WU Hong’an, ZHANG Yonghong, KANG Yonghui, WEI Jujie, LIU Ying, LI Baipeng. Fine Mapping of Surface Deformation in Xinjing Open-Pit Mine,Inner Mongolia Using FS-InSAR Technique[J]. Geomatics and Information Science of Wuhan University, 2024, 49(3): 389-399. DOI: 10.13203/j.whugis20230080
Citation: WU Hong’an, ZHANG Yonghong, KANG Yonghui, WEI Jujie, LIU Ying, LI Baipeng. Fine Mapping of Surface Deformation in Xinjing Open-Pit Mine,Inner Mongolia Using FS-InSAR Technique[J]. Geomatics and Information Science of Wuhan University, 2024, 49(3): 389-399. DOI: 10.13203/j.whugis20230080

Fine Mapping of Surface Deformation in Xinjing Open-Pit Mine,Inner Mongolia Using FS-InSAR Technique

More Information
  • Received Date: March 02, 2023
  • Available Online: March 22, 2023
  • Objectives 

    On February 22, 2023, a large area of slope collapsed in Xinjing Open-Pit Mine, Inner Mongolia Autonomous Region, China. In order to prevent this kind of disaster scientifically, it is necessary to carry out fine monitoring of slope stability in large open-pit mine, so as to obtain the temporal and spatial characteristics of slope deformation comprehensively, and take corresponding prevention measures.

    Methods 

    The full scatterer interferometric synthetic aperture radar (FS-InSAR) technique was applied for detailed monitoring of Xinjing Open-Pit Mine, with 24 Sentinel-1 synthetic aperture radar images acquired from September 9, 2021 to August 11, 2022. Fine ground deformation of Xinjing Open-Pit Mine was obtained, and the temporal and spatial distribution characteristics of the deformation were analyzed.

    Results 

    For the low-coherence open-pit area, the FS-InSAR technique can obtain fine surface deformation with a density of 4 758 points per km2. The deformation anomaly signal of bottom acceleration had appeared since February 2022, before the collapse occurred. The deformation at the bottom of the west side of the south slope is the most serious, with deformation rate more than 200 mm/a, and there is a collapse risk.

    Conclusions 

    The FS-InSAR technique can fully retrieve the spatial-temporal distribution of slope deformation before collapse disaster in open-pit mines, which is of great significance for mine safety production in the future.

  • [1]
    Wang Jing,Zhang Sheng. An Open-Pit Coal Mine Collapsed in Alashan,Inner Mongolia,and It Was Initially Verified that More than 50 People Were Trapped[N]. XinhuaNet,2023-02-22. http://www.news.cn/2023-02/22/c_1129387821.htm.
    [2]
    杨红磊,彭军还,崔洪曜. GB-InSAR监测大型露天矿边坡形变[J]. 地球物理学进展,2012,27(4): 1804-1811.

    Yang Honglei,Peng Junhuan,Cui Hongyao. Slope of Large-Scale Open-Pit Mine Monitoring Deformations by Using Ground-Based Interferometry[J]. Progress in Geophysics,2012,27(4): 1804-1811.
    [3]
    张劲松,吴军,王星杰. 地基合成孔径雷达在矿区边坡监测预警应用研究[J]. 工程勘察,2021,49(12): 59-62.

    Zhang Jinsong,Wu Jun,Wang Xingjie. Application of Ground Based Synthetic Aperture Radar in Monitoring and Early Warning of Mining Area Slope[J]. Geotechnical Investigation & Surveying,2021,49(12): 59-62.
    [4]
    Zhang Y H,Wu H A,Kang Y H,et al. Ground Subsidence in the Beijing-Tianjin-Hebei Region from 1992 to 2014 Revealed by Multiple SAR Stacks[J]. Remote Sensing,2016,8(8): 675.
    [5]
    Zhang Y H,Wu H A,Li M J,et al. Investigating Ground Subsidence and the Causes over the Whole Jiangsu Province,China Using Sentinel-1 SAR Data[J]. Remote Sensing,2021,13(2): 179.
    [6]
    李达,邓喀中,高晓雄,等. 基于SBAS-InSAR的矿区地表沉降监测与分析[J]. 武汉大学学报(信息科学版),2018,43(10): 1531-1537.

