Urban area update procedures using Landsat dataLandsat digital enhancements and classification maps are shown to be useful for updating the urban expansion of standard metropolitan statistical areas on a macro scale. Automated procedures for detecting nonurban to urban land coverage change using multitemporal Landsat data are investigated for five metropolitan areas, showing an overall delineation similar to that obtained from large scale aerial photography. The evaluated change detection procedures include image differencing, principal component transformation prior to differencing, and post classification comparison. Results show that image differencing techniques in MSS band 5 provide the most accurate land cover change detections.
Document ID
19810059329
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Toll, D. L. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Royal, J. A. (General Electric Co., Space Systems Div., Beltsville MD, United States)
Davis, J. B. (U.S. Bureau of Census, Geography Div., Washington DC, United States)