TVDI based crop yield prediction model for stressed surfaces

In the agriculture research field, the main object of drought monitoring is to gain the soil moisture, furthermore to confirm the loss of drought. Soil moisture is one of the most important factors affecting the crop especially for the drought area. Besides, the terrain of farmland also affects the soil moisture and the variety of crop. This paper will indicate the effects of the two factors above and the relationship between them. Agriculture drought research group of PKU has used TVDI (Temperature Vegetation Dryness Index) to evaluate the soil moisture in order to establish a model to predict crop yield, which has been used in the real task of meteorology and agriculture department. Using a special software system established by the research group, the TVDI could be conveniently calculated and the result accords with the real situation very well when we use it to compare with the local observation data.