江苏全省地面沉降InSAR监测
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摘要
针对江苏省是长三角地区地面沉降比较严重的地区,InSAR技术作为最有效的地表形变监测手段,曾被用来获取江苏局地的地面沉降信息,但用于全省域监测尚无先例的现状。该文介绍了利用时间序列InSAR技术开展江苏全省地面沉降监测的方法和成果,提出了适用于区域级和国家级合成孔径雷达干涉测量(InSAR)形变监测的技术方法,给出了基于ALOS PALSAR影像和RADARSAT-2影像的江苏全省2007—2011年及2012—2015年2个时段的地面沉降监测成果,利用江苏省CORS站数据,对InSAR获取的地面沉降速率进行了精度评价。结果表明,2个时段的InSAR监测结果的精度分别为3.8(mm·a~(-1))和4.0(mm·a~(-1))。最后对2个时段的全省地面沉降的时空分布、动态变化情况进行了分析,并对InSAR监测成果的应用前景进行了展望。
Aimming at the current situation that Jiangsu province has suffered severe ground subsidence in the Yangzi River delta region of China,and as the most effective space-based tool for deformation monitoring,interferometric synthetic aperture radar(InSAR)has been used to map ground subsidence over some parts of Jiangsu,but no effort has been put to monitor subsidence over the full territory of Jiangsu province.The methodology and results of monitoring ground subsidence over full Jiangsu was presented in this research.Firstly,an improved multi-temporal InSAR method entitled"multiple master-image coherent target small-baseline interferometric SAR"(MCTSB-InSAR)was described.Two sets of time-series synthetic aperture radar(SAR)images acquired by ALOS PALSAR within the period of 2007 to 2011 and by RADARSAT-2 with the period of 2012 to 2015 respectively were processed with MCTSB-InSAR method.Ground subsidence information of Jiangsu province was generated.Mean subsidence velocity(MSV)within the two time spans derived from InSAR was validated with measurements recorded by continuously operated GNSS reference stations.The MSV accuracy was 3.8(mm·a~(-1))for PALSAR dataset and 4.0(mm·a~(-1))for RADARSAT-2 dataset.Finally,the spatial and temporal characteristics of ground subsidence of Jiangsu province was analyzed.InSAR-derived subsidence information could be utilized in many social and economic aspects in the future.
Aimming at the current situation that Jiangsu province has suffered severe ground subsidence in the Yangzi River delta region of China,and as the most effective space-based tool for deformation monitoring,interferometric synthetic aperture radar(InSAR)has been used to map ground subsidence over some parts of Jiangsu,but no effort has been put to monitor subsidence over the full territory of Jiangsu province.The methodology and results of monitoring ground subsidence over full Jiangsu was presented in this research.Firstly,an improved multi-temporal InSAR method entitled"multiple master-image coherent target small-baseline interferometric SAR"(MCTSB-InSAR)was described.Two sets of time-series synthetic aperture radar(SAR)images acquired by ALOS PALSAR within the period of 2007 to 2011 and by RADARSAT-2 with the period of 2012 to 2015 respectively were processed with MCTSB-InSAR method.Ground subsidence information of Jiangsu province was generated.Mean subsidence velocity(MSV)within the two time spans derived from InSAR was validated with measurements recorded by continuously operated GNSS reference stations.The MSV accuracy was 3.8(mm·a~(-1))for PALSAR dataset and 4.0(mm·a~(-1))for RADARSAT-2 dataset.Finally,the spatial and temporal characteristics of ground subsidence of Jiangsu province was analyzed.InSAR-derived subsidence information could be utilized in many social and economic aspects in the future.
引文
[1]江苏省地质调查研究院.苏锡常地区地面沉降预警预报工程报告[R].[出版地不详]:[出版者不详],2003.(Geological Survey of Jiangsu Province.Report on early warning and forecasting project of land subsidence in the SuzhouWuxi-Changzhou area[R].[S.l.]:[s.n.],2003.)
