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COMPUTER PROCESSING OF MULTISPECTRAL SCANNER DATA OVER COAL STRIP MINES
Citation:
Tanner, C. COMPUTER PROCESSING OF MULTISPECTRAL SCANNER DATA OVER COAL STRIP MINES. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/7-79/080 (NTIS PB80111677), 1979.
Description:
There is little doubt that remote sensing techniques can be effectively applied to the task of monitoring coal strip mine progress and reclamation work. Aircraft multispectral scanner data acquired over six coal strip mines in the states of Wyoming, Montana, Colorado, and Arizona were processed on the Data Analysis System (DAS) using a clustering approach to automatic pattern recognition. The classification results demonstrated that a Level I hierarchy of vegetation features, manmade features, and disturbed areas could be easily obtained with a minimum amount of time. Aside from satisfying a Level I hierarchy, the results may be used as input to other classification approaches to pattern recognition, or they may be incorporated into a data base for planning or for conducting temporal analyses studies.