Seventh International Symposium
on
Machine Processing
Of Remotely Sensed Data

with special emphasis on

Range, Forest and Wetlands Assessment

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

June 23-26, 1981

Edited by P.G. Burroff and D.B. Morrison
Cover design and layout by S.L. Ferringer

Copyright © 1981
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 81CH 1637-8 MPRSD
LIBRARY OF CONGRESS CATALOG NUMBER 80-85518

PREFACE

These proceedings serve as the written record of the papers presented at the Seventh International Symposium on Machine Processing of Remotely Sensed Data, held at Purdue University, June 23-26, 1981. The text of 99 invited and contributed papers (including poster papers) are contained in this volume. We all recognize, however, that no written text can do an adequate job of recording the information exchange that takes place during coffee breaks, over mails or in the evening, as well as during the question and answer sessions after the papers. The Symposium was designed to allow for adequate exchange of information among the attendees at times other than during the formal presentations. The poster paper session on Tuesday evening, an informal barbeque at Fort Ouiatenon on Wednesday evening, and a discussion session Thursday evening helped to stimulate opportunities for informal discussions and exchanges of ideas and view points.

This 1981 Symposium focused attention on forest, range and wetland assessment. This theme was highlighted by opening and closing plenary sessions which addressed the topics of "Meeting Forest Information Needs Through Remote Sensing: What is the State-of the-Art?" and "Monitoring the World's Forest Resources: Today and Tomorrow." Between the opening and closing sessions, a series of three parallel technical sessions was held. The first of these series focused on forest resources and included sessions on the topics of "Effective Techniques for Classifying Forest Cover," "Classification and Accuracy Assessment Procedures," "Understanding and Characterizing the Forest Scene," and "Forest Resource Information Through Remote Sensing." The second group of sessions was directed at non-forestry applications and included sessions on "Agronomic Applications of Remote Sensing," "Wetlands and Water Resources assessment," and "Rangeland and Land Use Applications of Remote Sensing." The third series of sessions was directed at the machine processing aspects of remote sensing systems. It included sessions on "Preprocessing and Systems," "Image Data Modeling and Analysis," "Remote Sensing and Geo-referencing Information Systems." Three sessions during the week featured panel discussions in order to encourage audience participation and general discussion.

A large measure of the success of this Symposium goes to the co-sponsoring and cooperating organizations and to the members of the program committee and session chairmen who represented these groups. The cooperation, time and efforts of the various members of the Symposium Program Committee, as well as the session coordinators, session chairmen, and particularly the authors of the many fine papers presented are deeply appreciated. These people are congratulated for a job well done.

There was a total of 227 participants at this Symposium, including 51 from foreign countries. Thirty-three states within the U.S. and 15 foreign countries were represented. To facilitate further communication among participants of the Symposium and others who may wish to contact various authors or participants, we have included a list of the session chairmen, authors, and other participants on pages 711 through 723.

Roger M. Hoffer and Richard P. Mroczynski, Symposium Co-Chairmen

 

Symposium Co-Chairman: Roger M. Hoffer

Program Leader of the Ecosystems Research Programs, LARS, and Professor of Forestry, Department of Forestry and Natural Resources, Purdue University. B.S. in Forestry from Michigan State University; M.S. and Ph.D. in Watershed Management from Colorado State University. Dr. Hoffer has been involved full-time in remote sensing research and teaching since 1974, and was a cofounder of LARS in 1966. He teaches three different courses on Remote Sensing of Natural Resources and has served as principal investigator on Landsat, Skylab and several other major remote sensing projects Professor Hoffer is author or co-author of more that 120 scientific publications and papers on remote sensing. He has presented invited papers at international meetings throughout the world and spent several weeks as a remote sensing specialist in Brazil, Thailand, Afghanistan and Bolivia. He has been a consultant to several national and international agencies and has served on numerous technical panels at the request of NASA. Dr. Hoffer is a member of the Society of American Foresters, American Society of Photogrammetry (where he has served as the Associate Editor of Photogrammetric Engineering and Remote Sensing and as Director of the Remote Sensing and Interpretation Division), Sigma Xi, Xi Sigma Pi, and several other professional and honorary societies. He received the 1978 Alan Gordon Memorial Award in recognition of his pioneering work in the field of remote sensing, is a Certified Photogrammetrist, and is listed in American Men and Women in Science.

