Land Cover Classification from LANDSAT Data; Phase III of a Joint OCE/NASA Demonstration.

Abstract

The Corps of Engineers and NASA's Earth Resources Laboratory conducted a joint demonstration of the production of land cover classification data from LANDSAT data. This report describes Phase III of the demonstration, in which classification maps and data were produced for two Corps of Engineers Districts Wilmington District, an area in the upper Roanoke River basin of Virginia; and Jacksonville District, an area along the route of the Cross Florida Barge Canal. The report includes the Districts' evaluations of the accuracy and applicability of the classifications and cost information for Phase III of the demonstration. The report also includes cost information for the applicatio of interdisciplinary analysis of aerial photography as a means of obtaining land cover and environmental data. LANDSAT data may be cost-effective for identifying and showing the distribution of general types of land cover for large areas, although some land cover types may not be identifiable on a particular LANDSAT scene. Interdisciplinary analysis of aerial photography identifies and explains in a technical report the distribution of land cover. The extra detail of the report and the ability to ensure that specific land cover types are studied may make interdisciplinary analysis of aerial photography cost-effective for limited study areas. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA071723

Entities

People

  • Richard N. Foreman

Organizations

  • Geospatial Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Aerial Photographs
  • Aerial Photography
  • Computer Programs
  • Computers
  • Cost Analysis
  • Cost Estimates
  • Data Acquisition
  • Data Processing
  • Drainage Basins
  • Forests
  • Information Science
  • Photographs
  • Photography
  • Remote Sensing
  • Statistics
  • Surface Properties

Readers

  • Atmospheric Remote Sensing.
  • Hydrologic Risk Analysis and Mitigation.
  • Software Engineering