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

Authors

Ruiliang Pu, Univeristy of CaliforniaFollow
Peng Gong, Univeristy of California

Document Type

Article

Publication Date

12-1998

Digital Object Identifier (DOI)

https://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

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.
https://digitalcommons.usf.edu/geo_facpub/407