Monitoring vegetation cover change using time series of remote sensing data in Huang-Huai-Hai Plain, China

Abstract

Time series of remote sensing data is widely used in vegetation change monitoring in regions of great environmental changes. In this paper, GIMMS dataset is used to extract temporal and spatial patterns of vegetation cover change in Huang-Huai-Hai Plain, China from 1993 to 2006. The results indicate that the total vegetation is increasing in this region. But the changing trend has spatial variations with some part improving and others deteriorating. The vegetation cover changed due to both human practices and climate changes.