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...

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Bibliographic Details
Main Authors: Sanchao Liu, Wenbo Li
Format: Conference Proceeding
Language:English
Subjects:
Clouds
CPM
drought monitor
HJ-1-B
Indexes
Land surface temperature
MODIS
Monitoring
Remote sensing
Temperature sensors
TVDI
Vegetation mapping
VSWI
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Summary: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.
DOI:10.1109/FSKD.2011.6020050