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Summary of Proposal LAN2588

TitleGlacier change monitoring using X-band SAR
Investigator Lei, Huang - Institute of remote sensing and digital erath, Chinese academy of sciences, microwave remote sensing
Team MemberNo team members defined
SummaryObjectives: 1) To test the ability of TerraSAR-X data inglacier surface zones and snow lines detection. 2) To develop a novel method for high-precisionestimation of mountain glacier thickness changes from the DInSAR interferogramsmeasurements using the SAR data. Method The TerraSAR-X data will be calibrated andthe backscatter coefficient will be used to analyze the physical properties ofdifferent zones of glaciers. The contrast between co-polarization andcross-polarization may also provide important information. We will try to findthe best features to discriminate one zone from others. X-band SAR may besensitive to different zones from C- and L-band. By combining X-,C-,L-band datatogether, more accurate glacier zones may be recognized. The boundary betweenthe wet snow and ice, i.e. the snow line, can also be recognized. In this proposal,we present a new method to estimate the glacier thickness changes of theDongkemadi Glacier from SAR data. This methodology is based on the usage of theDInSAR, which estimates the DEMs from the interferometric phases. The phasedifferences in the two complex SAR images acquired during repeat passes can becalculated by subtracting the phase in one image from the phase in the other.The deformation of the glacier surface caused by glacier flow motion andthickness change in the time interval can be detected by the differentialphases. For derivation of the surface deformation or displacement, anotherinterferogram has to be synthesized. The synthesized interferogram is generatedfrom an external DEM. It is then subtracted from the original interferogram,thereby removing all phases that relate to ground elevation, leaving only thephases that represent glacier surface deformation or displacement. To estimatethe changes in surface thickness, we make use of differential phase and get thedeformation of the glacier surface in LOS. Then we separate the components thatrepresent the glacier thickness changes from the deformation of the glaciersurface in LOS and use these components to calculate glacier thickness changes. Datarequirements: We need 45 TerraSAR images to analyze theglacier changes in different seasons and different glaciers in the TibetPlateau and the Tienshan Mountain. Stripmap Mode, 40scenes High resolution spotlight mode, 5 scenes. Deliverable The data can be delivered using the internet or mail. Funding This research was supported by the NationalNatural Science Foundation of China (Project 41101392 and 41201447).

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