Zhenlai,Baicheng of Jilin Province is selected as the study area,and the corresponding vegetationland surface temperature feature space is constructed and the temperature of vegetation drought index is calculated by the means of utilizing remote sensing images to get the normalized vegetation index,enhanced vegetation index,normalized water index and soil-adjusted vegetation index.The indexes are verified by the extent of disaster and area data at field sampling points.It is indicated that there are differences in the surface temperatures of different soil types.In the vegetation boom period,vegetation drought index based on normalized vegetation index is more accurate in drought monitoring and could be effectively used for large-scale drought monitoring.%选取吉林省白城市镇赉县为研究区,通过遥感影像获取归一化植被指数、增强型植被指数、归一化水分指数和土壤调节植被指数,分别构建相应的植被指数-地表温度特征空间并计算其温度植被干旱指数,用野外采样点的受灾程度和面积数据进行验证.结果表明,不同土壤类型的地表温度存在差异,在植被旺盛期,基于归一化植被指数的温度植被干旱指数具有较高的旱情监测精度,可有效地用于大范围的干旱监测.
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