An AMSR-E Data Unmixing Method for Monitoring Flood and Waterlogging Disaster

被引:0
作者
GU Lingjia1
2.College of Electronic Science & Engineering
机构
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
passive microwave unmixing method; flood and waterlogging disaster; surface type classification; AMSR-E; MODIS; Yongji County of Jilin Province;
D O I
暂无
中图分类号
X43 [自然灾害及其防治];
学科分类号
083002 ; 0837 ;
摘要
Spectral remote sensing technique is usually used to monitor flood and waterlogging disaster.Although spectral remote sensing data have many advantages for ground information observation,such as real time and high spatial resolution,they are often interfered by clouds,haze and rain.As a result,it is very difficult to retrieve ground information from spectral remote sensing data under those conditions.Compared with spectral remote sensing tech-nique,passive microwave remote sensing technique has obvious superiority in most weather conditions.However,the main drawback of passive microwave remote sensing is the extreme low spatial resolution.Considering the wide ap-plication of the Advanced Microwave Scanning Radiometer-Earth Observing System(AMSR-E) data,an AMSR-E data unmixing method was proposed in this paper based on Bellerby’s algorithm.By utilizing the surface type classifi-cation results with high spatial resolution,the proposed unmixing method can obtain the component brightness tem-perature and corresponding spatial position distribution,which effectively improve the spatial resolution of passive microwave remote sensing data.Through researching the AMSR-E unmixed data of Yongji County,Jilin Provinc,Northeast China after the worst flood and waterlogging disaster occurred on July 28,2010,the experimental results demonstrated that the AMSR-E unmixed data could effectively evaluate the flood and waterlogging disaster.
引用
收藏
页码:666 / 675
页数:10
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