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《Remote Sensing Technology and Application》 2017-01
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A Study on Cloud-free Snow Cover Product in Yalong River Area

Chen Bin;Wang Wen;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University;  
The daily MODIS snow cover(SC)product has high accuracy under clear sky,but cloud contamination causes serious data defect missing.Snow monitoring accuracy of IMS and SWE needs to be improved due to the lower resolution.So,the Yalong River and its surrounding area in China is taken as an example to produce a cloud-free snow cover product,cloud pixels are reclassified by combining multi-temporal MODIS products,the adjacent day method and improved SNOWL algorithm,then partially snow covered area is reclassified by cloud-free snow product:IMS and SWE.Then validation of this product is compared with observation "truth" extracted from HJ-1Bby visual interpretation method.The result shows improved algorithm can get a cloud-free product with better snow consistency rate and overall classification accuracy with observations.Overall,problems of data missing caused by cloud contamination and inadequate accuracy of IMS,SWE are solved.
【Fund】: 国家科技支撑计划项目(2013BAB05B01)
【CateGory Index】: P407;P426.635
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