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世界地质 2017, 36(4) 1309-1314 DOI:
ISSN: 1004-5589 CN: 22-1111/P |
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| 基础地质 |
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基于Landsat-8数据的镇赉县干旱监测研究 |
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任潇洒，陈圣波，刘立文 |
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1. 吉林大学 地球探测科学与技术学院，长春 130026; 2. 山西农业大学 资源环境学院，山西 晋中 030801 |
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摘要：
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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关键词：
Landsat-8
干旱
植被指数
TVDI
遥感监测
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Drought monitoring in Zhenlai based on Landsat--8 data |
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ＲEN Xiao-sa，CHEN Sheng-bo，LIU Li-wen |
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1. College of Geo-exploration Science and Technology，Jilin University，Changchun 130026; 2. College of Ｒesource and Environment，Shanxi Agricultural University，Jinzhong 030801，Shanxi，China |
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Abstract:
Zhenlai，Baicheng of Jilin Province is selected as the study area，and the corresponding vegetation- land 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 ar- ea 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 accu- rate in drought monitoring and could be effectively used for large-scale drought monitoring． |
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Keywords:
Landsat-8
drought
vegetation index
remote sensing images
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