Tenth International Symposium
on
Machine Processing
of Remotely Sensed Data

with special emphasis on

Thematic Mapper Data and
Geographic Information Systems

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

June 12-14, 1984

Edited by M.M. Klepfer and D.B. Morrison

Copyright © 1984
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 84 CH 2025-5 MPRSD
LIBRARY OF CONGRESS CATALOG NUMBER 84-80223
ISBN CATALOG NUMBER ISBN 0-931682-17-7

PREFACE

Remote sensing is continually rising to new levels of sophistication and application throughout the world. The need for advances in this field is evident because the world is experiencing major environmental and resource problems. Degradation of environment and improper and inefficient use and distribution of resources continues to cause human distress on a global scale. Acquisition, storage, management and analysis of data relevant to solution of these problems which impact human progress are elements in which the remote sensing community has expertise and vital interest. This technical community has a great opportunity to aid in improving many world conditions through applications of remote sensing.

New sensors with features such as improved spectral and spatial resolution, greater variety of spectral bands, and more efficient data transmission/receiving characteristics are increasing the capability to provide data which, when analyzed, can provide information required to redress important world problems. Vast new quantities of information developed through remote sensing frequently are combined with other information sets and analyzed in combination using computer techniques. This approach promises not only to expand the need for more remote sensing-derived information, but to greatly improve the ability of such information to have impact on the solution of many world problems.

This symposium is fortunate to have authors from many parts of the world present papers which provide insight into improved methods of developing information through remote sensing and better applying this information developed by using geographic information systmes (GIS). One symposium emphasis is on Thematic Mapper (TM) data, which is a representative of newer, and in many ways improved, data for earth resource analysis. A second symposium theme is on the GIS which is a vital link between remote sensing developed information and its applications. The TM as well as other remotely sensed data, when effectively processed and analyzed using techniques such as those presented in papers throughout this symposium, provide a plethora of information. This information often can best be applied when it is analyzed in conjunction with other sets of information within an effective GIS. Thus, this symposium collectively emphasizes the utility and integration of new sources of remotely sensed data, along with the old within an applications context that increasingly needs to incorporate GIS approaches.

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 chairmen express their gratitude. A special word of thanks is extended to those who have been intimately involved in the preparation of these proceedings; namely Marilynn M. Klepfer, Susan L. Ferringer, Glenda C. Bauer and the symposium coordinator, Douglas B. Morrison.

Paul W. Mausel, Co-Chairman
Paul E. Anuta, Co-Chairman
1984 Symposium

 

Symposium Co-Chairmen

Paul E. Anuta

Paul E. Anuta is Associate Program Leader for Data Handling Research at the Laboratory for Applictions of Remote Sensing (LARS) at Purdue University. He received a B.S. in Electrical Engineering from Purdue Universiy in 1957, M.S.E.E. from the University of Connecticut in 1962, M.S. in Computer Science from Purdue in 1967, and is a doctoral candidate at Purdue. Mr. Anuta joined the LARS staff in 1967 and has researched data handling systems for a multispectral aircraft scanner system, interferometer spectrometer, and other sensors. He is responsible for research and evaluation of remote sensor data preprocessing techniques. Key data handling research areas are image registration, geometric correction, and resolution enhancement of satellite multispectral imagery. His current interests are in the area of multitype data integration and preprocessing and analysis methods. He is a member of Tau Beta Pi, Eta Kappa Nu, the Institute of Electrical and Electronics Engineers, and the American Society of Photogrammetry.

Paul W. Mausel

Dr. Paul W. Mausel is a professor of geography and director of the ISU Remote Sensing Laboratory (ISURSL) at Indiana State University in Terre Haute, Indiana. He received a B.A. (geography and chemistry) and an M.A. (geography) from the University of Minnesota and a Ph.D. (geography) from the University of North Carolina. Post graduate work in remote sensing has been conducted at LARS/Purdue University and the ITC/The Netherlands. He has published more than 50 articles and has five chapters in books in his area of expertise which focuses on remote sensing applications in land use, technology transfer and soils. Development and evaluation of non-parametric approaches to multispectral analysis has been a major interest of Dr. Mausel and numerous ISURSL colleagues. He has served two years as national chairperson of the Remote Sensing Specialty Group of the Association of American Geographers.

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
     Association of American Geographers
     National Aeronautics And Space Administration
     National Oceanic And Atmospheric Administration
     U.S. Department of Agriculture

Symposium Program Committee

Paul E. Anuta, Co-Chairman
Paul W. Mausel, Co-Chairman
Luis A. Bartolucci
Marion F. Baumgardner
Douglas B. Morrison
Terry L. Phillips

Session Chairmen

Paul E. Anuta
Anthony R. Barringer
Marion F. Baumgardner
Jeff Dozier
John E. Estes
Samuel N. Goward
John R. Jensen
Richard S. Latty
Kamlesh Lulla
R. B. MacDonald
William A. Malila
Paul W. Mausel
Douglas B. Morrison

Other symposium proceedings pages not included in the papers below.

