ecosystem alteration detection by aerial color infrared sketch map and remote sensing techniques photography and satellite multispectral scanner N79-1 1449 . Under any one author's name the pOOOS A79-17901 p0018 A79-12094 accession numbers are arranged in sequence BAEHR. H. P. with the AIAA accession numbers appearing Digital image processing experience at Hannover Institute BLUME. H.-J. C. for Photogrammetry /IPI/ p0041 A79-14155 Advanced systems requirements for ocean observations first. BAHN. G. S. via microwave radiometers Quantitative mapping of paniculate iron in an ocean dump [AIAA PAPER 78-1737] p0030 A79-13850 using remotely sensed data p0029 A79-11766 BOEGU. U. BAIER. W. Landsat geologic reconnaissance of the Washington. Q.C. Food information systems - Growing conditions area westward to the Appalachian Plateau p0002 A79-12504 P0025 A79-11763 AAROOOM. L BAKER. J. E. BOLAND, D. H. P. On potential uses of space techniques for applied The use of Landsat-derived land cover data in a flood Trophic classification of Colorado lakes utilizing contact geodesy P0022 N79-I2485 peak correlation study p0033 A79-11755 data. Landsat and aircraft-acquired multispectral scanner ABOTTEEN. R. A. BALLARD. R. J. data pO034 A79-15132 Generation of uniform chromaticity scale imagery from A comparison of photointerpretive and digital production BOLSHAKOV. A. LANDSAT data methods for four key remote sensing-based information Ocean observation from space p0031 N79-13995 [E79-10033] p0039 N79-13440 products p0037 A79-11385 BONNER. W. J. Analysis of principal component transformed LANDSAT BANNERT. D. Information requirements for natural resource data Future applications of a satellite observation system for inventories pO048 A79-16178 [E79-100761 p0040 N79-15355 the long-term monitoring of geodynamic processes BORDEN. F. Y. Test and evaluation of principal component cluster images IDGLR PAPER 78-147] pOO18 A79-14093 A reduction in ag./residential signature conflict using in LACIE BARNETT. T. L principal components analysis of Landsat temporal data [E79-10077) p0016 N79-15356 Large Area Crop Inventory Experiment (LACIE). Test pO017 A79-11669 ACKERMANN. F. and evaluation plan for KSU and CCEA phase 3 yield BOWDEN. L W. Experimental investigation Into the accuracy of contouring models Application of remote sensing to selected problems within from DTM p0021 A79-18196 [E79-10049] p0009 N79-13456 the state of California A6AR. C. D. BARNEY. T. W. [E79-10075] pO050N79-15354 A study of the potential of Landsat MSS digital data Mapping land covers from satellite images • A basic, An integrated study of earth resources in the state of for woodland census in Britain p0003 A79-17274 low cost approach p0017 A79-11664 California using remote sensing techniques ALBEROTANZA. L BARR. D. J. [E79-1O082] pO050 N79-15361 Mapping land covers from satellite images - A basic, Identification of descriptive parameters in MSS system BOWEN. R. L by multivariate analysis and spline fitting low cost approach p0017 A79-11664 Using reflectance and photography to detect ozone p0038 A79-16775 BARTON. I. J. damage to cantaloupe plants pOO03 A79-17880 ALEXANDER. L D. An airborne X-band microwave radiometer BRADSHAW, F. J. Post LANDSAT D advanced concept evaluation [ISBN-0-643-00314-2] pOO44 N79-12410 Full coverage at large scale p0004 A79-17890 p0049 N79-10096 BASU. J. P. BRIMBLECOMM. P. ALGAZI. R. Large Area Crop Inventory Experiment (LACIE). A conspectus of computer aided and air-photo An integrated study of earth resources in the state of Second-generation sampling strategy evaluation report interpretation techniques for the study of Landsat imagery California using remote sensing techniques [E79-10056) pOOlO N79-13463 p0038 A79-18868 [E79-10082] pOOSO N79-15361 BEAL R. C. BROCKMANN. C. E. ALQER. L A. Useful spaceborne synthetic aperture radars Bolivian program of satellite technology of earth Previsual detection of stressed loblolly pine/Pinustaeda [IAF PAPER 78-148] p0029 A79-11271 resources. ERTS L/ pOOOS A79-17879 BECK. ». M. (E79-10036) p0049 N79-13443 Aircraft instrumentation system for the remote sensing BROWN. C. A.. JR. DTM application in topographic mapping of carbon monoxide p0042 A79-15090 Laboratory studies of in vivo fluorescence of p0021 A79-18194 BENNETT. D. D. phytoplankton p0030 A79-15119 ALMEIDA. E. G. Multiphase airphoto assessment for annual losses caused BROWN. K. W. Application of LANDSAT satellite imagery and by the mountain pine beetle in lodgepole pine Development of a pollutant monitoring system for oceanographic data for verification of an upwelling pOOOS A79-17895 biosphere reserves and results of the Great Smoky Mountains pilot study p0019 A79-15082 mathematical model BENSON. A. 8. [E79-10026] p0031 N79-13437 Application of remote sensing to selected problems within BROWN, L System implementation and operations session: ALPERS. W. R. the state of California Measurement of ocean wave heights using the Geos 3 IE79-10075] pOOSO N79-15354 Acquisition and preprocessing of LANDSAT data altimeter 0041 A79-11767 p0013 N79-14466 P BEST. R. G. ANDERSON. J. E. BRUIKHANOV. V. N. Remote sensing applications to resource problems in Remote monitoring of coal strip mine rehabilitation Application of space images to geological investigations South Dakota [PB-286647/3] 0027 N79-15379 in the USSR to date and in future P [E79-10089] p0016 N79-15367 ANDERSON. W. [IAF PAPER 78-111] pO025 A79-1 1249 Findings of the LACIE supporting research peer group BETHEL. J. BRYAN. M. L p0011 N79-14437 The automated generation and processing of digital Multispectral remote observations of hydrologic features terrain data for engineering planning pO019 A79-16597 ANGEUCI. G. L on the North Slope of Alaska p0033 A79-11672 Techniques for land use change detection using Landsat BIFFELL. R. BRYANT. N. A. imagery p0017 A79-11668 System implementation and operations session: Techniques for land use change detection using Landsat ANUTA. P. Classification and mensuration, an approach to LANDSAT imagery pO017 A79-11668 Analysis of the effects of interpolation and enhancement data analysis for crop identification p0013 N79-14467 BURGER. H. of LANOSAT-1 Data on classification and area estimation BILUNGSLEY. F. C. Classification of rocks on the basis of signatures and accuracy Remote sensing program in earth resources texture-measures from Landsat imagery IE79-10038] pOOOS N79-13445 pO048 A79-16187 p0025 A79-14157 B-1 BUTERA, M. K. PERSONAL AUTHOR INDEX

BUTERA. M. K. CRAWLEY. B. C. Comparison of feature selection techniques for earth A determination of the optimum time of year for remotely The automated generation and processing of digital resources data classifying marsh vegetation from LANOSAT multispectral terrain data for engineering planning p0019 A79-16597 IE79-10025] pOOOB N79-13436 scanner data CREPANI. E. Application of LANDSAT satellite imagery and [E79-10084] p0036 N79-15362 Preliminary geological precambrian map of Piaui oceanographic data for verification of an upweliing [INPE 1146 PE/099] P0026 N79-11450 mathematical model Project Gondwana: Jugaribe-SB-24 |E79-10026] p0031 N79-13437 (E79-10013] p0027 N79-12528 The application of remote sensors in the interpretation of LANDSAT data for regional geological mapping in the CRNKOVICH. G. Q. central portion of Minas Gerais CALDERON ACOBTA, A. A comparison of photointerprelrve and digital production [E79-10039] p0027 N79-13446 A review of the uses of Landsat imagery in Mexico methods for four key remote sensing-based information Project SUDAM: Use of LANDSAT data to study the p0037 A79-11663 products p0037 A79-11385 CAPITANT DEVIL1£BONNE. P. J. M. impact of agricultural projects in the Amazon CROCKETT. A. B. [E79-1O060] pOOlO N79-13467 Design and implementation of distortion-free Development of a pollutant monitoring system for compression techniques for LANDSAT data and television INPE remote sensing program biosphere reserves and results of the Great Smoky [E79-10061] p0049 N79-13468 images pO039 N79-13421 Mountains pilot study p0019 A79-15082 CARLSON. T. N. Utilization of orbital data from LANDSAT 1 in the CSATI. E. classification of urban land usage of the Sao Jose Applications of HCMM satellite data to the study of urban Eulusmap - An international land resources map utilizing heating patterns grassland satellite imagery [E79-10O4OJ p0020 N79-13447 [E79-10085] p0020 N79-15363 [IAF PAPER 78-124) pO021 A79-1 1259 CARLVLE. •. M. LANDSAT and environmental impact in the Paraiba Valley A comprehensive data processing plan for crop calendar Eulusmap: An international land resources map utilizing of Sao Paulo MSS signature development from satellite imagery: Crop satellite imagery (E79-10086] P0020 N79-15364 identification using vegetation phenology [NASA-TP-1371] p0022 N79-13475 Application of LANDSAT in the evaluation of argicultural [E79-10001] pOO07 N79-13424 and forest resources CARNES. R. C. {E79-10O88] p0016 N79-15366 Detection and mapping package. Analyst's guide: DEMATTOS. J. T. interpreting impounded surface water Utilization of LANDSAT images for geological [E79-10067] pO036 N79-15347 investigation in the central portion of Minas Gerais OACUNHA. R. P. GARY. O. W. [E79-10020) p0027 N79-13433 Project GonoVana: Jugaribe-SB-24 Findings of the USDA applications test system peer The application of remote sensors in the interpretation IE79-10013] P0027 N79-12528 group pOOII N79-14436 of LANDSAT data for regional geological mapping in the CATO, J. C. Utilization of LANDSAT images for geological central portion of Minas Gerais Commercial fishing port development in north Florida investigation in the central portion of Mines Gerais [E79-10039] p0027 N79-13446 [E79-10078] p0031 N79-15357 [E79-10020] p0027 N79-13433 Application of LANDSAT images in the Minas Gerais CAVALCANTI. L. A. The application of remote sensors in the interpretation tectonic division Radiometric correction of LANDSAT data of LANDSAT data for regional geological mapping in the INASA-TM-75584] PO027 N79-14501 central portion of Mines Gerais (E79-10017] P0044 N79-12531 DEMORAISNOVO. E. M. L CHANDLER. R. J. |E79-10039] P0027 N79-13446 Full coverage at large scale pOOO4 A79-17890 Application of LANDSAT images in the Minas Gerais The use of LANDSAT data for the establishment, control CHATURVEDI. A. C. tectonic division and supervision of pasture projects in the southeast Amazon Vegetation damage surveying in India INASA-TM 75584] p0027 N79-14501 region pOOOS A79-179OO [E79-10016] p0007 N79-12530 DAILY. M. Deforestation planning for cattle grazing in Amazon Basin CHECCHI. M. Discrimination of geologic units in Death Valley using using LANDSAT data Application of a digital image processing system to land dual frequency and polarization imaging radar data use mapping from Landsat data p002S A79-11857 (E79-100181 pOOOS N79-1343I [IAF PAPER 78-130) p0017 A79-11263 Project SUDAM: Use of LANDSAT data to study the DALSTED. K. J. impact of agricultural projects in the Amazon CHEN. O. T. Remote sensing applications to resource problems in Gulf stream ground truth project. Results of NRL airborne [E79-1O060] p0010 N79-13467 South Dakota DENNERT-MOELLER. E. sensors IE79-10089] p0016 N79-15367 [AD-A057420J pOO43 N79-11639 Multispectral classification on tidal lands DAVID. F. C. pO030 A79-14158 CHEBNUTWOOO. C. M. Technology transfer: Concepts, user requirements, and Large Area Crop Inventory Experiment (LACIE). Detection DERDEYN. 8. a practical application p0049 N79-14455 of episodic phenomena on LANDSAT imagery Landsat missions [E79-10OS5] p0010 N79-13462 USDA Application Test System (ATS) session: The [AAS 78-019] pOO49 A79-17078 CHOI. J. H. application test system, an approach for technology DEVRIE*. M. E. Land use survey and mapping and water resources transfer p0015 N79-14493 Remote sensing applications to resource problems in investigation in Korea DAVIt. R. Q. South Dakota [E79-10003] pOO35 N79-1342S Detection and mapping package. Analyst's guide: [E79-10089] pO016 N79-15367 CHROMV. J. interpreting impounded surface water DIETERLE. O Findings of the experiment design peer group [E79-10O67) D0036 N79-15347 Synthetic aperture radar systems for remote sensing from pOOII N79-14433 DE JAOER. C. space CMU. N. A review of space research. 1976-1977 [IAF PAPER 78-149] pOO41 A79-11272 Analysis of the effects of interpolation and enhancement P0048 A79-13383 DIETRICH. D. L of LANDSAT-1 Data on classification and area estimation DEGLORIA. *. Landsat forest inventory of the Philippines accuracy Findings of the system implementation and operations p0002 A79-11665 [E79-10O38] pOOOS N79-13445 peer group pOOl 1 N79-14434 DILUNQER. A. E. CICONE. R. C. DEGNER. P. D. Inversion of S191 data into temperature and water vapor Analysis of scanner data for crop inventories Commercial fishing port development in north Florida profiles pOO44 N79-14441 [E79-10O37] pOOOS N79-13444 [E79-10078] p0031 N79-15357 DIMITRUEVIC. M. D. CLAAMEN. J. r. DEJEBUBPAKADA. M. Ruptural fabric of Yugoslavia on Landsat scanograms A system concept for wide swath constant incident angle Project Gondwana: Jugaribe-SB-24 [IAF PAPER 78-121] p0021 A79-11258 coverage pOO42 A79-15744 [E79-10013] pO027 N79-12528 DJOJODIHARDJO. H. CLERKE. W. H. Remote sensing applied to surveying the thermomineral The use of earth surface observation data for development The application of digital terrain model and space water region of Caldas Novas. Goias planning of Greater Jakarta Metropolitan Area resection techniques to digitizing the position of southern (E79-10014) pOO27 N79-12529 [IAF PAPER 78-119] pOOl 7 A79-11257 pine beetle infestations delineated on large scale aerial The use of LANDSAT data for the establishment, control DOBBIN. J. A. photographs pOOO4 A79-17884 and supervision of pasture projects in the southeast Amazon Interpretation of satellite and aircraft imagery for CLOUQH. O. J. region planning/design and management of marine parks and Remote sensing oceanographic and terrestrial information [E79-1O016] p0007 N79-12530 reserves p0017 A79-11754 systems p0029 A79-11379 Radiometric correction of LANDSAT data DONOVAN. T. J. COBERLY. W. (E79-1O017] p0044 N79-12531 Marine monitoring of natural oil slicks and man made Findings of the experiment results peer group Determination and error analysis of emittance and wastes utilizing an airborne imaging Fraunhofer line pOOII N79-14432 spectral eminence measurements by remote sensing discriminator pO042 A79-151O4 COLWELL. J. E. [E79-10021] pO007 N79-12532 DOBANJOB. C. E. Analysis of scanner data tot crop inventories Statistical separability and classification of land use Remote sensing applied to surveying the thermomineral IE79-10037] pOOOB N79-13444 classes using image-100 water region of Caldas Novas. Goias COLWELL R. N. [E79-10022] p0039 N79-12533 [E79-10014] pO027 N79-12529 Application of remote sensing to selected problems within Project Rondonia DOSBANTOB. A. P. the state of California [E79-10012] p0039 N79-13429 The use of LANDSAT data for the establishment, control [E79-10O75J pOOSO N79-I5354 Population and growth estimates of urban areas in the and supervision of pasture projects in the southeast Amazon state of Sao Paulo utilizing LANDSAT images An integrated study of earth resources in the state of region [E79-10015] pOO20 N79-13430 California using remote sensing techniques [E79-10016] pO007 N79-12530 Deforestation planning for cattle grazing in Amazon Basin Deforestation planning for cattle grazing in Amazon Basin [E79-10082] pOOSO N79-15361 using LANDSAT data using LANDSAT data COTTRELL. O. A. [E79-10018] pOOOS N79-13431 LANDSAT and environmental impact in the Paraiba Valley Evaluation of reforested areas using LANDSAT imagery (E79-IOOI8) pOOOS N79-13431 of Sao Paulo IE79-10019] pOOOB N79-13432 Project SUDAM: Use of LANDSAT data to study the 1E79-10086] pO020 N79-15364 Utilization of LANDSAT images for geological impact of agricultural projects in the Amazon CRAIB. K. B. investigation in the central portion of Minas Gerais [E79-10060] pOOlO N79-13467 Conference on the Economics of Remote Sensing [E79-10020] p0027 N79-13433 DOYLE, f. J. Information Systems. 1st. San Jose State University. San Overview of Brazilian remote sensing activities Digital terrain models - An overview Jose. Calif.. January 19-21. 1977. Proceedings [E79-1O023] p0049 N79-13434 00021 A79-18193 POO47 A79-11376 Evaluation of spectral channels and wavelength regions DRAQQ. J. L. The cost-effectiveness of operational remote sensing for separability of agricultural cover types Findings of the system implementation and operations technology - A comparative analysis pO047 A79-11386 |E79-10024] pOOOB N79-13435 peer group pOOl 1 N79-14434 B 2 PERSONAL AUTHOR INDEX HATCH. R. E.

