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Ground Subsidence Investigation in Fuoshan, China, Based on SBAS-InSAR Technology with TerraSAR-X Images

1
Laboratory of Radar Remote Sensing Applications, Changsha University of Science & Technology, Changsha 410014, China
2
School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410014, China
3
School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410014, China
4
Key Laboratory of Road Structure and Material of Ministry of Transport (Changsha), Changsha University of Science & Technology, Changsha 410014, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(10), 2038; https://doi.org/10.3390/app9102038 (registering DOI)
Received: 11 April 2019 / Revised: 9 May 2019 / Accepted: 15 May 2019 / Published: 17 May 2019
(This article belongs to the Special Issue Future-Ready Sustainable Infrastructure Systems)
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Abstract

Highways built on soft clay subgrade are more prone to subsidence due to the geotechnical characteristics of soft clay. Monitoring ground movements in this area is significant for understanding the deformation dynamics and reducing maintenance cost as well. In this paper, small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) technique is exploited to obtain and investigate the time series ground surface deformation after the construction of a road embankment over soft clay settlement. Considering the important effect of temporal deformation models on the final accuracy of estimated deformation, both the linear velocity model and seasonal deformation model are utilized to conduct the comparative investigation of deformation time series. Two highways in Fuoshan, China—G1501 Guangzhou Belt Highway and Lungui Highway—were selected as the test area. Thirteen TerraSAR-X images acquired from October 2014 to November 2015 were analyzed. Comparative study based on two groups of analyses generated from the two models for both highways were conducted. Consequently, several feature points distributed near the two highways were analyzed in detail to understand the temporal evolution of the settlement. In order to evaluate the reliability of our measurements, the residual phase was analyzed to assess the modelling accuracy of the two models. In addition, leveling data were also used to validate the experimental results. Our measurements suggest that the seasonal model is more suitable for the test highways, with an accuracy of ±3 mm with respect to the leveling results. View Full-Text
Keywords: InSAR; soft clay; time series; deformation; seasonal model InSAR; soft clay; time series; deformation; seasonal model
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Zhu, Y.; Xing, X.; Chen, L.; Yuan, Z.; Tang, P. Ground Subsidence Investigation in Fuoshan, China, Based on SBAS-InSAR Technology with TerraSAR-X Images. Appl. Sci. 2019, 9, 2038.

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