遥感信息与作物模型结合在冬小麦区域模拟中的应用

Incorporating remote sensing data and crop model to simulate regional winter wheat growth

遥感数据与作物模型结合是当前农业信息技术应用研究的重要内容和发展趋势之一,能够解决单独利用遥感或作物模型无法解决的问题。为了开展大范围、区域性作物生长过程的模拟和产量预测,首先对作物模型WOFOST进行了订正和验证,使得调整后的模型适于模拟河南新乡县冬小麦生长;根据实际生产分三类情形模拟新乡县2002—2003年度冬小麦的生长发育状况;利用全生育期内能获取的Landsat-7 ETM+数据反演叶面积指数,结合WOFOST模型的模拟情况,确定每个像元对应的冬小麦的生长状况,从而在像元上实现了WOFOST模型对冬小麦生长的模拟;最后对照比较本研究方法的结果与当年新乡县冬小麦的统计情况,结果相近,验证了本文研究方法的技术可行性。

Combination of remote sensing data with crop model is one of important contents and devel- opment 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 sim- ulated 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.