Symposium Co-Chairman: Richard P. Mroczynski

Associate Program Leader for Ecosystem Research Programs, LARS. B.S.F. in Forest Production and M.S. in Forestry, University of Illinois. Richard P. Mroczynski joined LARS in 1969 and has been involved with photointerpretation and Landsat Analysis. Richard has been principal investigator and manager of a number of projects which involved the inventory of natural resources. Significant among these have been projects with: NASA and the St. Regis Paper Company involving the development of a Forest Resource Information System: Ducks Unlimited (Canada) for a Water Fowl Habitat Inventory over 200,000 square miles in Canada; and a Derelict Land Survey for the Indiana Division of Reclamation. He is a member of the Society of American Foresters, active in that organization's Working Group on Photogrammetry and Remote sensing. In addition, he has served in various capacities with the American Society of Photogrammetry and is a member of the American Forestry Association and the American Management Association.

SPONSORSHIP

COSPONSORS:
     AMERICAN SOCIETY OF AGRONOMY
     CROP SCIENCE SOCIETY OF AMERICA
     INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC.
            Computer Society
            Geoscience and Remote Sensing Society
     SOCIETY OF AMERICAN FORESTERS
            Working Group on Remote Sensing and Photogrammetry
       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

ACKNOWLEDGEMENTS

The co-chairmen would like to take this opportunity to extend a special thanks to the following committee members without whose efforts and cooperation the symposium would not have been possible.

PROGRAM COMMITTEE

Roger M. Hoffer*
Richard P. Mroczynski*
Marion F. Baumgardner
Nevin Bryant
Lisette Dottavio
David G. Goodenough
Roy Mead
Frank Sadowski

SYMPOSIUM COORDINATION COMMITTEE

Roger M. Hoffer*
Richard P. Mroczynski*
Paul E. Anuta
Luis A. Bartolucci
Marvin Bauer
Marion F. Baumgardner
Pamela G. Burroff
Douglas B. Morrison
Terry Phillips
Philip H. Swain
Richard A. Weismiller

* Co-chairmen

Other symposium proceedings pages not included in the papers below.

TABLE OF CONTENTS

OPENING PLENARY SESSION (Meeting Forest Information Needs Through Remote Sensing: What is the State-of-the-Art?)

  1. Remote Sensing: Its Role in Meeting Information Needs. Richard S. Driscoll. Page 2. 5 pages.
  2. Applications of Remote Sensing Techniques to Update the Forest Inventory Data Base in British Columbia. F. Hegyi, R.V. Quenet. Page 7. 1 page.
  3. Resource Information Needs in Industry and the Role of Remote Sensing. G. Robinson Barker. Page 8. 1 page.

1.A.  Effective Techniques for Classifying Forest Cover

  1. The Role of Digital Terrain Models in the Remote Sensing of Forests. B. Guindon, D.G. Goodenough, P.M. Teillet. Page 10. 1 page.
  2. An Evaluation of ISOCLS and Classy Clustering Algorithms for Forest Classification in Northern Idaho. Lee F. Werth. Page 11. 8 pages.
  3. Alternative Approaches for Utilizing Landsat Data to Address Forest and Range Applications. Frank G. Sadowski. Page 19. 1 page.
  4. A Case for Standardized Test Sites. Charles E. Olson, Jr. Page 20. 5 pages.

