N ! a Earth Resources Acontinuing Bibliography with Indexes National Aeronautics and Space Administration NASASP-7041 (59) Novem

N ! a Earth Resources Acontinuing Bibliography with Indexes National Aeronautics and Space Administration NASASP-7041 (59) Novem

b Earth Resources NASASP-7041 (59) AContinuing November 1988 Bibliography 1I N!A with Indexes National Aeronautics and Space Administration s Earth Resourt 1 Earth Resource $rth Resources th Resources Ea Resources Eartl ~esou~Earth ACCESSION NUMBER RANGES Accession numbers cited in this Supplement fall within the following ranges. STAR (N-10000 Series) N88-20254 - N88-25430 IAA (A-10000 Series) A88-32797 - A88-45806 This bibliography was prepared by the NASA Scientific and Technical Information Facility operated for the National Aeronautics and Space Administration by RMS Associates. NASA SP-7041 (59) A CONTINUING BIBLIOGRAPHY WITH INDEXES Issue 59 I A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced between July 1 and September 30 in Scientific and Technical Aerospace Reports (STAR) International Aerospace Abstracts (IAA). 1 t Scientific and Technical Information Division 1988 cu/\sf\ National Aeronautics and Space Administration Washington, DC i This supplement is available from the National Technical Information Service (NTIS), Springfield, Vir- ginia 22161, price code A07. INTRODUCTION The technical literature described in this continuing bibliography may be helpful to re- searchers 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 instrumentationon orbiting spacecraft or on aircraft. This literature survey lists 518 reports, articles, and other documents announced between July 1 and September 30, 1988 in Scientific and Technical Aerospace Reports (STAR), and International Aerospace Abstracts (IAA). 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 in- terpretive techiques for gathering data are also included. All reports generated under NASA’s Earth Resources Survey Program for the time period covered in this bibliography are also included. The bibliography does not contain citations to documents dealing mainly with satellites or satellite equipment used in navigation or communication systems, nor with instrumentation not used aboard aerospace vehicles. The selected items are grouped in nine categories. These are listed in the Table of Contents with notes regarding the scope of each category. These categories were especially chosen for this publication, and differ from those found in STAR and IAA. Each entry consists of a standard bibliographic citation accompanied by an abstract. The citations include the original accession numbers from the respective announcement journals. 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 A88-10,000 in ascending accession number order; STAR entries identified by accession number series N88-10,000 in ascending accession number order. After the abstract section, there are seven indexes: subject, personal author, corporate source, foreign technology, contract number, report/ accession number, and accession number. iii TABLE OF CONTENTS Page Category 01 Agriculture and Forestry 1 Includes crop forecasts, crop signature analysis, soil identification, disease de- tection, harvest estimates, range resources, timber inventory, forest fire detec- tion, and wildlife migration patterns. Category 02 Environmental Changes and Cultural Resources 18 Includes land use analysis, urban and metropolitan studies, environmental im- pact, air and water pollution, geographic information systems, and geographic analysis. Category 03 Geodesy and Cartography 24 Includes mapping and topography. Category 04 Geology and Mineral Resources 25 Includes mineral deposits, petroleum deposits, spectral properties of rocks, geological exploration, and lithology. Category 05 Oceanography and Marine Resources 39 Includes sea-surface temperature, ocean bottom surveying imagery, drift rates, sea ice and icebergs, sea state, fish location. Category 06 Hydrology and Water Management 50 Includes snow cover and water runoff in rivers and glaciers, saline intrusion, drainage analysis, geomorphology of river basins, land uses, and estuarine studies. Category 07 Data Processing and Distribution Systems 57 Includes film processing, computer technology, satellite and aircraft hardware, and imagery. Category 08 Instrumentation and Sensors 68 Includes data acquisition and camera systems and remote sensors. Category 09 General 77 Includes economic analysis. Subject Index ....................................................................................................................... A-1 Personal Author Index ........................................................................................................ B-1 Corporate Source index ...................................................................................................... C-1 Foreign Technology Index ................................................................................................... D-1 Contract Number Index ....................................................................................................... E-1 Report Number index .......................................................................................................... F-1 Accession Number Index .................................................................................................... G-1 V TYPICAL REPORT CITATION AND ABSTRACT NASA SPONSORED 1 ON MICROFICHE ACCESSION NUMBER- N88-11204'# National Aeronautics and Space Administration. t.-- CORPORATE SOURCE Wallops Flight Center, Wallops Island, Va. Dept. of Geography. TITLE- CORRELATION BETWEEN AIRCRAFT MSS AND LIDAR REMOTELY SENSED DATA ON A FORESTED WETLAND IN SOUTH CAROLINA AUTHORS- JOHN R. JENSEN, MICHAEL E. HODGSON. HALKARD E. MAGKEY, JR. (Du Pont de Nemours, E. I. and Co.. Aiken, S.C ), and WILLIAM KRABILL 1987 42 p Presented at the Fall Convention of the American Society of Photogrammetry and Remote Sensing. Reno, Nev.. 4-9 Oct. 1987 Submitted for publication \ PUBLICATION DATE CONTRACT NUMBERS- (Contract DE-AC09-76%-00001) REPORT NUMBERS-- (NASA-TM-89643; NAS 1.1 539643; DE87-011229; DP-MS-87-15; CONF-871098-1) Avail: NTlS HC AO3/MF A01 CSCL 02F 4 COSATI CODE AVAILABILITY SOURCE Wetlands in a portion of the Savannah River swamp forest, the Steel Creek Delta, were mapped using April 26, 1985 high-resolution aircraft multispectral scanner (MSS) data. Due to the complex spectral characteristics of the wetland vegetation, it was necessary to implement several techniques in the classification of the MSS imagery of the Steel Creek Delta. In particular, when performing unsupervised classification, an iterative cluster busting technique was used which simplified the cluster labeling process. In addition to the MSS data, light detecting and ranging (LIDAR) data were acquired by National Aeronautics and Space Administration (NASA) personnel along two flightlines over the Steel Creek Delta. These data were registered with the wetland classification map and correlated. Statistical analyses demonstrated that the laser derived canopy height information was significantly correlated with the Steel Creek Delta wetland classes encountered along the profiling transect of the LIDAR data. DOE TYPICAL JOURNAL ARTICLE CITATION AND ABSTRACT NASA SPONSORED ACCESSION NUMBER - A88-13548' National Aeronautics and Space Administration Goddard lnst for Space Studies, New York, N Y TITLE -SEASONAL ALBEDO OF AN URBAN/RURAL LANDSCAPE FROM SATELLITE OBSERVATIONS AUTHOR -CHRISTOPHER L BREST (NASA, Goddard Institute for Space o AUTHOR'S AFFILIATION Studies, Sigma Data Services Corp , New York) Journal of Climate -JOURNAL TITLE and Applied Meteorology (ISSN 0733-3021), vol 26, Sept 1987. p 1169-1187 refs Using data from 27 calibrated Landsat observations of the Hartford, Connecticut area, the spatial distribution and seasonal variation of surface reflectance and albedo were examined Mean values of visible reflectance, near-IR reflectance, and albedo are presented (for both snow-free and snow-cover observations) according to 14 land use/land cover categories A diversity of albedo values was found to exist in this type of environment. associated with land cover Many land-cover categories display a seasonal dependence, with intracategory seasonal differences being of comparable magnitude to intercategory differences Key factors in determining albedo (and its seasonal dynamics) are the presence or absence of vegetation and the canopy structure Snow-cover/snow-free differences range from a few percent (for urban land covers) to over 40 percent (for low-canopy vegetation) IS vi EARTH

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