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中巴经济走廊2000-2017年逐月温度植被干旱指数数据集
A dataset of monthly temperature vegetation dryness index along the China–Pakistan Economic Corridor from 2000 – 2017
: 2018 - 08 - 01
: 2018 - 08 - 01
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摘要&关键词
摘要:“中巴经济走廊”沿线干旱灾害发生频繁,制约了沿线国家的安全和社会发展,需要开展干旱监测研究。土壤含水量是干旱监测的重要指标,而温度植被干旱指数能够通过反演表层土壤水分来监测旱情。本数据集基于MODIS植被指数和地表温度产品,结合SRTM DEM数据,利用NDVI-LST特征空间特性,提取特征空间干湿边,获得2000-2017年“中巴经济走廊”逐月温度植被干旱指数数据集。本数据集空间范围为北纬41°25'24.49"~23°45'24.49",东经60°53'57.97"~79°52'27.97",数据格式为GeoTiff,空间分辨率为1km。与气象站观测降水和土壤湿度数据对比分析表明,该产品与SPI和土壤湿度呈负相关关系,相关性较好。本数据集可以为“中巴经济走廊”干旱灾害监测提供基础数据和科技支撑。
关键词:中巴经济走廊;温度植被干旱指数;地表温度;归一化植被指数
Abstract & Keywords
Abstract: Drought disasters happen frequently along the China–Pakistan Economic Corridor (CPEC), which harm the development and safety of the countries along it. It is therefore important to conduct drought monitoring along CPEC. While soil water content (SWC) is a fundamental indicator of drought prediction, temperature vegetation dryness index (TVDI) can predict drought by inverting surface soil water content. Based on a combination of MODIS normalized differential vegetation index (NDVI) and land surface temperature (LST) products and SRTM DEM data, the study used NDVI-LST spatial characteristics to extract the spatial edge of dryness and wetness along CPEC from 2000 – 2017, through which to obtain the monthly TVDI. The study area is from 41°25'24.49"N to 23°45'24.49"N and from 60°53'57.97"E to 79°52'27.97"E. The data are in GeoTiff format, with a spatial resolution of 1 km. We then compared the data with the precipitation and soil water content observed by meteorological stations. Results showed that TVDI had a significantly negative correlation with SPI and SWC (p<0.001). The dataset can be used to support drought monitoring and prediction along CPEC.
Keywords: China–Pakistan Economic Corridor ; temperature vegetation dryness index; land surface temperature; normalized differential vegetation index
稿件与作者信息
冯克庭
Feng Keting
fengkt@lzb.ac.cn
张耀南
Zhang Yaonan
田德宇
Tian Deyu
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