TY - JOUR
T1 - Predicting Land-Cover Changes with Gray Systems Theory and Multitemporal Aerial Photographs
AU - Pu, Ruiliang
AU - Gong, Peng
PY - 1998/12/1
Y1 - 1998/12/1
N2 - 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.
AB - 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.
UR - https://digitalcommons.usf.edu/geo_facpub/407
UR - https://doi.org/10.1080/10824009809480506
U2 - 10.1080/10824009809480506
DO - 10.1080/10824009809480506
M3 - Article
VL - 4
JO - Geographic Information Sciences
JF - Geographic Information Sciences
ER -