Predicting Land-Cover Changes with Gray Systems Theory and Multitemporal Aerial Photographs
Digital Object Identifier (DOI)
In this study, we report a new technique based on gray systems theory for land-cover change prediction. Historical land-cover data were obtained from aerial photo interpretation. Change prediction was carried out for seven land-cover types in Claremont Canyon, Alameda County, California. The prediction results demonstrated that the prediction technique was effective.
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Citation / Publisher Attribution
Geographic Information Sciences, v. 4, issue 1-2, p. 73-79
Scholar Commons Citation
Pu, Ruiliang and Gong, Peng, "Predicting Land-Cover Changes with Gray Systems Theory and Multitemporal Aerial Photographs" (1998). School of Geosciences Faculty and Staff Publications. 407.