Comparing digital data processing techniques for surface mine and reclamation monitoringThe results of three techniques used for processing Landsat digital data are compared for their utility in delineating areas of surface mining and subsequent reclamation. An unsupervised clustering algorithm (ISOCLS), a maximum-likelihood classifier (CLASFY), and a hybrid approach utilizing canonical analysis (ISOCLS/KLTRANS/ISOCLS) were compared by means of a detailed accuracy assessment with aerial photography at NASA's Goddard Space Flight Center. Results show that the hybrid approach was superior to the traditional techniques in distinguishing strip mined and reclaimed areas.
Document ID
19830057119
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Witt, R. G. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Bly, B. G. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Campbell, W. J. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Bloemer, H. H. L. (Ohio University Athens, OH, United States)
Brumfield, J. O. (Marshall Univerity Huntington, WV, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1982
Subject Category
Earth Resources And Remote Sensing
Meeting Information
Meeting: American Congress on Surveying and Mapping and American Society of Photogrammetry Convention; APS Annual Meeting