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      Mining-Induced Time-Series Deformation Investigation Based on SBAS-InSAR Technique: A Case Study of Drilling Water Solution Rock Salt Mine

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          Abstract

          Compared to traditional coal mines, the mining-induced dynamic deformation of drilling solution mining activities may result in even more serious damage to surface buildings and infrastructures due to the different exploitation mode. Therefore, long-term dynamic monitoring and analysis of rock salt mines is extremely important for preventing potential geological damages. In this work, the small baseline subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique with Sentinel−1A imagery is utilized to monitor the ground surface deformation of a rock salt mining area. The time-series analysis is carried out to obtain the spatial–temporal characteristics of land subsidence caused by drilling solution mining activities. A typical rock salt mine in Changde, China is selected as the test site. Twenty-four scenes of Sentinel−1A image data acquired from June 2015 to January 2017 are used to obtain the time-series subsidence of the test mine. The temporal–spatial evolution of the derived settlement funnels is revealed. The time-series deformation on typical feature points has been analyzed. Experimental results show that the obtained drilling solution mining-induced subsidence has a spatial characteristic of multiplied peaks along the transversal direction. Temporally, the large-scale surface settlement for the rock salt mine area begins to appear in September 2016, with a time lag of 8 months, and shows an obvious seasonal fluctuation. The maximum cumulative subsidence is detected up to 199 mm. These subsiding characteristics are consistent with the connected groove mining method used in drilling water solution mines. To evaluate the reliability of the results, the SBAS-derived results are compared with the field-leveling measurements. The estimated root mean square error (RMSE) of ±11 mm indicates a high consistency.

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          Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry

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            A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms

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              A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                13 December 2019
                December 2019
                : 19
                : 24
                : 5511
                Affiliations
                [1 ]Laboratory of Radar Remote Sensing Applications, Changsha University of Science and Technology, Changsha 410014, China; liuxb0219@ 123456foxmail.com (X.L.); lifu_chen@ 123456139.com (L.C.); yuanzhihui@ 123456csust.edu.cn (Z.Y.); binliu@ 123456csust.edu.cn (B.L.); tanjianbo@ 123456imde.ac.cn (J.T.)
                [2 ]School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410014, China
                [3 ]School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China; wdbwhigg@ 123456gzhu.edu.cn
                [4 ]School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410014, China
                Author notes
                Author information
                https://orcid.org/0000-0001-7100-826X
                Article
                sensors-19-05511
                10.3390/s19245511
                6960928
                31847164
                ac6875b4-b9cf-4c7c-b3a8-202cfd64ec9a
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 09 October 2019
                : 11 December 2019
                Categories
                Article

                Biomedical engineering
                sbas-insar,deformation,rock salt mine,drilling solution mining,time series
                Biomedical engineering
                sbas-insar, deformation, rock salt mine, drilling solution mining, time series

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