    Li Da,Deng Kazhong,Gao Xiaoxiong,et al. Monitoring and Analysis of Surface Subsidence in Mining Area Based on SBAS-InSAR[J]. Geomatics and Information Science of Wuhan University,2018,43(10): 1531-1537.
    [7]
    Chen Baolin,Li Weile,Lu Huiyan,et al. Deformation Analysis of Jungong Ancient Landslide Based on SBAS InSAR Technology in the Yellow River Mainstream[J]. Geomatics and Information Science of Wuhan University,2023,DOI:10.13203/j.whugis20220196. (陈宝林,李为乐,陆会燕,等. 基于SBAS-InSAR的黄河干流军功古滑坡形变分析[J]. 武汉大学学报(信息科学版),2023,DOI:10.13203/j.whugis20220196.) doi: 10.13203/j.whugis20220196
    [8]
    Lu Z,Dzurisin D. InSAR Imaging of Aleutian Volcanoes[M].Berlin: Springer ,2014.
    [9]
    韩炳权,刘振江,陈博,等. 2022年泸定Mw 6.6地震InSAR同震形变与滑动分布[J]. 武汉大学学报(信息科学版),2023,48(1): 36-46.

    Han Bingquan,Liu Zhenjiang,Chen Bo,et al. Coseismic Deformation and Slip Distribution of the 2022 Luding Mw 6.6 Earthquake Revealed by InSAR Observations[J]. Geomatics and Information Science of Wuhan University,2023,48(1): 36-46.
    [10]
    Wang T,Shi Q B,Nikkhoo M,et al. The Rise,Collapse,and Compaction of Mt. Mantap from the 3 September 2017 North Korean Nuclear Test[J]. Science,2018,361(6398): 166-170.
    [11]
    Bell R E,Studinger M,Shuman C A,et al. Large Subglacial Lakes in East Antarctica at the Onset of Fast-flowing Ice Streams[J]. Nature,2007,445(7130): 904-907.
    [12]
    段光耀,刘欢欢,宫辉力,等. 京津城际铁路沿线不均匀地面沉降演化特征[J]. 武汉大学学报(信息科学版),2017,42(12): 1847-1853.

    Duan Guangyao,Liu Huanhuan,Gong Huili,et al. Evolution Characteristics of Uneven Land Subsidence Along Beijing-Tianjin Inter-City Railway[J]. Geomatics and Information Science of Wuhan University,2017,42(12): 1847-1853.
    [13]
    Bekaert D P S,Walters R J,Wright T J,et al. Statistical Comparison of InSAR Tropospheric Correction Techniques[J]. Remote Sensing of Environment,2015,170: 40-47.
    [14]
    Li Z,Cao Y,Wei J,et al. Time-Series InSAR Ground Deformation Monitoring: Atmospheric Delay Modeling and Estimating[J]. Earth-Science Reviews,2019,192: 258-284.
    [15]
    Jolivet R,Agram P S,Lin N Y,et al. Improving InSAR Geodesy Using Global Atmospheric Models[J]. Journal of Geophysical Research: Solid Earth,2014,119(3): 2324-2341.
    [16]
    Li Z H,Fielding E J,Cross P,et al. Interferometric Synthetic Aperture Radar Atmospheric Correction: GPS Topography-Dependent Turbulence Model[J]. Journal of Geophysical Research: Solid Earth,2006,111(B2): B02404.
    [17]
    Li Z H,Fielding E J,Cross P,et al. Advanced InSAR Atmospheric Correction: MERIS/MODIS Combination and Stacked Water Vapour Models[J]. International Journal of Remote Sensing,2009,30(13): 3343-3363.
    [18]
    Sandwell D T,Price E J. Phase Gradient Approach to Stacking Interferograms[J]. Journal of Geophysical Research: Solid Earth,1998,103(B12): 30183-30204.
    [19]
    Tymofyeyeva E,Fialko Y. Mitigation of Atmospheric Phase Delays in InSAR Data,with Application to the Eastern California Shear Zone[J]. Journal of Geophysical Research: Solid Earth,2015,120(8): 5952-5963.
    [20]
    Ferretti A,Prati C,Rocca F. Permanent Scatterers in SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing,2001,39(1): 8-20.
    [21]
    Ferretti A,Fumagalli A,Novali F,et al. A New Algorithm for Processing Interferometric Data-Stacks: SqueeSAR[J]. IEEE Transactions on Geoscience and Remote Sensing,2011,49(9): 3460-3470.
    [22]
    Goel K,Adam N. A Distributed Scatterer Interferometry Approach for Precision Monitoring of Known Surface Deformation Phenomena[J]. IEEE Transactions on Geoscience and Remote Sensing,2014,52(9): 5454-5468.
    [23]
    蒋弥,丁晓利,李志伟,等. 基于时间序列的InSAR相干性量级估计[J]. 地球物理学报,2013,56(3): 799-811.

