Sixth Annual Symposium
on
Machine Processing
of Remotely Sensed Data

and

Soil Information Systems

and

Remote Sensing and Soil Survey

The Laboratory for Applications of Remote Sensing
Purdue University
West Lafayette, Indiana 47907 USA

June 3-6, 1980

Edited by P. G. Burroff and D. B. Morrison
Cover Design and Layout by S. L. Ferringer

Copyright © 1980
The Institute of Electrical and Electronics Engineers, Inc.

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CATALOG NUMBERS

IEEE CATALOG NUMBER 80CH 1533 - 9 MPRSD
LIBRARY OF CONGRESS CATALOG NUMBER 79-93130

IN MEMORIUM

This volume is dedicated to the memory of Ival D. Persinger (1935-1978), innovative and dedicated soil scientist.

Born and reared on a farm in Iowa, Ival Persinger came to appreciate early in life the importance of good management of our land resources. Immediately after completing his Bachelor of Science degree in Agronomy from Iowa State University in 1957, Ival was employed by the Soil Conservation Service (SCS) as a soil scientist. This employment was interrupted by two years of service in the U.S. Army, 1957-59. From 1959 until his untimely death on April 14, 1978, Ival Persinger had an outstanding career as a professional soil scientist with the SCS, including seven years in Iowa, seven years in Indiana and five years in Missouri.

As Assistant State Soil Scientist in Missouri (1972-1977), Ival played a pioneering role in the analysis and application of remote sensing data for preparation of land resouce and soil maps. He became one of the few distinguished soil scientists familiar with the application of remote sensing data to soil survey and mapping.

His professional and personal commitment and his sense of adventure prompted him in 1977 to accept a professional assignment in the Kingdom of Saudi Arabia. There as the Remote Sensing Specialist in the Ministry of Agriculture and Water, Persinger was charged with the introduction of a new and challenging technology, which was then essentially untried if not unknown in that country. Using an enhanced Landsat image mosaic of the country, he produced the first schematic soils map of an entire country that was based on Soil Taxonomy and which used Landsat image interpretation.

Altough Ival Persinger did not live to see the completion of the Saudi Project, his work was completed according to his exacting standards. Even today, soil survey activites, based on the principles that Persinger established, continue in Saudi Arabia.

The Kingdom of Saudi Arabia presented the Exceptional Service Award posthumously to Ival D. Persinger, the first American to be so honored.

The dedication, energy and creative spirit of Ival Persinger, who had close professional and personal ties with Purdue University and the Laboratory for Applications of Remote Sensing, will continue to inspire those who were privileged to know and work with him.

PREFACE

In the early stages of planning the Sixth Symposium on Machine Processing of REmotely Sensed Data, an invitation was extended to the International Society of Soil Science (ISSS) to be a cosponsor. In accepting the invitation ISSS assigned two specific Working Groups to participate -- the Working Group on Soil Informaiton Systems and the Working Group on Remote Sensing and Soil Survey.

Although these Proceedings reflect the special emphasis o the applications of remote sensing to soils, the totatl range of papers is broad, ocvering the general areas of data processing analysis, data processing systems, crop inventory, forestry, land use, soil survey and soil informaiton. The Plenary Sessions on the first day focus on the current and future need for land resource information, future Earth resource data acquisition systems, current soil informaiton systems, remote sensing and soil survey, and the future challenge of resource data storage, retrieval, analysis and utilization. The Closing Plenary Session highliights plans for the U.S. operational land satellite program, soil informaiton needs, non-federal information requirements and rewsearch priorities for the 1980's.

In addition to the formal presentations several optional half-day field trips are scheduled midway in the Symposium. These field trips feature field measurements (instrumentation and techniques), soil survey, soil informaiotn systems and data bases, electronics, and local history. Evening discussion session are also scheduled to stimulate a more direct intchagne of ideas on specific topics of interest.

The success of this Symposium may be largely attributed to the support and cooperation of the cosponsoring organizations and the valuable technical and organizational contributions made by program committee members and session chairpersons.