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[4]朱叶飞,陈火根,张登明,等.基于PS-InSAR的1995-2000年苏州地面沉降监测[J].地球科学进展,2010,25(4):428-434.(ZHU Yefei,CHEN Huogen,ZHANGDengming,et al.Subsidence of Suzhou area from 1995to 2000 detected by persistent scatterers for SARinterferometry technique[J].Advances in Earth Science,2010,25(4):428-434.)
[5]ZHANG Yonghong,ZHANG Jixian,WU Hongan,et al.Monitoring of urban subsidence with SAR interferometric point target analysis:a case study in Suzhou,China[J].International Journal of Applied Earth Observation and Geoinformation,2011,13(5):812-818.
[6]赵佳曼,柯长青,陆燕燕,等.小基线集雷达干涉测量在无锡地面沉降监测中的应用[J].高技术通讯,2018,28(6):508-519.(ZHAO Jiaman,KE Changqing,LU Yanyan,et al.Application of SBAS-InSAR technology in land subsidence monitoring in Wuxi[J].Chinese High Technology Letters,2018,28(6):508-519.)
[7]林辉,柯长青.COSMO-SkyMed数据在常州市地表形变监测中的应用[J].遥感技术与应用,2016,31(3):599-606.(LIN Hui,KE Changqing.Monitoring surface deformation in Changzhou city using COSMO-SkyMed data[J].Remote Sensing Technology and Application,2016,31(3):599-606.)
[8]何秀凤,仲海蓓,何敏.基于PS-InSAR和GIS空间分析的南通市区地面沉降监测[J].同济大学学报(自然科学版),2011,39(1):129-134.(HE Xiufeng,ZHONGHaibei,HE Min.Ground subsidence detection of Nantong city based on PS-InSAR and GIS spatial analysis[J].Journal of Tongji University(Natural Science),2011,39(1):129-134.)
[9]FERRETTI A,PRATI C,ROCCA F.Non-linear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[10]FERRETTI A,PRATI C,ROCCA F.Permanent scatterers in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[11]BERARDINO P,FORNARO G,LANARI R,et al.Anew algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383.
[12]HOPPER A,ZEBKER H,SEGALL P,et al.A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J].Geophysical Research Letters,2004,31(23):L23611.
[13]HOPPER A.A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches[J].Geophysical Research Letters,2008,35(16):L16302,.
[14]FERRETTI A,FUMAGALLI A,NOVALI F,et al.Anew algorithm for processing interferometric datastacks:SqueeSAR[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3460-3470.
[15]ZHANG Yonghong,WU Hongan,KANG Yonghui,et al.Ground subsidence in the Beijing-Tianjin-Hebei region from 1992to 2014revealed by multiple SARstacks[J].Remote Sensing,2016,8(8):675.
[16]张永红,吴宏安,康永辉.京津冀地区1992-2014年三阶段地面沉降InSAR监测[J].测绘学报,2016,45(9):1050-1058.(ZHANG Yonghong,WU Hongan,KANG Yonghui.Ground subsidence over BeijingTianjin-Hebei region during three periods of 1992to2014monitored by interferometric SAR[J].Acta Geodaetica et Cartographica Sinica,2016,45(9):1050-1058.)
[17]MORA O,MALLORQUI J J,BROQUETAS A.Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images[J].IEEETransactions on Geoscience and Remote Sensing,2003,41(10):2243-2253.
[18]JIANG M,DING X,HANSSEN R F,et al.Fast statistically homogeneous pixel selection for covariance matrix estimation for multitemporal InSAR[J].IEEETransactions on Geoscience and Remote Sensing,2015,53(3):1213-1224.
[19]蒋弥,丁晓利,何秀凤,等.基于快速分布式目标探测的时序雷达干涉测量方法:以Lost Hills油藏区为例[J].地球物理学报,2016,59(10):3592-3603.(JIANGMi,DING Xiaoli,HE Xiufeng,et al.FaSHPS-InSARtechnique for distributed scatterers:a case study over the Lost Hills oil field,California[J].Chinese Journal of Geophysics,2016,59(10):3592-3603.)
