Publication Date:
2019-07-13
Description:
In a cooperative project with the Geological Survey of Alabama, the Mississippi State Remote Sensing Applications Program has developed a single purpose, decision-tree classifier using band-ratioing techniques to discriminate various stages of surface mining activity. The tree classifier has four levels and employs only two channels in classification at each level. An accurate computation of the amount of disturbed land resulting from the mining activity can be made as a product of the classification output. The utilization of Landsat data provides a cost-efficient, rapid, and accurate means of monitoring surface mining activities.
Keywords:
EARTH RESOURCES AND REMOTE SENSING
Type:
ASP 79-208
,
American Society of Photogrammetry, Annual Meeting; Mar 18, 1979 - Mar 24, 1979; Washington, DC
Format:
text
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