Application of CBERS imagery for urban growth monitoring

Remote sensing technology has many advantages in the city development and using remote sensing technology to monitor urban growth has become a trend. Various remote sensing data were engaged in monitoring the spatial and temporal processes of urban expansion and land use change. The CBERS has been applied in many fields. Based on multi-temporal CBERS imageries, the research extracted the urban built-up areas in Changchun city, Jilin province, China, on the basis of supervised classification method, Maximum Likelihood classifier. Overlay and buffer spatial analysis was used to study urban growth direction. At last, the major drive forces behind urban expansion were analyzed by using socio-economic statistics. This research has verified the applicability of urban growth monitoring based on CBERS imageries, and then, should enrich urban expansion data source and extend the CBERS application field.