基于SBAS-InSAR的矿区村庄地面沉降监测与分析
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摘要
矿区地下开采会造成周边地区不同程度的地面沉降,引发安全隐患,InSAR技术是地面沉降监测的重要手段之一。基于31景Sentinel-1A影像,利用SBAS-In SAR技术,去除了地形误差、轨道误差及大气延迟误差,获取了研究区2016—2017年的地面沉降变形场。研究表明:研究区整体沉降速率在20 mm/a以上,最大沉降速率达到50 mm/a;区域整体沉降量在30 mm以上,最大沉降量达到60 mm。在研究区内沉降量依次从小到大分布的一条观测线上选取了6个观测点进行时序分析,发现沉降值和时间(观测间隔)呈线性变化关系,且随着沉降值逐渐增大,对应的沉降值与时间越符合线性关系.将SBAS监测值与实测数据进行对比分析,发现SBAS监测值与实测数据之间的误差均在20 mm以下,大部分监测点之间的误差均小于10 mm。上述研究进一步表明:采用SBAS-InSAR技术进行由矿区地下开采活动造成的地表沉降监测是可靠的,具有较好的应用前景。
Underground mining activities will cause different degrees of subsidence in the surrounding area and trigger potential safety hazards.InSAR technology is one of the important means of surface subsidence monitoring. SBAS-InSAR technique was applied to process 31 scene of Sentine-1 A data,the terrain error,orbit error and atmospheric delay error are removed.The surface subsidence field of the study area from 2016 to 2017 is obtained.The study results show that the overall subsidence rate of the study area is above 20 mm/a,and the maximum subsidence rate reached 50 mm/a;the overall subsidence value of the study area was above 30 mm,and the maximum subsidence value reached 60 mm.According to the subsidence value from small to large in the observation lines of the study area,six observation points are selected for time series analysis.It is found that there is a linear relationship between subsidence value and time,moreover,with the increase of the subsidence value,the more linear variation of the subsidence and time was.Compared the SBAS monitoring value with the leveling data,it is found that the error between SBAS monitoring value and leveling data is below 20 mm,and the error between most monitoring points is less than 10 mm.The above results further show that SBAS-InSAR technique is reliable in monitoring surface subsidence caused by underground mining activities and has a good application prospect in the surface subsidence monitoring.
Underground mining activities will cause different degrees of subsidence in the surrounding area and trigger potential safety hazards.InSAR technology is one of the important means of surface subsidence monitoring. SBAS-InSAR technique was applied to process 31 scene of Sentine-1 A data,the terrain error,orbit error and atmospheric delay error are removed.The surface subsidence field of the study area from 2016 to 2017 is obtained.The study results show that the overall subsidence rate of the study area is above 20 mm/a,and the maximum subsidence rate reached 50 mm/a;the overall subsidence value of the study area was above 30 mm,and the maximum subsidence value reached 60 mm.According to the subsidence value from small to large in the observation lines of the study area,six observation points are selected for time series analysis.It is found that there is a linear relationship between subsidence value and time,moreover,with the increase of the subsidence value,the more linear variation of the subsidence and time was.Compared the SBAS monitoring value with the leveling data,it is found that the error between SBAS monitoring value and leveling data is below 20 mm,and the error between most monitoring points is less than 10 mm.The above results further show that SBAS-InSAR technique is reliable in monitoring surface subsidence caused by underground mining activities and has a good application prospect in the surface subsidence monitoring.
引文
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[11]张艳梅，王萍，罗想，等.利用Sentinel-1数据和SBAS-InSAR技术监测西安地表沉降[J].测绘通报，2017(4):93-97.Zhang Yanmei,Wang Ping,Luo Xiang,et al.Monitoring Xi’an land subsidence using sentinel-1 images and SBAS-InSAR technology[J].Bulletin of Surveying and Mapping,2017(4):93-97.
[12]姜德才，张继贤，张永红，等.百年煤城地表沉降融合PS/SBASInSAR监测--以徐州市为例[J].测绘通报，2017(1):58-64.Jiang Decai,Zhang Jixian,Zhang Yonghong,et al.Ground deformation over century-long coal mining city monitored through incorporating both PS and SBAS InSAR:a case study of Xuzhou[J].Bulletin of Surveying and Mapping,2017(1):58-64.
