SLOPE-LINE DETECTION IN A VECTOR-BASED GIS

This paper presents a vector method of slope-line detection for terrain analysis. Topographic data coded in digitized contours are organized in two relational files, a Contour Attribute Table (CAT) and a Point Location File (PLF). Given any location as the origin of gravity flow in a surface, the method identifies consecutive segments of steepest descent according to the Cauchy-Schwarz theorem. An empirical study using the topographic database of Idyllwild, California demonstrates the operation of the method. On average, it takes less than two seconds of CPU time for the method to identify a slope line from the generalized contour coverage of a 15-minute quadrangle.

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  • Corporate Authors:

    American Society for Photogrammetry and Remote Sensing

    5410 Grosvenor Lane, Suite 210
    Bethesda, MD  United States  20814-2160
  • Authors:
    • Chou, Y H
  • Publication Date: 1992-2

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  • Accession Number: 00619598
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 1 2004 10:32PM