Refining Landsat classification results using digital terrain data
Journal of Applied Photographic Engineering
By: Wayne A. Miller and Mark Shasby
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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.
| 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 |
| Google Analytic Metrics | Metrics page |