Comprehensive process-based model framework for drought evolution using satellite remote sensing images

Drought disaster monitoring and evaluation model based on remote sensing image is a hot spot in academic circles at home and abroad. However, the existing models have some problems, such as single drought monitoring index, lack of comprehensive monitoring of multiple drought indicators, and lack of comprehensive methods that take into account the whole process of drought evolution. It has become a bottleneck problem that puzzles the large-scale popularization and application of remote sensing drought monitoring technology. Starting with the understanding of the evolution process of drought disaster, this paper puts forward the “four stages” theory of drought disaster evolution, constructs the framework of Remote Sensing Comprehensive Monitoring Model for the characteristics of drought process, and selects the severe drought in Southwest China from November 2009 to May 2010 as an example to verify the model. The results show that the remote sensing drought monitoring maps are basically consistent with the actual situation of drought disaster. It is considered that the comprehensive monitoring model framework for drought evolution using satellite remote sensing images has good suitability and great application potential.