利用2012年153期到241期的Terra/Modis 8 d合成的地表温度（LST）产品数据MOD11A2和16 d合成增强植被指数（EVI）数据MOD13A2，构建LST-EVI特征空间，并依据该特征空间计算的温度植被干旱指数（TVDI）作为土壤湿度的监测指标，反演了2012年6-8月份安徽省每8 d的土壤湿度分布状况，验证了LST-EVI特征空间三角形分布的基本特征。结果表明：总体来看，2012年安徽省伏旱主要发生在两个时段（6月上旬到中旬以及7月中旬到8月上旬），两个时段持续时间都不长，并没有造成严重灾情，到8月上旬开始缓解，8月中旬基本结束。本研究为利用遥感数据对伏旱进行动态监测提供了方法和依据。
The LST-EVI characteristic space was built using MOD11A2 and MOD13A2, two types of data that were generated by Terra/Modis 8 days’ land surface temperature (LST), Terra/Modis16 days’ enhanced vegetation index (EVI) from the 153th day to the 241th day of 2012, respectively. According to the temperature vegetation drought index (TVDI), representing the monitoring index of soil moisture, calculated by the characteristic space, soil moisture distribution of every 8 days in Anhui province from June to August, 2012 was retrieved. The essential features of triangular distribution of LST-EVI characteristic space were confirmed. The results showed that the summer drought in Anhui province often occurs in two periods of time (the first third of June to the middle third of July, and the middle third of July to the first third of August) in general. The time of these two periods was not long enough to cause an unacceptable damage. The drought was fade away from the first third of August to the middle third of August. The study provided a method and theory basis to carry through drought dynamic monitoring using the remote sensing data.