Ninth International Symposium
on
Machine Processing
of Remotely Sensed Data

with special emphasis on

Natural Resources Evaluation

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

June 21-23, 1983

Edited by D.C. McDonald and D.B. Morrison
Cover design and layout by S.L. Ferringer

Copyright © 1983
by Purdue Research Foundation, West Lafayette, Indiana 47907. All Rights Reserved.
These papers are provided for personal educational use only,
under permission from Purdue Research Foundation.

CATALOG NUMBERS

IEEE CATALOG NUMBER 83 CH 1835-8 MPRSD
LIBRARY OF CONGRESS CATALOG NUMBER 82-83737
ISBN CATALOG NUMBER ISBN 0-931682-16-9

PREFACE

The number of international papers in this symposium tends to underscore the world-wide awareness of the importance of natural resources. The emphasis on natural resources in this symposium is timely as evidenced by the plethora of other conferences and meetings devoted primarily, if not exclusively, to this major topic of global concern. The literature may dichotomize resources into renewable and non-renewable categories; however, this division is not always appropriate and is often difficult to define.

The spectres of desertification, salinization, pollution, and erosion -- to name but a few examples of environmental degredation -- must be inventoried, assessed, and quantified if control measures are to be successfully implemented. The magnitude of the serious problem of resources depletion and environmental deterioration posed to the peoples of the world suggests that the role of remote sensing technology continues to be increasingly important.

The research, thought, and concern of the authors of these papers is an encouraging sign that future generations will not have lost these vital assets through default on the part of present day managers and stewards of these resources. It is incumbent on all symposium participants as well as other readers of these proceedings to press decision makers for continued efforts regarding assessment and preservation of natural resources. This symposium is dedicated to that end.

No symposium can be successful without the support of many unselfish interested people and organizations whose time, energy and cooperation is so essential in bringing such a conference to fruition. It is with grateful thanks to the cosponsors, the session chairpersons, the symposium committee and the authors that the chairman expresses his gratitude. 4 special word of thanks is extended to those who have been intimately involved in the preparation of these proceedings; namely Darlys C. McDonald, Susan L. Ferringer, Patricia A. Morgan, Glenda C. Bauer and the symposium coordinator, Douglas B. Morrison.

Richard A. Weismiller, Chairman
1983 Symposium

 

Symposium Chairman: Richard A. Weismiller

Richard A. Weismiller is Program Leader for the Earth Sciences Research Program Area at LARS. B. S., Agronomy, with Highest Distinction, Purdue University; M.S., Soil Mineralogy, Purdue University; Ph.D., Soil Chemistry-Clay Mineralogy, Michigan State University. He joined LARS in 1973 after four years in the USAF, serving as a research scientist, Civil Engineering Research Division, Air Force Weapons Laboratory, Kirtland AFB, New Mexico. During May 1974-July 1980 Dr. Weismiller served as Associate Program Leader for Earth Sciences Research at LARS. He is a member of Phi Eta Sigma, Alpha Zeta, and Sigma Xi honoraries, and the Soil Conservation Society of America. He is also listed in American Men and Women in Science. His publications are in the areas of remote sensing as related to soils and land use and infrared spectroscopy studies of clay minerals.

SPONSORSHIP

Cosponsors:
     American Society of Agronomy
     Crop Science Society of America
     Institute of Electrical And Electronics Engineers, Inc.
            Geoscience and Remote Sensing Society
     Society of American Foresters
     Soil Science Society of America

In Cooperation with:
     American Society of Photogrammetry
     National Aeronautics And Space Administration
     National Oceanic And Atmospheric Administration
     U.S. Department of Agriculture

Symposium Program Committee

Richard A. Weismiller, Chairman
Paul E. Anuta
Luis A. Bartolucci
Marvin E. Bauer
Marion F. Baumgardner
Roger M. Hoffer
Douglas B. Morrison
Richard P. Mroczynski
Terry L. Phillips
Philip H. Swain

Session Chairmen

Paul E. Anuta
Marion F. Baumgardner
Joseph K. Berry
Frederick C. Billingsley
Tina K. Cary
Shirley M. Davis
David G. Goodenough
George A. Hanuschak
Richard P. Heydorn
Nelson de Jesus Parada
Terry L. Phillips
Donna K. Scholz
Alan H. Strahler
William H. Wigton

Other symposium proceedings pages not included in the papers below.

