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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。
Land surface temperature (Ts) and vegetation index (VI) can be used to estimate the surface parameters such as sensible heat flux, latent heat flux and soil water content. This method is more practical and does not rely too much on ground-based observations. With the deepening of research, many scholars have proposed more abundant spatial variables based on Ts / VI feature space. Based on this, taking the different spatial variables as the standard, this paper introduced the inversion of surface energy flux and soil moisture parameters based on the Ts / VI feature space. Which includes monitoring the drought based on the Ts / albedo feature space based on the Ts / NDVI feature space; using the Ts / albedo feature space to retrieve the evaporation ratio; inverting the evapotranspiration using the DSTV / VI feature space; Vegetation index feature space inversion evapotranspiration and so on. The progress of research on the correlation between Ts / VI feature space and microwave remote sensing in the retrieval of surface water content is also introduced. Finally, the development direction of future research is proposed.