摘要
温度植被干旱指数(Temperature Vegetation Dryness Index,TVDI)是指基于植被指数和地表温度相关关系估测土壤表层水分状况进而反映其所在地区的干旱程度的度量参数。本数据集覆盖的地区为黑龙江流域,时间序列为2007-2018年的4-10月(植被生长季)。该数据集是在MOD13A3植被指数(NDVI)(月度)、MOD11A2地表温度(LST)(8天合成)以及ASTER-DEM数据基础上融合温度植被干旱指数计算模型得到。数据集存储为.tif格式,空间分辨率为1 km,由84个文件组成,数据量为362 MB(压缩为1个文件,319 MB),通过数据集与同期气象站降水和全球表层土壤水数据相关性分析表明,本产品与两者均呈负相关关系并均通过显著性检验。
Temperature Vegetation Dryness Index(TVDI)is the metric parameter which can estimate the status of land surface soil moisture so as to reflect the drought level of the region.The area covered by this dataset is Heilongjiang River basin,the time series is from April to October(Vegetation growing season)during 2007-2018.The dataset is obtained by the combination formed by TVDI calculation model and the data of monthly normalized differential vegetation index(NDVI)MODIS13 A3,8-day synthesized land surface temperature(LST)MOD11 A2 and ASTER-DEM data.The dataset is in Geo Tiff format,with a spatial resolution of 1 km and consists of 84 files,the data size is 362 MB.
作者
周业智
王卷乐
李凯
Zhou Y.Z.;WangJ.L.;Li K.(State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;College of Geoscience and Surveying Engineering,China University of Mining&Technology(Beijing),Beijing 100083,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China)
出处
《全球变化数据学报（中英文）》
CSCD
2021年第3期333-345,472-484,共26页
Journal of Global Change Data & Discovery
基金
中国科学院(Y9X90050Y2)
中国工程院(CKCEST-2020-2-4)
