Utilizing multi-source remotely sensed data to dynamically monitor drought in China
Drought is one of major nature disaster in the world and China. China has a vast territory and very different spatiotemporal 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.
Drought remote sensing FY-2C/D cloud parameters method vegetation supply index temperature vegetation index
Sanchao Liu Wenbo Li
Key Laboratory of Disaster Reduction and Emergency Response Engineering of the Ministry ofCivil Affa Institute of Intelligent Machines, Chinese Academy of Sciences, 350 Shushanhu Road, Hefei, China 230
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）