Vegetation and Terrain Effects on Digital Classification of LANDSAT Imagery.

Abstract

LANDSAT scenes from the northern Chihuahuan Desert, south-central New Mexico and western Texas, taken in March and August 1975, were analyzed using conventional supervised digital image analysis techniques. The study objective was to evaluate th digitally classified LANDSAT image against known ground condition and determine those vegetative and terrain factors that could aid the manual interpretation of the classified image. The interpretation of the image and correct classification of most areas were greatly assisted by knowledge of plant community-landform relations, the species phenological and physiognomic characteristics, and the reflectance-cover relations for the soil and vegetation conditions in each scene. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA124236

Entities

People

  • Melvin B. Satterwhite

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Composite Images
  • Databases
  • Digital Data
  • Digital Image Processing
  • Digital Images
  • Ground Level
  • Image Processing
  • Images
  • Landforms
  • Materials
  • New Mexico
  • Photographs
  • Photography
  • Plant Growth
  • Spatial Distribution
  • Spectra
  • Supervised Machine Learning

Readers

  • Image Processing and Computer Vision.
  • Theoretical Analysis.
  • Wetland-Land-Environmental Management.