Symposium Chairman: Dr. Marion Baumgardner

Dr. Marion F. Baumgardner, B.S., Texas Technological College; M.S., Ph.D., Purdue University, joined Purdue Agronomy Department staff in 1961. After two years (1964-66) in Argentina with the Ford Foundation, Dr. Baumgardner joined the Laboratory for Applications of Remote Sensing. He often serves as consultant to several international development agencies with asignments in Africa, Asia, Latin America and Europe. He is a Danforth Associate and a Fellow of the American Society of Agronomy and the Soil Science Society of America. He is vice-chairman of the International Soil Science Society's Working Group on Remote Sensing and Soil Survey and is chairman of the U.S. Agricultural Research Institute's Study Panel on Remote Sensing.

Symposium Co-Chairman: Dr. Luis Bartolucci

Dr. Bartolucci received his B.S., M.S., and Ph.D. in Geophysics from Purdue University.   He has been involved in Remote Sensing research since 1969.   He has played an active role in the development of remote sensing technology applied to water resources and in the field of thermal infrared radiation.   Dr. Bartolucci has served as consultant to the U.S. Information Agency, the U.S. Agency for International Development, the Interamerican Development Bank and to several Latin American development agencies.   He as been Principal Investigator and Project Director of several domestic and international research and training programs involving computer-aided processing and analysis of remotely sensed data for earth resources inventories.   Dr. Bartolucci is currently Program Leader and Director of Training of the LARS educational and training program.

SPONSORSHIP

With special emphases on soils applications, the International Society of Soil Science joins in the sponsorship of the 1980 symposium. The complete roster of participating organizations is listed below:

COSPONSORS:
     AMERICAN SOCIETY OF AGRONOMY
     CROP SCIENCE SOCIETY OF AMERICA
     INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC.
            Computer Society
            Geoscience Electronics Working Group
     INTERNATIONAL SOCIETY OF SOILS SCIENCE
            Working Group on Remote Sensing and Soil Survey
            Working Group on Soil Information Systems
     SOCIETY OF AMERICAN FORESTERS
            Working Group on Remote Sensing
     SOIL CONSERVATION SOCIETY OF AMERICA
     SOIL SCIENCE SOCIETY OF AMERICA

IN COOPERATION WITH:
     NATIONAL AERONAUTICS AND SPACE ADMINISTRATION
     U.S. DEPARTMENT OF AGRICULTURE
     AMERICAN SOCIETY OF PHOTOGRAMMETRY

SYMPOSIUM PROGRAM COMMITTEE

MARION F. BAUMGARDNER, CHAIRMAN*
LUIS A. BARTOLUCCI, CO-CHAIRMAN
MARVIN E. BAUER*
SHIRLEY M. DAVIS
DONALD P. FRANZMEIER
ROGER M. HOFFER*
JAMES L. KAST*
FRANK R. KIRSCHNER
STEVAN J. KRISTOF
WILLIAM C. MOLDENHAUER
DOUGLAS B. MORRISON
JOHN B. PETERSON
TERRY L. PHILLIPS*
LEROY F. SILVA
GARY C. STEINHARDT*
PHILIP H. SWAIN*
RICHARD A. WEISMILLER*
JOSEPH E. YAHNER*

* Session Coordinators

Other symposium proceedings pages not included in the papers below.

TABLE OF CONTENTS

1.1  FIRST OPENING PLENARY SESSION

  1. Future Global Information needs for Land Resources. Rudy Dudal, Food and Agriculture Organization, Rome, Italy. Page 2. 1 page.
  2. Future Earth Observation Systems. Pitt G. Thome, NASA, Washington, D.C. Page 3. 1 page.
  3. A Survey of Soil Information Systems. Stein N. Bie, International Society of Soil Science, Oslo, Norway. Page 4. 1 page.

