针对目前应用 MODIS 数据进行土壤水分预测研究现状，综合分析现有文献，依据使用遥感光谱波段的不同，分别讨论了基于热红外遥感的温度法、基于可见光-近红外遥感的植被指数法以及综合温度和植被指数的特征空间法，分析了几种主要方法在精度、适用范围、实时性等方面的优缺点，认为在裸土或低植被情况下使用热惯量法，而在植被覆盖地区应选择特征空间法来预测土壤水分。在此基础上，提出了未来基于 MODIS 的土壤水分监测的发展趋势，即多源遥感数据融合技术是提高反演精度的主要手段， MODIS 数据与 GIS 和高光谱数据的结合是今后的研究重点。%The existing related literatures are analyzed based on the current research progress of soil moisture remote sensing predicting .According to the differences of the spectrum bands used with MODIS data , the research status quo of thermal infrared temperature method , vegetation index method based on nir-red bands , and temperature/vegetation in-dex method which combines the upper two methods are discussed respectively .The advantages and disadvantages of each method in terms of accuracy , fit area and real time are also discussed .Then we believe that thermal inertia method in bare or low vegetation-covered area ,temperature/vegetation method in vegetation covered area can provide higher preci-sion .On that basis , this paper proposes the development tendency of soil moisture monitoring based on MODIS data in fu -ture , the main measure to improve the precision is multi-sources remote sensing technology .Therefore , MODIS data com-bined with GIS and high spectrum remote sensing data would be the emphasis of future research .
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