【作者】 毛克彪； 唐华俊； 周清波； 缪建明； 马柱国；

【Author】 Mao Kebiao;Tang Huajun;Zhou Qingbo;Miao Jianming;Ma Zhuguo;Key Laboratory of Resources Remote Sensing and Digital Agriculture, MOA, Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences;Key Laboratory of Regional Climate-Environment Research for Temperate East Asia (RCE-TEA),Institute of Atmospheric Physics, Chinese Academy of Sciences;

【机构】 农业部资源遥感与数字农业重点开放实验室/呼伦贝尔草原生态系统国家野外科学观测研究站/中国农业科学院农业资源与农业区划研究所； 中国科学院大气物理研究所东亚区域气候-环境重点实验室；

【摘要】 2008年中国南方地区遭遇五十年不遇的低温、雨雪、冰冻天气,电力、交通、通信、房屋、农田等受到严重破坏,迫切需要利用卫星遥感影像对灾情进行监测、分析评估,指导抗灾救灾。光学和热红外遥感受云和大气的影响比较大,此次实时监测主要利用微波数据进行分析。由于受灾范围面积广、强度大,被动微波数据AMSR-E是很好的选择。本文主要介绍对在雪灾发生期间利用AMSR-E数据监测雪灾面积变化和厚度(强度)分布,应用分析表明被动微波数据能够很好地用来监测雪覆盖面积变化和强度分布,但在沿海(湖泊)地区需要进一步加强研究。更多还原

【Abstract】 It is experienced the low temperature, rain, snow, cold weather never happened over the past 50 years in the South-China in 2008 year, and electricity, transport, communications, housing and farmland have been seriously damaged. It is very urgent to monitor disaster by using satellite remote sensing images, assess to guide disaster relief. Optical and thermal infrared remote sensing are influenced much by atmospheric clouds, so the microwave data is used to monitor for analyzing the development of disaster. As the scope of the affected area and the intensity is very high, Passive Microwave Data AMSR-E is a good choice. This paper introduces the change of snow-disaster area and the distribution of snow-depth(intensity) by using the AMSR-E data, and the application analysis indicate that passive microwave data can be well used to monitor changes in snow cover and the intensity distribution, and study should be made at the verge of sea(lakes).更多还原