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Sensors 2017, 17(12), 2770;

Health Diagnosis of Major Transportation Infrastructures in Shanghai Metropolis Using High-Resolution Persistent Scatterer Interferometry

State Key Laboratory of Information Engineering in Survey, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China
Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Lanf and Resources, Shanghai 200072, China
Shanghai Institute of Geological Survey, Shanghai 200072, China
Department of Geoscience and Remote Sensing, Delft University of Technology, 2628 CN Delft, The Netherlands
Author to whom correspondence should be addressed.
Received: 17 October 2017 / Revised: 26 November 2017 / Accepted: 28 November 2017 / Published: 29 November 2017
(This article belongs to the Special Issue Sensors for Deformation Monitoring of Large Civil Infrastructures)
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Since the Persistent Scatterer Synthetic Aperture Radar (SAR) Interferometry (PSI) technology allows the detection of ground subsidence with millimeter accuracy, it is becoming one of the most powerful and economical means for health diagnosis of major transportation infrastructures. However, structures of different types may suffer from various levels of localized subsidence due to the different structural characteristics and subsidence mechanisms. Moreover, in the complex urban scenery, some segments of these infrastructures may be sheltered by surrounding buildings in SAR images, obscuring the desirable signals. Therefore, the subsidence characteristics on different types of structures should be discussed separately and the accuracy of persistent scatterers (PSs) should be optimized. In this study, the PSI-based subsidence mapping over the entire transportation network of Shanghai (more than 10,000 km) is illustrated, achieving the city-wide monitoring specifically along the elevated roads, ground highways and underground subways. The precise geolocation and structural characteristics of infrastructures were combined to effectively guide more accurate identification and separation of PSs along the structures. The experimental results from two neighboring TerraSAR-X stacks from 2013 to 2016 were integrated by joint estimating the measurements in the overlapping area, performing large-scale subsidence mapping and were validated by leveling data, showing highly consistent in terms of subsidence velocities and time-series displacements. Spatial-temporal subsidence patterns on each type of infrastructures are strongly dependent on the operational durations and structural characteristics, as well as the variation of the foundation soil layers. View Full-Text
Keywords: large infrastructures; deformation; high-resolution InSAR; Shanghai large infrastructures; deformation; high-resolution InSAR; Shanghai

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Qin, X.; Yang, M.; Zhang, L.; Yang, T.; Liao, M. Health Diagnosis of Major Transportation Infrastructures in Shanghai Metropolis Using High-Resolution Persistent Scatterer Interferometry. Sensors 2017, 17, 2770.

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