LACIE applications evaluation system: A design EVANS. a. GODBY. I. A. overview pOOI2 N79-14452 USDA Application Test System (ATS) session: Functional The contribution of space observations to global food DRAGICH. S. M. definition and design of a USDA system information systems; Proceedings of the W. Nordberg Large Area Crop Inventory Experiment ILACIE). PO015 N79-14494 Memorial Symposium. Tel Aviv. Israel. June 7-18. 1977 Second-generation sampling strategy evaluation report pO048 A79-12502 [E79-10056J pOOlO N79-13463 GOLDEN. H. DRIGGERS. G. Sensor needs for agricultural applications USDA Application Test System (ATS) session: Data [AIAA PAPER 78-1745] pOO02 A79-13852 base design for a worldwide multicrop information system FAIRWEATHER. S. E. GOODENOUOH. D. pOOIS N79-14496 The use of CIR aerial photography for Dutch elm disease An independent evaluation by the plenary peer review DUBOI8. S. M. detection pOO04 A79-17892 team pOOl 1 N79-14431 The origin of surface lineaments in Nemaha County. FARMER. F. H. Findings of the data processing systems design peer Kansas Laboratory studies of in vivo fluorescence of group pOOII N79-14435 [PB-287302/4) p0023 N79-15394 phytoplankton pO030 A79-15119 GOSSARD. T. W. DUBUI8SON. B. L Y. FARR. T. Applications of DTM in the Forest Service Interrelation between photogrammetry and remote Discrimination of geologic units in Death Valley using p0006 A79-18197 sensing cadastral localizing of cultivation inventory, obtained dual frequency and polarization imaging radar data p0025 A79-11857 GRANDFIELD. A. L. by remote sensing p0003 A79-14159 The LACIE supporting research program: A focused DUPREY. B. FEAD. E. M. Use of Landsat imagery for Lake Nasser resource approach to research and development Data processing systems design session: Man-machine management pO034 A79-15133 p0012 N79-14453 interface in LACIE ERIPS p0039 N79-14475 FEIVESON. A. GREGG. T. DURICA. D. Supporting Research and Technology (SRT) session: New Detection of Armillaria root rot damage with shadowless Technology transfer: Concepts, user requirements, and developments in sampling and aggregation for remotely color infrared photography pOOOS A79-17899 a practical application p0049 N79-14455 sensed surveys p0014 N79-14491 Washington State forest insect survey - Combining aerial FEYERHERM. A. M. sketch map and remote sensing techniques Findings of the experiment results peer group pCOOS A79-17901 pOOH N79-14432 GREGOR. P. FILHO. M. V. Data processing systems design session: Some cost Application of LANDSAT in the evaluation of argicultural performance characteristics of several data system EAGUSON. K. W. configurations for processing remotely sensed data Biological water quality monitoring from remote stations and forest resources (E79-10088) P0016 N79-15366 p0040 N79-14478 and NASA GOES satellite p0034 A79-15131 GREW. G. W. EASTWOOD. L f . JR. FILHO. P. H. Evaluation of reforested areas using LANDSAT imagery Signature extraction of ocean pollutants by eigenvector A comparison of photointerpretive and digital production transformation of remote spectra p0030 A79-15103 IE79-10019] pOOOS N79-13432 methods for four key remote sensing-based information GROTEN. E. products p0037 A79-11385 FINKELSHTEIN. M. I. Geodetic high precision measurements in active tectonic Subsurface radar p0041 A79-1060I ECKERMAN. J. areas p0022 N79-12503 A system concept for wide swath constant incident angle FI8CHLER. M. A. GUERRA. a. M. a. coverage p0042 A79-15744 A scene-analysis approach to remote sensing Project Rondonia [E79-10029] p0022 N79-13438 EGAN. P. J. [E79-10012] p0039 N79-13429 Previsual detection of stressed loblolly pine /Pinus taeda FISHER. L T. GUSEMAN. L L./ P0003A79-17879 Landsat analysis of lake quality for statewide lake Findings of the experiment design peer group EIDENSHINK. J. C. classification p0033 A79-11756 pOOII N79-14433 Remote sensing applications to resource problems in Multidate data extraction procedures for a statewide South Dakota Landsat lake quality monitoring program [E79-10089) p0016 N79-15367 p0033 A79-11757 H EISGRUBER. L FLATOW. F. S. An independent evaluation by the plenary peer review Post LANDSAT D advanced concept evaluation HABERAECKER. P. team p0011 N79-14431 p0049 N79-10096 Evaluation of Landsat image data for land-use mapping Findings of the experiment results peer group FORCINA. G. [IAF PAPER 78-118] p0017 A79-1 1256 pOOlt N79-14432 A developmental program of satellite data collection HAUKAS. G. EL-BAZ. F. p0038 A79-18951 Remote sensing and ocean modelling - An application Earth observations and photography experiment: FORESTI. C. to the Adriatic Sea p0030 A79-16776 Summary of significant results Population and growth estimates of urban areas in the HALL D. K. [NASA-CR-157780] p0043 N79-10498 state of Sao Paulo utilizing LANDSAT images Multispectral remote observations of hydrologic features ELACHI. C. [E79-10O15] p0020 N79-13430 on the North Slope of Alaska p0033 A79-1 1672 Discrimination of geologic units in Death Valley using Mineral precipitation in north slope aufeis dual frequency and polarization imaging radar data FOUTS. L [NASA-TM-79642] p0026 N79-10502 USDA Application Test System (ATS) session: Resource p0025 A79-11857 modelling, a reality for program cost analysis HALL. F. G. ELIFRITS. C. D. Findings of the experiment results peer group pOOIS N79-14498 Mapping land covers from satellite images - A basic, p0011 N79-14432 low cost approach p0017 A79-11664 FOX. L. Ill The status of existing global crop forecasting ENSUN. W. R. Previsual detection - The elusive dream P0012 N79-14450 Michigan resource inventories - Characteristics and costs pOOOS A79-17878 LACIE: An experiment in global crop forecasting of selected projects using high altitude color infrared The effect of canopy composition on the measured and p0012 N79-14451 imagery p0037 A79-11384 calculated reflectance of conifer forests in Michigan HALLUM. C. • ERB. R. B. POO03 A79-17881 Experiment design session: Experiment design The outlook for satellite remote sensing for crop FRANK. H. J. overview p0012 N79-14459 inventory p0012 N79-14457 Outlook for world oil into the 21 st century with emphasis Experiment design session: Sampling and aggregation The Large Area Crop Inventory Experiment {LACIE). An on the period to 1990 in LACIE p0012 N79-14460 application of remote sensing by multispectral scanners [EPRI-EA-745] p0049 N79-11454 HAMMOND. D. L [E79-10091] P0016 N79-15369 FRAYSSE. M. Gulf stream ground truth project. Results of NRL airborne ERB. T. L An example of the economic interest in remote sensing sensors Cornell's remote sensing program - Remote sensing for - Forecasting of maize crops [AD-A057420] p0043 N79-11639 the user p0048 A79-11753 (IAF PAPER 78-116] pOO01 A79-11254 HANUSCHAK. G. ER1CKSON. J. FRENCH. D. W. Findings of the experiment results peer group Supporting Research and Technology (SRT) session: The use of CIR aerial photography for Dutch elm disease pOOII N79-14432 Supporting research, a focused approach to research detection pOO04 A79-17892 HARAUCK. R. M. development p0014 N79-14486 A comprehensive data processing plan for crop calendar FRIEDMAN, E. J. MSS signature development from satellite imagery: Crop ERICKSON. J. D. Evaluation of instruments and measurement strategies Findings of the LACIE supporting research peer group identification using vegetation phenology for airborne remote sensing of regional air pollution P0011 N79-14437 (E79-10001] p0007 N79-13424 measurement requirements p0042 A79-15083 The LACIE supporting research program: A focused HARDY. J. R. approach to research and development FRIEDMAN, a. Z. A study of the potential of Landsat MSS digital data p0012 N79-14453 Techniques for land use change detection using Landsat for woodland census in Britain pO003 A79-17274 ESCOBAR. D. t. imagery pO017 A79-11668 HARKNESS. H. Using reflectance and photography to detect ozone Findings of the USDA applications test system peer damage to cantaloupe plants p0003 A79-17880 group pOOII N79-14436 ESTES. J. HARLAN. J. C. Findings of the LACIE supporting research peer group Dryland pasture and crop conditions as seen by HCMM pOOII N79-14437 [E79-10079] pOO16 N79-15358 GAUCHER. D. ESTES. J. E. Applications of photometric process in monitoring HARRIS. J. W. f. Multidate/multispectral crop identification - Digital Landsat verification of aerial sketch-mapping vegetation damage due to external stresses techniques applied to high altitude photography and Landsat pOOOS A79-17898 P0004A79-17883 imagery p0002 A79-11660 HARTLEY. H. O. Application of remote sensing to selected problems within GAUSMAN, H. W. An independent evaluation by the plenary peer review the state of California Using reflectance and photography to detect ozone team pOOl 1 N79-14431 (E79-1O075J pOOSO N79-15354 damage to cantaloupe plants p0003 A79-17880 Findings of the experiment design peer group An integrated study of earth resources in the state of Plant cover, soil temperature, freeze, water stress, and pOOII N79-14433 California using remote sensing techniques evapotranspiration conditions HATCH. R. E. |E79-10082] p0050 N79-15361 [E79-10080] p0016 N79-15359 Technology transfer: Concepts, user requirements, and EUSTAOUIODOSANJOS. C. GENOA. H. a practical application pOO49 N79-14455 Remote sensing applied to prospecting of thermomineral Estimation of soil moisture and components by measuring System implementation and operations session: System water in the county of Caldas Novas-Goias the degree of spectral polarization with a remote sensing implementation and approaches used for generation of crop [NASA-TM-76583] p0026 N79-10501 simulator p0041 A79-11748 production reports p0013 N79-14469 B 3 MAUSER, G. f.. PERSONAL AUTHOR INDEX