2.1   SECOND OPENING PLENARY SESSION

  1. New Opportunities in Soil Survey for Remote Sensing. Raymond Daniels, USDA/SCS, Washington, D.C. Page 6. 1 page.
  2. Processing, Storage, Retrieval and Analysis of Resource data in the Eighties. Ralph Bernstein, IBM Palo Alto Scientific Center, California. Page 7. 1 page.

3.1  DATA PROCESSING SYSTEMS

  1. A Transportable Executive System for Use With Remote Sensing Applications Software. Peter Van Wie, David Fishel and David Howell, NASA/Goddard Space Flight Center. Page 10. 9 pages.
  2. Parallel Processing Implementations of a Contextual Classifier for Multispectral Remote Sensing Data. Howard Jay Siegel, Philip H. Swain and Bradley W. Smith, Purdue University. Page 19. 11 pages.
  3. Automatic Processing of Computer Compatible Tapes with Data from Multispectral Scanners Installed in Landsat Satellites. Norberto Scquizzato, Comision Nacional de Investigaciones Espaciales, Argentina. Page 30. 10 pages.
  4. The Lulea Image Processing System (LIPS) - A Versatile Approach to Earth Resources Data Processing. Hans Hauska, University of Lulea, Sweden. Page 40. 6 pages.

    5. Short Papers
  5. A Software System for the Digital Enhancement and Classification of Multi-Emulsion Photographic Data. James Deigan, OPTRONICS International, Inc.; John Szajgin, Paul Bruns and Kurt Olson, University of New Hampshire. Page 47. 1 page.
  6. Earth Observations Division Landsat Imagery Preprocessing System. P.M. Hinson and C.H. Jeffress, Lockheed Engineering & Management Services. Page 48. 1 page.
  7. NASA's Applications Data Service. Jan Heuser, NASA, Washington, D.C. Page 49. 1 page.

3.2  SOIL SURVEY I

  1. Application of Multispectral Reflectance Studies of Soils: Pre-Landsat. S.J. Kristof, M.F. Baumgardner, R.A. Weismiller and S.M. Davis, Purdue University/LARS. Page 52. 11 pages.
  2. Utilization of Spectral Data During the Soil Survey of Jasper County, Indiana. F.R. Kirschner, B.F. Smallwood, H.R Sinclair, USDA/SCS; R.A. Weismiller, Purdue University/LARS. Page 63. 1 page. (no paper)

    Short Papers
  3. Delineation of Soil Boundaries Using Image Enhancement and Spectral Signature Classification of Landsat Data. M.L. Imhoff, G.W. Petersen, Pennsylvania State University; J.R. Irons, NASA/Goddard Space Flight Center. Page 64. 1 page.
  4. Correlation of Spectral Classes Derived from Landsat MSS Data to Soil Series and Soil Conditions for Jasper County, Indiana. E.J. Hinzel, Camp, Dresser and McKee, Inc.; R.A. Weismiller, Purdue University/LARS; F.R. Kirschner, USDA/SCS. Page 65. 1 page.
  5. Application of Multispectral Data in Developing a Detailed Soil Survey of Ford County, Illinois . L.M. Kiefer, E.E. Voss, F.R. Kirschner, USDA/SCS; R.A. Weismiller, S.J. Kristof, Purdue University/LARS; and L.J. Lund, University of California-Riverside. Page 66. 1 page.
  6. Development of Spectral Maps for Soil -Vegetation Mapping in the Big Desert Area, Idaho. L.J. Lund, University of California-Riverside; R.A. Weismiller and S.C. Kristof, Purdue University/LARS; F.R. Kirschner and D. Harrison, USDA/SCS. Page 67. 1 page.
  7. Application of Landsat Data on a Low Order Soil Survey in South Central Idaho. William D. Harrison, USDA/SCS. Page 68. 1 page.
  8. Geologic Interpretation of Remote Sensor Data for the Big Desert Area of Idaho. M. Poljak, D.W. Levandowski and R.A. Weismiller, Purdue University/LARS. Page 69. 1 page.

