Title

Predicting Land-Cover Changes with Gray Systems Theory and Multitemporal Aerial Photographs

Document Type

Article

Publication Date

12-1998

Digital Object Identifier (DOI)

http://dx.doi.org/10.1080/10824009809480506

Abstract

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.

Was this content written or created while at USF?

No

Citation / Publisher Attribution

Geographic Information Sciences, v. 4, issue 1-2, p. 73-79

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