AUTOMATIC SOIL IDENTIFICATION FROM REMOTE SENSING DATA

A reliable method of automatic solid identification can be developed by the combined application of remote sensing and digital terrain data. Research results have demonstrated that small differences in soil types can be distinguished by the use of quantitative terrain factors which are computed from digital terrain data. Continuing research effort is directed towards the improvement of the terrain factors, the development of statistical prediction techniques, and testing the effectiveness of these factors in the identification of soils. /Author/

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00991112
• Corporate Authors:

  American Society of Photogrammetry

  105 North Virginia Avenue
  Falls Church, VA  United States  22046
• Authors:
  • WONG, K W
  • Thornburn, T H
  • Khoury, M A
• Publication Date: 1977-1

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 73-80
• Serial:
  • Photogrammetric Engineering and Remote Sensing
  • Volume: 43
  • Issue Number: 1
  • Publisher: American Society for Photogrammetry and Remote Sensing
  • ISSN: 0099-1112

Subject/Index Terms

• TRT Terms: Calculation; Digital computers; Forecasting; Identification systems; Remote sensing; Terrain
• Uncontrolled Terms: Computation; Data
• Old TRIS Terms: Digital systems; Identification (Soils)
• Subject Areas: Design; Highways;

Filing Info

• Accession Number: 00149830
• Record Type: Publication
• Files: TRIS
• Created Date: Apr 27 1977 12:00AM