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基于多源遥感数据的TVDI方法在荒漠草原旱情监测的应用

王思楠 李瑞平 韩刚 胡文 田鑫

安徽农业大学学报2017,Vol.44Issue(3):458-464,7.
安徽农业大学学报2017,Vol.44Issue(3):458-464,7.DOI:10.13610/j.cnki.1672-352x.20170524.015

基于多源遥感数据的TVDI方法在荒漠草原旱情监测的应用

Application of the multi-source remote sensing data-based TVDI method in monitoring desert grassland drought

王思楠 1李瑞平 1韩刚 1胡文 1田鑫1

作者信息

  • 1. 内蒙古农业大学水利与土木建筑工程学院,呼和浩特010018
  • 折叠

摘要

Abstract

An investigation of the drought condition was conducted in Wushen County Desert Grassland,a drought prone region of the Inner Mongolia Autonomous Regions using the MODIS data with low spatial resolution and the Landast 8 data with high spatial resolution.With a drought monitoring model that was built on temperature vegetation drought index (TVDI) in the split window algorithm for retrieving land surface temperature (Ts) and the normalized difference vegetation index (NDVI),the inversion of MODIS-TVDI and Landast8-TVDI were conducted and a regression analysis was made with the measured soil moisture in different depths.The results showed that the linear correlation was significant between soil the moisture in different layers and the TVDI calculated from two remote sensing data of MODIS and Landast8,Both of them could characterize the drought distribution in the land surface.Besides,the correlation between Landast8-TVDI and the soil moisture of each layer was greater than that between MODIS-TVDI and the soil moisture.Of which,the correlation in the surface layer of 0-10 cm was better than that in the layer of 0-20 and 0-30 cm.Therefore,Landast8-TVDI could better reflect the status of soil moisture in the desert grassland and is more suitable for drought monitoring.

关键词

多源遥感数据/温度植被干旱指数/土壤含水量/荒漠草原

Key words

multi-source remote sensing data/temperature vegetation drought index/soil water content/desert grassland

分类

信息技术与安全科学

引用本文复制引用

王思楠,李瑞平,韩刚,胡文,田鑫..基于多源遥感数据的TVDI方法在荒漠草原旱情监测的应用[J].安徽农业大学学报,2017,44(3):458-464,7.

基金项目

内蒙古自治区自然科学基金(2015MS0513),内蒙古自治区科技计划项目(20140153)和内蒙古自治区水利科技项目(NSK201403)共同资助. (2015MS0513)

安徽农业大学学报

OACSCDCSTPCD

1672-352X

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