TABLE OF CONTENTS

OPENING PLENARY SESSION: CURRENT RESOURCES: INFORMATION REQUIREMENTS FOR THEIR EVALUATION AND MANAGEMENT

  1. Information Requirements for Evaluation and Management of Land Resources. N.A. Berg. Page 2. 7 pages.
  2. Information Requirements for Evaluation and Management of Water Resources. R.M. Ragan. Page 9. 5 pages.
  3. Information Requirements for Evaluation and Management of Renewable Resources. R. Wood. Page 14. (no paper)
  4. Information Requirements for Evaluation and Management of Mineral and Petroleum Resources. R.J.P. Lyon. Page 15. (no paper)

1. IMAGE SCIENCE

  1. A Method for Describing a Three-Dimensional Shape. T.X. Lu. Page 18. 8 pages.
  2. An Algorithm for Interpolation of Digital Imageries Using Piece Wise Hypersurface Approximation. A.D. Kulkarni, K. Sivaraman. Page 26. 5 pages.
  3. A Successful Approach in Three-Dimensional Perception of Stereo LANDSAT-MSS Images Over Cordilleran Relief. R. Simard, V.G. Krishna. Page 31. 10 pages.
  4. Atmospheric Correction Analysis on Landsat Data Over the Amazon Region. L.A. Vieira Dias, J.R. dos Santos, A.R. Formaggio. Page 41. 5 pages.
  5. Fast Geometric Correction of NOAA AVHRR. Y. Tozawa. Page 46. 8 pages.
  6. Laboratory Simulated Microwave Remote Sensing Studies. K.K. Jha, K.P. Singh, R.N. Singh. Page 54. 8 pages.
  7. Estimation of a Remote Sensing System Point-Spread Function from Measured Imagery. C.D. McGillem, P.E. Anuta, E. Malaret, K.B. Yu. Page 62. 7 pages.

2. AGRICULTURAL APPLICATIONS OF REMOTE SENSING

  1. Remote Sensing Technology Transfer for Large Area Crop Condition Assessment. G.O. Boatwright, D.W. Goss, T.W. Taylor. Page 70. (no paper)
  2. Argentina-United Nations/78/016 Development Programme: A Remote Sensing Agriculture Forecast Programme. S.F. Pagel, N. Scquizzato. Page 71. 5 pages.
  3. Acquisition of Spectral Signatures of Crop Features in the Trenque-Lauquen Area. M.A. Raed. Page 76. 8 pages.
  4. Comparing Landsat Data with NRI Data for Accuracy and Estimating Soil Erosion Potential with Landsat Data and Digitized Soil Information. B.I. Naugle, J.D. Mikulcik, N.V. Weber, T.C. Kind, B. Hines, A.D. Weeks. Page 84. (no paper)
  5. Mapping and Monitoring Kelp Resources in Mexico. S. Arredondo G., B. Chapa D., J. Valdes A. Page 85. 9 pages.

3. NATURAL RESOURCE EVALUATION

  1. Vegetation Classification Using Satellite Imagery and Area Sampling Frame to Locate Sampling Stands. M.O. Olang. Page 96. 7 pages.
  2. Landuse Mapping and Change Detection with the Aid of Syntactic Approach. H. Shimoda, K. Fukue, Y. Kinosada, T. Sakata. Page 103. 8 pages.
  3. Mapping of Current Land Use and Land Cover in Alberta's Milk River Region. J.S. Marczyk, E.W. Karpuk, M.R. Rayner. Page 111. 1 page.
  4. Mapping Prime Timberland Using Landsat and Gridded Soil Data Bases W.H. Clerke, J.K. Dooley, J.L. Christensen. Page 112. 7 pages.
  5. Computer Analysis of X-Band Radar Data. D.J. Knowlton, R.M. Hoffer. Page 119. 9 pages.