HAUSER. G. t. System implementation and operations session: The JACKSON. R. D. The use of Landsal-derived land cover data in a flood LACIE Application Evaluation System (AES). a design HCMM Heat Capacity Mapping Mission peak correlation study p0033 A79-11755 overview p0013 N79-14465 [E79-10007] pOOOS N79-13428 HAVENS. K. A. HLAVKA. C. A. JARMAN. J. W. Secondary error analysis: The evaluation of analyst dot A comprehensive data processing plan for crop calendar The role of 'Smart' sensors in earth resources remote labeling MSS signature development from satellite imagery: Crop sensing programs [E79-100111 pOOO7 N79-12527 identification using vegetation phenology [AIAA PAPER 78-1717] p0041 A79-13834 HAY. C. [E79-10001] p0007 N79-13424 JARRETT. O.. JR. Findings of the LACIE supporting research peer group HOGAN. H. E. Laboratory studies, of in vivo fluorescence of pOOtl N79-14437 Detection and mapping of spruce budworm infestation phyloplankton pO030 A79-1S119 Supporting Research and Technology (SRT) session: in Northern Wisconsin using digital analysis of Landsat JENSEN. J. R. Manual identification of crop types p0014 N79-14488 data p0004A79-17886 Multidate/multispectral crop identification - Digital MAY. O. H. techniques applied to high altitude photography and Landsat Data processing systems in support of LACIE and future HOLLMAN. R. E.. Ill imagery p0002 A79-1 1660 The ecology of four coastal lakes in North Carolina: agricultural research programs pO012 N79-14454 JENSEN. R. Trophic states measured from space imagery Data processing systems design session: Data processing P0034 N79-12623 Findings of the LACIE supporting research peer group systems overview p0013 N79-14472 pOOII N79-14437 HAYDN. R. HOLL8TEIN. M. JOCHIM. E. F. Digital processing of Landsat data for geological . Space Shuttle and Spacelab utilization: Near-term and The coverage field of earth observation satellites at the applications pOO25 A79-14164 long-term benefits for mankind: Proceedings of the earth's surface. Description of the computer program HAVE*. R. M. Twenty-fourth Annual Meeting and Sixteenth Goddard COFI 'Smart' remote sensor needs for U.S. Coast Guard ocean Memorial Symposium. Washington. D.C.. March 8-10. [ESA-TT-487] p0022 N79-11457 1978. Parts 1 & 2 pO049 A79-17076 environment missions Coverage behavior of ERDSAT for some selected areas IAIAA PAPER 73-1721) pooso A79-13837 HOLMES, a A. of the earth's surface HAY*. T. R. Optimum thermal infrared bands for mapping general [ESA-TT-494] pO043 N79-11458 rock type and temperature from space A comparison of photointerpretive and digital production JOHANNSEN. C. [NASA-CR-151842] pOO26 N79-11449 methods for four key remote sensing-based information Findings of the system implementation and operations products p0037 A79-11385 HOLMES. R. peer group pOOl 1 N79-14434 HEAD. R. An independent evaluation by the plenary peer review JOHANNSEN. C. J. Findings of the USDA applications test system peer team pO011 N79-14431 Mapping land covers from satellite images - A basic, group p0011 N79-14436 Findings of the LACIE supporting research peer group low cost approach pOOl 7 A79-11664 HEERMAN. D. pOOII N79-14437 JOHNSEY. R. Findings of the experiment design peer group HOLMQUIST. K. W. pOOIt N79-14433 Washington State forest insect survey - Combining aerial Landsat analysis of lake quality for statewide lake sketch map and remote sensing techniques HEIKKENEN. H. J. classification pO033 A79-11756 Previsual detection of stressed loblolly pine/Pinustaeda pOOOS A79-17901 MOOS. I. R. L./ p0003 A79-17879 JOHNSON. F. HEIN. O. W. An integrated study of earth resources in the state of Generation of uniform chromaticity scale imagery from California using remote sensing techniques Geodetic high precision measurements in active tectonic LANDSAT data IE79-10082] p0050 N79-15361 areas p0022 N79-12503 [E79-10033] p0039 N79-13440 HEISS. K. HOPPE. P. JOHNSON. W. Interdisciplinary application of the 'DIBIAS' digital image Findings of the experiment results peer group Derived water temperatures using S191 and S192 processing system to geological and maritime problems data pOO44 N79-14440 p0011 N79-14432 pOO38 A79-14181 HEISS. K. P. Severe storm cloud-top characteristics HOUSTON. A. G. p0045 N79-14447 The value of improved global crop information - An Large Area Crop Inventory Experiment (LACIE). Effects empirical approach to Landsat benefits of non-response including cloud cover on aggregation of Remote sensing of atmospheric water vapor pOO01 A79-11377 wheat area in the US Great Plains pOO45 N79-14448 HELLER. R. C. IE79-10057] pOOlO N79-13464 JUDAY. R. D. Case applications of remote sensing for vegetation HOUSTON. G Generation of uniform chromaticity scale imagery from damage assessment pOO04 A79-17888 Experiment design session: Accuracy assessment, the LANDSAT data Remote sensing approach to identifying preferred statistical approach to performance evaluation [E79-10O33] p0039 N79-13440 Douglas-fir tussock moth /Orgyia pseudotsugata McD./ p0013 N79-14464 JUNKINS. J. L sites pOOOS A79-17893 Experiment results session: Accuracy and performance A distortion-free map projection for analysis of satellite HEMPHIU. W. R. of LACIE estimates pO014 N79-14482 imagery pO038 A79-14197 Marine monitoring of natural oil slicks and man made HSU. S.-V. wastes utilizing an airborne imaging Fraunhofer line Texture-tone analysis for automated land-use mapping discriminator pOO42 A79-15104 I pO037 A79-13795 K HENDERSON. R. HUMOEMANN. A. 8. Findings of the USDA applications test system peer Remote sensing applied to environmental pollution KAKKURI. J. group p0011 N79-14436 detection and management. A bibliography with abstracts On the gravimetric survey of the Gulf of Bothnia HENEIN. J. C. (NTIS/PS-78/0789/4] pO019 N79-10505 p0022 N79-12497 Remote sensing oceanographic and terrestrial information systems pO029 A79-11379 Remote sensing applied to urban and regional planning. KAN. E. P. F A bibliography with abstracts Nationwide forestry applications program. A literature HENRY. M. E. [NTIS/PS-78/0790/2] p0019 N79-10506 review of major remote sensing projects mapping forest Marine monitoring of natural oil slicks and man made Remote sensing applied to geology and mineralogy. A land in the United States, using satellite data and automatic wastes utilizing an airborne imaging Fraunhofer line bibliography with abstracts data processing discriminator pOO42 A79-15104 [NTIS/PS-78/0791/0] p0026 N79-10507 (E79-10072] p0016 N79-15351 HENSLEY. W. E. Remote sensing of agricultural resources. A bibliography KAST, J. LACIE applications evaluation system: A design with abstracts Findings of the data processing systems design peer overview p0012 N79-14452 (NTIS/PS-78/0969/2] pOO07 N79-12536 group pOOII N79-14435 HERSST. R. P. HURST. R. KAUTH. R. J. Use of color infrared aerial photography for documenting USDA Application Test System (ATS) session: ATS. Analysts of scanner data for crop inventories baseline vegetation stress in environmental impact technical approach and system design [E79-10037) p0003 N79-13444 assessment pOOOS A79-17896 P0015 N79-14495 KEITZ, E. L HUSSAIN. M. HERRMANN. R. Evaluation of instruments and measurement strategies Biological water quality monitoring from remote stations The automated generation and processing of digital terrain data for engineering planning pO019 A79-16597 for airborne remote sensing of regional air pollution and NASA GOES satellite pOO34 A79-15131 measurement requirements pOO42 A79-15083 HESKETH. W D. HUTCHINSON. C. F. The digital use of LANDSAT data for integrated land KELLY. D. L Aircraft instrumentation system for the remote sensing Cost benefit assessment of NASA remote sensing of carbon monoxide pOO42 A79-15090 resource survey: A study in the Eastern Mojave Desert. California p0019 N79-12519 technology transferred to the State of Georgia HEYDORN. R. P. p0048 A79-16554 Findings of the experiment design peer group KENDALL. B. M. pO011 N79-14433 Advanced systems requirements for ocean observations The LACIE supporting research program: A focused via microwave radiometers approach to research and development [AIAA PAPER 78-1737] p0030 A79-13850 pO012 N79-14453 IANNUCCI. C. Application of a digital image processing system to land KE8TNER. W. Experiment design session: Classification and use mapping from Landsat data Semiautomatic extraction of roads from aerial mensuration approach p0012 N79-14463 (IAF PAPER 78-130] pO017 A79-11263 photographs Supporting Research and Technology (SRT) session: INGRAM. O. [AD-A060065] p0020 N79-15373 Methods for segment wheat area estimation An independent evaluation by the plenary peer review KHORRAM. S. p0014 N79-14487 team pOOl 1 N79-14431 An integrated study of earth resources in the state of HILL-ROWLEY. R. Findings of the system implementation and operations California using remote sensing techniques Michigan resource inventories - Characteristics and costs peer group p001 1 N79-14434 [E79-10082J pOOSO N79-15361 of selected projects using high altitude color infrared ISBELL. D. M. KIBLER. W. E. imagery p0037 A79-11384 Production mapping with orthophoto digital terrain Techniques for acquiring earth resource data that will HILL. J. models pO021 A79-18195 be acceptable and useful to program managers The impact of LACIE on a national meteorological [AIAA PAPER 78-1720) pOO48 A79-13836 capability pOO20 N79-14456 The status of existing global crop forecasting Experiment results session: LACIE crop years, an p0012 N79-14450 assessment of crop conditions pO014 N79-14481 KIEFER. R. W. HILL R. O. JACHEN8. R. C. Monitoring vegetation changes in a large impacted LACIE applications evaluation system: A design Mapping ocean tides with satellites - A computer wetland using quantitative field data and quantitative remote overview p0012 N79-14452 simulation pO038 A79-18324 sensing data p0019 A79-15051 B 4 PERSONAL AUTHOR INDEX MORGENTHALER, G. W.

KIM. W. I. LEGAULT. R. MARTINO, E. Land use Survey and mapping and water resources Findings of the USDA applications test system peer Identification of descriptive parameters in MSS system investigation in Korea group pOOIl N79-14436 by multivariate analysis and spline fitting (E79-100O3] p0035 N79-13425 LEIGEMANN. D. P0038 A79-16775 KIRCHHOF. W. Review of satellite tracking techniques probably capable MATHIES. J. B. Evaluation of Landsat image data for land-use mapping of monitoring plate tectonics p0022 N79-12501 Use of color infrared aerial photography for documenting [IAF PAPER 78-1181 p0017 A79-11256 LEUPOLO. R. C. baseline vegetation stress in environmental impact KIRKHAM. R. 0. Use of color infrared aerial photography for documenting assessment pOOOS A79-17896 Coastal zone and open ocean observations from NOAA baseline vegetation stress in environmental impact MATHIB. K. satellite very high resolution radiometers assessment pOOOS A79-17896 Commercial fishing port development in north Florida [PB-284445/4] p0031 N79-1 1648 UANG. T. [E79-10078] p0031 N79-15357 Cornell's remote sensing program - Remote sensing for KLECKNER. R. L MAXEY. G. B. the user p0048 A79-1 1753 A national program for land use and land cover mapping Mapping of Earth fissures in Las Vegas Valley. Nevada UCHTBLAU. J. H. using remotely sensed data p0018 A79-15034 [PB-286969/1] p0023 N79-15508 Outlook for world oil into the 21 st century with emphasis KLEIN. W. H. on the period to 1990 MAY, G. Multiphase airphoto assessment for annual losses caused [EPRI-EA-745] p0049 N79-11454 USDA Application Test System IATS) session: ATS by the mountain pine beetle in lodgepole pine UETZKE. K. H. experience to date and future plans p0015 N79-14497 pOOOS A79-17895 The value of volume and growth measurements in timber MCARDLE. R. KNUOTSON. E, sales management of the National Forests Findings of the USDA applications test system peer Detection of Armillaria root rot damage with shadowless p0001 A79-11389 group pOOIl N79-14436 color infrared photography p0005 A79-17899 USKA. B. MCCLAIN. C. R. KOHUT. R. J. Findings of the LACIE supporting research peer group Gulf stream ground truth project. Results of NRLairborne Use of color infrared aerial photography for documenting p0011 N79-14437 sensors baseline vegetation stress in environmental impact LORENZZETTI, J. A. (AD-A057420] pOO43 N79-1 1639 assessment pOOOS A79-17896 Application of remote sensing to the estimation of MCCOUOUQH. N. KOLBL O. chlorophyll in ocean water Biological water quality monitoring from remote stations Realistic land use mapping p0018 A79-14167 [INPE-1380-PE/177] p0031 N79-14699 and NASA GOES satellite p0034 A79-15131 KRAUTH. E. LOWTHER, J. D. MCCORMICK. M. J. Evaluation of Landsat image data for land-use mapping FLAME: Forestry Lands Allocated for Managing energy. The Pacific Northwest Regional Commission's Land (IAF PAPER 78-118J pOO)7 A79-11256 Feasibility study Resource Inventory Demonstration Project - The user's [AD A059993] p0015 N79-14507 KRISTOF. 3. J. experience LYON. J. Computer-aided analysis of Landsat data for surveying [AIAA PAPER 78-1719] pOOIS A79-13835 Data processing systems design session: Evolution of Texas coastal zone environments p0038 A79-14168 MCCRARY. D. the Earth Resources Interactive Processing System KRITIKOS. G. System implementation and operations session: (ERIPS) p0013 N79-14473 Implementation and operation of yield forecasting and crop Evaluation of Landsat image data for land-use mapping Data processing systems design session: Very high speed [IAF PAPER 78-1181 p0017 A79-11256 growth stage estimation p0013 N79-14468 processing as related to pixel-dependent tasks MCDONNELL. M. M. KUMAR. R. p0040 N79-14476 Holographic terrain displays p0037 A79-12036 Feature selection and sample classification algorithms MCFARLAND, M. J. of INPE The correlation of Skylab L-band brightness temperatures [INPE-1120-PE/088] p0039 N79-10812 M with antecedent precipitation p0044 N79-14443 Separability of agricultural cover types in spectral MCGIUEM. C. channels and wavelength regions MACCOLU D. Analysis of the effects of interpolation and enhancement [NASA-CH-157803I p0006 N79-11451 Synthetic aperture radar systems for remote sensing from of LANDSAT-1 Data on classification and area estimation Radiometric correction of LANDSAT data space accuracy IE79-10017] p0044 N79-12531 [IAF PAPER 78-149] p0041 A79-11272 [E79-10O38] pOOOS N79-13445 Determination and error analysis of eminence and MACOONALD, H. C. MCGUIGAN. D. P. spectral emittance measurements by remote sensing Landsat change detection can aid in water quality Large Area Crop Inventory Experiment {LACIE}. IE79-10021] p0007 N79-12532 monitoring p0033 A79-11667 Second-generation sampling strategy evaluation report [E79-10056] pOOlO N79-13463 Statistical separability and classification of land use MACDONALD. R. B. MCKEON. J. B. classes using image-100 LACIE: An experiment in global crop forecasting Summary report - Application of Landsat to the [E79-10022] p0039 N79-12533 p0012 N79-14451 Evaluation of spectral channels and wavelength regions surveillance of lake eutrophication in the Great Lakes The outlook for satellite remote sensing for crop basin p0033 A79-1I758 for separability of agricultural cover types inventory p0012 N79-14457 [E79-10024] pOOOS N79-13435 Landsat derived, land cover and imperviousness MADDING. R. P. categories for metropolitan Washington - An Comparison of feature selection techniques for earth Detection and mapping of spruce budworm infestation urban/non-urban, computer approach pOOIS A79-11759 resources data in Northern Wisconsin using digital analysis of Landsat MCQUILLAN. A. K. [E79-10025] pOOOS N79-13436 data p0004 A79-17886 Remote sensing oceanographic and terrestrial information KUO, J. T. MAHAN. R. O. systems p0029 A79-11379 Mapping ocean tides with satellites - A computer The application of digital terrain model and space MEUERIMK. A. M. J simulation p0038 A79-18324 resection techniques to digitizing the position of southern On the nature of base flow and groundwater occurrences pine beetle infestations delineated on large scale aerial in the Serayu River basin p0034 A79-19895 photographs p0004 A79-17884 MEYER. M. P. MAKHIN. G V. 40 years of Mississippi River floodplain change assessed Application of space images to geological investigations by aerial photography p0033 A79-11661 LACHOWBKI. H. M. in the USSR to date and in future The use of CIR aerial photography for Dutch elm disease Landsat forest inventory of the Philippines [IAF PAPER 78-111] p0025 A79-11249 detection pOO04 A79-17892 p0002 A79-11665 MALANOTTE-RIZZOU. P. MEYER, R. E. LAMB. F. Remote sensing and ocean modelling - An application An airborne X-band microwave radiometer Findings of the experiment results peer group to the Adriatic Sea p0030 A79-16776 [ISBN-0-643-00314-2] p0044 N79-12410 pOOIl N79-14432 MILLER. C. B. MALET. M. LANDRUM, P. D. Spectral and spatial signature recognition in urbanizing An example of the economic interest in remote sensing Commercial fishing port development in north Florida areas of southern California from U-2 color infra-red - Forecasting of maize crops [E79-10078] p0031 N79-15357 imagery pOOIS A79-14173 {IAF PAPER 78-116] p0001 A79-11254 LAUER. O. T. MILLER. B. H. Remote sensing program in eanh resources MALI LA. W. A. Geologic application of thermal-inertia mapping from p0048 A79-16187 Analysis of scanner data for crop inventories satellite LEANER. R. W. [E79-10037] pOOOS N79-13444 [E79-10081] p0027 N79-15360 Findings of the LACIE supporting research peer group MALUF. B. MILLER. W. A. P0011 N79-14437 The application of remote sensors to a model for fish Remote sensing approach to identifying preferred Plant cover, soil temperature, freeze, water stress, and mapping Douglas-fir tussock moth /Orgyia pseudotsugata McD./ evapotranspiration conditions [INPE-1379-PE/176] p0031 N79-14712 sites pOOOS A79-17893 (E79-10080] pO016 N79-15359 MANCY. K. H. MINTZER. O. W. LEBERL, F. W. Use of Landsat imagery for Lake Nasser resource Mini-format remote sensing for civil engineering Image processing - Interactions with photogrammetry management p0034 A79-15133 pOO43 A79-18575 and remote sensing: Proceedings of the International MANNHEIMEM. H. MOCO. M. Symposium. Technische Universitaet Graz. Graz. Austria. Landsat missions Preliminary geological precambrian map of Piaui October 3-5. 1977 p0037 A79-14151 [AAS 78-019) p0049 A79-17078 [INPE-1146-PE/099] p0026 N79-11450 LEDUC, 8. K. MANNING. K. MONTI. R. Large Area Crop Inventory Experiment (LACIE). A developmental program of satellite data collection Estimation of the soil composition by IR observation of Yield-weather regression models for the Canadian prairies p0038 A79-18951 the earth by satellites [E79-10071] 0016 N79-15350 [IAF PAPER 78-126] p0025 A79-11260 P MARINO. C. M. LEE. J. T. MOORE. R. K. The importance of repeated and multispectral analyses Severe storm environments: A Skylab EREP report Active microwave sensing of the earth's surface - A mini [E79-10027] p0044 N79-14438 in geological-structural applications of data obtained from review 0042 A79-15464 space p0026 A79-16777 P The variational analysis of June 11. 1973. meteorological MORGAN. E. L data 00044 N79-14442 MARKHAM. B. L Biological water quality monitoring from remote stations Severe storm cloud-top characteristics Cornell's remote sensing program - Remote sensing for and NASA GOES satellite p0034 A79-15131 p0045 N79-14447 the user p0048 A79-11753 MORGCNTHALER. G. W. Remote sensing of atmospheric water vapor MARTINI. P. R. Space Shuttle and Spacelab utilization: Near-term and P0045 N79-14448 Preliminary geological precambrian map of Piaui long-term benefits for mankind: Proceedings of the LEE. Y. J. [1NPE-1146-PE/099] p0026 N79-11450 Twenty-fourth Annual Meeting and Sixteenth Goddard Microdensitometry to identify Douglas-fir tussock moth Project Gondwana: Jugaribe-SB-24 Memorial Symposium. Washington. D.C.. March 8-10. defoliation on color IR aerial photos p0004 A79-17885 [E79-10013] p0027 N79-12528 1978 Parts 1 & 2 pO049 A79-17076 B 5 MORIN. L PERSONAL AUTHOR INDEX

