Agricultural Drought Monitoring Model Based on MODIS Data in Hunan Province

Some remote sensing drought indices are being widely used in northern China,but seldom in humid regions of southern China.This takes takes Hunan Province as a study area.Based on RS,GIS and additive combination of Enhanced Vegetation Condition Index(EVCI) and Temperature Condition Index(TCI) from MODIS data,it gave different weights according to the sensitive degree of drought information and established Drought Condition Index(DCI) model.And then the spatial distribution maps of agricultural drought situation grades were obtained.Finally,based on the meteorological drought composite index(CI) from 97 meteorological stations,the correlation was analyzed.The results showed that the linear correlation between drought situation-monitoring model,which was set up on LST and EVI,and CI was significant,the higher weight was assigned to the TCI in the DCI model.And the DCI based on remote sensing data to monitor drought dynamic change still has some reference value.