中文摘要：

遥感反演的地表温度（Ts）和植被指数（VI）构成的特征空间结合模型分析可以对显热通量、潜热通量及土壤含水量等地表参数进行估算。这种方法比较实用,且不过多地依赖地面观测数据。随着研究的深入,许多学者在Ts/VI特征空间基础上提出了更加丰富的空间变量。基于此,以不同空间变量为标准,分类介绍在Ts/VI特征空间的基础上对地表能量通量及土壤水分等参数的反演。其中包括在Ts/NDVI特征空间基础上提出温度植被干旱指数和条件植被温度指数来监测干旱;利用Ts/albedo特征空间反演蒸发比;用DSTV/VI特征空间反演蒸散量;用地气温差/植被指数特征空间反演蒸散量等。并介绍了Ts/VI特征空间与微波遥感结合反演地表含水量等相关研究的进展情况,最后提出未来研究的发展方向。

英文摘要：

Using remotely sensed land surface temperature （ Ts） and vegetation index （ VI） feature space combined with models to estimate land surface energy fluxes and surface soil moisture is increasingly important as this method is simple and independent on ground observations. With the development of methods for using the feature space,many researchers propose other feature spaces based on physical and ecological meanings of the Ts/VI feature space. The basic idea behind all these techniques is that surface radiant temperature is sensitively dependent on the surface soil water content. The paper aims to offer a comprehensive and systematic review of the feature spaces and their applications in retrieving land surface parameters. Prior to the review,the biophysical meanings and properties encapsulated in the Ts/VI feature space is elucidated since these represent the building block upon which all the Ts/VI methods described herein are based,and the drought monitoring approaches are summarized by using the Ts/VI feature space. Then,the evaporative fraction estimation using the Ts/albedo feature space,evapo-transpiration estimation using the DSTV/VI （ Diurnal Surface Temperature Variation） feature space and the feature space of the difference of surface temperature to air temperature （ Ts-Ta） and soil adjusted vegetation index （ SAVI） are all discussed. Finally the coupling of the Ts/VI feature space and microwave remote sensing data are discussed for soil surface moisture monitoring,and the further studies are proposed.