MORIN. L Remote sensing of atmospheric water vapor Spray block mapping control for spruce budworm using p0045 N79-14448 Landsat and high altitude remote sensing System implementation and operations session: OFFIELD. T. W. pOOO2 A79-14152 Accuracy assessment, system implementation and Geologic application of thermal-inertia mapping from MORLEV. L W. operation 0013 N79-14470 satellite P Remote sensing oceanographic and terrestrial information POLAK. R. (E79-100811 P0027 N79-15360 systems P0029 A79-11379 Evaluation of multispectral scanner data by hybrid MORSE. D. R. A. OHLHORCT. C. W. methods pO042 A79-14178 Economic analysis in the Pacific Northwest Land Quantitative mapping of paniculate iron in an ocean dump POOLE. E. Resources Project • Theoretical considerations and using remotely sensed data p0029 A79-11766 Data processing systems design session: Equipment preliminary results pOO47 A79-11383 OKAYAMA. H. selection criteria for R and D image processing MOWER. R. D, Estimation of soil moisture and components by measuring pO040 N79-14479 The inventory and distribution of water and associated the degree of spectral polarization with a remote sensing PORE, M. D. land resources in the Garrison/Devils Lake Region of ND: simulator p0041 A79-11748 Generation of uniform chromaticity scale imagery from An application of resource data acquired OLSON. K. N. LANDSAT data [PB-286091/4] p0036 N79-14525 40 years of Mississippi River floodplain change assessed [E79-10033) p0039 N79-13440 MOZHAEV. B. M. by aerial photography pO033 A79-11661 PROCHASKA. F. J. Application of space images to geological investigations OLUIC. M. Commercial fishing port development in north Florida in the USSR to date and in future Results of application of data from space to geological [E79-10078] p0031 N79-15357 IIAF PAPER 78-111) p0025 A79-11249 survey in Yugoslavia MROCZYNSKI. R. P. [IAF PAPER 78-112) p0025 A79-11250 Forest resource information system ORTH. R. [E79-10010) P0007 N79-12526 A self-contained Landsat data reception and precision MUENCHOW. R. cartographic image production system O.UIEL F. Role of the USAF AM/AAD-5 Infrared Reconnaissance 00021 A79-14179 A branched classification system applied to special Set in pollution detection and fuel conservation OCTERHOUDT. F. problems in multispectral data analysis pO041 A79-12088 pOO03 A79-14176 MURPHREY. *. W. Experiment results session: Economic evaluation: concepts, selected studies, system cost, and a proposed OUIREIN. J. SAR/LANDSAT image registration study program p0014 N79-14485 An independent evaluation by the plenary peer review (E79-10035) P0039 N79-13442 team pOOl 1 N79-14431 MURPHY. J. O OTTERMAN. J. Findings of the USDA applications test system peer The contribution of space observations to global food group pOOII N79-14436 information systems: Proceedings of the W. Nordberg Technology transfer: Concepts, user requirements, and Memorial Symposium. Tel Aviv. Israel. June 7-18. 1977 a practical application p0049 N79-14455 pCO48 A79-12502 USDA Application rest System (ATS) session: OWtM-JOME*. f. 8. RABCHEVSKY, G A. Technology transfer; concepts, user requirements, and their Prospecting by satellite pOO47 A79-11475 Landsat geologic reconnaissance of the Washington. D.C. practical application p0014 N79-14492 area westward to the Appalachian Plateau MURPHY. L P. pOO25 A79-11763 The role of 'Smart' sensors in earth resources remote RAOER. M. sensing programs Data processing systems design session: The cartographic laboratory pOO13 N79-14477 [AlAA PAPER 78-1717) p0041 A79-13834 PAARLBIRO. D. MURTHA. P. A. An independent evaluation by the plenary peer review RAQAN. R. M. Remote sensing and vegetation damage - A theory for team p0011 N79-14431 Landsat derived, land cover and imperviousness categories for metropolitan Washington - An detection and assessment p0003 A79-17877 PACKARD. R. L Landsat verification of aerial sketch-mapping Technology transfer: Concepts, user requirements, and urban/non-urban, computer approach pOOIS A79-11759 pOOOS A79-17898 a practical application p0049 N79-14455 RATKOWMY. D. A. MUSOROVE, R. O. PAIVAFILNO. A. Recognition of patterns of damage in tall forests in LACIE applications evaluation system: A design Preliminary geological precambrian map of Piaui Australia pOO04 A79-17889 overview pO012 N79-14452 IINPE-1146-PE/099] p0026 N79-11450 REED. L E. MYER*. B. J. PALUDAN. T. Landsat derived, land cover and imperviousness Recognition of patterns of damage in tall forests in Eulusmap - An international land resources map utilizing categories for metropolitan Washington - An Australia pOOO4 A79-17889 satellite imagery urban/non-urban, computer approach pOO18 A79-1 1759 Detection of a crown diebgck in Australian eucalypt |IAF PAPER 78-124] p0021 A79-11259 forests on large-scale aerial photographs REID. M. Eulusmap: An international land resources map utilizing The impact of LACIE on a national meteorological p0004 A79-17891 satellite imagery capability pOO20 N79-14456 Remote sensing of vegetation damage to assess the [NASA-TP-1371] p0022 N79-13475 effectiveness of prescribed burning in Australia REMEUN. J. M. PATT. R. O. Forest road planning from aerial photographs pOOOB A79-17903 Mapping of Earth fissures in Las Vegas Valley. Nevada pOO06 A79-19894 MYER*. V. I. [PB 286969/1] p0023 N79-15508 RICHARDSON. A. J. Remote sensing applications to resource problems in PAUL. C. K. South Dakota Plant cover, soil temperature, freeze, water stress, and Internationalization of remote sensing technology evapotranspiration conditions (E79-10089) P0016 N79-15367 p0047 A79-11662 (E79-10080) p0016 N79-15359 PAUSADER. M. Experiment on the interaction of microwaves with natural ROSINOVE. C. J. N surfaces from the viewpoint of their use in the remote Current end potential uses of aerospace technology by sensing of agricultural zones the U.S. Department of the Interior NAQV. G. [IAF PAPER 78-ST-01] pOOOl A79-11357 [AIAA PAPER 78-1716] pOO48 A79-13833 An independent evaluation by the plenary peer review PAWUK. W. RODRIGUEZ BEJARANO. D. team p0011 N79-14431 The coverage field of earth observation satellites at the A review of the uses of Landsat imagery in Mexico Findings of the USDA applications test system peer earth's surface. Description of the computer program p0037 A79-11663 group pO011 N79-14436 COFI RODRIGUEZ. R. R. NAMKEN. L N. IESA-TT-487] p0022 N79-11457 Using reflectance and photography to detect ozone Plant cover, soil temperature, freeze, water stress, and PENNA. A. damage to cantaloupe plants p0003 A79-17880 evapotranspiration conditions Application of a digital image processing system to land ROGERS, R. H. [E79-10080] p0016 N79-15359 use mapping from Landsat data Summary report - Application of Landsat to the NEIERS. J. W. [IAF PAPER 78-130) p0017 A79-11263 surveillance of lake eutrophication in the Great Lakes Sensor needs for agricultural applications PERSCHV. J. A. basin p0033 A79-11758 [AIAA PAPER 78-1745] p0002 A79-13852 The Seasat-A satellite radar altimeter spaceborne Landsat derived, land cover and imperviousness NEWTON, D. W. microcomputer p0043 A79-18869 categories for metropolitan Washington - An The use of Landsat-derived land cover data in a flood PETTINOER. L R. urban/non-urban, computer approach pOOIS A79-11759 peak correlation study p0033 A79-11755 A selected bibliography: Remote sensing applications ROSENTHAL W. D. HI, J. for tropical and subtropical vegetation analysis Dryland pasture and crop conditions as seen by HCMM [PB-284683/0) pOO07 N79-12539 Contemporary tectonics in the Tien Shan region (E79-10079) pOO16 N79-15358 P0021 A79-18863 PHIUPMN. W. R. RUFENACH, C. L NICHOLS. J. D. Cornell's remote sensing program - Remote sensing for the user p0048 A79-11753 Measurement of ocean wave heights using the Geos 3 Improvement of earth resource inventories utilizing altimeter p0041 A79-11767 remotely sensed data /sampling and remote sensing/ PHILLIP*. T. RUSSELL. K. pOOOl A79-11382 Findings of the data processing systems design peer Detection of Armillaria root rot damage with shadowless NIERO. M. group pOOII N79-14435 cotof infrared photography pOOOS A79-17899 Statistical separability and classification of land use PHINNEV. O. classes using image-100 Experiment results session: Accuracy and performance RYERSON. R. A. (E79-10022J p0039 N79-12533 of LACIE yield estimates p0014 N79-14483 Bean area estimates from Landsat and airborne remote PIECH. K. R. sensing data p0002 A79-11659 Utilization of orbital data from LANDSAT 1 in the* The blue-to-green reflectance ratio and lake water classification of urban land usage of the Sao Jose quality p0029 A79-11000 grassland PITT*. D. E. [E79-10085) p0020N79-15363 Severe storm environments: A Skylab EREP report NIXON. P. M. [E79-10027] p0044 N79-14438 Plant cover, soil temperature, freeze, water stress, and Severe storm experiment summary p0044 N79-14439 SAHLBERG. J. T. evapotranspiration conditions Derived water temperatures using S191 and S192 Economic analysis in the Pacific Northwest Land [E79-10080] p0016 N79-15359 data PO044 N79-14440 Resources Project - Theoretical considerations and NUESCH. O. R. Inversion of 5191 data into temperature and water vapor preliminary results p0047 A79-11383 Optimum thermal infrared bands for mapping general profiles p0044 N79-1444) SAKAMOTO. C. rock type and temperature from space Severe storm cloud-top characteristics Experiment design session: Wheat yield model [NASA-CR-151842] pO026 N79-11449 P0045 N79-14447 development pO012 N79-14462 B 6 PERSONAL AUTHOR INDEX TURNER. J. D.

SAKAMOTO. C. M. SHINN. M. R. 8ULESTER. J. LACIE transition project. FV 1978-1979: Reanalysis Landsat change detection can aid in water quality Findings of the data processing systems design peer of CCEA 1 US Great Plains wheat yield models monitoring p0033 A79-11667 group pOOII N79-14435 IE79-10062) pOOlO N79-13469 SICCO

u WILKINS. R. D. Cost benefit assessment of NASA remote sensing ULBRICHT. K. A. technology transferred to the State of Georgia POO48 A79-16554 Interdisciplinary application of the 'DIBIAS' digital image processing system to geological and maritime problems WILLIAMS. D. L A reduction in ag./residential signature conflict using p0038 A79-14181 principal components analysis of Landsat temporal data p0017 A79-11669 Monitoring gypsy moth defoliation by applying change detection techniques to Landsat imagery p0004 A79-17887 VALDES. J. WILLIAMS. D. R. Landsat geologic reconnaissance of the Washington, D.C. Applications of remote sensing to vegetation injury area westward to the Appalachian Plateau caused by air pollution p0006 A79-17904 D0025 A79-11763 WILSON. P. VENEZIANl, P. Satellite tracking techniques and their applications for Remote sensing applied to prospecting of thermomineral geodesy and navigation p0022 N79-12486 water in the county of Caldas Novas-Goias WINTER. R. [NASA-TM-75583] pO026 N79-10501 Evaluation of Landsat image data for land-use mapping Preliminary geological precambrian map of Piaui (IAF PAPER 78-118) p0017 A79-II256 [INPE-1U6-PE/099) pO026 N79-11450 WOLF. H. C. Remote sensing applied to surveying the thermomineral A scene-analysis approach to remote sensing water region of Caldas Novas Goias [E79-10029] P0022 N79-13438 [E79-10014) p0027 N79-12529 WON. I. J. VOSS. A. W. Mapping ocean tides with satellites - A computer The use of Landsat-derived land cover data in a flood simulation p0038 A79-18324 peak correlation study pO033 A79-11755 WOOLLEY. 8. Experiment results session: Accuracy and performance of LACIE crop development models p0014 N79-14484 W WVNN. ». L Monitoring vegetation changes in a large impacted WAITE, W. p. wetland using quantitative field data and quantitative remote Landsat change detection can aid in water quality sensing data p0019 A79-15051 monitoring p0033 A79-M667 WALKER. J. E. Quantifying gypsy moth defoliation pO002 A79-13794 Applications of photometric process in monitoring vegetation damage due to external stresses YOKOYAMA. R. D0004A79-17883 A comprehensive data processing plan for crop calendar WALL. S. MSS signature development from satellite imagery: Crop Findings of the system implementation and operations identification using vegetation phenology peer group pOOll N79-14434 [E79-10001] P0007 N79-13424 W ALLEN, V. ft. YOUNG. R. W. Bean area estimates from Landsat and airborne remote Multiphase airphoto assessment for annual losses caused sensing data pOOO2 A79-11659 by the mountain pine beetle in lodgepole pine WATKINS. T. H. p0005 A79-17895 Conference on the Economics of Remote Sensing YOUNG. W. H. Information Systems, 1st, San Jose State University, San Production mapping with ortrtophoto digital terrain Jose. Calif., January 19-21. 1977. Proceedings models P0021 A79-18195 pO047 A79-11376 WATSON. K. Geologic application of thermal-inertia mapping from satellite [E79-10081] p0027 N79-15360 ZIMMER. R. P. WATSON. H. D. Cost benefit assessment of NASA remote sensing Marine monitoring of natural oil slicks and man made technology transferred to the State of Georgia wastes utilizing an airborne imaging Fraunhofer line p0048 A79-I6554 discriminator p0042 A79-15104 WEAK, J. F. Microdensitomelry to identify Douglas-fir tussock moth defoliation on color IR aerial photos p0004 A79-17885 WEAVER, J. E. Nationwide forestry applications program: Ten-Ecosystem Study (TES) site 3, St. Louis County, Minnesota [E79-10034] pOOOS N79-13441 WEHDE. M. E. Remote sensing applications to resource problems in South Dakota [E79-10089J P0016 N79-15367 WE HM A MEN. O A. Large Area Crop Inventory Experiment (LACIE). Detecting and monitoring agricultural vegetative water stress over large artjas using LANDSAT digital data [E79-10063] pOOlO N79-13470 WEfSMILUR, R. A. Computer-aided analysis of Landsat data for surveying Texas coastal zone environments p0038 A79-14168 WELCH, R. Findings of the LACIE supporting research peer group pO011 N79-14437 WESTBERRY, L Data processing systems design session: Data base design considerations pO039 N79-14474 WHITE. T, T. LACIE applications evaluation system: A design overview pOOl2 N79-14452 System implementation and operations session: LACIE AES efficiency report p(X)13 N79-14471 WHITE HE AD. V. Experiment design session: Growth stage estimation D0012 N79-14461 WIEGANO, C. L Plant cover, soil temperature, freeze, water stress, and evapotranspi ration conditions [E79-10080] pO016 N79-15359 W1EGAND. O. C. Landsat derived, land cover and imperviousness categories for metropolitan Washington - An urban/non-urban, computer approach pO018 A79-11759 WIERSMA. Q. B. Development of a pollutant monitoring system for biosphere reserves and results of the Great Smoky Mountains pilot study pO019 A79-15082 B-8 CORPORATE SOURCE INDEX