TABLE OF CONTENTS

OPENING PLENARY SESSION: THEMATIC 1 MAPPER DATA UTILIZATION AND GEOGRAPHIC INFORMATION SYSTEMS

  1. Improved Information Systems: A Critical Need. J.E. Estes. Page 2. 7 pages.
  2. The NASA Land Processes Program: Status and Future Directions. R.E. Murphy. Page 9. 4 pages.
  3. Landsat 4 and 5 Status and Results from Thematic Mapper Data Analyses. V.V. Salomonson. Page 13. 6 pages.
  4. Merging Landsat-4 Digital Images with Cartographic Data Bases. R. Welch. Page 19. 1 page.

1. TM DATA QUALITY ANALYSIS

  1. Thematic Mapper Geometric Correction Performance Evaluation. J. Brooks, A. Jai, T. Keller, E. Kimmer, J. Su. Page 22. 7 pages.
  2. Thematic Mapper Radiometric Characterization. W.A. Malila, M.D. Metzler. Page 29. 10 pages.
  3. Algorithms for the Estimation of Failed Detector Data. B. Guindon. Page 39. 8 pages.
  4. Information Content Comparison of Thematic Mapper, Multispectral Scanner and Airborne Thematic Mapper Data. J.S. Buis, W. Acevedo, D.A. Alexander, R.C. Wrigley. Page 47. 2 pages.
  5. Comparison Between Multispectral Classification Accuracy of Landsat-4 MSS and TM in Hartford, CT and Miami, FL. S.L. Adams, R.G. McLeod. Page 49. 1 page.
  6. Single Class Stepwise Linear Discriminant Analysis of Landsat-4 Thematic Mapper Data. S.L. Adams, R.G. McLeod. Page 50. 1 page.

2. TRENDS IN GEOBOTANICAL REMOTE SENSING

  1. Summary of the NASA/Goddard Geobotanical Program. M.L. Labovitz, E.J. Masouka R. Bell. Page 52. 1 page.
  2. Spectrophotometry of the Chlorophyll Content in the Leaves of Plants. K.Ya. Kondratyev, L.A. Grinenko, V.V. Kozoderov, P.P. Fedchenko. Page 53. 3 pages.
  3. Mapping of Wolframite Region in the Sirohi District (Rajasthan) in India from Different Digitally Enhanced Data Products of Landsat. A.K. Gupta, V.R. Rao. Page 56. 6 pages.
  4. Remote Sensing of the Agrochemical Properties of Soils. K.Ya. Kondratyev, V.V. Kozoderov, P.P. Fedchenko. Page 62. 3 pages.

3. VEGETATIVE COVER ANALYSIS VIA REMOTE SENSING (PART I)

  1. Cold Temperature and Wavelength Intensity Indices Related to Citrus Stress. S.F. Shih, D.L. Myhre, G.J. Edwards, C.H. Blazquez. Page 66. 8 pages.
  2. The Utility of Thematic Mapper Sensor Characteristics for Surface Mine Monitoring. J.R. Irons, R.L. Kennard. Page 74. 10 pages.
  3. Use of the TM Tasseled Cap Transform for Interpretation of Spectral Contrasts in an Urban Scene. S.N. Goward, S.W. Wharton. Page 84. 8 pages.
  4. Evaluation of the Normalized Difference Vegetation Index with Thematic Mapper Data. E.M. Middleton, M.A. Anuta. Page 92. 2 pages.
  5. Collection of IN SITU Forest Canopy 94 Spectra Using a Helicopter: A Discussion of Methodology and Preliminary Results. D.L. Williams, C.L. Walthall, S.N. Goward. Page 94. 13 pages.

4. APPLICATIONS OF REMOTE SENSING FOR LAND COVER/LAND USE EVALUATION

  1. Application of Digital Image Enhancement Processing of Landsat Data for Terrain Mapping in Southern Huairou County of Beijing (Peking), China. S. X. Ni. Page 108. 9 pages.
  2. Impacts of High Resolution Data on an Operational Remote Sensing Program. J.A. Maslanik, C.R. Smith. Page 117. 8 pages.
  3. Efficient Large Area Digital Analysis Techniques for Inventorying Land Cover. M. Fleming. Page 125. 1 (no paper)
  4. Identifying Vegetative Land Use Classes During Each of the Four Seasons on Aerial Photographs and Landsat Imagery in Coastal South Carolina. K.O. Kelton, W.A. Shain, L.E. Nix. Page 126. 8 pages.
  5. Analysis Methods for Thematic Mapper Data of Urban Regions. S. C. Wang. Page 134. 10 pages.
  6. Multispectral Remote Sensing of Inland Wetlands in South Carolina: Selecting the Appropriate Sensor for the Task. J.R. Jensen, M.E. Hodgson, E.J. Christensen, H.E. Mackay, R.R. Sharitz. Page 144. 9 pages.

