EOS/MODISbased drought monitoring models for pasture in spring in Qinghai Province

By monitoring soil moisture with ATI and EOS/MODIS satellite data in day and night the linear and logarithmic models of thermal inertia with soil moisture of Qinghai Province were established, and the former was selected as basal model. Two methods, indirectly inversing temperature by radiation and directly inversing temperature, were analyzed and compared. The directly inversing temperature method was brief and practical. Due to the shortage of ATI model, which could only monitor soil moisture of bare land, the revised method through NDVI was utilized. And then, the remote sensing monitoring model for pasture in spring in Qinghai Province was built up. By practical application, it could be concluded that this new method could replace the traditional monitoring method.