Utilizing multisource remotely sensed data to dynamically monitor drought in China

Sanchao Liu; Wenbo Li

doi:10.1117/12.902743

23 November 2011 Utilizing multisource remotely sensed data to dynamically monitor drought in China

Sanchao Liu, Wenbo Li

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80061H (2011) https://doi.org/10.1117/12.902743
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

Drought is one of major nature disaster in the world and China. China has a vast territory and very different spatio-temporal distribution weather condition. Therefore, drought disasters occur frequently throughout China, which may affect large areas and cause great economic loss every year. In this paper, geostationary meteorological remote sensing data, FY-2C/D/E VISSR and three quantitative remotely sensed models including Cloud Parameters Method (CPM), Vegetation Supply Water Index (VSWI), and Temperature Vegetation Dryness Index (TVDI) have been used to dynamically monitor severe drought in southwest China from 2009 to 2010. The results have effectively revealed the occurrence, development and disappearance of this drought event. The monitoring results can be used for the relevant disaster management departments' decision-making works.

Citation Download Citation

Sanchao Liu and Wenbo Li "Utilizing multisource remotely sensed data to dynamically monitor drought in China", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80061H (23 November 2011); https://doi.org/10.1117/12.902743

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