4. FEATURE ANALYSIS AND TRANSFORMATION

  1. Segmentation of Remotely Sensed Data Using Parallel Region Growing J.C. Tilton, S.C. Cox. Page 130. 8 pages.
  2. Nonparametric Minimum Error Rate Feature Transformation with Application to Resource Classification. S. Arunkumar, R. Supnekar. Page 138. 8 pages.
  3. Optimal Landsat Transforms for Forest Applications. T.L. Logan, A.H. Strahler. Page 146. 8 pages.
  4. The Keys for Remote Sensing Education. J. Iisaka, K.M. Green, R.M. Ragan. Page 154. 6 pages.
  5. Generalized Texture Measures for Classification and Image Quality Assessment of Remote Sensing Images. J.C.A. Van der Lubbe. Page 160. 10 pages.
  6. Effects of Preprocessing Landsat MSS Data on Derived Features. T.M. Parris, R.C. Cicone. Page 170. 1 page.
  7. Incorporating Context in StochasticSegmentation of B&W Imagery Using Texture Operators. S. Goh, M.M. Trivedi, C.A. Harlow. Page 179. 6 pages.

5. INTERNATIONAL AND DOMESTIC TECHNOLOGY TRANSFER

  1. Results of a Course on Remote Sensing for Natural Resource Monitoring. A. Falconer, W. Wigton, D. Rebel. Page 186. (no paper)
  2. Remote Sensing Technology Transfer at the NASA Technology Application Center, University of New Mexico. R.W. Gonzales, M.A. Fink. Page 187. 4 pages.
  3. Peopleware: The Most Critical Component of a Successful Technology Transfer Program. S.M. Davis, L.A. Bartolucci, C.R. Valenzuela. Page 191. 3 pages.
  4. NASA Technology Transfer in the Southwest States: Arizona, Colorado, Nevada and Utah. S.D. Norman, D.L. Peterson. Page 194. 7 pages.
  5. Educating University Students in Remote Sensing: Issues and Approaches. S.E. Piper. Page 201. 5 pages.
  6. An Academic Environment for Computer-Assisted Map Analysis. J.K. Berry. Page 206. 1 page.

6. SCENE SIMULATION AND MODELING

  1. A Mathematical Model for Crop Spectral-Temporal Trajectories Based on a Plant Growth Model. T.L. Woolford. Page 208. 8 pages.
  2. Canonical Analysis for Crop Type Discrimination. T.M. Holm. Page 216. 1 page.
  3. An Effective Classification Method and Automated Result Testing Techniques for Differentiating Crop Types. G. Csornai, 0. Dalia, A. Kozics-Gothar, J. Vamosi. Page 217. 8 pages.
  4. Iron Oxide Genesis and Its Influence on the Spectral Reflectance Properties of Gossans. G. Accame, B.F. Robinson, L.L. Biehl. Page 225. 8 pages.

7. POSTER PAPER PRESENTATIONS

  1. Investigation of Landuse/Landcover Changes in Eastern Saudi Arabia. M.A. Khan, F. Ince, M. Ukayli. Page 234. 5 pages.
  2. Application of a U.S.-Based Analysis Approach to Argentina Crop Identification. J.B. Odenweller, C.M. Hay, B.L. Wood. Page 239. 5 pages.
  3. Computer-Assisted Map Analysis: Academic Structure and Experience. J.K. Berry. Page 244. 6 pages.
  4. AgRISTARS DCLC Applications Project: 1982 Winter Wheat Area Estimates for Colorado, Kansas and Oklahoma. J.W. Mergerson, V.B. Johnson, R.A. Kestle. Page 250. 6 pages.
  5. Monitoring Regional Wood Supplies with Landsat Classification and a Geographic Information System. E.P. Odenwalder, B.M. Shelley, G.R. Barker, F.E. Goodrick. Page 256. 1 page.
  6. Detection of Iron Ore at Wadi El-Muweih Area Due West Of Quseir, Egypt Using Digital Processing of Landsat Data. M.E. Habib, N.A. Sharara. Page 257. 6 pages.
  7. Utility of Some Image Enhancement Techniques for Reconnaissance Soil Mapping - A Case Study From India. R.S. Dwivedi. Page 263. 1 page.