Earth Resources/,4 Continuing Bibliography (Issue 21) APRIL 1979

Typical Corporate Source Index Listing

CORPORATE SOURCE

FLORIDA UNIV.. GAINESVILLE. i Commercial fishing pOrl development in nonh Florida |E79 10078] p003l N79 15357 DESERT RESEARCH INST.. RENO. NEV. INSTITUT FUER ANGEWANOTE GEODAESIE, Mapping of Earth fissures in Las Vegas Valley. Nevada FRANKFURT AM MAIN (WEST GERMANY). [PB-286969/1J p0023 N79-15608 Satellite tracking techniques and their applications for geodesy and navigation p0022 N79-12486 r Review of satellite tracking techniques probably capable REPORT PAGE ACCESSION of monitoring plate tectonics p0022 N79-12501 NUMBER NUMBER NUMBER IN8TITUTO OE PESQUISAS ESPACIAIS. SAO JOSE DOS CAMPOS (BRAZIL). ECON, INC.. PRINCETON, N. J. Feature selection and sample classification algorithms The value of volume and growth measurements in timber of INPE sales management of the National Forests The title of the document is used to provide a HNPE-1120-PE/Q88] p0039 N79-1Q812 p0001 A79-11389 Preliminary geological precambrian map of Piaui brief description of the subject matter. The page ENVIRONMENTAL PROTECTION AGENCY. LAS [INPE-1146-PE/099J p0026 N79-11450 number and the accession'number are included VEGAS. NEV. Separability of agricultural cover types in spectral in each entry to assist the user in locating the ab- Trophic classification of Colorado lakes utilizing contact data. Landsat and aircraft-acquired multispectral scanner channels and wavelength regions [NASA-CR-157803] pO006 N79-11451 stract in the abstract section. If applicable, a data P0034 A79-15132 report number is also included as an aid in iden- ENVIRONMENTAL RESEARCH INST. OF MICHIGAN. Project Gondwana: Jugaribe-SB-24 ANN ARBOR. [E79-10013] D0027 N79-12528 tifying the document. Optimum thermal infrared bands for mapping general Remote sensing applied to surveying the thermomineral rock type and temperature from space water region of Caldas Novas, Goias INASA-CR- 151842] P0026 N?9-11449 IE79-10014) P0027 N79-12529 Analysis of scanner data for crop inventories The use of LANDSAT data for the establishment, control [E79-10037] pOOOS N79-13444 and supervision of pasture projects in the southeast Amazon EUROPEAN SPACE AGENCY. PARIS (FRANCE). region Analysis of a remote sensing payload for the Spacelab [E79-10016] p0007 N79-12530 Radiometric correction of LANDSAT data AGRICULTURAL RESEARCH SERVICE. PHOENIX. D3 mission (preliminary phase A) [E79-10O17] p0044 N79-12531 ARIZ. [ESA-TT-482] p0043 N79-11456 HCMM Heat Capacity Mapping Mission The coverage field of earth observation satellites at the Determination and error analysis of emittance and [E79-10007] pOOOS N79-13428 earth's surface. Description of the computer program spectral emittance measurements by remote sensing (E79-10021] p0007 N79-12532 AGRICULTURAL RESEARCH SERVICE. WESLACO, COFI [ESA-TT-487] p0022 N79-11457 Statistical separability and classification of land use TEX. classes using image-100 Plant cover, soil temperature, freeze, water stress, and Coverage behavior of ERDSAT for some selected areas evapotranspiration conditions of the earth's surface [E79-10022] p0039 N79-12533 [ESA-TT-494J 0043 N79-11458 Project Rondonia [E79-10080] P0016 N79-16359 P [E79-10012] 00039 N79-13429 ARIZONA UNIV.. TUCSON. Population and growth estimates of urban areas in the Outlook for world oil into the 21 st century with emphasis on the period to 1990 state of Sao Paulo utilizing LANDSAT images [EPRI-EA-745] p0049 N79-11454 (E79-10015] p0020 N79-13430 Deforestation planning for cattle grazing in Amazon Basin ARKANSAS UNIV.. FAYETTEVILLE. FLORIDA UNIV., GAINESVILLE. using LANDSAT data Commercial fishing port development in north Florida Landsat change detection can aid in water quality [E79-100T8J pOOOS N79-13431 monitoring pO033 A79-11667 [E79-10078] pO031 N79-15357 Evaluation of reforested areas using LANDSAT imagery FORSCHUNGSINSTITUT FUER [E79-10019] pOOOS N79-13432 INFORMATIONSVEHANBEITUNG. KARLSRUHE (WEST GERMANY). Utilization of LANDSAT images for geological Semiautomatic extraction of roads from aerial investigation in the central portion of Minas Gerais photographs [E79-10O20] p0027 N79-13433 CALIFORNIA UNIV.. BERKELEY. [AD-A060065] p0020 N79-15373 Overview of Brazilian remote sensing activities Application of remote sensing to selected problems within (E79-10O23) p0049 N79-13434 the state of California Evaluation of spectral channels and wavelength regions [E79-1O075] pOOSO N79-15354 for separability of agricultural cover types An integrated study of earth resources in the state of [E79-10024J pOOOS N79-13435 California using remote sensing techniques Comparison of feature selection techniques for earth [E79-10082] P0050 N79-15361 GENERAL ELECTRIC C3.. HUNTSVILLE. ALA. resources data CALIFORNIA UNIV.. RIVERSIDE. Sensor needs for agricultural applications [E79-100251 pOOOS N79-13436 The digital use of LANDSAT data for integrated land [AIAA PAPER 78-1745] p0002 A79-13852 Application of LANDSAT satellite imagery and resource survey: A study in the Eastern Mojave Desert. GEODETIC INST.. HELSINKI (FINLAND). oceanographic data for verification of an upwetling California p0019 N79-12519 On the gravimetric survey of the Gulf of Bothnia mathematical model CALIFORNIA UNIV.. SANTA BARBARA. pOO22 N79-12497 [E79-10026] p0031 N79-13437 Discrimination of geologic units in Death Vatley using The application of remote sensors in the interpretation dual frequency and polarization imaging radar data GEOLOGICAL SURVEY, DENVER, COLO. of LANDSAT data fat regional geological mapping in the Geologic application of thermal-inertia mapping from P0025 A79-11857 central portion of Minas Gerais satellite (E79-10039] p0027 N79-13446 CALSPAN CORP.. BUFFALO. N. Y. [E79-10081] p0027 N79-15360 The blue-to-green reflectance ratio and lake water Project SUDAM: Use of LANDSAT data to study the quality p0029 A79-11000 GEOLOGICAL SURVEY, FLAGSTAFF. ARIZ. impact of agricultural projects in the Amazon Discrimination of geologic units in Death Valley using [E79-10060J pOOlO N79-13467 CIVIL AND ENVIRONMENTAL ENGINEERING dual frequency and polarization imaging radar data INPE remote sensing program DEVELOPMENT OFFICE. TYNDALL AFB. FLA. pOO25 A79-118B7 [E79-10061] P0049 N79-13468 FLAME: Forestry Lands Allocated for Managing energy Application of remote sensing to the estimation of Feasibility study GEOLOGICAL SURVEY. SIOUX FALLS. ». OAK. chlorophyll in ocean water [AD-A059993] pOOIS N79-14507 Remote sensing program in earth resources pOO48 A79-16187 [INPE-1380-PE/177] p0031 N79-14699 COMMONWEALTH SCIENTIFIC AND INDUSTRIAL The application of remote sensors to a model for fish RESEARCH ORGANIZATION. ASPENDALE GEORGIA INST. OF TECH.. ATLANTA. mapping (AUSTRALIA) Cost benefit assessment of NASA remote sensing [INPE-1379-PE/176J p0031 N79-14712 An airborne X-band microwave radiometer technology transferred to the State of Georgia Utilization of orbital data from LANDSAT 1 in the [ISBN-0-643-00314-2] P0044 N79-12410 p0048 A79-16554 classification of urban land usage of the Sao Jose COMPUTER SCIENCES CORP.. SILVER SPRING. MD. grassland Monitoring gypsy moth defoliation by applying change [E79-10085] p0020 N79-15363 detection techniques to Landsat imagery H LANDSAT and environmental impact in the Paraiba Valley pOOO4 A79-17887 of Sao Paulo CONSERVATION FOUNDATION. WASHINGTON. D. C. [E79-10O861 p0020 N79-15364 Physical management of coastat floodpfains: Guidelines HAMBURG UNIV. (WEST GERMANY). Application of LANDSAT in the evaluation of argiculturaf for hazards and ecosystems management Measurement of ocean wave heights using the Geos 3 and forest resources IPB-284164/1] p0035 N79-12534 altimeter p0041 A79-11767 [E79-10088] p0016 N79-15366 C-1 INTER-AMERICAN TROPICAL TUNA COMMISSION. LA JOLLA, CALIF. CORPORATE SOURCE INDEX

