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| 利用被动微波数据AMSR-E对2008年中国南方雪灾监测分析 | |
| 引用本文： | 毛克彪,唐华俊,周清波,王建明,马柱国.利用被动微波数据AMSR-E对2008年中国南方雪灾监测分析[J].中国农业资源与区划,2009,30(1):46-50. |
| 作者姓名： | 毛克彪 唐华俊 周清波 王建明 马柱国 |
| 作者单位： | 1. 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,北京,100081;北京卫星信息工程研究所,北京,100086 2. 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,北京,100081 3. 北京卫星信息工程研究所,北京,100086 4. 中国科学院大气物理研究所,北京,100029 |
| 基金项目： | 国家高技术研究发展计划(863计划)，中央级公益性科研院所基本科研业务费专项基金，中国科学院东亚区域气候-环境重点实验室开放基金，农业部资源遥感与数字农业重点开放实验室开放基金 |
| 摘 要： | 2008年中国南方地区遭遇50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。该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。 |
| 关 键 词： | 南方雪灾 亮度温度 AMSR-E 2008年 |
Supervision and Analysis on Southern China's Snow Disaster in 2008 by Using Passive Microwave Data AMSR-E |
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| Mao Kebiao,Tang Huajun,Zhou Qingbo,Wang Jianming,Ma Zhuguo.Supervision and Analysis on Southern China''s Snow Disaster in 2008 by Using Passive Microwave Data AMSR-E[J].Journal of China Agricultural Resources and Regional Planning,2009,30(1):46-50. | |
| Authors: | Mao Kebiao Tang Huajun Zhou Qingbo Wang Jianming Ma Zhuguo |
| Institution: | Mao Kebiao1,2,3,Tang Huajun1,Zhou Qingbo1,Wang Jianming2,Ma Zhuguo3(1.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,Beijing 100081;2.College of Global Change and Earth System,Beijing Normal University,Beijing 100875;3.Key Laboratory of Regional Climate-Environment Research for Temperate East Asia(RCE-TEA),Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029) |
| Abstract: | In 2008,Southern China Regions suffered severely from the weather of low temperature,rain and snow,and frost,which never occurred during the past 50 years.Electric power,transportation,communication,buildings,farm fields were havoc.Supervision,analysis and evaluation for the situation of disasters and guidance for fighting and rescuing those disasters were urgently needed by utilizing secondary plant remote sensing video.Optics and remote sensing by heat red outer ray were heavily influenced by clouds and weather.This real time supervision carried analyzes mainly by utilizing microwave data.Owing to the vast areas and big intensity hit by natural disasters,passive microwave data AMSR-E was a very good choice.This paper mainly introduces how AMSR-E data was utilized during snow occurrence to test and analyze the changes of areas suffered from snow and the distribution of snow thickness(intensity).Results indicate passive microwave data could be commendably utilized to supervise changes of snow covering areas and intensity distribution,but further studies need to be carried on coastal(lake) regions. |
| Keywords: | AMSR-E |
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