3.3  CROP INVENTORY I

  1. An Assessment of Landsat Data Acquisition History on Identification and Area Estimation of Corn and Soybeans. Marilyn M. Hixson, Marvin E. Bauer, Purdue University/LARS; Donna K. Scholz, EROS Data Center. Page 72. 6 pages.
  2. Crop Classification with a Landsat/Radar Sensor Combination. Robert Y. Li and Fawwas T. Ulaby, University of Kansas; J. Ronald Eyton, University of South Carolina. Page 78. 10 pages.
  3. Comparison of Landsat-2 and Field Spectrometer Reflectance Signatures of South Texas Rangeland Plant Communities. Arthur J. Richardson, David E. Escobar, Harold W. Gausman and James H. Everitt, USDA, SEA, AR, Soil and Water Conservation Research. Page 88. 10 pages.
  4. A Model of Plant Canopy Polarization Response. V.C. Vanderbilt, Purdue University/LARS. Page 98. 11 pages.
  5. Procedure M: A Framework for Stratified Area Estimation. Richard J. Kauth, Richard C. Cicone and William A. Malila, ERIM. Page 109. 10 pages.

    6. Short Papers
  6. The Auxiliary Use of Landsat Data in Estimating Crop Yields: Results of 1978 Iowa Feasibility Study. Richard Sigman and Greg Larsen, USDA/Economics, Statistics and Cooperatives Service. Page 120. 1 page.
  7. Mapping Growing Conditions of Crops from Landsat Data. P. Chagarlamudi and J.S. Schubert, Deloitte Haskins & Sells Associates, Canada; A.R. Mack, Agriculture, Canada. Page 121. 1 page.

3.4  SOIL INFORMATION I

  1. Soil Moisture Analysis for Soil Mapping. M. Fukuhara, S. Hayashi, Hokkaido National Agricultural Experiment Station, Hokkaido, Japan; Y. Yasuda, Y. Emori, Institute of Color Technology, Chiba University, Chiba, Japan; J. Iisaka, IBM Japan, Ltd., Japan. Page 124. 1 page. (no paper)
  2. Detection of Salinity from Landsat Data. M. Medina and F. Ramirez, Comision del Plan Nacional Hidraulico, Mexico. Page 125. 1 page.
  3. An Examination of the Overall Relationship between Spectral Reflectance and Chemical Composition of 58 Mine Tailings Samples. H. Schreier and L.M. Lavkulich, University of British Columbia, Canada. Page 126. 9 pages.

    4. Short Papers
  4. Computer-Based Soil Data Management System (COSMAS): Its Function and Use. T. Kosaki and K. Kyuma, H. Furukawa, Kyoto University, Japan. Page 135. 1 page.
  5. Computer Generated Interpretive Soil Maps from Soil Survey Data. S.G. Sykes and G.W. Petersen, Pennsylvania State University. Page 136. 1 page.
  6. A Soil Moisture Reflectance Model in Visible and Near IR Bands. John K. Park, NASA/Goddard Space Flight Center. Page 137. 1 page.
  7. Landsat as a Data Source in the Analysis of Soil Salinization on the Upper Nile. Daniel Cooper and Jerry C. Coiner, Hunter College. Page 138. 1 page.

4.1  DATA PROCESSING AND ANALYSIS I

  1. Radar Image Preprocessing. V.S. Frost, J.A. Stiles and J.C. Holtzman, University of Kansas; D.N. Held, Jet Propulsion Laboratory. Page 140. 7 pages.
  2. Lineament Mapping in Northern Sweden from Landsat Images Using Orthogonal Image Transforms. L. Christer Andersson and Hans Hauska, University of Lulea. Page 147. 11 pages.
  3. Maximum Likelihood Estimation of Label Imperfection Probabilities and Its Use in the Identification of Mislabeled Patterns. C.B. Chittineni, Lockheed Engineering and Management Services Company, Inc. Page 158. 13 pages.
  4. Context Distribution Estimation for Contextual Classification of Multispectral Image Data. James C. Tilton, Philip H. Swain And Stephen B. Vardeman, Purdue University. Page 171. 10 pages.

