Science Service System

Summary of Proposal HYD2278

TitleMappingof Snow disaster coverage in pasture area with wide scanSAR
Investigator Ji, Xiaonan - University of Electronic Science and Technology of China, Institute of Automation Engineering
Team Members
Professor Tong, Ling - University of Electronic Science and Technology of China, Microwave Remote Sensing Laboratory
Professor Chen, Yan - University of Electronic Science and Technology of China, Microwave Remote Sensing Laboratory
Associate professor Chen, Yunping - University of Electronic Science and Technology of China, Microwave Remote Sensing Laboratory
Associate professor Li, Yuxia - University of Electronic Science and Technology of China, Microwave Remote Sensing Laboratory
Associate professor Gao, Bo - University of Electronic Science and Technology of China, Microwave Remote Sensing Laboratory
Mr. Wu, Baolong - University of Electronic Science and Technology of China, Microwave Remote Sensing Laboratory
Doctor Luo, Shiyu - University of Electronic Science and Technology of China, Microwave Remote Sensing Laboratory
SummaryOur project entitled ”Mapping of Snow disaster coverage inpasture area with wide ScanSAR”is supported by the National Natural ScienceFoundation of China (NSFC). We propose a research plan to revolutionize ourability to monitor the snow disaster of the pasture regions in winter. We mainly consider two factors todetect snow: the change of the backscattering coefficient before and after snowand the difference in coherence between snow cover and snow free area. Studieshave shown that: Due to the rising of the water contained in snow in themelting season, the backscattering coefficient of SAR image significantlyreduced compared to dry snow or no snow image. The coherence of thesnow-covered area is lower than bare soil or rocky area. Firstly, we will usethe different coherence of different features’ to retrieve snow and waterareas. Then the backscattering coefficient will be used to classify snow andwater. At last, the snow cover map will be made out. We also can use the changeof backscattering coefficient or the change of coherence before and after snowto retrieve snow-covered areas directly. Specific objectives of theproposed activity include: 1)an initial assessment of TERRASAR-X data acquired by the wide ScanSAR mode aimed at themapping of the snow disaster;2) propose an analytical model that accounts for snowor ice at the grassland;3) assess the coverage area of the snow disaster. Theexpected impacts of the project, to be finalized with the preparation ofapplication demonstration examples and the publication of results, include thedemonstration and assessment of TERRASAR-X WideScanSAR data for snow disaster coverage measurement in pasture area. The dataobtained from TERRASAR-X is crucial for success of this project. We arewriting this proposal to acquire new TERRASAR-XSAR data for the research. We would like to obtain the TERRASAR-X data acquired by wide ScanSAR mode at least 6 images fromJanuary to June, in Ulan Buh, Inner Mongolia, China.

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