The spatial and temporal patterns of impervious surface and their socioeconomic impacts in a Chinese rapid urbanized area—A hybrid of remote sensing and machine learning approaches.

Kong, Liangji

The spatial and temporal patterns of impervious surface and their socioeconomic impacts in a Chinese rapid urbanized area—A hybrid of remote sensing and machine learning approaches.

Liangji Kong, Peking University, Beijing, China, Runzi Wang, Michigan State University, East Lansing, MI, United States and Chong Liu, Jiangxi Normal University, Nanchang, China