ISPRS Archives XXXVIII-8/W3 Workshop Proceedings: Impact of Climate Change on Agriculture 25 RESEARCH ON DYNAMIC DROUGHT MONITORING METHOD BASED ON REMOTE SENSING AND PRECIPITATION INFORMATION

There are great advantages in using multi-temporal, multi-spectral and hyperspectral remote sensing data for dynamically and macroscopically monitoring widespread land surface. Exercising this advantage, dynamically adaptive regional drought monitoring system is established, combined with meteorological and hydrological information based upon actual ground measurements for different regions and time domain. First of all, several important factors affecting soil moisture were investigated, as well as the relationship among these factors based on the mechanism and process of drought occurring. Then, work was carried out on the establishment of empirical drought model using statistical methods based on the drought evaluation factors, and to make dynamic correction and evaluation of the results by using soil moisture data based upon actual ground measurements. In order to verify the integrated model of drought proposed in this paper, regional integrated model of drought in time scale of ten days was established for Hubei and Hebei province in China. It showed that it is feasible to establish dynamic, real time, accurate, and adaptive regional drought monitoring model using remote sensing.