    Jiang Mi,Ding Xiaoli,Li Zhiwei,et al. InSAR Coherence Magnitude Estimation Based on Data Stack[J]. Chinese Journal of Geophysics,2013,56(3): 799-811.
    [24]
    Jiang M,Ding X L,Hanssen R F,et al. Fast Statistically Homogeneous Pixel Selection for Covariance Matrix Estimation for Multitemporal InSAR[J]. IEEE Transactions on Geoscience and Remote Sensing,2015,53(3): 1213-1224.
    [25]
    Jiang M,Yong B,Tian X,et al. The Potential of More Accurate InSAR Covariance Matrix Estimation for Land Cover Mapping[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2017,126: 120-128.
    [26]
    Wu H,Zhang Y,Kang Y,et al. SAR Interferometry on Full Scatterers: Mapping Ground Deformation with Ultra-high Density from Space[J]. Remote Sensing of Environment,2024,https://doi.org/10.1016/j.rse.2023.113965. doi: 10.1016/j.rse.2023.113965
    [27]
    Wu Hong’an,Zhang Yonghong,Kang Yonghui,et al. A Methodology and System of Full Scatterer (FS) InSAR. Patent:ZL202210489978.3[P]. 2022-07-26.
    [28]
    Goldstein R M,Werner C L. Radar Interferogram Filtering for Geophysical Applications[J]. Geophysical Research Letters,1998,25(21): 4035-4038.
    [29]
    Eineder M,Hubig M,Milcke B. Unwrapping Large Interferograms Using the Minimum Cost Flow Algorithm[C]// IEEE International Geoscience and Remote Sensing,Seattle,USA,1998.
    [30]
    Benoit A,Pinel-Puysségur B,Jolivet R,et al. CorPhU: An Algorithm Based on Phase Closure for the Correction of Unwrapping Errors in SAR Interferometry[J]. Geophysical Journal International,2020,221(3): 1959-1970.
    [31]
    Zhang Y J,Heresh F,Falk A. Small Baseline InSAR Time Series Analysis: Unwrapping Error Correction and Noise Reduction[J]. Computers & Geosciences,2019,133: 104331.
    [32]
    He Q,Zhang Y H,Wu H A,et al. Mining Subsidence Monitoring with Modified Time-Series SAR Interferometry Method Based on the Multi-Level Processing Strategy[J]. IEEE Access,2021,9: 106039-106048.
    [33]
    李鸣庚,张书毕,高延东,等. 适用于露天矿时序形变监测的优化DS-InSAR技术[J]. 金属矿山,2023,559(1): 110-118.

    Li Minggeng,Zhang Shubi,Gao Yandong,et al. Optimized DS-InSAR Technology for Time Series Deformation Monitoring in Open-Pit Mines[J]. Metal Mine,2023,559(1): 110-118.
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