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Summary of Proposal LAN1608

TitleSurface dynamic monitoring over rugged mountain area utilize time series SAR remote sensing technique in Central Asia
Investigator Liu, Guang - Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Division of Digital Earth Lab.
Team Member
Associate Proffesor Fan, Jinhui - China Aero Geophysical Survey & RS Center for Land and Resources, Ministry of Land and Resource of China
Associate Professor Yan, huaining - China Earthquake Administration (CEA), China Earthquake Emergency Rescue Center
SummaryNowadays, in china the Tibet plateau has been study a lot for its effect and activity in global environment change, but the study of Center Asia is not so much, for its small population and ordinary environment, anyhow it has a wide coverage, and very suitable for study by remote sensing technique, and now it is becoming attract the eye of researchers for the water problem and earthquake problem there. Central Asian has an area more than 11,000 Km2, and more than 2/3 areas are the mountainous area and there is most of people lived in mountainous area, there are more than 4000 glaciers in this area, and in Kyrgyzstan there are 90% area has an altitude above 1500m, 4/5 are mountain areas. Because of the topography, there always has land and glacier surface movement of mountain area, monitoring the surface movement is very difficult task in these areas.In this study we will use SAR interferometry to study the movement of glacier and the faults, InSAR is an effective remote sensing technique for surface movement monitoring, and it has been successfully used in many areas especially in urban area subsidence monitoring, however, rugged mountain area such as faultage or mountain glacier are often difficult to monitor with InSAR technique due to layover, foreshortening and shadow, in addition, rugged topography cause a big challenge in compensating residual topographic phase even with a accurate DEM. This research will aim at analyzing and monitoring the slow land surface movement over mountain area in center Aisa by time series SAR interferometry using multi-source SAR data. The common used polynomial based coregistration method doesn’t work well in mountain area, new attemptation including external DEM assisted and local optimum criteria based SAR image coregistration methods will be developed so as to improve the coregistration accuracy in mountain area, in order to improve the time series analysis technique and make it applicable to the mountain area, multi criteria stable point targets select method, DEM based network construction method, orbit reestimation method, InSAR and GPS fusion, in common sense L band SAR images have a better correlation in large temporal and spatial baseline, we will use independent satellite orbits and sensors of TSX and ALOS PALSAR for comparison in the test site, and they will be used for independent and possible combined validation for the derived land subsidence results as well. This research work is funded by 5 years 973 project (2009-2013) and 5 years national science funding (2012-2016).

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