8. IMAGE ENHANCEMENT

  1. Local Adaptive Enhancement: A General Discussion and Fast Implementations. E.C. Driscoll, Jr., C. Walker. Page 266. 6 pages.
  2. Edge and Linear Feature Enhancement by Kriging Filtering. K. Conradsen, G. Nilsson. Page 272. 7 pages.
  3. The Calibration of Landsat MSS Data as an Analysis Tool. L.A. Bartolucci, S.M. Davis. Page 279. 9 pages.

9. SUPERVISED AND UNSUPERVISED CLASSIFICATION

  1. Iterative Classification Using Automatic Training Data Selection. H. Shimoda, T. Hosomura, K. Fukue, K. Koide, T. Sakata. Page 290. 5 pages.
  2. A Flexible Clustering Procedure for Use in an Unsupervised Classification of Landsat Data. W.Y. Chen, W.G. Collins. Page 295. 8 pages.
  3. The Evaluation of the Spatial Accuracy of Computer Classification. S.E. Piper. Page 303. 8 pages.
  4. Category Analysis of the Classification Error Matrix. G.H. Rosenfield, K. Fitzpatrick-Lins. Page 311. 3 pages.
  5. Factorial Analysis of Correspondences Applied to Landsat Data. B.M. Rached. Page 314. 6 pages.
  6. The Effect of Feature Scaling on the Clustering of Landsat MSS Data. L.A. Bartolucci, S.M. Davis, P.H. Swain. Page 320. 9 pages.

10. THEMATIC MAPPER DATA PROCESSING

  1. The Role of Spatial, Spectral and Radiometric Resolution on Information Content. J.S. Buis, W. Acevedo, R.C. Wrigley, D.A. Alexander. Page 330. 9 pages.
  2. 7-1/2' Map-Image Extraction from Precision Processed Landsat Multispectral Scanner (MSS) and Thematic Mapper (TM) Imagery Using a Microcomputer and Original EROS CCTs. Y.K. Yang, L.D. Miller, T.D. Cheng. Page 339. 2 pages.
  3. Development of the JSC Thematic Mapper Quick-Look Preprocessing Capability. J.R. Gilbert. Page 341. 6 pages.
  4. Feature Selection Methodologies Using Simulated Thematic Mapper Data. M.E. Dean, R.M. Hoffer. Page 347. 10 pages.
  5. The Thematic Mapper Tasseled Cap - A Preliminary Formulation. E.P. Crist. Page 357. 8 pages.

11. GEOGRAPHIC INFORMATION SYSTEMS

  1. Statistics of Simulated Irregular Block Shapes from Remote Sensed Imagery for Digital Geographic Information Systems (GIS). M.C. Mueksch. Page 366. 8 pages.
  2. Bolivian Digital Geographic Information System. L.A. Bartolucci, T.L. Phillips, C.R. Valenzuela. Page 374. 15 pages.
  3. Regional Evapotranspiration Modeling of Oklahoma's Little Washita Drainage Basin. S.J. Walsh, S.J. Stadler. Page 389. 10 pages.
  4. Quantitative Planimetric Accuracy Assessment of the Oruro Landsat Digital Mosaic. C.E. Valenzuela, T.L. Phillips, L.A. Bartolucci, C.E. Brockmann. Page 399. 10 pages.
  5. Segmentation of Multi-Sources Images and Geocoded Data Management. R. Jeansoulin. Page 409. (no paper).

CLOSING PLENARY SESSION: REMOTE SENSING TECHNOLOGY'S ROLE IN PROVIDING RESOURCE INFORMATION IN THE FUTURE

  1. The Future of Remote Sensing: The Brazilian Perspective N.J. Parada. Page 412. (no paper)
  2. Factors Influencing the Future of the U.S. Remote Sensing System. T.M. Lillesand. Page 413. 1 page.
  3. The Future of Remote Sensing: The French Perspective. J. Gerard-Roussel. Page 414. (no paper)
  4. The Future: Global Ecology and Habitability of the Earth. C. Wood. Page 415. (no paper)

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