Title :
The study on drought monitoring based on multi-source remotely sensed images
Author :
Sanchao Liu ; Wenbo Li
Author_Institution :
Key Lab. of Disaster Reduction & Emergency Respose Eng. of the Minist. of Civil Affairs, Nat. Disaster Reduction Center of China, Beijing, China
Abstract :
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 HJ-CCD/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.
Keywords :
disasters; hydrological techniques; hydrology; radiometry; vegetation mapping; AD 2009; Cloud Parameters Method; FY-VISSR remotely sensed data; HJ-CCD-IRS remotely sensed data; MODIS remotely sensed data; Temperature Vegetation Dryness Index; Vegetation Supply Water Index; decision-making information source; drought monitoring; monitoring models; multisource remotely sensed images; natural disasters management; north China; Clouds; Indexes; Land surface temperature; Monitoring; Remote sensing; Temperature sensors; Vegetation mapping; CPM; HJ-1-B; MODIS; TVDI; VSWI; drought monitor; remote sensing;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
DOI :
10.1109/FSKD.2011.6020050