INTER-AMERICAN TROPICAL TUNA COMMISSION. N Large Area Crop Inventory Experiment (LACIE). Test LA JOLLA. CALIF. and evaluation plan for KSU and CCEA phase 3 yield Coastal zone and open ocean observations from NOAA models NATIONAL ACADEMY OF SCIENCES - NATIONAL satellite very high resolution radiometers [E79-10O49] pOOOS N79-13456 RESEARCH COUNCIL WASHINGTON. D. C. [PB-284445/4] p0031 N79-11648 Large Area Crop Inventory Experiment (LACIE). Microwave remote sensing from space for earth resource INTERNATIONAL BUSINESS MACHINES CORP.. Implementation plan for operations coordination center surveys [E79-10050] p0009 N79-13457 GAITHERMURO. MO. [NASA-CR-157891] p0043 N79-10497 SAR/LANDSAT image registration study Large Area Crop Inventory Experiment (LACIE). LACIE NATIONAL AERONAUTICS AND SPACE [E79-IO0351 pOO39 N79-I3«2 CAMS training plan ADMINISTRATION. WASHINGTON, D. C. [E79-10051] p0009 N79-13458 Remote sensing program in earth resources Large Area Crop Inventory Experiment (LACIE). LACIE p0048 A79-16187 quick look accuracy assessment report, review of the Landsat missions December 17. 1976 CAR lAAS 78-019J P0049 A79-17078 [E79-10052] POOO9 N79-13459 JET PROPULSION LAB.. CALIF. INST. OF TECH.. Forest inventory of east Thailand using ERTS-1 and Large Area Crop Inventory Experiment (LACIE). Level PASADENA. ground truth survey 3 baseline: LACIE operations plan Techniques for land use change detection using Landsat [NASA-TT-F-17065] p0006 N79-10500 [E79-10053] p0009 N79-13460 imagery ' pOO17 A79-U668 Remote sensing applied to prospecting of thermomineral Large Area Crop Inventory Experiment (LACIE). Level Multispectral remote observations of hydrolooic features water in the county of Caldas Novas-Goias 3 baseline: LACIE project documentation plan on the North Slope of Alaska pO033 A79-11672 (NASA TM 75583) pO026 N79-10501 [E79-10054] p0009 N79-13461 Discrimination of geologic units in Death Valley using Application of LANDSAT images in the Minas Gerais Large Area Crop Inventory Experiment (LACIE). Detection dual frequency and polarization imaging radar data tectonic division of episodic phenomena on LANDSAT imagery pO025 A79-11857 INASA-TM-75584] pO027 N79-14501 [E79-10055] p0010 N79-13462 Large Area Crop Inventory Experiment (LACIE). An interactive lake survey program p0034 A79-12O07 NATIONAL AERONAUTICS AND SPACE Second-generation sampling strategy evaluation report ADMINISTRATION. AMES RESEARCH CENTER, Trophic classification of Colorado lakes utilizing contact [E79-10056] pOOlO N79-13463 data. Landsat and aircraft-acquired multispectral scanner MOFFETT FIELD. CALIF. Large Area Crop Inventory Experiment (LACIE). Effects An analysis of aircraft requirements to meet United States data p0034 A79-15132 of non-response including cloud cover on aggregation of Seasat A. Oceanography today Department of Agriculture remote sensing goals pOOOl A79-11388 wheat area in the US Great Plains [NASA-CR-158064] pOO31 N79-15371 [E79-10057] pOOlO N79-13464 JOINT PUBLICATIONS RESEARCH SERVICE. NATIONAL AERONAUTICS AND SPACE Large Area Crop Inventory Experiment (LACIE). LACIE ARLINGTON. VA. ADMINISTRATION. EARTH RESOURCES LAB., crop calendar test and evaluation plan Ocean observation from space p0031 N79-13995 SUDEU. LA. [E79-10058] p0010 N79-13465 Application of space remote sensing technology to living Large Area Crop Inventory Experiment (LACIE). marine resources in coastal zones LANDSAT 3X gain study K (lAF PAPER 78-IIOJ pO029 A79-11248 (E79-10059) pOOlO N79-13466 NATIONAL AERONAUTICS AND SPACE LACIE transition project. FY 1978-1979: Reanalysis ADMINISTRATION. GODDARD SPACE FLIGHT of CCEA 1 US Great Plains wheat yield models KANSAS STATE GEOLOGICAL SURVEY. LAWRENCE. CENTER. GREENSELT. MD. [E79-10062] pO010 N79-13469 The origin of surface lineaments in Nemaha County, A reduction in ag./residential signature conflict using Large Area Crop Inventory Experiment (LACIE). Detecting Kansas principal components analysis of Landsat temporal data and monitoring agricultural vegetative water stress over [PB-287302/4] p0023 N79-15394 p0017 A79-11669 large areas using LANDSAT digital data KANSAS UNIV. CENTER FOR RESEARCH. INC.. Multispectral remote observations of hydrologic features IE79-10063) pOOlO N79-13470 LAWRENCE. on the North Slope of Alaska pO033 A79-11672 Independent Peer Evaluation of the Large Area Crop A comprehensive data processing plan for crop calendar A system concept for wide swath constant incident angle Inventory Experiment (LACIE): The LACIE Symposium MSS signature development from satellite imagery: Crop coverage pO042 A79-15744 [E79-10009] pOOU N79-14430 identification using vegetation phenology Monitoring gypsy moth defoliation by applying change An independent evaluation by the plenary peer review IE79-10001] pO007 N79-13424 detection techniques to Landsat imagery team pOOl 1 N79-14431 pO004 A79-17887 Findings of the experiment results peer group Remote sensing of surface soil moisture pOOII N79-14432 pO034 A79-20134 Findings of the experiment design peer group Post LANDSAT D advanced concept evaluation pO011 N79-14433 p0049 N79-10096 Findings of the system implementation and operations LAMONT-DOHERTY GEOLOGICAL OBSERVATORY, Mineral precipitation in north slope aufeis peer group pOOl 1 N79-14434 PALISADES. N. Y. [NASA-TM-796421 pO026 N79-10502 Findings of the data processing systems design peer Mapping ocean tides with satellites - A computer LANDSAT 3 world standard catalog. 1-31 August group pO011 N79-14435 simulation p0038 A79-18324 1978 Findings of the USDA applications test system peer LOCKHEED ELECTRONICS CO.. HOUSTON. TEX. I NASA-TM-7 9492) pO039 N79-1348) group p0011 N79-14436 Secondary error analysis: The evaluation of analyst dot LANDSAT 2 world standard catalog. 1-31 August Findings of the LACIE supporting research peer group labeling 1978 pOOII N79-14437 [E79-10011] p07 N79-12527 (NASA-TM-79491J p0039 N79-13482 Severe storm environments: A Skylab EREP report Generation of uniform chromaticity scate imagery from LANDSAT 3 world standard catalog. 1-30 September {E79-10027) p0044 N79-14438 LANDSAT data 1978 Severe storm experiment summary pOO44 N79-14439 [E79-10033] pO039 N79-1344O (NASA-TM 79887] pO040 N79-14502 Derived water temperatures using S191 and S192 Nationwide forestry applications program: LANDSAT 2 world standard catalog. 1-30 September data p0044 N79-1444O Ten-Ecosystem Study (TES) site 3, St. Louis County, 1978 Inversion of S191 data into temperature and water vapor Minnesota [NASA-TM-79886J p0040 N79-14503 profiles p0044 N79-14441 IE79-10034) pOOOS N79-13441 LANDSAT world standard catalog. LAND SAT-3 The variations! analysis of June 11,1973, meteorological data p0044 N79-14442 Detection and mapping package. Analyst's guide; [NASA-TM-79968] p0040 N79-15372 The correlation of Skylab L-bgnd brightness temperatures interpreting impounded surface water LANDSAT 2 world standard catalog. 1-31 October with antecedent precipitation pO044 N79-14443 [E79-10067] pO036 N79-15347 1978 Soil moisture study using the S193 radiometer Nationwide forestry applications program. A literature [NASA-TM-79900] pO040 N79-15381 LANDSAT 3 world standard catalog, 1-30 November pO044 N79-14444 review of major remote sensing projects mapping forest SI 93 scatterometer correlation with soil moisture land in the United States, using satellite data and automatic 1978 [NASA-TM-BO018] pO040 N79-15382 pO045 N79-14445 data processing Rectification of a whole-sky photograph as a tool for [E79-10072) pO016 N79-15351 LANDSAT 2 world standard catalog. 1-30 November 1978 determining spatial positioning of cumulus clouds Analysis of principal component transformed LANDSAT [NASA-TM-79899] pO040 N79-15383 pO045 N79-14446 data NATIONAL AERONAUTICS AND SPACE Severe storm cloud-top characteristics IE79-10076] p0040 N79-15355 ADMINISTRATION. LYNDON B. JOHNSON SPACE p0045 N79-14447 Test and evaluation of principal component cluster images CENTER. HOUSTON. TEX Remote sensing of atmospheric water vapor in LACIE Large Area Crop Inventory Experiment (LACIE). LACIE pOO45 N79-14448 [E79-10077] p0016 N79-15356 phase 3 analyst field trip plan Proceedings of Plenary Session: The LACIE LOCKHEED ELECTRONICS CO., INC., LAS VEGAS. [E79-10041] pOOOS N79-13448 Symposium NEV. Large Area Crop Inventory Experiment (LACIEf. LACIE IE79-I0028) pOOIl N79-14449 Remote monitoring of coal strip mine rehabilitation transition year operations plan The status of existing global crop forecasting [PB-286647/3] pOO27 N79-15379 [E79-10042] p0009 N79-13449 p0012 N79-14450 Large Area Crop Inventory Experiment (LACIE). LACIE LACIE: An experiment in global crop forecasting phase 3 interim accuracy assessment plan p0012 N79-14451 (E79-10O43) pOOO9 N79-13450 LACIE applications evaluation system: A design M Large Area Crop Inventory Experiment (LACtE). LACtE overview pO012 N79-14452 phase 3 accuracy assessment plan The LACIE supporting research program: A focused MAX-PLANCK-INSTITUT FUER METEOROLOGIE. [E79-10044] pOO09 N79-13451 approach to research and development HAMBURG (WEST GERMANY). Large Area Crop Inventory Experiment (LACIE). LACIE pO012 N79-14453 Measurement of ocean wave heights using the Geos 3 integrated drought plan Data processing systems in support of LACIE and future altimeter pO04l A79-11767 [E79-10045) p0009 N79-13452 agricultural research programs pOOI2 N79-14454 Large Area Crop Inventory Experiment (LACIE). Phase MICHIGAN STATE UNIV.. EAST LANSING. 1 accuracy assessment plan Technology transfer: Concepts, user requirements, and a practical application p0049 N79-14455 Michigan resource inventories - Characteristics and costs [E79-10O46] p0009 N79-13453 of selected projects using high altitude color infrared Large Area Crop Inventory Experiment (LACIE). Level The impact of LADE on a national meteorological imagery pOO37 A79-11384 3 baseline; LACIE Information Evaluation (IE) capability pO020 N79-14456 MINISTRY OF CONSTRUCTION, SEOUL (SOUTH implementation/operations plan The outlook for satellite remote sensing for crop KOREA). (E79-10047] pOO09 N79-13454 inventory pO012 N79-14457 Land use survey and mapping and water resources Large Area Crop Inventory Experiment (LACIEf. LACIE Briefing Materials for Technical Presentations. Volume investigation in Korea phase 2 accuracy assessment plan A: The LACIE Symposium (E79-1OOO3) pO035 N79-13425 [E79-10O48] pOOO9 N79-13455 [E79-10030] P0012 N79-14458 C-2 CORPORATE SOURCE INDEX WATER RESOURCES COUNCIL, WASHINGTON. D.C.

Experiment design session: Experiment design USOA Application Test System (ATS) session: Resource NORTH CAROLINA STATE UNIV. AT RALEIGH. overview p0012 N79-14459 modelting. a reality for program cost analysis The ecology of four coastal lakes in North Carolina: Experiment design session: Sampling and aggregation pOO15 N79-14498 Trophic states measured from space imagery in LACIE p0012 N79-14460 Large Area Crop Inventory Experiment (LACIE). Review pOO34 N79-12523 Experiment design session: Growth stage estimation of LACIE methodology, a project evaluation of technical NORTH DAKOTA WATER RESOURCES RESEARCH p0012 N79-14461 acceptability INST.. FARGO. [E79-10069] pOOIS N79-15348 Experiment design session: Wheat yield model The inventory and distribution of water and associated Large Area Crop Inventory Experiment (LACIE). Level development p0012 N79-14462 land resources in the Garrison/Devils Lake Region of ND: 3 baseline: Classification And Mensuration Subsystem An application of resource data acquired Experiment design session: Classification and (CAMS) requirements, volume 2, revision E [PB-286091/4) p0036 N79-14525 mensuration approach p0012 N79-14463 [E79-10070) pOOIS N79-15349 Experiment design session: Accuracy assessment, the Large Area Crop Inventory Experiment (LACIE). statistical approach to performance evaluation Yield-weather regression models for the Canadian prairies p0013 N79-14464 IE79-10071) p0016 N79-15350 System implementation and operations session: The Large Area Crop Inventory Experiment (LACIE). Level LACIE Application Evaluation System (AES). a design 3 baseline; system performance evaluation, report PENNSYLVANIA STATE UNIV., UNIVERSITY PARK. overview pO013 N79-14465 integration (SPE-RI) requirements, volume 6-B A reduction in ag./residential signature conflict using System implementation and operations session: [E79-10073) pOO16 N79-15352 principal components analysis of Landsat temporal data Acquisition and preprocessing of LANDSAT data A determination of the optimum time of year for remotely pOO17 A79-11669 p0013 N79-14466 classifying marsh vegetation from LANDSAT multispectral Applications of HCMM satellite data to the study of urban System implementation and operations session: scanner data heating patterns Classification and mensuration, an approach to LANDSAT [E79-10084] p0036 N79-15362 (E79-10040J p0020 N79-13447 data analysis for crop identification p0013 N79-14467 The Large Area Crop Inventory Experiment (LACIE). An PETROLEUM INDUSTRY RESEARCH FOUNDATION. application of remote sensing by multispectral scanners System implementation and operations session: INC.. NEW YORK. [E79-10091] p0016 N79-15369 Implementation and operation of yield forecasting and crop Outlook for world oil into the 21st century with emphasis NATIONAL AERONAUTICS AND SPACE growth stage estimation P0013 N79-14468 on the period to 1990 ADMINISTRATION. LA NO LEV RESEARCH CENTER. [EPRI-EA-745) pOO49 N79-11454 System implementation and operations session: System HAMPTON. VA. PURDUE UNIV., LAFAYETTE. IND. implementation and approaches used for generation of crop Quantitative mapping of paniculate iron in an ocean dump Forest resource information system production reports P0013 N79-14469 using remotely sensed data p0029 A79-11766 (E79-10010] p0007 N79-12526 System implementation and operations session: Advanced systems requirements for ocean observations Accuracy assessment, system implementation and via microwave radiometers Analysis of the effects of interpolation and enhancement operation p0013 N79-14470 [AIAA PAPER 78-1737) p0030 A79-13850 of LANDSAT-1 Data on classification and area estimation System implementation and operations session: LACIE Aircraft instrumentation system for the remote sensing accuracy AES efficiency report p0013 N79-14471 of carbon monoxide p0042 A79-15090 [E79-10038J pOOOS N79-13445 Data processing systems design session: Data processing Signature extraction of ocean pollutants by eigenvector systems overview p0013 N79-14472 transformation of remote spectra p0030 A79-15103 Data processing systems design session: Evolution of Laboratory studies of in vivo fluorescence of the Earth Resources Interactive Processing System phytoplankton pO030 A79-15119 OAST Space Theme Workshop. Volume 2: Theme (ERIPS) p0013 N79-14473 SCRVICIO GEOLOGICO DE BOLIVIA, LA PAZ. summary. 5: Global service (no. It). A. Statement. B. Data processing systems design session: Data base Bolivian program of satellite technology of earth 26 April 1976 presentation. C. Summary design considerations pO039 N79-14474 resources, ERTS (NASA-TM-80006] p0050 N79-151 18 [E79-10036] p0049 N79-13443 Data processing systems design session: Man-machine NATIONAL AERONAUTICS AND SPACE interface in LACIE ERIPS p0039 N79-14475 ADMINISTRATION. LEWIS RESEARCH CENTER. SOUTH DAKOTA STATE UNIV., BROOKINGS. Data processing systems design session: Very high speed CLEVELAND. OHIO. Remote sensing applications to resource problems in processing as related to pixel-dependent tasks Application of multispectral scanner data to the study South Dakota P0040 N79-14476 of an abandoned surface coal mine (E79-100891 pOO16 N79-15367 Data processing systems design session: The [NASA-TM-78912J pO027 N79-13472 SRI INTERNATIONAL CORP.. MENLO PARK. CAUF. cartographic laboratory p0013 N79-14477 NATIONAL AERONAUTICS AND SPACE A scene-analysis approach to remote sensing Data processing systems design session: Some cost ADMINISTRATION. MARSHALL SPACE FLIGHT [E79-100291 P0022 N79-13438 performance characteristics of several data system CENTER. HUNTSVILLE. ALA. STANFORD UNIV.. CALIF. configurations for processing remotely sensed data Eulusmap - An international land resources map utilizing Design and implementation of distortion-free P0040 N79-14478 satellite imagery compression techniques for LANDSAT data and television Data processing systems design session: Equipment llAF PAPER 78-124] p0021 A79-11259 images p0039 N79-13421 selection criteria for R and D image processing Sensor needs for agricultural applications STATE UNIV. OF NEW YORK. BUFFALO. p0040 N79-14479 |AIAA PAPER 78-1745] pO002 A79-13852 The blue-to-green reflectance ratio and lake water Briefing Materials for Technical Presentations, Volume Eulusmap: An international land resources map utilizing quality p0029 A79-11OOO B: The LACIE Symposium satellite imagery SWEDISH BOARD FOR SPACE ACTIVITIES. SOLNA. [NASA-TP-1371] p0022 N79-13475 IE79-10031] P0013 N79-14480 Swedish space activities during 1977 Experiment results session: LACIE crop years, an NATIONAL AIR AND SPACE MUSEUM. p0049 N79-11940 WASHINGTON, D. C. assessment of crop conditions . POO14 N79-14481 Experiment results session: Accuracy and performance Earth observations and photography experiment: Summary of significant results of LACIE estimates P0014 N79-14482 Experiment results session: Accuracy and performance [NASA-CR-157780J pO043 N79-10498 of LACIE yield estimates p0014 N79-14483 NATIONAL ENVIRONMENTAL SATELLITE CENTER. WASHINGTON, D. C. TECHNICOLOR GRAPHIC SERVICES, INC., SIOUX Experiment results session: Accuracy and performance FALLS. S. DAK. of LACIE crop development models p0014 N79-14484 Satellite activities of NOAA 1977 pO049 N79-12131 NATIONAL MARINE FISHERIES SERVICE. SEATTLE, A selective bibliography: Remote sensing applications Experiment results session: Economic evaluation; in land use and land cover inventory tasks concepts, selected studies, system cost, and a proposed WASH. Sea surface temperature distributions obtained off San [PB-283027/1) p0019 N79-10509 program p0014 N79-14485 A selected bibliography: Remote sensing applications Supporting Research and Technology (SRT) session: Diego, California, using an airborne infrared radiometer [PB-284736/6] pO030 N79-11647 for tropical and subtropical vegetation analysis Supporting research, a focused approach to research (PB-284683/Ol p0007 N79-12539 NATIONAL OCEANIC AND ATMOSPHERIC development P0014 N79-14486 TECHNISCHE HOCHSCHULE, DARMSTADT (WEST ADMINISTRATION. BOULDER, COLO. Supporting Research and Technology (SRT) session: GERMANY). Measurement of ocean wave heights using the Geos 3 Methods for segment wheat area estimation Geodetic high precision measurements in active tectonic altimeter p0041 A79-11767 P0014 N79-14487 areas p0022 N79-12503 Supporting Research and Technology (SRT) session: NATIONAL OCEANIC AND ATMOSPHERIC TECHNISCHE HOG E SCHOOL DELFT Manual identification of crop types p0014 N79-14488 ADMINISTRATION. WASHINGTON. D. C. (NETHERLANDS). Supporting Research and Technology (SRT) session: Icebergs for use as fresh water On potential uses of space techniques for applied Status of yield estimation technology, a review of {PB-285664/9] pOO35 N79-13485 geodesy p0022 N79-12485 second-generation model development NATIONAL TECHNICAL INFORMATION SERVICE. TEXAS A»M UNIV.. COLLEGE STATION. P0014 N79-14489 SPRINGFIELD. VA. A system concept for wide swath constant incident angte Supporting Research and Technology (SRT) session: Remote sensing applied to environmental pollution coverage p0042 A79-15744 Prediction of wheat phenological development, a detection and management. A bibliography with Dryland pasture and crop conditions as seen by HCMM state-of-the-art review p0014 N79-14490 abstracts [E79-10079) P0016 N79-15358 Supporting Research and Technology (SRT) session: New [NTIS/PS-78/0789/4] pO019 N79-10505 developments in sampling and aggregation for remotely Remote sensing applied to urban and regional planning. sensed surveys p0014 N79-14491 A bibliography with abstracts V USD A Application Test System (ATS) session: [NTIS/PS-78/0790/2J p0019 N79-10506 Technology transfer; concepts, user requirements, and their Remote sensing applied to geology and mineralogy. A practical application 0014 N79-14492 VOUGHT CORP.. HAMPTON, VA. P bibliography with abstracts USD A Application Test System (ATS) session: The Quantitative mapping of paniculate iron in an ocean dump [NTIS/PS-78/0791/0] p0026 N79-10507 application test system, an approach for technology using remotely sensed data p0029 A79-11766 transfer pOOIS N79-14493 Remote sensing of agricultural resources. A bibliography USDA Application Test System (ATS) session: Functional with abstracts definition and design of a USDA system [NTIS/PS-78/0969/2] p0007 N79-12536 W P0015 N79-14494 NAVAL RESEARCH LAB.. WASHINGTON. D. C. USDA Application Test System (ATS) session: ATS. Gulf stream ground truth project. Results of NR L airborne WASHINQTON UNIV.. ST. LOUIS. MO. technical approach and system design sensors A comparison of photointerpretive and digital production pQ015 N79-14495 IAD-A057420] p0043 N79-11639 methods for four key remote sensing-based information USDA Application Test System (ATS) session: Data NEVADA UNIV., RENO. products P0037 A79-11385 base design for a worldwide multicrop information system Preliminary runoff and streamflow predictions in the WATER RESOURCES COUNCIL WASHINGTON. O.C. pOOIS N79-14496 Humboldt River basin based on snow distribution The nation's water resources, the second national water USDA Application Test System (ATS) session: ATS measurements from sequential satellite imagery assessment, summary report experience to date and future plans p0015 N79-14497 [PB-286122/7] pO036 N79-14518 [PB-285746/4] p0035 N79-13483 C 3 WATER RESOURCES COUNCIL, WASHINGTON. D.C. CORPORA TE SOURCE INDEX

