10 April 2018 Dynamic analysis of urban ground subsidence in Beijing based on the permanent scattering InSAR technology
Xian Gang Luo, Jingjing Wang, Zhanya Xu, Shuang Zhu, Lingsheng Meng, Jiakui Liu, Yi Cui
Author Affiliations +
Abstract
Differential interferometry synthetic aperture radar (D-InSAR) is susceptible to time and space coherence and atmospheric delay in the monitoring process, resulting in a significant reduction. Permanent scattering interferometry (PS-InSAR) technology can effectively improve the temporal and spatial resolution of deformation monitoring and the precision of the solution, reduce the time and space coherent effect, and weaken the error caused by the atmospheric delay. Due to the above advantages, PS-InSAR is a powerful means to obtain the information of ground subsidence monitoring. This study selected the Beijing urban land subsidence area as the research area, used the ASAR data for 30 scenes of 2012 to 2015. The interference of the permanent scattering technique and the stamps method were used to evaluate the phase unwrapping and remove the terrain, atmospheric, and orbit error, finally to obtain the interference measurement result of the time series in Beijing area. This paper preliminarily verified the correctness of the interference measurement results, and further analyzed the dynamic change and spatial distribution trend of the urban land subsidence rate in Beijing, provided the reliable and detailed observation data for predicting the urban deformation disaster, and provided the guidance basis for the prevention of the urban land subsidence deformation.
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2018/$25.00 © 2018 SPIE
Xian Gang Luo, Jingjing Wang, Zhanya Xu, Shuang Zhu, Lingsheng Meng, Jiakui Liu, and Yi Cui "Dynamic analysis of urban ground subsidence in Beijing based on the permanent scattering InSAR technology," Journal of Applied Remote Sensing 12(2), 026001 (10 April 2018). https://doi.org/10.1117/1.JRS.12.026001
Received: 16 June 2017; Accepted: 2 March 2018; Published: 10 April 2018
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Cited by 10 scholarly publications.
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KEYWORDS
Picosecond phenomena

Scattering

Synthetic aperture radar

Interferometric synthetic aperture radar

Interferometry

Image processing

Satellites

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