基于遥感信息的区域农业干旱模拟技术研究

Regional Agro-drought Simulation Based on Remote Sensing Technology

区域农业干旱监测预测对农业生产具有十分重大的指导意义,但受观测手段所限,目前大范围的区域农田水分信息尚无法通过常规观测直接获取。利用微波遥感(AMSR-E)获取大范围农田水分信息,继而与作物干旱模型结合对河南省冬小麦农业干旱发生发展进行了模拟研究。结果表明,加入遥感信息后,作物干旱模型对冬小麦生长发育的模拟能力有较大提高,并且区域农业干旱的模拟结果更加接近实际情况。研究表明,将遥感信息与作物干旱模型相结合,可以提高模型对农业干旱的模拟能力,这为农业旱情监测预测提供了更有力的科技支撑。

Regional agrodrought monitoring and prediction are of great importance to agricultural production and however, constrained by measuring techniques, the regional largescale soil moisture information cannot be obtained directly through the conventional observation. As a case study, regional agrodrought in He＇nan Province was simulated by combing a crop growth model with the regional moisture information obtained using microwave remote sensing technology（AMSRE）. It was found that the model supported by the region al 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 agrodrought simulation could be enhanced by the combination of the crop model and microwave remote sensing technology, which may provide more accurate information for regional agrodrought monitoring and prediction.