1.B.  AGRONOMIC APPLICATIONS OF REMOTE SENSING

  1. Evaluation of USDA Large Area Crop Estimation Techniques. M.L. Amis, R.D. Lennigton, M.V. Martin, W.G. McGuire, S.S. Shen. Page 26. 10 pages.
  2. Evaluation of a Segment-Based Landsat Full-Frame Approach to Crop Area Estimation. M.M. Hixson, S.M. Davis, M.E. Bauer. Page 36. 9 pages.
  3. Crop Area Estimation Using Ground-Gathered and Sample Landsat Data. James W. Mergerson. Page 45. 7 pages.
  4. Spectrally Derived Inputs to Crop Yield Models. K.P. Gallo, C.S.T. Daughtry. Page 52. 14 pages.
  5. A Technique to Determine Which Crop Development Stages Can Be Estimated from Spectral Data. V.J. Pollara, V.C. Vanderbilt, C.S.T. Daughtry. Page 66. 10 pages.
  6. Crop Monitoring in Australia Using Digital Analysis of Landsat Data. Ken W. Dawbin, David W. Beach. Page 76. 5 pages.

II.A.  CLASSIFICATIN ACCURACY ASSESSMENT PROCEDURES

  1. Case Studies on Classification Accuracy Assessment. R.A. Mead. Page 82. (no paper)
  2. A Double Cluster Sampling Approach to Landsat Classification Accuracy Assessment. D.S. Linden, J. Szajgin. Page 83. (no paper)
  3. Techniques for Evaluation of Area Estimates. M.M. Hixson. Page 84. 7 pages.
  4. Statistical Tests and Interactive Displays of Landsat Classification Accuracies. R. Welch, Y. Hsu. Page 91. 2 pages.

II.B.  GEOLOGIC APPLICATIONS OF REMOTE SENSING

  1. Complete Lineament Extraction with the Aid o Shadow-Free Landsat Image. K. Fukue, H. Shimoda, T. Sakata. Page 94. 9 pages.
  2. A Lineament Enhancement Technique for Active Fault Analysis. H. Takahashi. Page 103. 10 pages.
  3. Extraction of Geological Lineaments from Landsat Imagery by Using Local Variance and Gradient Trend. S.R. Xu, C.C. Li, N.K. Flint. Page 113. 11 pages.
  4. Geologic Application of Landsat Imagery Enhanced by Topographic Data. Guy Rochon, Miodrag Roksandic. Page 124. 8 pages.
  5. Effects of Resolution versus Speckle in Spaceborne Radar Image Interpretation: A Geologic-User Based Analysis. J.P. Ford. Page 132. 7 pages.

II.C.  PREPROCESSING AND SYSTEMS

  1. Processing System Techniques For the 80's. Roger A. Holmes. Page 140. 5 pages.
  2. An Image Processing System. D.P. Rice, M.D. Metzler, O.O. Mykolenko. Page 145. (no paper)
  3. An Application of Large Scale Computing Facilities to the Processing of Landsat Digital Data in Australia. David W. Beach, Ken W. Dawbin. Page 146. 12 pages.
  4. A Development of Interactive Image Processing Software System TIPE. K. Fukue, H. Shimoda, T. Sakata. Page 158. 11 pages.
  5. Digital Correction of Solar Illumination and Viewing Angle Artifacts in Remotely Sensed Images. T. Shibata, W. Frei, M. Sutton. Page 169. 9 pages.
  6. The KARS Image Analysis System: A Low Cost Interactive System for Instruction and Research. T.H. Lee Williams, J. Siebert, C. Gunn. Page 178. 3 pages.
  7. Registration of Digital Imageries Using Optimization Technique. A.D. Kulkarni, B.L. Deekshatulu, K.R. Rao. Page 181. 7 pages.
  8. Data Compression of SAR/MSS Data Sets. K. Maeda, D.G. Goodenough. Page 188. 1 page.
  9. Landsat D Thematic Mapper Image Resampling for Scan Geometry Correction. A. Prakash, E.P. Beyer. Page 189. 12 pages.

III.A.  SPECIAL REPORTS FOCUSED ON TWO RECENT NATIONAL WORKSHOPS

  1. Landsat Classification Accuracy Assessment Procedures: An Account of a National Working Conference. R.A. Mead, J. Szajgin. Page 202. 3 pages.
  2. Remote Sensing Education: A Special Report on the Conference of Remote Sensing Educators (CORSE-81). T.M. Lillesand. Page 205. 8 pages.

