Suitability And Uncertainty Analysis Of Agricultural Drought Indicator With Remote Sensing

Drought is the most outstanding extreme natural phenomena, which leads to the largest damage to human being among the natural disasters. The drought monitoring and research has being developed for a long time, and more and more drought monitoring systems are working over the world. The drought monitoring research and application has shown that remote sensing data can get the drought information with high spatial and temporal resolution. However, the current drought systems based on remote sensing don't analyse the Suitability and uncertainty, so the accuracy of the drought monitoring result is not so high. Based on Suitability and uncertainty analysis of agricultural drought indicator, this paper built up the agricultural drought indicator dataset to satisfy the China agricultural drought monitoring.At first, the suitability and uncertainty was discussed at small-scale in Taigu ,Shanxi Province, and then at big scale in Jining, Shandong Province. Secondly, in Shanxi Provinc, the suitability and uncertainty was analysed at a bigger scale. At last, using the same method and frame, this paper got the suitability and uncertainty of agricultural drought indicator with TCI, VCI, VHI and soil moisture during 2001-2004, and set up the drought indicator dataset to monitor drought of 2005. The main achievements of this paper are as following:1) Considering the spatial and temporal characteristics of suitability of agricultural drought indicator derived from remote sensing, this paper brought forward Crop Vegetation Health Index (cVHI) and got the China agricultural drought indicator dataset based on the suitability analysis and basally agricultural drought district map.2) Using NDVI, TS and soil moisture data, this paper has set up drought...