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Land subsidence detection and analysis over Beijing-Tianjin-Hebei area based on Sentinel-1A TS-DInSAR

  • role： First author第一作者
  • Affiliation：

    Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

  • Email：swjtugyl@qq.com
  • Introduction：李广宇，1992年生，男，硕士研究生，研究方向为合成孔径雷达干涉。E-mail： swjtugyl@qq.com
Guangyu LI1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

    State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 611756, China

  • Email：zhangrui@swjtu.edu.cn
  • Introduction：张瑞，1982年生，男，讲师，研究方向为InSAR及高分辨率卫星遥感。E-mail： zhangrui@swjtu.edu.cn
Rui ZHANG12*,  
  • Affiliation：

    Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

    State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 611756, China

Guoxiang LIU12,  
  • Affiliation：

    School of Civil Engineering and Architecture, Southwest Petroleum University, Chengdu 610500, China

Bing YU3,  
  • Affiliation：

    Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

Bo ZHANG1,  
  • Affiliation：

    College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China

    State Key Laboratory of Geohazard Prevention and Geoenvironment Protection (Chengdu University of Technology), Chengdu 610059, China

Keren DAI45,  
  • Affiliation：

    Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

Jiawen BAO1,  
  • Affiliation：

    Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

Bowen WEI1

resumen

In recent years, a differential subsidence of the Beijing-Tianjin-Hebei Plain has become an increasingly significant issue. The safety of the country’s infrastructures, such as highways and railways, is seriously threatened, thereby arousing considerable attention at home and abroad. The time-series differential synthetic aperture radar interferometry (TS-DInSAR) has a wide-area deformation measurement relative to traditional measurement methods, such as GPS and leveling, and has been applied extensively. Therefore, the current research focuses on accurately extracting a large-scale surface deformation by using high-potential image data. An integrated method is optimized in this research to apply Synthetic Aperture Radar interferometry (SAR) images of the Terrain Observation by Progressive Scan (TOPS) mode and accurately extract a large-scale surface deformation based on a novel Sentinel-1A source released by the ESA and time-series analysis of interferometric point targets (TSA-IPT). The present research uses an external high-precision digital surface model and POD and applies a spectral shift filtering iteration to suppress the phase jump caused by spectral decorrelation between bursts, thereby allowing the TOPS mode Sentinel-1A data to satisfy the requirements of registration accuracy of TS-DInSAR. Meanwhile, setting the regression analysis parameters and designing the processing flow are discussed using the TSA-IPT to determine the deformation of a large area. Based on the method presented in this research, 29 Sentinel-1A images obtained from June 2015 to August 2016 are selected for processing. The subsidence result in East Beijing, Langfang, and West Tianjin is obtained. The maximum subsidence rate of the study area at Wang Qingtuo town in Tianjin is 224 mm/a, and its maximum subsidence is 265 mm. In the Hei Zhuanghu Town in Beijing, the maximum subsidence rate is 159 mm/a, and its maximum subsidence is 265 mm. In the Dong Fengwu Village in Langfang, the maximum subsidence rate is 161 mm/a, and its maximum subsidence is 191 mm. In the city district of Langfang in Yanjiao, the maximum subsidence rate is 108 mm/a, and its maximum subsidence is 120 mm. In the Yanjiao City in Hebei Province, the maximum subsidence rate is 104 mm/a, and its maximum subsidence is 121 mm. The spatiotemporal distribution and cause of subsidence are thoroughly analyzed and combined with population density, industrial distribution, and surface coverage. A significant subsidence in the study area can be found on the basis of the monitoring results, which tend to concatenate. The main factors of subsidence are population density, development of industrial distribution parks, and cultivation of thirsty crops. The growth of thirsty crops is the main subsidence factor of a city suburb. Numerous differential settlement regions are found along a high-speed railway, which is in the boundary region of the city district and suburb. Results of this research show that using the TSA-IPT is effective for Sentinel-1A images. Therefore, Sentinel-1A images can be applied to monitor land subsidence over a large area in the future.

palabra clave

Sentinel-1A;registration;time series analysis of interferometric point target;Beijing-Tianjin-Hebei area;subsidence analysis

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