The study on drought monitoring based on multi- source remotely sensed images
Drought is one major nature disasters in the world and also in China. Drought can affect large areas and cause great economic loss in China every year. In this paper, three drought monitoring models, such as Vegetation Supply Water Index (VSWI), Temperature Vegetation Dryness Index (TVDI) and Cloud Parameters Method (CPM), based on multi-source remote sensing images have been focused on. The three drought quantitative remote sensing monitoring models and multi-source remotely sensed data including HJCCD/IRS, FY-VISSR and MODIS have been used to monitor the drought in the national scale in China, in the areas between Hebei and Inner Mongolia and in north China in 2009. The results show that the multi-source remote sensing images can effectively reveal the occurrence, development ad disappearance of drought and which can be used as a decision-making information source for the natural disasters management.
remote sensing drought monitor HJ-l-B MODIS VSWI TVDI CPM
Sanchao Liu Wenbo Li
Key Laboratory of Disaster Reduction and Emergency Respose Engineering of the Ministry of Civil Affa Institute of Intelligent Machines Chinese Academy of Sciences 350 Shushanhu Road, Hefei, China 23003
国际会议
上海
英文
2701-2704
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）