[20]ZHANG Lei,DING Xiaoli,LU Zhong.Modeling PSInSARtime series without phase unwrapping[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(1):547-556.
[21]张永红,张继贤,龚文瑜,等.基于SAR干涉点目标分析技术的城市地表形变监测[J].测绘学报,2009,38(6):482-487.(ZHANG Yonghong,ZHANG Jixian,GONG Wenyu,et al.Monitoring urban subsidence based on SAR interferometric point target analysis[J].Acta Geodaetica et Cartographica Sinica,2009,38(6):482-487.)
[22]吴宏安,张永红,陈晓勇,等.基于小基线DInSAR技术监测太原市2003-2009年地表形变场[J].地球物理学报,2011,54(3):673-680.(WU Hongan,ZHANGYonghong,CHEN Xiaoyong,et al.Ground deformation monitoring using small baseline DInSAR technique:a case study in Taiyuan city from 2003to 2009[J].Chinese Journal of Geophysics,2011,54(3):673-680.)
[23]杨艳,贾三满,王海刚,等.北京规划新城地面沉降影响分析[J].城市规划,2013,37(11):67-71.(YANG Yan,JIA Sanman,WANG Haigang,et al.Analysis of impact of land subsidence on planned new cities in Beijing[J].City Planning Review,2013,37(11):67-71.)
[24]王国良.地面沉降危险性分级标准初探[J].上海地质,2006,27(4):39-43.(WANG Guoliang.Preliminary studies on dangerous grading standard of land-subsidence[J].Shanghai Geology,2006,27(4):39-43.)
[2]姜洪涛.苏锡常地面沉降及其若干问题探讨[J].第四纪研究,2005,25(1):29-33.(JIANG Hongtao.Problems and discussion in the study of land subsidence in the Suzhou-Wuxi-Changzhou area[J].Quaternary Sciences,2005,25(1):29-33.)
[3]李伟.苏锡常地区地面沉降监测方法体系建设[J].世界地质,2015,34(3):862-869.(LI Wei.Research on monitoring method system of land subsidence in Suzhou-Wuxi-Changzhou area[J].Global Geology,2015,34(3):862-869.)
[4]朱叶飞,陈火根,张登明,等.基于PS-InSAR的1995-2000年苏州地面沉降监测[J].地球科学进展,2010,25(4):428-434.(ZHU Yefei,CHEN Huogen,ZHANGDengming,et al.Subsidence of Suzhou area from 1995to 2000 detected by persistent scatterers for SARinterferometry technique[J].Advances in Earth Science,2010,25(4):428-434.)
[5]ZHANG Yonghong,ZHANG Jixian,WU Hongan,et al.Monitoring of urban subsidence with SAR interferometric point target analysis:a case study in Suzhou,China[J].International Journal of Applied Earth Observation and Geoinformation,2011,13(5):812-818.
[6]赵佳曼,柯长青,陆燕燕,等.小基线集雷达干涉测量在无锡地面沉降监测中的应用[J].高技术通讯,2018,28(6):508-519.(ZHAO Jiaman,KE Changqing,LU Yanyan,et al.Application of SBAS-InSAR technology in land subsidence monitoring in Wuxi[J].Chinese High Technology Letters,2018,28(6):508-519.)
[7]林辉,柯长青.COSMO-SkyMed数据在常州市地表形变监测中的应用[J].遥感技术与应用,2016,31(3):599-606.(LIN Hui,KE Changqing.Monitoring surface deformation in Changzhou city using COSMO-SkyMed data[J].Remote Sensing Technology and Application,2016,31(3):599-606.)
[8]何秀凤,仲海蓓,何敏.基于PS-InSAR和GIS空间分析的南通市区地面沉降监测[J].同济大学学报(自然科学版),2011,39(1):129-134.(HE Xiufeng,ZHONGHaibei,HE Min.Ground subsidence detection of Nantong city based on PS-InSAR and GIS spatial analysis[J].Journal of Tongji University(Natural Science),2011,39(1):129-134.)
