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Monitoring Land Subsidence in North-central Henan Plain using the SBAS-InSAR Method with Sentinel-1 Imagery Data

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Abstract

As impacted by long-term underground resource exploitation and urban shallow space construction and expansion, land subsidence has turned out to be a major ground geological disaster in the central-northern Henan Plain. For the construction of the Central Plains urban agglomeration, it is required to efficiently and comprehensively grasp the information of land subsidence in the North-central Henan Plain, as well as effectively prevent and control the rapid development of subsidence. In the present study, the Land subsidence in North-central Henan Plain was initially monitored and analyzed by employing the SBAS-InSAR technology with 40 scenes of C-band Sentinel-1 data (March 2017-August 2018). As revealed from the results, the central-northern North Henan Plain consists of 6 main subsidence areas, exhibiting a maximum subsidence rate of -116 mm/a, as primarily located in the southwestern region of Baiquan Town, Hui County, Xinxiang City. To verify the results achieved by the InSAR monitoring, a GPS monitoring network and a leveling route were deployed in the study area to acquire the data of the InSAR monitoring time period. The InSAR monitoring data and GPS monitoring data were used to analyze the Beijing–Guangzhou high-speed railway, the Anyang–Xinxiang line and the South-to-North Water Transfer Project. The project and the ground subsidence along the Wari Railway are analyzed through the single-point comparison with GPS and leveling data. As indicated by the results, the InSAR monitoring results are highly consistent with the GPS and leveling data in the subsidence trend, whereas some differences exist in the values. As revealed from the calculated results, the root mean square error (RMSE) between the InSAR monitoring results and the GPS monitoring results was ± 10.96 mm/a, and the RMSE between the InSAR measurement result and the level measurement was ± 11.23 mm/a. The research results can scientifically underpin interprovincial joint prevention and control of land subsidence in the northern Henan Plain, as well as basically support sustainable economic and social development.

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Acknowledgements

This work was supported by the Investigation and Monitoring of Land Subsidence in North China Plain (Henan Part); the authors wish to thank the ESA for arranging the Sentinel-1A data, NASA, for providing the SRTM-1 DEM data, the ESA for releasing the POD data and the geological environment monitoring institute of Henan province for provide GPS and leveling data.

Funding

This research was funded by the National Natural Science Foundation (42161067) and Science Research Fund Project of Yunnan Education Department (Grant No. 2019J0562).

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Authors and Affiliations

  1. School of Land Resources Engineering, Kunming University of Science and Technology, Chenggong District, No.727 Jingming South Road, Kunming, 650093, China

    Yongfa Li, Xiaoqing Zuo, Peng Xiong & Xiangxin Li

  2. Faculty of Information Engineering, Economic and Technological Development Zone, Kunming University, No.2 Puxin Road, Kunming, 650214, China

    Zhenting Chen

  3. Kunming Surveying and Mapping Institute, No.16 Renmin Lane, Renmin East Road, Panlong District, Kunming, 650051, China

    Fang Yang

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  1. Yongfa Li
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Correspondence to Xiaoqing Zuo.

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Li, Y., Zuo, X., Xiong, P. et al. Monitoring Land Subsidence in North-central Henan Plain using the SBAS-InSAR Method with Sentinel-1 Imagery Data. J Indian Soc Remote Sens 50, 635–655 (2022). https://doi.org/10.1007/s12524-021-01484-6

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