POSTER PAPER PRESENTATIONS

  1. Wetlands Classification Using Landsat Thematic Mapper Data Unsupervised Classification Approach. K.A. Richardson. Page 154. 5 pages.
  2. Estimation of Modulation Transfer Function of Landsat-4 Sensors from Measured Imagery. C.D. McGillem, P.E. Anuta, K. B. Yu. Page 159. 2 pages.
  3. A Device - Independent Interface for Image Display Software. D.C. Perkins, M.R. Szczur, J. Owings, R.K. Jamros. Page 161. 5 pages.
  4. The Utility of DEM Data as Compared to Landsat TM and Other Conventional Data Sources in Lineament Analysis. T.C. Kind, N.V. Weber. Page 166. 1 page.
  5. Digital Processing of Single-Band (33-6 GHz) Microwave Imagery for Sea Ice Classification. L.D. Farmer, D.T. Eppler. Page 167. 7 pages.
  6. TM vs. MSS Data for Crop Area Estimation. J.P. Zuttermeister. Page 174. 1 page.
  7. Spectral Response Curve Models Applied to Forest Cover-Type Discrimination. W.D. Hudson, D.P. Lusch. Page 175. 5 pages.
  8. Comparison of Classification Schemes for MSS and TM Data. P.E. Anuta, L.A. Bartolucci D.F. Lozano-Garcia, J.A. Valdes, C.R. Valenzeula. Page 180. 5 pages.
  9. SPOT Imagery: A Fourier-Based Approach to Panchromatic and Multispectral Data Integration. L. Borriello, T. Caroppo, V. Di Gennaro. Page 185. 1 page.
  10. Automatic Cloud Cover Assessment Using Thematic Mapper Data. J.J. Su. Page 186. 1 page.
  11. Numerical Analysis of Landsat MSS Data of the Colombian Coffee Growing Region. A. Zuluaga Ramirez, R.H. Mora Jara. Page 187. 1 page.
  12. Monte Carlo Simulation of the Bidirectional Reflectance Distribution Function of the Rice Paddy. H.T. Wang, L.Y. Chen. Page 188. 1 page.
  13. An Analytical Approach to Treat the Bidirectional Reflectance Distribution Function of the Rice Crop. A.J. Chen, C.C. Lin. Page 189. 1 page.
  14. An Initial Investigation into the Mapping of Seagrass and Water Color with CZCS and Landsat in North Queensland, Australia. D.B. van R. Claasen, D.L.B. Jupp, J. Bolton, L.D. Zell. Page 190. 2 pages.
  15. The Use of DEM Data for Generating 192 Shaded Relief, Stereo and Perspective Views of Satellite Acquired Data<. D.K. Scholz, S.W. Doescher J.W. Feuquay. Page 192. (no paper)

5. GIS CHARACTERISTICS, NEEDS AND APPLICATIONS

  1. Geographic Information Systems: Questions to Ask Before It's Too Late. J.L. Star, M.J. Cosentino, T.W. Foresman. Page 194. 4 pages.
  2. Issues in Designing Geographic Information Systems Under Conditions of Inexactness. V.B. Robinson, A.H. Strahler. Page 198. 7 pages.
  3. Region-Based Modeling Algorithms for Remotely-Sensed Data. M. Goldberg, M.L. Imhoff, E. Daddio. Page 205. 4 pages.
  4. Experiments to Integrate Thematic Mapper Data with Geographic Information Systems. D.G. Goodenough, K. Fung, J.J. Palimaka. Page 209. 1 page.
  5. An APL Geographic Information System. A. Remy-Pflucker. Page 210. 10 pages.
  6. Geocoding Isarithmic Maps with a Microcomputer. C. Aspiazu, J.C. Ribeiro, L. Mota Alves, G.A. Ribeiro. Page 220. 8 pages.

6. TM APPLICATIONS TO PHYSICAL COMPONENTS OF THE ENVIRONMENT

  1. Reflectance Measurements with Landsat Thematic Mapper over Rugged Terrain. J. Dozier. Page 230. 5 pages.
  2. Evaluation of Atmospheric Particulate Concentrations Derived From Analysis of Ratio Thematic Mapper Data. W.H. Carnahan, P.W. Mausel, G.P. Zhou. Page 235. 9 pages.
  3. Use of Thematic Mapper for Water Quality Assessment. E.M. Horn, L.A. Morrissey. Page 244. 9 pages.
  4. Spaceborne and Airborne Radar, Infrared and Thermal Studies of Coastal Processes at the Mississippi Delta, Louisiana. P.J. Mouginis-Mark, S. Zisk, C. Ferrall, L. Gaddis. Page 253. 7 pages.
  5. An Analysis of the Utility of Landsat Thematic Mapper Data and Digital Elevation Model Data for Predicting Soil Erosion. D.B. Gesch, B.I. Naugle. Page 260. 6 pagea.
  6. Utility of Some Image Enhancement Techniques for Reconnaissnce Soil Mapping - A Case Study from Southern India. R.S. Dwivedi. Page 266. 9 pages.

