Monitoring of degrading grassland based on HJ-1A-HSI image

Grassland is one of the most important parts of ecosystem on the earth. In China, one of the best grass lands is degrading because of draught or effects of human activity. It is important to monitor the growing condition of degrading grasslands. LAI is an important variable which can accurately represent the growing situation of grass. With DSD method, hyper-spectral images from HJ-1A satellite are used to inverse LAI accurately by restraining the effect of background. In this paper, multi spectral image was used to retrieve LAI with BRDF method for comparing. The maps of LAI and degradation level in study area were made. According to the results, the DSD method can retrieve LAI of grassland accurately and the HSI image of HJ-1A is a potential ideal data source for monitoring grassland.