[13]孙张涛，范景辉，王如意，等.基于高分辨率SAR数据的地面沉降监测--以印度尼西亚雅加达为例[J].地质通报，2015,34(10):1910-1917.Sun Zhangtao,Fan Jinghui,Wang Ruyi,et al.Research on subsidence monitoring based on high resolution SAR data:a case study of Jakarta[J].Geological Bulletin of China,2015,34(10):1910-1917.
[14]朱建军，李志伟，胡俊.InSAR变形监测方法与研究进展[J].测绘学报，2017,46(10):1717-1733.Zhu Jianjun,Li Zhiwei,Hu Jun.Research progress and methods of InSAR for deformation monitoring[J].Acta Geodaetica et Cartographica Sinica,2017,46(10):1717-1733.
[15]葛大庆，王艳，范景辉，等.地表形变D-InSAR监测方法及关键问题分析[J].国土资源遥感，2007,19(4):14-22.Ge Daqing,Wang Yan,Fan Jinghui,et al.A study of surface deformation monitoring using differential SAR interferometry technology and analysis of its key problem[J].Remote Sensing for Land&Resources,2007,19(4):14-22.
[16]Berardino P,Fornaro G,Lanari R,et al.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383.
[17]Zhou L,Guo J,Hu J,et al.Wuhan surface subsidence analysis in2015-2016 based on Sentinel-1A data by SBAS-InSAR[J].Remote Sensing,2017,9(10):982-1003.
[18]尹宏杰，朱建军，李志伟，等.基于SBAS的矿区形变监测研究[J].测绘学报，2011,40(1):52-58.Yin Hongjie,Zhu Jianjun,Li Zhiwei,et al.Ground subsidence monitoring in mining area using DInSAR SBAS algorithm[J].Acta Geodaetica et Cartographica Sinica,2011,40(1):52-58.
[19]刘志敏，李永生，张景发，等.基于SBAS-InSAR的长治矿区地表形变监测[J].国土资源遥感，2014,26(3):37-42.Liu Zhimin,Li Yongsheng,Zhan Jingfa,et al.Analysis of surface deformation in the Changzhi mining area using small baseline InSAR[J].Remote Sensing for Land&Resources,2014,26(3):37-42.
[20]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.
[21]Ma C,Cheng X,Yang Y,et al.Investigation on mining subsidence based on multi-temporal InSAR and time-series analysis of the small baseline subset:case study of working faces 22201-1/2 in Bu'ertai Mine,Shendong Coalfield,China[J].Remote Sensing,2016,8(11):951-976.
[2]李春意，崔希民，郭增长，等.矿山开采沉陷对土地的影响[J].矿业安全与环保，2009,36(4):65-68.Li Chunyi,Cui Ximin,Guo Zengchang,et al.Influence mining subsidence on land[J].Mining Safety&Environmental Protection,2009,36(4):65-68.
[3]王海庆，聂洪峰，陈玲，等.采矿沉陷遥感调查与危害性研究[J].国土资源遥感，2016,28(1):114-121.Wang Haiqing,Nie Hongfeng,Chen Lin,et al.Remote sensing investigation of mining subsidence and harmfulness research[J].Remote Sensing for Land&Resources,2016,28(1):114-121.
[4]侯湖平，张绍良，闫艳，等.基于RS、GIS的矿区生态景观修复研究——以徐州市城北煤矿区为例[J].中国土地科学，2009,23(8):62-67.Hou Huping,Zhang Shaoliang,Yan Yan,et al.Study on ecological landscape restoration in mining areas based on RS and GIS:a case of Xuzhou northern coal mining area[J].China Land Science,2009,23(8):62-67.
[5]周复旦，赵长胜，丁佩，等.开采沉陷预计在矿区土地复垦中的应用[J].金属矿山，2010(10):146-150.Zhou Fudan,Zhao Changsheng,Ding Pei,et al.Application of the prediction for mining subsidence in soil reclamation in mining area[J].Metal Mine,2010(10):146-150.
[6]马海涛，李辉，刘勇峰，等. D-InSAR技术在矿区地表沉降监测中的应用[J].金属矿山，2011(2):95-98.Ma Haitao,Li Hui,Liu Yongfeng,et al.Application of D-InSAR technique to the land subsidence monitoring in mining area[J].Metal Mine,2011(2):95-98.
[7]李楠，王磊，池深深，等.矿区地表沉陷的D-InSAR监测方法[J].金属矿山，2017(10):23-27.Li Nan,Wang Lei,Chi Shenshen,et al.Monitoring method of surface subsidence in mining area based on D-InSAR[J].Metal Mine,2017(10):23-27.
