USING THEMATIC MAPPER DATA TO IDENTIFY CONTRASTING SOIL PLAINS AND TILLAGE PRACTICES

Landsat-5 Thematic Mapper (TM) data from 11 May 1990 for Seneca County, Ohio were used to develop TM-based probability models for classifying agricultural management practices and soil properties. Logistic regression techniques were used to relate field data for 27 fields to TM bands and indices. Field data, including tillage and drainage practices, soil plain, and soil texture, were collected from 1988 to 1990. Both soil plain and tillage logistic regression models classified 89 percent of the fields correctly. Simple ratio and normalized differences of TM bands 5 and 7 proved most useful for classifying tillage practices. TM bands 1, 2, 3, and 4 were found useful for identifying soil plain. Spectral differences were attributed to soil color differences between lake and till plain soils and surface residue differences between conservation and conventional tillage.

  • Availability:
  • Corporate Authors:

    American Society for Photogrammetry and Remote Sensing

    5410 Grosvenor Lane, Suite 210
    Bethesda, MD  United States  20814-2160
  • Authors:
    • van Deventer, A P
    • Ward, A D
    • Gowda, P H
    • Lyon, J G
  • Publication Date: 1997-1

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00732114
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Feb 11 1997 12:00AM