Regional agro-drought monitoring and prediction are of great importance to agricultural production and however,constrained by measuring techniques,the regional large-scale soil moisture information cannot be obtained directly through the conventional observation.As a case study,regional agro-drought in He'nan Province was simulated by combing a crop growth model with the regional moisture information obtained using microwave remote sensing technology(AMSR-E).It was found that the model supported by the regional soil moisture information performed better in simulating winter wheat growth and the results were much closer to the actual situation.This research identified that the capability for agro-drought simulation could be enhanced by the combination of the crop model and microwave remote sensing technology,which may provide more accurate information for regional agro-drought monitoring and prediction.