Evaluation of Degraded Grassland Using Multi-temporal and Multi-platform Satellite Remote Sensing Images
Using the SPOT,TM images and MODIS-NDVI data,combining with the ground survey data,the evaluation index of degraded grassland was established based on the types of plant community (the structure of ecosystem) and the above ground biomass (the function of ecosystem),and grassland degeneration in typical steppe in Baiyinxile area in Inner Mongolia was evaluated.Finally,by use of the multiple temporal and spectral MODIS data and the supervised classification method,a method for rapid diagnosis of degraded grassland was put forward.The results showed that:(1) the area of light,moderate and heavy degradation of grassland in typical steppe area of the region accounted for 25.2％,37.4％ and 37.4％,respectively.(2) MODIS data can be applied to grassland degradation monitoring practice.In the diagnosis of degraded grassland by using dynamic MODIS multiple spectral data,the total accuracy was 67.4％,Khat statistic was 0.5.(3) There were some limitations of grassland degradation diagnosis using MODIS data,the total accuracy was slightly poor.But if combined with other auxiliary data such as DEM,slope aspect,soil factors,and settlements,roads and the intensity of human activities,the accuracy of diagnosis is expected to be further improved.
NETL
NSTL
万方数据
维普