[8]王小兵.基于DInSAR技术的矿山开采沉陷监测研究现状[J].金属矿山，2015(S1):65-71.Wang Xiaobing.Research states of mining subsidence monitoring nased on DInSAR technology[J].Metal Mine,2015(S1):65-71.
[9]赵强，杨国东，张旭晴，等.基于D-InSAR的九寨沟地震同震形变场反演分析[J].世界地质，2018,37(3):938-944.Zhao Qiang,Yang Guodong,Zhang Xuqing,et al.Inversion analysis of co-seismic deformation field of Jiuzhaigou earthquake based on D-InSAR[J].Global Geology,2018,37(3):938-944.
[10]张路，廖明生，董杰，等.基于时间序列InSAR分析的西部山区滑坡灾害隐患早期识别--以四川丹巴为例[J].武汉大学学报：信息科学版，2018,43(12):2039-2049.Zhang Lu,Liao Mingsheng,Dong Jie,et al.Early detection of landslide hazards in mountainous areas of West China using time series SAR interferometry:a case study of Danba,Sichuan[J].Geomatics and Information Science of Wuhan University,2018,43(12):2039-2049.
[11]张艳梅，王萍，罗想，等.利用Sentinel-1数据和SBAS-InSAR技术监测西安地表沉降[J].测绘通报，2017(4):93-97.Zhang Yanmei,Wang Ping,Luo Xiang,et al.Monitoring Xi’an land subsidence using sentinel-1 images and SBAS-InSAR technology[J].Bulletin of Surveying and Mapping,2017(4):93-97.
[12]姜德才，张继贤，张永红，等.百年煤城地表沉降融合PS/SBASInSAR监测--以徐州市为例[J].测绘通报，2017(1):58-64.Jiang Decai,Zhang Jixian,Zhang Yonghong,et al.Ground deformation over century-long coal mining city monitored through incorporating both PS and SBAS InSAR:a case study of Xuzhou[J].Bulletin of Surveying and Mapping,2017(1):58-64.
[13]孙张涛，范景辉，王如意，等.基于高分辨率SAR数据的地面沉降监测--以印度尼西亚雅加达为例[J].地质通报，2015,34(10):1910-1917.Sun Zhangtao,Fan Jinghui,Wang Ruyi,et al.Research on subsidence monitoring based on high resolution SAR data:a case study of Jakarta[J].Geological Bulletin of China,2015,34(10):1910-1917.
[14]朱建军，李志伟，胡俊.InSAR变形监测方法与研究进展[J].测绘学报，2017,46(10):1717-1733.Zhu Jianjun,Li Zhiwei,Hu Jun.Research progress and methods of InSAR for deformation monitoring[J].Acta Geodaetica et Cartographica Sinica,2017,46(10):1717-1733.
[15]葛大庆，王艳，范景辉，等.地表形变D-InSAR监测方法及关键问题分析[J].国土资源遥感，2007,19(4):14-22.Ge Daqing,Wang Yan,Fan Jinghui,et al.A study of surface deformation monitoring using differential SAR interferometry technology and analysis of its key problem[J].Remote Sensing for Land&Resources,2007,19(4):14-22.
[16]Berardino P,Fornaro G,Lanari R,et al.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].IEEE Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383.
[17]Zhou L,Guo J,Hu J,et al.Wuhan surface subsidence analysis in2015-2016 based on Sentinel-1A data by SBAS-InSAR[J].Remote Sensing,2017,9(10):982-1003.
[18]尹宏杰，朱建军，李志伟，等.基于SBAS的矿区形变监测研究[J].测绘学报，2011,40(1):52-58.Yin Hongjie,Zhu Jianjun,Li Zhiwei,et al.Ground subsidence monitoring in mining area using DInSAR SBAS algorithm[J].Acta Geodaetica et Cartographica Sinica,2011,40(1):52-58.
[19]刘志敏，李永生，张景发，等.基于SBAS-InSAR的长治矿区地表形变监测[J].国土资源遥感，2014,26(3):37-42.Liu Zhimin,Li Yongsheng,Zhan Jingfa,et al.Analysis of surface deformation in the Changzhi mining area using small baseline InSAR[J].Remote Sensing for Land&Resources,2014,26(3):37-42.
[20]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.
[21]Ma C,Cheng X,Yang Y,et al.Investigation on mining subsidence based on multi-temporal InSAR and time-series analysis of the small baseline subset:case study of working faces 22201-1/2 in Bu'ertai Mine,Shendong Coalfield,China[J].Remote Sensing,2016,8(11):951-976.
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