Science Service System

Summary of Proposal GEO3149

TitleGround subsidence monitoring research in Suzhou
Investigator Yuan, Ming - Suzhou University of Science and Technology, Department of Spatial Information and Surveying Engineering
Team Member
doctor,vice Yan, Yong - team member, Department of Spatial Information and Surveying Engineering
Doctor Zhang, Lina - team member, Department of Spatial Information and Surveying Engineering
Doctor Bai, Junwu - team member, Department of Spatial Information and Surveying Engineering
SummaryIn this study, we want to integrate InSAR, GPS, and leveling data together to extract the ground subsidence information of high building in Suzhou.The basic idea is to apply a persistent scatterers InSAR (PSI) method and to integrate GPS positions and high precision leveling data to validate, calibrate and improve the PSI quality.The research will include realization of PSI through theoretical analysis and programming, co-registering of surveying points of GPS and leveling with the InSAR pixels. We are planning to study the time series moving of high building with better resolution SAR data and GPS,in order to find whether there are subsidence in the building or just some seasonal or physical shifting. As the geological condition is very poor in Suzhou and there are too many underground artificial construction. So we are planning to make some experiments by use of Terra SAR and real-time GPS to monitor the subsidence of high buildings. The results will be compared in time series to find the settlement of the high building. Conclusionand recommendation will be given on the issue of monitoring ground subsidence using InSAR technology in Suzhou, such as the accuracy and reliability of the ground subsidence obtained, the methodology of PS-InSAR and integration with GPS and leveling and the operational capability of the technique etc. Stripmap single data are mainly needed in Suzhou in China. This research will involve the acquisition of 20 images from the Terra SAR data archive every year.

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DLR 2004-2016