An AMSR-E Monitoring of Snowstorm-Disaster in South-China in 2008 Year

文献类型： 外文期刊

第一作者： Mao Kebiao

作者： Mao Kebiao;Wang Jianming;Zhang Mengyang;Mao Kebiao;Tang Huajun;Zhou Qingbo

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关键词： Snowstorm-Disaster;Brightness Temperature;AMSR-E data

期刊名称：2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 1, PROCEEDINGS

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年卷期： 2009 年

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收录情况： SCI

摘要： It is experienced the low temperature, rain, snow, cold weather never happened over the past 50 years in the South-China in 2008 year. The electricity, transportation, communication, house and farmland have been seriously damaged. It is very urgent to monitor disaster by using remote sensing images, assess and guide disaster relief. Optical and thermal infrared remote sensing is influenced much by atmospheric clouds, so the microwave data is the best choice to monitor and analyze the development of disaster. As the scope of the affected area is very large, passive microwave data AMSR-E is used to monitor the change of snow-area and the distribution of snow-depth (intensity). The application analysis indicates that passive microwave data can be well utilized to monitor changes in snow cover and the intensity distribution, and more study should be made further for mixed pixel including water.

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[1]An Algorithm for Surface Soil Moisture Retrieval Using the Microwave Polarization Difference Index. Mao, Kebiao,Zhang, Lixin,Jiang, Lingmei,Mao, Kebiao,Mao, Kebiao,Qin, Zhihao,Xu, Bin,Qin, Zhihao,Li, Manchun. 2006

[2]Retrieval snow depth by artificial neural network methodology from integrated AMSR-E and in-situ data-A case study in Qinghai-Tibet Plateau. Cao Yungang,Yang Xiuchun,Zhu Xiaohua. 2008

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