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Automatic extraction of water body based on EOS/MODIS remotely sensed imagery

As a new type of remotely sensed resources, EOS/MODIS imagery has moderate spatial resolution, high temporal resolution and high spectral resolution. Based on the spectral character analyses of water body in EOS/MODIS images, this paper proposes models of water body extraction from EOS/MODIS remotely sensed imagery. It shows that the spectral differences between water body and other targets in a single channel of EOS/MODIS image are not very clear; however, their spectral relationship differences between different channels of EOS/MODIS images are obvious. Water body can be segmented and extracted by the criteria of NDWI<-0.1 or NDVI<0.04 & (CH4-CH5)>2.0. The precisions of water body extraction with the established models are up to 90%.