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Refining Landsat classification results using digital terrain data

Journal of Applied Photographic Engineering
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Abstract

 Scientists at the U.S. Geological Survey's Earth Resources Observation systems (EROS) Data Center have recently completed two land-cover mapping projects in which digital terrain data were used to refine Landsat classification results. Digital ter rain data were incorporated into the Landsat classification process using two different procedures that required developing decision criteria either subjectively or quantitatively. The subjective procedure was used in a vegetation mapping project in Arizona, and the quantitative procedure was used in a forest-fuels mapping project in Montana. By incorporating digital terrain data into the Landsat classification process, more spatially accurate landcover maps were produced for both projects.

Additional publication details

Publication type Article
Publication Subtype Journal Article
Title Refining Landsat classification results using digital terrain data
Series title Journal of Applied Photographic Engineering
Volume 8
Issue 1
Year Published 1982
Language English
Publisher Society for Imaging Science and Technology
Contributing office(s) Earth Resources Observation and Science (EROS) Center
Description 6 p.
First page 35
Last page 40
Online Only (Y/N) N
Additional Online Files (Y/N) N