Combination of remote sensing data with crop model is one of important contents and development trends of agricultural information technology study,which can be used to solve some problems that cannot be solved individually by using remote sensing data or crop model.In order to develop the crop growth process simulation and the yield prediction in a large scope,the WOFOST crop model is revised and verified based on the field test data,in such a way that the revised model can be used to simulate winter wheat growth in Xinxiang County of Henan Province.Based on the actual wheat growth,the winter wheat growth in Xinxiang County during 2002—2003 is divided three cases and simulated by the model.The growth of winter wheat in each pixel is determined by contrasting two kinds of LAI(leaf area index), i.e. one retrieved from the Landsat-7 ETM⁺ data in the whole growth period,another simulated by the WOFOST model,so that the winter wheat growth can be simulated in the pixel level by the WOFOST model.Comparison is made between the results of the method used in this paper and the statistic data of Xinxiang County.The similar outcome verifies the technical feasibility of the method.