    5. Short Papers
  5. Correction of Atmospheric Effects on Landsat Data. M. Medina and F. Vazquez, Comision del Plan Nacional Hidraulico, Mexico. Page 181. 1 page.
  6. Texture Edge Detection by Propagation and Shrinking. Luciano V. Dutra and Nelson D.A. Mascarenhas, Instituto de Pesquisas Espaciais, Brasil. Page 182. 1 page.
  7. Estimation of Areas Under Different Cover Types by Spectral Stratification. K. Padmanabhan, K.L. Majumder and D.S. Kamat, Space Applications Center, India. Page 183. 1 page.
  8. A Hill-Sliding Strategy for Initialization of Gaussian Clusters in the Multidimensional Space. John K. Park, NASA/Goddard Space Flight Center; Yung H. Chen and Daryl B. Simons, Colorado State University; Lee D. Miller, Texas A&M University. Page 184. 1 page.

4.2  SOIL SURVEY II

  1. Stratification of Landsat Data by Uniformity Productivity of Soils. J. Schubert, P. Chagarlamudi, Deloitte Haskins and Sells Associates, Canada; J.A. Shields A.R. Mack, Agriculture Canada, Canada. Page 186. 9 pages.
  2. Interactive Processing of Landsat Image for Morphopedological Studies. D. Chaume, N.P. Thien, Scientific Center of IBM, France. Page 195. 10 pages.
  3. The Use of CIR and Airborne Multispectral Scanner Techniques for Wetland Soils Mapping of Highway Corridors. Alice E. Redfield, Dames and Moore; Kenneth S. Thom, General Electric Company. Page 205. 9 pages.
  4. Mapping Alpine Soils Using Color Positive and Color Infrared Photographs. Scott Burns, Dept. of Geology and Institute of Arctic and Alpine Research. Page 214. 7 pages.

    5. Short Papers
  5. Preparing a Schematic Soils Map of an Arid Area Using Landsat Imagery. R.H. Gilbert, U.S.D.A./SCS. Page 221. 1 page.
  6. Quantitative Comparison of Two Soil Maps Produced from Landsat Images and Aerial Photographs Respectively. P.K. Titriku, Soil Research Institute, Ghana. Page 222. 1 page.
  7. Soil and Land-Use Distribution Over a Part of the Indo-Gangetic Plain (N. India) Deduced from the Optical Interpretation of Landsat-2 Multispectral Imagery. H.S. Teotia and R. Gombeer, University of Louvain, Heverlee, Belgium. Page 223. 1 page.
  8. Digital Microdensitometric Analysis of Aerial Photographic Imagery for Detailed Soils Mapping. T.H. Mace, University of Wisconsin. Page 224. 1 page.

4.3  LAND USE I

  1. Utilization of Digital Ancillary Data in Satellite Land Use Mapping. Donna K. Scholz, EROS Data Center, Sioux Falls, SD; Richard A. Weismiller, Purdue University/LARS. Page 226. 1 page. (no paper)
  2. The Methodology of CIAT's Land Resource Study of Tropical America. Thomas T. Cochrane, CIAT (International Centre for Tropical Agriculture), Cali - Columbia. Page 227. 8 pages.
  3. Use of Landsat Digital Data to Assist in Mapping Soils on Arizona Rangelands. Emil H. Horvath, Donald F. Post, University of Arizona; Walter M. Lucas, Santa Fe National Forest; Richard A. Weismiller, LARS, Purdue University. Page 235. 6 pages.