III.B.  WETLANDS AND WATER RESOURCES ASSESSMENT

  1. Pintails and Pixels: A Potential Application of Landsat Technology to Water Fowl Habitat Inventory. T.G. Neraasen, A.J. Macaulay, R.P. Mroczynski. Page 214. 6 pages.
  2. Landsat Digital Analysis: Implications for Wetland Management. V. Carter, K. Richardson. Page 220. 10 pages.
  3. Strategies for Information - Directed Wetlands. N.E.G. Roller. Page 230. 10 pages.
  4. A Determination of Marsh Detrital Export From Landsat MSS Data - A Function of Transport Distance And Water Body Characterization. M.K. Butera, B.R. Seyfarth. Page 240. 14 pages.
  5. Lake Superior Ice Cycle - 1979. G. Leshkevich. Page 254. (no paper)
  6. Historic Wetlands Assessment Using Computerized Microdensitometric Analysis of Aerial Photographs. D.J. Leu. Page 255. 7 pages.
  7. Water Quality Models with Different Functions of Exotech Radiometer Bands. K.R. Rao, R. Krishnan, A.K. Chakraborty, B.L. Deekshatulu. Page 262. 7 pages.
  8. Derivation of Shallow Ocean Bottom Reflectance Values from Color Aerial Photography. D.J. Gerson, L.K. Fehrenbach, K.R. Piech, D.W. Gaucher. Page 269. 7 pages.
  9. Problems in Temperature Estimation from Remotely Sensed Thermal IR Data. S. Fujimura, H. Toyota, M. Inamura, H. Hanaizumi, T. Yokota. Page 276. 5 pages.

III.C.  IMAGE DATA MODELING AND ANALYSIS

  1. Segmenting Landsat Data. R.M. Haralick, S. Wang, J. Campbell, R. Ehrich. Page 282. (no paper)
  2. Contextual Classification on a CDC Flexible Processor System. B.W. Smith, H.J. Siegel, P.H. Swain. Page 283. 9 pages.
  3. Estimation of Proportions in Mixed Pixels Through Their Region Characterization. C.B. Chittineni. Page 292. 12 pages.
  4. Contextual Classification of Multispectral Image Data: An Unbiased Estimator for the Context Distribution. J.C. Tilton, P.H. Swain, S.B. Vardeman. Page 304. 10 pages.
  5. A New Classifier of MSS Data - Natural Boundary Finding in The Feature Space. W.Y. Chen, W.G. Collins. Page 314. 7 pages.
  6. A New Clustering Method for Landsat Images Using Local Maximums of a Multi-Dimensional Histogram. K. Matsumoto, M. Naka, Y. Yamamoto. Page 321. 6 pages.
  7. Sequential Classification Algorithms. R. Krishnan, K.R. Rao. Page 327. 4 pages.
  8. A New Aproach to Automatic Identification of Ground Objects via the Reflectance Look-Up Tables. Y. Kawata, T. Kusaka, Y. Haba, S. Ueno. Page 331. 5 pages.
  9. Multitemporal Segmentation by Means of Fuzzy Sets. R. Jeansoulin, Y. Fontaine, W. Frei. Page 336. 5 pages.

IV.A.  UNDERSTANDING AND CHARACTERIZING THE FOREST SCENE

  1. Another Look at Dutch Elm disease via Digitized Aerial Photography. T.M. Lillesand, D.E. Meisner, D.W. French, W.L. Johnson. Page 342. 9 pages.
  2. On the Slope-Aspect Correction of Multispectral Scanner Data. P.M. Teillet, B. Guindon, D.G. Goodenough. Page 351. 1 page.
  3. Integration of Digital Elevation Model Data and Landsat MSS Data to Aquantify the Effects of Slope Orientation on the Classification of Forest Canopy Condition. D.L. Williams, K.J. Ingram. Page 352. 11 pages.
  4. Correcting for Anisotropic Reflectances in Remotely Sensed Images from Mountainous Terrains. H. Hugli, W. Frei. Page 363. 8 pages.
  5. Effect of Forest Canopy Closure on Incoming Solar Radiance. C.L. Dottavio. Page 375. 9 pages.
  6. Computer-Based Classification Accuracy Due to the Spatial Resolution Using Per-Point versus Per-Field Classification Techniques. R.S. Latty, R.M. Hoffer. Page 384. 11 pages.