The nation's water resources, the second national water assessment. Pan 1; Introduction [PB-285747/2] p0035 N79-14512 The nation's water resources, the second national water assessment. Part 2: Water management problem profiles [PB-285748/OJ pO035 N79-14513 The nation's water resources, the second national water assessment. Part 3: Functional water uses [PB-285749/8] pO035 N79-14514 The nation's water resources, the second national water assessment. Part 4: Water supply and water quality considerations [PB-285750/6] p0035 N79-14515 The nation's water resources, the second national water assessment. Part 5: Regions) assessment summaries (PB-285751/4) p0036 N79-14516 The nation's water resources, the second national water assessment. Appendix B: Methodologies and socio-economic characteristics and patterns of change and water use and water supply data [PB-285815/7] p0036 N79-14517

C-4 CONTRACT NUMBER INDEX

Earth Resources/ A Continuing Bibliography (Issue 21) APRIL 1979

Typical Contract Number Index Listing

P0016 N79 15358

[ 1 NSF ENV-72-03399 p0042 A79- 15048 PAGE ACCESSION NSF ENV-76-14221 P0042 A79- 15048 NSF GA-32207 p0029 A79-11000 NUMBER NUMBER NSF GA-37768 P0029 A79-HOOO N79-15354 NSG-7236 P0031 N79-15357 idex are arranged alphanumeri- OWRTPROJ. A-064-NEVI1] p0036 N79-14518 OWRT PROJ A-071-NEVI1} 00023 N79-15508 t number. Under each contract SR PROJ. 4683 p0022 N79- 13438 number, the accession numbers denoting docu- ments that have been produced as a result of research done under that contract are arranged in ascending order with the AIAA accession numbers appearing first. The accession number denotes the number by which the citation is identified in the abstract section. Preceding the accession number is the page number on which the citation rnay be found.

AF-AFOSR-77-3170 pOO21 A79-18863 DA PROJ. 1T1-61102-BH-57 p0020 N79-15373 DA-ERO-77-G-044 P0020 N79- 15373 DAAG53-76-C-0067 p0038 A79-14197 DACW37-74-C-0043 p0033 A79-I1661 01-14-08-0001- 16439 P0019 N79-10509 p0007 N79- 12539 01-14-34-0001-7072 pO036 N79-14525 EPA-R-803971 pOOIS A79-15051 EPA-68-03-2636 p0006 A79- 17904 P0027 N79-15379 NASA ORDER S-40198-B P0016 N79-15359 NASA ORDER S-40255-B pOOOS N79- 13428 NASA ORDER S-53876-AG P0003 A79-17880 NASA ORDER W-13183 p0006 N79-10500 NASA 856-33-05-09-53 p0041 A79-11767 NASW-2558 pOOOl A79-11389 NASW-2865 p0022 N79- 13438 NASW-3043 P0043 N79-10497 NASW-3198 p0026 N79-10501 NASW-3199 p0027 N79-14501 NAS2-9580 p0049 N79- 10096 NAS5-20680 p0037 A79-11385 NAS5-20943 P0007 N79- 13424 NAS5-24383 P0016 N79- 15358 NAS6-2465 p0038 A79- 18324 NAS6-2827 p0039 N79- 13442 NAS7- 100 P0017 A79-11668 P0025 A79- 11857 p0034 A79-15132 NAS9- 12200 P0010 N79-13466 P0040 N79- 15355 NAS9- 13336 p0029 A79-11000 NAS9-13360 P0044 N79- 14443 P0044 N79- 14444 p0045 N79- 14445 P0045 N79- 14446 NAS9-13831 p0043 N79- 10498 NAS9- 1401 6 P0038 A79-14168 NAS9- 14970 ... pO038 A79-14168 pOOOS N79- 13445 NAS9- 15200 P0007 N79- 12527 p0039 N79- 13440 pOOOS N79- 13441 pOOlO N79-13463 pO036 N79- 15347 PO016 N79-1S351 p0016 N79-15356 NAS9- 15283 P0048 A79- 16554 NAS9- 1 5325 ... p0007 N79- 12526 NAS9- 15362 p0026 N79-11449 NAS9-15476 pOOOS N79-13444 NATO-SHG/AI P0041 A79-11767 NGL-05-O03-4O4 . pOOSO N79- 15361 NGL-15-O05-112 p0006 N79-11451 NGL-23-OO4-083 P0037 A79-11384 NGL-42-003-007 p0016 N79-15367 NOAA-03-7-208-35236 p0031 N79-11648 NOAA-03-O22-3S163 P0041 A79-11767 NRC-04-77-017 P0023 N79- 15394 NSF DES-75-16978 .... p0038 A79- 18324 D-1 REPORT/ACCESSION NUMBER INDEX

Earth Resources/ A Continuing Bibliography (Issue 21) APRIL 1979

Typical Report/Accession Number Index Listing

NASA MICROFICHE OOCUMEN SYMBOL SYMBOL "I

I 1 E79-1O026 p0031 N79-13437* ff INPE-1 147-PE/100 nOOO6 N79-1 1451* « NASA. CR 151860 ... D0016 N79 15356* f E79-1O027 p0044 N79- 14438*0 E79-10028 p0011 N79-14449* ff INPE-1222-PE/124 p0020 N79-15364* / E79- 10029 p0022 N79- 13438* |jl 1 f INPE-1225-PE/126 pOOOS N79-13431*/ REPORT Pf GE ACCESSION E79-10030 p0012 N79-14458* t E79-10031 p0013 N79-14480* # INPE-1 271-TPT/089 pOOOS N79-13432* ff NUMBER NUfl/1BER NUMBER E79- 10033 pO039 N79- 13440* jf INPE-1295-TPT/093 p0020 N79-15363* ff E79-10034 pOOOS N79-13441* |)l INPE-1298-TPT/095 p0020 N79-13430* i E79- 10035 p0039 N79- 13442* § INPE-1323-NTE/126 pOO49 N79-13434* / Listings in this index are arranged alphanumeri- E79- 10036 p0049 N79- 13443* |jl INPE-1325-PE/155 p0027 N79-13433* ff E79- 10037 pOOOS N79- 13444* | INPE-1325-PE/155 p0027 N79-I4501*( cally by report number. The page number indi- E79- 10038 pOOOS N79- 13445* # cates the page on which the citation is located E79-10039 p0027 N79-13448* |jl INPE-1327-PE/157 P0026 N79-10SOT t E79-10O40 pO020 N79- 13447* |jl INPE-1329-PE/159 pO039 N79-13429* / The accession number denotes the number by E79-10O41 pOOO8 N79-13448* § INPE-1345-AMD/001 . pO049 N79- 13468* j which the citation is identified. An asterisk I* E79- 10042 p0009 N79- 13449* if INPE-1349-NTE/131 p0031 N79-13437* || E79-1OO43 pOOO9 N79- 13450* |jl INPE-1359-PE/167 pOOOS N79-13436*|| indicates that the item is a NASA report. A E79-10O44 pOOO9 N79- 13451 * if INPE-1379-PE/176 p0031 N79-14712 \ pound sign (ft) indicates that the item is avail- E79-10O45 pOOO9 N79- 13452* jjl INPE-1380-PE/177 p0031 N79-14699 i E79-10O46 pOOO9 N79- 13453* j able on microfiche. E79- 10047 pOOO9 N79- 13454* if IS8N-0-643-OO314-2 pOO44 N79-12410 E79- 10048 p0009 N79-134S5* jf E79- 10049 pOOO9 N79- 13456* if JSC-09851 p0009 N79-13461* ft E79- 10050 pOOO9 N79- 13457* if JSC-09868 pOOlO N79- 13466* E79- 10051 pOOO9 N79- 13458* if JSC-09871 pOOlO N79-13465* E79- 10052 pOOO9 N79- 13459* |jl JSC-10812 pOO09 N79-13453* E79- 10053 pOOO9 N79- 13460* | JSC-10828 pOO09 N79-13452* AAS 78-019 oOO49 A79-17O78* E79-10054 pOOO9 N79-13461* if JSC-11327 pOO15 N79-15348* E79-10055 pO010 N79-13462* if JSC-11328 pOOlO N79-13462* AO-A057420 pOO43 N79-11639 ff E79-10056 . pOOlO N79-13463* ||l JSC-11330-VOL-2-REV-E pOOIS N79-15349* AO-A059993 O015 N79-14507 jf E79- 10057 pOOlO N79- 13464* if JSC-11339 pOOO9 N79-13454* P JSC-11658-REV-A pOO16 N79-15350* AO-A06O065 pO020 N79- 15373 f £79- 10058 p0010 N79- 13465* | E79-1O059 pOOlO N79-13466* JSC-11665 pOO09 N79-13455* E79-10060 p0010 N79-13467* JSC-11667 pO009 N79- 13459* •AIAA PAPER 78-1716 pOO48 A79- 13833 # E79- 10061 p0049 N79- 13468* JSC-11672 pO010 N79-13464* AIAA PAPER 78-1717 pOO41 A79- 13834 fi E79-10O62 pOOlO N79-13469* JSC-11677 p0009 N79-13456* AIAA PAPER 78-1719 p0018 A79-13835 f E79-10O63 pO010 N79-13470* JSC-11680 pOOOS N79-13448* AIAA PAPER 78-1720 PO048 A79-13836 | E79-10067 p0036 N79-16347* JSC-117O4 pOO09 N79-13449* AIAA PAPER 78-1721 PO030 A79- 13837 j/ E79- 10069 pOOIS N79- 15348* JSC-13729 pOOlO N79-13463* AIAA PAPER 78-1737 p0030 A79- 13850* if E79-10070 p0015 N79-15349* JSC-13733 pOO09 N79-13450* AIAA PAPER 78-1745 pOOO2 A79- 13852* |jl E79-10071 p0016 N79-15350* JSC-13737 pO010 N79-13470* E79-10072 p0016 N79-15351* JSC-13740 p0010 N79-13469* CCEA-TR-78-3 pOOtO N79-13469* ff E79-10073 p0016 N79-15352* JSC- 13743 pO009 N79- 13451* E79-I0075 pOOSO N79-15354* JSC-13970 pO036 N79-15347* CEEDO-TR-78-41 pO015 N79-14507 | E79-1O076 pOO40 N79-15355* JSC-13978 p0016 N79-153S1* E79- 10077 p0016 N79- 15356* JSC-14471 p0039 N79-13440* CIO-78/1 pO035 N79- 13485 # E79-10078 pOO31 N79-15357* JSC-14544 p0007 N79-12527* E79-10079 pOO16 N79-15358* JSC-14550 pOOII N79-14430* CSIRO-34 p0044 N79-12410 E79-10080 p0016 N79-15359* JSC-14551 pOOII N79-14449* E79-10081 p0027 N79-15360* JSC-14557-VOL-A pO012 N79-144S8* DGLR PAPER 78-147 pOOIS A79-14093 1 E79-10082 pOOSO N79-15361* JSC-14557-VOL-B pO013 N79-14480* E79- 10084 p0036 N79- 15362* DLR-IB-551-77/8 pO043 N79-11456 ff E79- 10085 p0020 N79- 15363* LACIE-CD00438 p0009 N79- 1 3459* DLR-IB-552-77/40 pO022 N79-11457 $ E79- 10086 p0020 N79- 15364* LACIE-CD00501 pOOlO N79-13462* DLR-IB-552-78/1 pO043 N79-11458 jf E79-10088 pOO16 N79-15366* E79-1OO89 p0016 N79-15367* LACIE-CO0200-VOL-2-REV-E pOOIS N79-15349* E-9647 p0027 N79-13472* ||l E79-10O91 p0016 N79-15369* LAQE-CO0602 p0009 N79-13460* LACIE-C00603 pO009 N79-13461* EPA-600/7-78-149 p0027 N79-15379 H LACIE-C00618 p0009 N79-13454* GSFC/LWC/2-78/09 P0040 N79-14503* GSFC/LWC/3-78/09 0040 N79-14502* EPRI-EA-745 pOO49 N79-11454 ff P LACIE-0020O-VOL-6-B pO016 N79-15352* GSFC/LWC2-78/08 pOO39 N79-13482* LACIE-00421 p0015 N79-15348* ERIM-130100-13-F pO026 N79-11449* 0 GSFC/LWC2-78/10 pOO40 N79-15381* LAOE-OO433-REV-A p0016 N79-15350* ERIM-132400-12-P pOOOS N79-13444* if GSFC/LWC2-78/11 pOO40 N79-15383* LAOE-OO441 pOOlO N79-13464* GSFC/LWC3-78/08 pOO39 N79-13481* LAOE-OO485 pOOlO N79-13463* ESA-TT-482 pOO43 N79-11456 LAOE-OO472 pOOlO N79-13469* ESA-TT-487 p0022 N79-11457 GSFC/LWC3-78/11 pOO40 N79-15382* LAO E -00500 pOOlO N79-13466* ESA-TT-494 pOO43 N79-11458 LACIE-OO506 pOOlO N79-13470* IAF PAPER 78-ST-01 pOOOl A79-11357 LACIE-OO600 pO009 N79-13457* E79-10001 pOOO7 N79- 13424* IAF PAPER 78-110 P0029 A79-11248* LACIE-OO60I pOOO9 N79-134S8* E79-10003 PO035 N79- 13425* IAF PAPER 78- 1 1 1 pOO25 A79-1 1249 LAC1E-O0608 p0010 N79-13465* E79-10007 pOOOS N79- 13428* LAC1E-00610 pOO09 N79-13453* E79-10009 p0011 N79-14430* IAF PAPER 78-116 pOOOl A79-11254 LAQE-O0613 pOOOS N79- 13452* E79-10010 p0007 N79-12526* IAF PAPER 78-1 17 pOO47 A79-11255 LACIE-00621 p0009 N79-13455* E79-1O011 p0007 N79-12527* LACIE-OO622 pOOO9 N79-13456* E79-10012 pO039 N79- 13429* IAF PAPER 78-119 p0017 A79-11257 LAOE-OO623 pOOOS N79-13448* E79-10013 pO027 N79-12528* IAF PAPER 78-121 p0021 A79-11258 LAaE-OO627 pOO09 N79-13449* E79- 10014 P0027 N79-12529* LACIE-O0628 pOOOS N79- 13450* E79-10015 pO020 N79- 13430* LAOE-O0630 pOO09 N79-13451* E79-10016 pO007 N79- 12530* IAF PAPER 78-126 pOO25 A79-11260 IAF PAPER 78-130 p0017 A79-11263 LARS-TR-1 10477 pOOOS N79-13445* E79-10018 pOOOS N79- 13431* IAF PAPER 78-148 pOO29 A79-11271 E79-10019 pOOOS N79- 13432* IAF PAPER 78-149 pOO41 A79-11272 LEC-9003 p0040 N79- 15355* E79-1O020 p0027 N79-13433* LEC-10052 pO016 N79-15356* E79-1O021 pOOO7 N79- 12532* LEC-11492 pOOlO N79-13463* INPE-1 119-PE/087 pOOOS N79-13435* 0 E79-10022 PO039 N79-12533* LEC-11867 pO039 N79- 13440* INPE-1 120-PE/088 p0039 N79-10812 * LEC-12131 p0016 N79-15351* E79- 10024 INPE-1 136-NTE/106 p0010 N79-13467* # LEC-12149 p0036 N79-15347* E79-10025 pOOOS N79-13436* INPE-1 146-PE/099 pOO26 N79-11450 j LEC-12262 pOOOS N79-13441* | E-1 REPORT/ACCESSION NUMBER INDEX

