FLOOD-PLAIN DELINEATION USING MULTISPECTRAL DATA ANALYSIS

The delineation of flood plains with the use of current techniques is both costly and time-consuming. This paper explores the application of a remote sensing technique that may permit determination of flood-plain areas without the extensive work associated with existing techniques. In this study, multispectral scanner data were simulated by utilizating the density differences in a color-infrared transparency for a section of the Navasota River in Texas. The transparency was taken from a low-flying aircraft and covered an area approximating a square mile. The simulated data were processed by an automatic classification technique previously developed in the remote sensing field. The technique used involves the application of the maximum likelihood rule in order to categorize the data being processed. An attempt was made to distinguish between areas known to be in the flood plain and those without. A reasonable correlation was found between boundaries based on computer processed multispectral data and those produced by techniques currently in use. /Author/

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  • Corporate Authors:

    American Society of Photogrammetry

    105 North Virginia Avenue
    Falls Church, VA  USA  22046
  • Authors:
    • Harker, G R
    • Rouse Jr, J W
  • Publication Date: 1977-1

Media Info

  • Features: Figures; Photos; References; Tables;
  • Pagination: p. 81-87
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00149831
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 27 1977 12:00AM