Abstract: Remote sensing is able to provide the information of crop's growing way and an absence of water quickly,real-timely and in a large area,and make up the shortcoming of measurement in the field.We constructed a relevant statistic model for predicting crop water content based on shortwave angle slope Index(SASI),which uses the equivalent water thickness per unit area at canopy(EWTcanopy) receiving from global vegetation moisture index(GVMI).At the same time,the model was used to retrieve the water content of crop in Huanghuaihai plain in China.The result shows that the angle index model has strong correlation with EWTcanopy,and the water content of crop gets from it has good consistency with the relative moisture of soil at the same term.