Development of satisfactory techniques for detecting change in coastal zone environments is required before operational monitoring procedures can be established. In an effort to meet this need, a study was directed toward developing and evaluating different types of change detection techniques, based upon computer-aided analysis of Landsat multispectral scanner (MSS) data, to monitor these environments. The Matagorda Bay estuarine system along the Texas coast was selected as the study area. Land use within this area is divided principally among agriculture, rangeland, urban, industry, recreation, and large marsh covered tracts. Four change detection techniques were designed and implemented for evaluation: (1) post-classification comparison change detection, (2) delta data change detection, (3) spectral/temporal change classification, and (4) layered spectral/temporal change classification. Each of the four techniques was used to analyze a Landsat MSS temporal data set in order to detect areas of change of the Matagorda Bay region, The post-classification comparison technique reliably identified areas of change and was used as the standard for qualitatively evaluating the other three techniques. The layered spectral/temporal change classification and the delta data change detection results generally agreed with the post-classification comparison technique results; however, many small areas of change were not identified. Major descrepancies existed between the post-classification comparison and spectral/temporal change detection results. /Author/

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  • Corporate Authors:

    American Society of Photogrammetry

    105 North Virginia Avenue
    Falls Church, VA  United States  22046
  • Authors:
    • Weismiller, R A
    • Kristof, S J
    • Scholz, D K
    • Anuta, P E
    • Momin, S A
  • Publication Date: 1977-12

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Filing Info

  • Accession Number: 00168423
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 16 1978 12:00AM