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Summary of Proposal LAN2945

TitleLand Subsidence Monitoring of Kunming Area Using Time Series TerraSAR-X images
Investigator lingli, yangya - Kunming University of Science and Technology, Faculty of Land Resource Engineering
Team Member
Master lin, xiao - Kunming University of Science and Technology, Faculty of Land Resource Engineering
PhD candidates jianwei, xiao - Kunming University of Science and Technology, Faculty of Land Resource Engineering
Summary

InSAR is a relatively new and powerful technology for observing the Earth surface. The wide spatial range, high resolution and competitive measurement accuracy make it a very unique technology form land subsidence monitoring. Kunming, a moderate historical city located in North China, is subject to land subsidence. To monitor the temporal evolution of the subsidence, the small baseline subset (SBAS) algorithm is used for interferometric synthetic aperture radar (SAR) time series analysis. To limit the spatial and temporal decorrelation phenomena, the interferograms produced from TerraSAR-X data are characterized by small spatial and temporal baselines. Accordingly, some independent SAR acquisition data sets separated by large spatial and temporal baselines may be used in the time series analysis. To link the separate data sets, a smoothing constraint that minimizes the curvature of the subsidence temporal evolution is added to the least squares method. The optimum smoothing factor estimated in the smoothed time series analysis reduces the atmospheric noise, unwrapping and orbital errors whereas it preserves the non-linear seasonal deformation features. The main objective of this proposal is to study the land subsidence tendency of Kunming Area. The research team is well equipped with both the necessary hardware and software for InSAR data processing and analysis. We also get some ground point subsidence data using GPS in this area.

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DLR 2004-2016