Snow Cover Monitoring in Qinghai-Tibetan Plateau Based on Chinese Fengyun-3/VIRR Data |
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| Authors: | Yonghong Zhang Xi Kan Wei Ren Ting Cao Wei Tian Jiangeng Wang |
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| Institution: | 1.School of Information and Control,Nanjing University of Information Science and Technology,Nanjing,China;2.Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology,Nanjing,China;3.School of Atmospheric Science,Nanjing University of Information Science and Technology,Nanjing,China;4.School of Computer and Software,Nanjing University of Information Science and Technology,Nanjing,China;5.School of Atmospheric Physics,Nanjing University of Information Science and Technology,Nanjing,China |
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| Abstract: | Snow cover monitoring in the Qinghai-Tibetan Plateau is very important to global climate change research. Because of the geographic distribution of ground meteorological stations in Qinghai-Tibetan Plateau is too sparse, satellite remote sensing became the only choice for snow cover monitoring in Qinghai-Tibetan Plateau. In this paper, multi-channel data from Visible and Infrared Radiometer (VIRR) on Chinese polar orbiting meteorological satellites Fengyun-3(FY-3) are utilized for snow cover monitoring, in this work, the distribution of snow cover is extracted from the normalized difference snow index(NDSI), and the multi-channel threshold from the brightness temperature difference in infrared channels. Then, the monitoring results of FY-3A and FY-3B are combined to generate the daily composited snow cover product. Finally, the snow cover products from MODIS and FY-3 are both verified by snow depth of meteorological station observations, result shows that the FY-3 products and MODIS products are basically consistent, the overall accuracy of FY-3 products is higher than MODIS products by nearly 1 %. And the cloud coverage rate of FY-3 products is less than MODIS by 2.64 %. This work indicates that FY-3/VIRR data can be reliable data sources for monitoring snow cover in the Qinghai-Tibetan Plateau. |
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