[9]FERRETTI A,PRATI C,ROCCA F.Non-linear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[10]FERRETTI A,PRATI C,ROCCA F.Permanent scatterers in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[11]BERARDINO P,FORNARO G,LANARI R,et al.Anew algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].Transactions on Geoscience and Remote Sensing,2002,40(11):2375-2383.
[12]HOPPER A,ZEBKER H,SEGALL P,et al.A new method for measuring deformation on volcanoes and other natural terrains using InSAR persistent scatterers[J].Geophysical Research Letters,2004,31(23):L23611.
[13]HOPPER A.A multi-temporal InSAR method incorporating both persistent scatterer and small baseline approaches[J].Geophysical Research Letters,2008,35(16):L16302,.
[14]FERRETTI A,FUMAGALLI A,NOVALI F,et al.Anew algorithm for processing interferometric datastacks:SqueeSAR[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(9):3460-3470.
[15]ZHANG Yonghong,WU Hongan,KANG Yonghui,et al.Ground subsidence in the Beijing-Tianjin-Hebei region from 1992to 2014revealed by multiple SARstacks[J].Remote Sensing,2016,8(8):675.
[16]张永红,吴宏安,康永辉.京津冀地区1992-2014年三阶段地面沉降InSAR监测[J].测绘学报,2016,45(9):1050-1058.(ZHANG Yonghong,WU Hongan,KANG Yonghui.Ground subsidence over BeijingTianjin-Hebei region during three periods of 1992to2014monitored by interferometric SAR[J].Acta Geodaetica et Cartographica Sinica,2016,45(9):1050-1058.)
[17]MORA O,MALLORQUI J J,BROQUETAS A.Linear and nonlinear terrain deformation maps from a reduced set of interferometric SAR images[J].IEEETransactions on Geoscience and Remote Sensing,2003,41(10):2243-2253.
[18]JIANG M,DING X,HANSSEN R F,et al.Fast statistically homogeneous pixel selection for covariance matrix estimation for multitemporal InSAR[J].IEEETransactions on Geoscience and Remote Sensing,2015,53(3):1213-1224.
[19]蒋弥,丁晓利,何秀凤,等.基于快速分布式目标探测的时序雷达干涉测量方法:以Lost Hills油藏区为例[J].地球物理学报,2016,59(10):3592-3603.(JIANGMi,DING Xiaoli,HE Xiufeng,et al.FaSHPS-InSARtechnique for distributed scatterers:a case study over the Lost Hills oil field,California[J].Chinese Journal of Geophysics,2016,59(10):3592-3603.)
[20]ZHANG Lei,DING Xiaoli,LU Zhong.Modeling PSInSARtime series without phase unwrapping[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(1):547-556.
[21]张永红,张继贤,龚文瑜,等.基于SAR干涉点目标分析技术的城市地表形变监测[J].测绘学报,2009,38(6):482-487.(ZHANG Yonghong,ZHANG Jixian,GONG Wenyu,et al.Monitoring urban subsidence based on SAR interferometric point target analysis[J].Acta Geodaetica et Cartographica Sinica,2009,38(6):482-487.)
[22]吴宏安,张永红,陈晓勇,等.基于小基线DInSAR技术监测太原市2003-2009年地表形变场[J].地球物理学报,2011,54(3):673-680.(WU Hongan,ZHANGYonghong,CHEN Xiaoyong,et al.Ground deformation monitoring using small baseline DInSAR technique:a case study in Taiyuan city from 2003to 2009[J].Chinese Journal of Geophysics,2011,54(3):673-680.)
[23]杨艳,贾三满,王海刚,等.北京规划新城地面沉降影响分析[J].城市规划,2013,37(11):67-71.(YANG Yan,JIA Sanman,WANG Haigang,et al.Analysis of impact of land subsidence on planned new cities in Beijing[J].City Planning Review,2013,37(11):67-71.)
[24]王国良.地面沉降危险性分级标准初探[J].上海地质,2006,27(4):39-43.(WANG Guoliang.Preliminary studies on dangerous grading standard of land-subsidence[J].Shanghai Geology,2006,27(4):39-43.)