IV.B.  RANGELAND AND LAND USE APPLICATIONS OF REMOTE SENSING

  1. A Methodology for Updating Agricultural Forest and Range Resource Inventory in Mexico. Alfredo Camara R. Page 396. 8 pages.
  2. Inventory of Semi-Arid Rangelands in South Texas with Landsat Data. J.H. Everitt, A.J. Richardson, C.L. Wiegand. Page 404. 12 pages.
  3. Reindeer Range Inventory: Use of Winter Landsat Imagery for Stratification of Digital Classification. T.H. George, P.C. Scorup. Page 416. 12 pages.
  4. An Unsupervised Classification Approach for Analysis of Landsat Data to Monitor Land Reclamation in Belmont County, Ohio. J.O. Brumfield, H.L. Bloemer, W.J. Campbell. Page 428. 11 pages.
  5. Remote Sensing Data Applied to Land Use Survey at the Paraiba Valley. M.A. Lombardo, E.M.L. de Moraes Novo, M. Niero, C. Foresti. Page 439. 8 pages.
  6. Image Processing for Cartographic Applications. M.H. Loew, R.L. Pickholtz, L. Goldman. Page 447. 7 pages.
  7. Remote Sensing of Soil Trafficability Factors. J.L. Kirkland. Page 454. 11 pages.

IV.C.  REMOTE SENSING AND GEOREFERENCE INFORMATION SYSTEMS

  1. Application of Remote Sensing and Geographic Information System Techniques to Evaluate Agricultural Production Potential in Developing Countries. G. Schultink, W. Lodwick, J.B. Johnson. Page 466. 12 pages.
  2. CROPCAST(tm): A Special Purpose, Geographically Referenced, Information System for Crop Inventory Applications. E.S. Merrritt, J.M. Meneely, L. Heitkemper, D. Hlavka. Page 478. 13 pages.
  3. Arizona Geophysical Data Base. R.G. McLeod. Page 491. 6 pages.
  4. Comprehensive Geo-Data Base Control with an Electronic Coordinate Digitizer. T.D. Frank. Page 497. 8 pages.
  5. Techniques to Update a Land Management Information System with Landsat. C.A. Nelson, D.E. Meisner, B. Smekofski. Page 505. 14 pages.

V.A.  FOREST RESOURCE INFORMATION THROUGH REMOTE SENSING

  1. Mechanics of Monitoring Forest Clearcuts and their Regeneration. M.S. Gregory, S.J. Walsh, J.D. Vitek. Page 520. 9 pages.
  2. Broad Area Forest Fuels and Topography Mapping Using Digital Landsat and Terrain Data. M.B. Shasby, R.R. Burgan, G.R. Johnson. Page 529. 10 pages.
  3. Estimation of Forest Biomass with Remotely Sensed Data. D.G. Goodenough, B. Guindon, P.M. Teillet, J.W.E. Harris, K. Dickinson, J.F. Meunier. Page 539. 1 page.
  4. Problems Related to the Use of Remote Sensing for Inventory and Mapping of Lower Coastal Plain Forests. J.R. Helms, W.A. Shain. Page 540. 3 pages.
  5. The Use of Landsat Data in an Operational Forest Resource Information System (FRIS). F.E. Goodrick. Page 543. 1 page.
  6. Comparison of Satellite Imagery and Conventional Aerial Photography in Evaluating a Large Forest Fire. G.R. Minick, W.A. Shain. Page 544. 3 pages.