    4. Short Papers
  4. Computer Aided Hydrologic Land Use Mapping Using Satellite and Aircraft Sensed Data: Indian Case Studies. S. Thiruvengadachari, National Remote Sensing Agency, India. Page 241. 1 page.
  5. The Preparation of Land Use, Land Cover and Prime Agricultural Land Maps for Rappahannock County, Virginia. V. Cheeseman, University of Denver. Page 242. 1 page.
  6. Land Surface Feature Delineation of Rural Central Java Region Using Data Enhancement Techniques Applied to Digitized Landsat MSS Data. Kamlesh Lulla, Abu Rahman, Paul Mausel, Indiana State University. Page 243. 1 page.
  7. A Remote Sensing and Geo-Based Information System Approach to the Assessment of Irrigation Development Potential. Gary E. Johnson, Thomas R. Loveland, William H. Anderson, EROS Data Center. Page 244. 1 page.
  8. Determination of Potentially Arable Land and Measurement of Non-Agricultural Uses for Nine Selected Areas in Africa. Irvin A. Goldblatt, Richard F. Hyde, Butler University. Page 245. 1 page.

4.4  SOIL INFORMATION II

  1. Description of a User-Oriented Geographic Information System: The Resource Analysis Program. Stephen E. Tilmann, Remote Sensing Project, Michigan State University; Delbert L. Mokma, Department of Crop and Soil Sciences, Michigan State University. Page 248. 11 pages.
  2. An Examination of Requirement for a Soils Resource Information System. David L. Anderson, Kim L. Stevens, Robert D. Heil, Colorado State University. Page 259. 7 pages.
  3. A Case Study of Soil Erosion Detection by Digital Analysis of the Remotely Sensed Multispectral Landsat Scanner Data of a Semi-Arid Land in Southern India. V. Guruswamy, c/o Chief Engineer (Groundwater) PWD., Madras - Tamil Nadu - India; Steve J. Kristof, Marion Baumgardner, LARS, Purdue University. Page 266. 7 pages.
  4. Development of a Digital Data Base for Reflectance-Related Soil Information. Eric R. Stoner, NASA/Earth Resources Laboratory, NSTL Station, Mississippi; Larry L. Biehl, Purdue University/LARS. Page 273. 7 pages.

    5. Short Papers
  5. Remote Sensing of Soil Moisture over Bare and Vegetated Fields by Microwave Radiometers. J. R. Wang, J. C. Shiue, T. J. Schmugge, NASA/Goddard Space Flight Center. Page 280. 1 page.
  6. Multitemporal and Multispectral Remote Sensing of Soils in Cultured Landscapes of North Germany. J. Eckardt, J. A. Jakob, J. Lamp, V. Wittje, Christian-Albrechts Univesity, West Germany. Page 281. 1 page.
  7. Soil Taxometrics: Results from a West-German Data Bank. J. Lamp, Christian-Albrechts University, West Germany. Page 282. 1 page.
  8. Using Soil Color/Reflectance in Predicting Soil Properties. Chris J. Johannsen, University of Missouri; Liovando M. dacosta, Universidade Federal de Viscosa, Brasil. Page 283. 1 page.

5.1  DATA PROCESSING AND ANALYSIS II

  1. Inventory Estimation on the Massively Parallel Processor. Peter D. Argentiero, James P. Strong, David W. Koch, NASA/Goddard Space Flight Center. Page 286. 8 pages.
  2. Calculation of Probability of Correct Classification of Two-Class Gaussian Classifiers with Arbitrary Hyperquadratic Decision Boundaries. Arthur G. Wacker, Talaat Salem El-Sheikh, University of Saskatchewan, Canada. Page 294. 9 pages.

    3. Short Papers
  3. Quantitative Use of Ancillary Data in Pixel Labeling. J. A. Richards, University of New South Wales, Australia; D. A. Landgrebe, P. H. Swain, Purdue Univesity/LARS. Page 303. 1 page.

5.2  APPLICATIONS TO FORESTRY

  1. Bulk Processing Techniques for Very Large Areas: Landsat Classification of California. Willard Newland, Technicolor Graphic Services, Inc.; David Peterson, Susan Norman, NASA/Ames Research Center. Page 306. 13 pages.
  2. Procedure 1 and Forestland Classification Using Landsat Data. Ross F. Nelson, NASA/Goddard Space Flight Center; Roger M. Hoffer, LARS/Purdue University. Page 319. 7 pages.
  3. Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat. William A. Malila, Environment Research Institute of Michigan. Page 326. 11 pages.

