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Automatic extraction of himalayan glacial lakes with remote sensing

LI Junli~(1,2),SHENG Yongwei~1,LUO Jiancheng~3 1.UCLA Department of Geography,Los Angeles,United States,CA 90095-1524; 2.Xinjiang Institute of Ecology and Geography,CAS,Xinjiang Urumqi 830011,China; 3.Institute of Remote Sensing Applications,CAS,Beijing 100101,China  
The paper develops an automatic lake delineation algorithm based on"global-local"iterative scheme.The author uses NDWI(Normalized Difference Water Index) as the water identification index for the threshold segmentation process,and the slope maps and the shaded relief maps are applied in the algorithm to differentiate the shadow features from water features. Based on these methods,an automatic lakes delineation scheme is proposed to map the glacial lakes with Landsat Imagery in Himalayas mountains area.The results show that the proposed algorithm has good performance on lake mapping over the mountain areas,and lakes can be extracted automatically,accurately and efficiently,while most of melting glaciers and hill shadow features are eliminated from the segmentation processing.
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