V.B.  REMOTE SENSING AND GEOREFERENCE INFORMATION SYSTEMS CONTINUED

  1. Forcing Functions and Georeferenced Information Systems. R. Chung. Page 548. 5 pages.
  2. FRIS: An Operational Geographic Information System. B.M. Shelley. Page 553. 2 pages.
  3. Sensitivity of Geographic Information System Outputs to Errors in Remotely Sensed Data. H.K. Rampriyan, R.K. Boyd, F.J. Gunther, Y.C. Lu. Page 555. 12 pages.
  4. A Georeferenced Information System for Real Time Hydrologic Modeling. J.D. Fellows. Page 567. 8 pages.

CLOSING PLENARY SESSION (Monitoring the World's Forest Resources: Today and Tomorrow)

  1. Forestry as a Technology Driver. Arch Park. Page 576. 9 pages.
  2. What's Happening to the World's Forest Resources. J.J. Talbot. Page 587. 6 pages.
  3. Biotic Contributions to the Global Carbon Cycle: The Role of Remote Sensing. R.A. Houghton, G.M. Woodwell. Page 593. 8 pages.
  4. Monitoring Global Vegetation. Robert B. MacDonald. Page 601. (no paper)

POSTER PAPER SESSION

  1. The Expansion of the Probability Density Function to Non-Gaussian Distribution. Minoru Akiyama. Page 604. 5 pages.
  2. Computer Generated Maps from Digital Satellite Data: A Case Study in Florida. L.G. Arvanitis, R.M. Reich, R. Newburne. Page 609. 8 pages.
  3. Mapping Deer Yard Habitats Using Landsat: A Practical Application. K.D. Doran. Page 617. 4 pages.
  4. Image Registration System in the Landsat-D Production Environment. P. Kiss, P. Arnold, J. Goldstine. Page 621. 5 pages.
  5. Radar Imager for Forest Cover Mapping. D.J. Knowlton, R.M. Hoffer. Page 626. 7 pages.
  6. An Approach to Develop Interpretation Keys for the Analysis of Single Band Bhaskara Satellite TV-Data. K.L. Majumder, A.K.S. Gopalan, D.S. Kamat, A.N. Patel, P. Senchaudhuri. Page 633. 6 pages.
  7. An Experimental Landsat QuickLook System for Alaska. J.M. Miller, N. Campbell. Page 639. 8 pages.
  8. Problems on Data Structuration about Paleontological Collections. D. Pajuad, M.J. Roulet. Page 647. 6 pages.
  9. Computer Mapping of Seasonal Groundwater Fluctuations for Two Differing Southern New Jersey Swamp Forests I. W.R. Parrott, Jr., P.E. Reynolds, D.C. Hain, J.R. Maruer. Page 653. 5 pages.
  10. Identification of Agricultural Crops by Computer Processing in the Provinces of Cordoba and La Pampa - Argentina. M.A. Raed, C. Espoz. Page 668. 8 pages.
  11. Use of Landsat-2 Data Technique to Estimate Silverleaf Sunflower Infestation. A.J. Richardson, D.E. Escobar, H.W. Gausman, J.H. Everitt. Page 676. 8 pages.
  12. Data Structuration in Coal Research and Coal Mining. M.J. Roulet. Page 684. 6 pages.
  13. Automatic Processing of Computer Compatible Tapes with Data from Airborne Multispectral Scanners. N. Scquizzato, S.F. Pagel. Page 690. 5 pages.
  14. Use of an Apple Computer to Identify Vegetation and Assess the Coverage within Single Landsat Pixels. H.C. Sweet. Page 695. 7 pages.
  15. Segmentation of Urban Scenes Using Extensions of a Pairwise Classification Approach. M.M. Trivedi, R.W. Conners, C.A. Harlow, R.E. Vasquez-Espinosa. Page 702. (no paper)
  16. Retrieval of Coastal Water Information from Landsat MSS Data. Sueo Ueno. Page 703. 8 pages.


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