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Summary of Proposal GEO2450

TitleMonitoring and seismic disaster assessingon urban-epicentral active faults based on the new-mode SAR data
Investigator Zhang, Jingfa - China Earthquake Administration, Institute of Crustal Dynamics
Team Members
Prof Hanssen, Ramon - Delft University of Technology, Department of Mathematical Geodesy and Positioning
Prof Xu, Caijun - Wuhan University, School of Geodesy and Geomatics
Prof Li, Zhenhong - Newcastle University, School of Civil Engineering and Geosciences
Prof Zeng, Qiming - Peking University, Institute of RS and GIS,School of Earth and Space Sciences
PhD Feng, Wanpeng - University of Glasgow, School of Geographical and Earth Sciences
SummaryObjectives Using thetime series method and two new TerraSAR-X mode data to monitor the surfacedeformation activities near the faults . Buildingobject description model with high-resolution SAR images is established basedon mechanism analysis and feature extraction; information of optical images anddifferent resolution SAR images are integrated to carry out researches ofdamaged building extraction and assessment methods based on geometric structureprediction and SAR/optical images change detection. Methods To monitorthe surface deformation activities near the faults, a small baseline subset (SBAS)algorithm is applied, which limits the orbital separation between radarimage pairs, subsequently increasing the coherence of radar interferograms. TheSBAS processing is adapted for the two TerraSAR-X mode data ,Staring Spotlightand Wide ScanSAR data . To earthquakedisaster assessing, we get SAR or optical images before and after earthquake,which will be used for change detection(SAR-SAR,optical-optical, withsimilar resolution );but sometimes there are SAR- optical, or optical -SAR ,which achieved before-after theearthquake.We usually have optical image before theearthquake, and building areas are extracted with high-resolution opticalimages and three-dimensional parametersare estimated according to their imaging characteristics; these results areused to locate in SAR images preliminary and building detections are conductedbased on characteristics; SAR imaging geometry is predicted based on SARimaging parameters and the estimated three-dimensional building parameters , and then is comparedwith that of real SAR images to judge whether buildings are collapsed or not. Datarequirements Beichuan&Hanwang earthquake ruins: 15 ST+15 ST, 10 WSC Dali: 20 ST, 10 WSC Suqian: 10ST,5 WSC Tangshan: 10ST,5 WSCDeliverables (1) This studywill submit a mean deformation velocity map offaults regions near the cities of Dali, Suqian, Beichuan and Tangshan; (2)Developing a new specific InSAR time series processor for Staring Spotlight andWide ScanSAR data; (3)A damaged buildinganalysis and extraction technology system for quickly seismic disasterassessing is established with multi-source remote sensing images. Funding 2012-2016,ESA-MOST DRAGON-3 Project #10607 "Monitoringcrustal deformation and man-made infrastructure in China using InSARobservations " ; 2012-2015,National High Technology Research and DevelopmentProgram of China (863 Program) "Earthquakedamage assessment techniques based on integrated remote sensing data " 2012AA121304(¥2160000);2013-2016,ChineseNature Science Foundation "Research on spaceborne SAR based changedetection techniques for earthquake damage assessment" 41374050 (¥800000).

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