    4. Short Papers
  4. State of the Art of Landsat Classification Accuracy Assessment. Russell G. Congalton, Roy A. Mead, Virginia Polytechnic Institute and State University. Page 337. 1 page.
  5. Forest Stand Delineation from Unsupervised Classification of Optimal Landsat Spectral, Landsat Texture and Topographic Channels. Thomas L. Loga, Jet Propulsion Laboratory/California Institute of Technology; Alan H. Strahler, University of California. Page 338. 1 page.

5.3  LAND USE II

    Short Papers
  1. Digitization and Processing by Minicomputer of Large Regional Geological Maps and Ancillary Data on Mineral Resources. Andrea G. Fabbri, Geological Survey of Canada, Canada. Page 340. 1 page.
  2. Temporal Analysis of Landsat Data for Land Use Mapping. J. A. Shields, Agriculture Canada, Canada; C. Goodfellow, Canada Centre for Remote Sensing, Canada. Page 341. 1 page.
  3. Remote Sensing and Land Use Planning. Paul S. T. Lee, American Statistical Association and USDA. Page 342. 1 page.
  4. Land Use Potential Survey of the Sequenega Area of Upper Volta, Using Landsat Data. C. E. Seubert, S. J. Kristof, M. F. Baumgardner, Purdue Univeersity/LARS; R. Kissou, National Soil Service, Upper Volta; L. J. Lund, University of California-Riverside. Page 343. 1 page.

5.4  SOIL INFORMATION III

  1. Soil Moisture Sensing with Microwave Radiometers. Dr. Thomas Schmugge, NASA/Goddard Space Flight Center. Page 346. 9 pages.

    2. Short Papers
  2. The Maximum Likelihood Method for Estimating Argentine Crop and Soil Test Sites Using Remote Sensing Data. Dr. Jana Maria Cardoso, Lic. Mirta Aida Raed, C.N.I.E. Argentina. Page 355. 1 page.

5.5  CROP INVENTORY II

    Short Papers
  1. Fine Structure in the Spectral Reflectance of Vegetation and Soils. V. C. Vanderbilt, Purdue University/LARS; E. R. Stoner, Earth Resources Laboratory/National Aeronautics and Space Administration; L. L. Biehl, B. F. Robinson, R. A. Weismiller, M. E. Bauer, Purdue University/LARS. Page 358. 1 page.
  2. Variability of Reflectance Measurements Due to the Interaction of Row Azimuth and Solar Illumination Angle. J. C. Kollenkark, V. C. Vanderbilt, C. S. T. Daughtry, Purdue University/LARS. Page 359. 1 page.
  3. Variability of Reflectance Measurements with Sensor Altitude and Canopy Type. V. J. Pollara, C. S. T. Daughtry, V. C. Vanderbilt, B. F. Robinson, Purdue University/LARS. Page 360. 1 page.
  4. Relationship Between Scene Characteristics and Landsat Classification Performance of Corn and Soybeans. Getulio T. Batista, Marilyn M. Hixson, Marvin E. Bauer, Purdue University/LARS. Page 361. 1 page.

6.1  CLOSING PLENARY SESSION

  1. Research Agenda for the New Decade: A Better Understanding of the Agricultural Scene. Anson Bertrand, USDA, Washington, D.C.. Page 364. 1 page.
  2. Recent Activities in the Management and Processing of Satellite Acquired Earth Resource Data - A Report from the Geosat Committee. G. Wesley Rice, Conoco Inc., Oklahoma. Page 365. 1 page.
  3. Own Soil Information Systems. Donald E. McCormack, Gordon Decker, USDA/SCS, Washington D.C. Page 366. 1 page.

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