A new MODIS daily cloud free snow cover mapping
algorithm on the Tibetan Plateau |
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| Authors: | XiaoDong Huang XiaoHua Hao QiSheng Feng Wei Wang and TianGang Liang |
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| Institution: | State Key Laboratory of Grassland Agro-ecology Systems, College of Pastoral Agriculture Science and Technology, Lanzhou
University, Lanzhou, Gansu 730020, China;Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu
730000, China;State Key Laboratory of Grassland Agro-ecology Systems, College of Pastoral Agriculture Science and Technology, Lanzhou
University, Lanzhou, Gansu 730020, China;State Key Laboratory of Grassland Agro-ecology Systems, College of Pastoral Agriculture Science and Technology, Lanzhou
University, Lanzhou, Gansu 730020, China;State Key Laboratory of Grassland Agro-ecology Systems, College of Pastoral Agriculture Science and Technology, Lanzhou
University, Lanzhou, Gansu 730020, China |
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| Abstract: | Because of similar reflective characteristics of snow and cloud, the weather status seriously affects snow monitoring using optical
remote sensing data. Cloud amount analysis during 2010 to 2011 snow seasons shows that cloud cover is the major limitation for
snow cover monitoring using MOD10A1 and MYD10A1. By use of MODIS daily snow cover products and AMSR-E snow water
equivalent products (SWE), several cloud elimination methods were integrated to produce a new daily cloud free snow cover
product, and information of snow depth from 85 climate stations in Tibetan Plateau area (TP) were used to validate the accuracy of
the new composite snow cover product. The results indicate that snow classification accuracy of the new daily snow cover product
reaches 91.7% when snow depth is over 3 cm. This suggests that the new daily snow cover mapping algorithm is suitable for
monitoring snow cover dynamic changes in TP. |
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| Keywords: | MODIS snow cover cloud contamination elimination Tibetan Plateau |
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