7. PRE-PROCESSING AND ANALYSIS TECHNIQUES (PART I)

  1. Experience with the Use of Supercomputers to Process Landsat Data. M. Ozga. Page 276. 5 pages.
  2. Analyzing Remotely Sensed Data on the Massively Parallel Processor. J.C. Tilton, J.P. Strong, III. Page 281. 8 pages.
  3. The Removal of Atmospheric Effects from Remotely-Sensed Near-Infrared Spectral Data. P.L. Blake, R.B. Singer. Page 289. 8 pages.
  4. Multiresolution Spatially Constrained Clustering of Remotely Sensed Data on the Massively Parallel Processor. J.C. Tilton. Page 297. 8 pages.
  5. Scene Segmentation Through Region Growing. R.S. Latty. Page 305. 10 pages.
  6. Adaptive Filtering and Image Segmentation for SAR Analysis. D.G. Goodenough, B. Guindon N.A. Swanberg, J.-F. Meunier. Page 315. 10 pages.

8. VEGETATION CHARACTERISTICS ESTIMATION

  1. Role of Vegetation in the Biosphere. D.B. Botkin, S.W. Running. Page 326. 7 pages.
  2. Techniques for the Estimation of Leaf Area Index Using Spectral Data. G.D. Badhwar, S.S. Shen. Page 333. 6 pages.
  3. Estimation of Leaf Area Index from Bidirectional Spectral Reflectance Data by Inverting a Canopy Reflectance Model. N.S. Goel, K.E. Henderson D.E. Pitts. Page 339. 9 pages.
  4. Spectral Estimates of Agronomic Characteristics of Crops. C.S.T. Daughtry, K.P. Gallo, G. Asrar, L.L. Biehl, B.L. Blad, B.R. Gardner, E.T. Kanemasu, J.M. Norman. Page 348. 3 pages.
  5. Assessing Biophysical Characteristics of Grassland From Spectral Measurements. R.L. Weiser, G. Asrar, G.P. Miller, E.T. Kanemasu. Page 357. 5 pages.
  6. Remote Sensing of the Leaf Area Index of Temperate Coniferous Forests. M.A. Spanner, K.W. Teuber, W. Acevedo, D.L. Peterson, S.W. Running, D.H. Card, D.A. Mouat. Page 362. 9 pages.
  7. Monitoring Global Vegetation Dynamics Using the NOAA/AVHRR. D.H. Greegor, Jr., J.R. Norwine. Page 371. 6 pages.

9. VEGETATIVE COVER ANALYSIS TECHNIQUES (PART II)

  1. Interception of Light by a Plant Canopy. A.J. Richardson. Page 378. 5 pages.
  2. Applied Geographic Information System Techniques for Assessing Agricultural Production Potential in Developing Countries: A Honduran Case Study. D.L. Mokma, S.G. Witter, G. Schultink. Page 383. 6 pages.
  3. Modelling Forest Biomass Accessibility in South Carolina with Digital Terrain Data. L.E. Nix, W.A. Shain, K.O. Kelton. Page 389. 6 pages.
  4. Discrimination of Tropical Forest Cover Types Using Landsat MSS Data. A. Singh. Page 395. 10 pages.

10. PRE-PROCESSING AND ANALYSIS TECHNIQUES (PART II)

  1. Seasonal Cloud Cover Variation of Landsat Data in Florida. S.F. Shih. Page 406. 6 pages.
  2. Evaluation of Local and Global Deformation Models for the Registration of Simulated SPOT Images. M. Fortin, P.T. Nguyen, W. Niblack, E. Boquet. Page 412. 9 pages.
  3. The NCSC Aerially-Deployed Soil Penetrometer (ADSP). J.L. Kirkland. Page 421. 11 pages.
  4. Registering Thematic Mapper Imagery to Digital Elevation Models. J. Frew. Page 432. 4 pages.
  5. Special User Service Projects at the Satellite Remote Sensing Centre. T.P. Boyle. Page 436. 7 pages.
  6. Automated Spectral Class Labeling. L.R. Tinney, J.E. Estes. Page 443. 2 pages.
  7. SPICE: Scatterplot Partitioning for Image Classification and Evaluation. L.R. Tinney, S.B. Brewster, Jr. Page 445. 5 pages.


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