LEG- 12380 .... p0007 N79-12527* ff NOAA-TR-NMFS-SSRF-720 .... p0030 N79-11647 f,

M-271 p0022 N79-13475* ff NOAA-78060505 p0035 N79-12534 ff NOAA-78062601 pOOSO N79-11647 I NASA-CR-1 51383 pOOOS N79-13441* ft NOAA-780705 12 P0031 N79-11648 | NASA-CR-1 51832 p0007 N79- 12526* ff NASA-CR- 1 51837 p0039 N79-1344O* ff NRL-MR-3779 pOO43 N79-11639 ff NASA-CR- 151839 pOOOB N79- 13445* ff NASA-CR- 15 1840 pOOOS N79-13444*# NTIS/PS-75/O68 p0007 N79- 12536 pO026 N79-1 1449*0 NTIS/PS-75/668 p0007 N79-12536 NASA-CR-1 518*7 P0007 N79- 12527* ff NTIS/PS-76/0714 p0007 N79-12536 NASA-CR-1518S7 p0036 N79- 15347* ff NTIS/PS-77/0674 pO019 N79-10505 p0016 N79-1535l*jV NTIS/PS-77/0675 pO019 N79-10506 NASA-CR-1 5 1860 p0016 N79-15356* ff NTIS/PS-77/0676 pO026 N79-10507 NASA-CR-1 51861 p004O N79- 15356* f NTIS/PS-77/0867 pO007 N79-12536 NASA-CR- 156847 pO039 N79- 13442* ff NTIS/PS-78/0789/4 p0019 N79-10505 NASA-CR- 157780 p0043 N79-10498* f NT1S/PS-78/0790/2 p0019 N79-10506 NASA-CR- 157803 p0006 N79-11451* ji NT1S/PS-78/0791/0 P0026 N79- 10507 J NASA-CR- 157891 p0043 N79- 10497* ff NTIS/PS-78/0969/2 p0007 N79-12536 ( NASA-CR- 157896 p0007 N79- 13424* ff NASA-CR- 157898 p0035 N79- 13425* ff NTISUB/D/276-008 p0039 N79-13482* ff NASA-CR- 157899 pOOOS N79- 13428* ff NTISUB/D/276-009 pO040 N79-14503* 1 p0039 N79- 13429* ff NTISUB/D/276-O10 pO04O N79-15381* t NASA-CR- 157902 p0027 N79- 12528* ff NTISUB/D/276-01 1 p0040 N79- 15383* ff NASA-CR- 157903 p0027 N79-12529* ff NTISUB/D/277-008 p0039 N79- 13481* / p0020 N79- 1 3430* ff NT1SUB/D/277-O09 pO040 N79-14502*j0 NASA-CR-1 57905 p0007 N79- 12530*0 NTISUB/D/277-010 P0040 N79-15372*|)l p0044 N79- 12531* ff NT1SUB/D/277-01 1 p0040 N79- 15382*)) NASA-CR- 157907 pOOOS N79- 13431* J NASA-CR- 157908 pOOOS N79-13432* jf NUREG-CR-032 1 p0023 N79-16394 f, NASA-CR- 157909 p0027 N79- 13433* ff NASA-CR-157910 p0007 N79- 12532* ff OWRT-A-047-NDAKI1I pO036 N79- 14525 ( NASA-CR- 1 579 1 1 p0039 N79- 12533* ff NASA-CR-157912 p0049 N79- 13434* ff PB-283027/ 1 pO019 N79-10S09 NASA-CR-157913 pOOOS N79- 13435* ff PB-284164/1 p0035 N79- 12534 NASA-CR-157914 pOOOS N79- 13436* ff PB-284445/4 p0031 N79-11648 NASA-CR- 1579 15 p0031 N79-13437* ff PB-284683/0 p0007 N79- 12539 NASA-CR-157916 p0022 N79- 13438* ff PB-284736/6 P0030 N79-11647 NASA-CR- 1579 19 p0049 N79- 13443* ff PB-285664/9 p0035 N79- 13485 NASA-CR- 157926 p0027 N79- 13446*0 PB-285746/4 p0035 N79- 13483 | NASA-CR-1 57927 p0020 N79- 13447* ff PB-285747/2 P0035 N79-14512 f, NASA-CR- 157928 p0010 N79-13467* jf PB-285748/0 p0035 N79-14513 J NASA-CR- 157929 p0049 N79- 13468* PB-285749/8 p0035 N79-14514 / NASA-CR- 157968 pOOSO N79- 15354* PB-285750/6 P0035 N79-14515 i NASA-CR- 157971 p0031 N79-15357* PB-285751/4 p0036 N79-14516 | NASA-CR-157972 p0016 N79-15358* PB-285815/7 p0036 N79-14517 J NASA-CR-157973 p0016 N79- 15359* PB-286091/4 p0036 N79- 14525 ff NASA-CR- 157974 p0027 N79- 15360* PB-286 122/7 p0036 N79-14518 ( NASA-CR-157975 pOOSO N79-15361* PB-286647/3 P0027 N79- 15379 f, NASA-CR- 157977 . p0020 N79- 15363* PB-286969/1 p0023 N79- 15508 ff NASA-CR- 157978 ... p0020 N79- 15364* PB-287302/4 pO023 N79- 15394 fj NASA-CR- 157980 p0016 N79-15366* NASA-CR- 157981 pO016 N79-15367* PUB-AG-2 pO036 N79-14518 ff NASA-CR- 157983 .. P0016 N79-15369* NASA-CR- 1 58064 p0031 N79- 15371* PU 8-4 1051 p0023 N79- 15508 ff PUB-43005 pO036 N79-14518 / NASA-TM-58184 p0044 N79- 14438* NASA-TM-58212 p0036 N79- 15362* REPT-2 p0049 N79- 13443* / NASA-TM-75583 .... p0026 N79-10501* REPT-78-6 P0031 N79- 15357* { NASA-TM-75584 p0027 N79-14501* REPT-169 p0036 N79- 15362* | NASA-TM-78912 p0027 N79-13472* REPT-286-5 p0007 N79- 13424* • NASA-TM-79491 p0039 N79- 13482* NASA-TM-79492 p0039 N79- 13481* RSC-37 12-3 : P0016 N79-15358* ( NASA-TM-79642 p0026 N79- 10502* NASA-TM-79886 p0040 N79- 14503* SDSU-RSI-78-14 p0016 N79-15367* j NASA-TM-79887 p0040 N79- 14502* ff NASA-TM-79899 p0040 N79- 15383* ff SOA-76-328 p0049 N79-11454 jf NASA-TM-79900 pOO40 N79- 15381* j NASA-TM-79904 pOOII N79-14430* ff SSL-SER-19-ISSUE-53-VOL-1 .... pOOSO N79-15361* f, NASA-TM-79906 pOOll N79-14449*0 SSL-SER-19-ISSUE-64 pOOSO N79-15354* ff NASA-TM-79908 pOOOS N79- 13448* ff NASA-TM-79909 p0009 N79- 13449* ff WI-22 1-047-78 p0036 N79- 14525 | NASA-TM-79910 pO009 N79- 13450* ff NASA-TM-79911 p0009 N79-13451*0 W78-11336 p0036 N79-14518 / NASA-TM-79912 p0009 N79- 13452* ff W78-1 1373 P0036 N79- 14525 | NASA-TM-79913 p0009 N79- 13453* W78-12107 pO023 N79- 15508 | NASA-TM-79914 p0009 N79- 13454* NASA TM-79915 pOO09 N79- 13455* NASA-TM-79916 p0009 N79- 13456* NASA-TM-79917 P0009 N79- 13457* NASA-TM-79918 p0009 N79- 13458* NASA-TM-79919 p0009 N79- 13459* NASA TM-79920 p0009 N79- 13460* NASA-TM-79921 p0009 N79- 13461* NASA-TM-79922 pOOlO N79-13462* NASA TM-79923 pOOlO N79-13463* NASA-TM-79924 P0010 N79-13464* NASA-TM-79925 pOOlO N79-13465* NASA-TM-79926 pOOlO N79-13466* NASA-TM-79927 pOOlO N79-13469* NASA-TM-79928 pOOlO N79-13470* NASA TM 79929 pOOIS N79- 14480* NASA-TM-79930 p0012 N79- 14458* NASA-TM-79932 p0015 N79-15348* NASA-TM-79933 pOOIS N79-15349* NASA-TM-79934 p0016 N79-15350* | NASA-TM-79965 P0016 N79-15352* j NASA-TM-79968 p0040 N79-1S372* If NASA-TM-80O06 pOOSO N79-15118* ff

NASA TM-80O18 P0040 N79-15382* f

NASA-TP-1371 p0022 N79- 13475* ff

NASA-TT-F- 17065 P0006 N79- 10500* I

E-2 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. NASA SP-70^1 (21) 4. Title and Subtitle 5. Report Date EARTH RESOURCES April 1979 A Continuing Bibliography (Issue 21) 6. Performing Organization Code

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

IS. Supplementary Notes

16. Abstract

This bibliography lists 369 reports, articles, and other documents introduced into the NASA scientific and technical information system between January 1, 1979 and March 31, 1979. Emphasis is placed on the use of remote sensing and geophysical instrumentation in 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 and water management, data processing and distribution systems, instrumentation and sensors, and economic analysis.

17. Key Words (Suggested by Author(s)) 18. Distribution Statement B ibliographies Earth Resources Program Remote Snesors Unclassified - Unlimited

19. Security Qassif. (of this report) 20. Security Classif. (of this page) 21. No. of Pages 22. Price* £05 Unclass if led Unclassified 102 $9.00 HC

For sale by the National Technical I nformation Service, Springfield, Virginia 22161 NASA-Langley, 1979 NASA distributes its technical documents and bibliographic tools to ten special libraries located in the organizations listed below. Each library is prepared to furnish the public such services ao reference assistance, inter-library loans, photocopy service, and assistance in obtaining copies of NASA documents for retention. CALOFOKIRIIIA University of California. Berkeley Massachusetts Institute of Technology. Cambridge COLORADO MISSOURI) University of Colorado. Boulder Linda Hall Library. Kansas City DOSTROCT OF COLUMBIA Library of Congress Columbia University. New York PEMRJSVIVANOA Georgia Institute of Technology. Atlanta Carnegie Library of Pittsburgh ILLINOIS WASMORJGYOR3 The John Crerar Library. Chicago University of Washington. Seattle

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An extensive collection of NASA and NASA-sponsored documents and aerospace publications avail- able to the public for reference purposes is maintained by the American Institute of Aeronautics and Astronautics. Technical Information Service. 750 Third Avenue. New York. New York. 10017.

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 or microfiche of NASA and NASA-sponsored documents, those identified by both the symbols "ft" and "*", from: ESRO/ELDO Space Documentation Service, European Space Research Organization, 114, av. Charles de Gaulle. 92-Neuilly-sur-Seine. France. National Aeronautics and THIRD-CLASS BULK RATE Postage and Fees Paid Space Administration National Aeronautics and Space Administration NASA-451 Washington, D.C. 20546

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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 ' i 'V.-X -Engineering, design, and operation of *~ aircraft and aircraft components '" -1 ••' 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