基于时序合并的PS-InSAR方法在雄县及周边区域地表形变监测中的应用

doi:10.13474/j.cnki.11-2246.2023.0017

测绘通报 ›› 2023, Vol. 0 ›› Issue (1): 101-106.doi: 10.13474/j.cnki.11-2246.2023.0017

基于时序合并的PS-InSAR方法在雄县及周边区域地表形变监测中的应用

陶威¹, 贾洪果^1,2, 亢邈迒³, 刘雨鑫³

1. 西南交通大学地球科学与环境工程学院, 四川成都 611756;
2. 高速铁路运营安全空间信息技术国家地方联合工程实验室, 四川成都 611756;
3. 中铁第一勘察设计院集团有限公司, 陕西西安 710043

收稿日期:2021-12-14 修回日期:2022-08-27 发布日期:2023-02-08
通讯作者: 贾洪果。E-mail:RSjia@swjtu.edu.cn
作者简介:陶威(1997-),男,硕士,研究方向为合成孔径雷达干涉测量。E-mail:TaoW@my.swjtu.edu.cn
基金资助:
国家自然科学基金(42071410);国家重点研发计划(2021YFB2300501);四川省科技计划(2018JY0564;2019ZDZX0042;2020JDTD0003);铁一院科研(川藏)20-32

Application of PS-InSAR method based on time series combination in surface deformation monitoring of Xiongxian county and its surrounding areas

TAO Wei¹, JIA Hongguo^1,2, KANG Miaohang³, LIU Yuxin³

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
2. State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Chengdu 611756, China;
3. China Railway First Survey and Design Institute Group Co., Ltd., Xi'an 710043, China

Received:2021-12-14 Revised:2022-08-27 Published:2023-02-08

摘要/Abstract

摘要： 本文提出了一种基于时序合并的PS-InSAR(TSC-PS-InSAR)监测方法,提取雄县及周边区域地表形变信息。形变区域最大沉降速率为-79mm/a,沉降原因为地下水超采。结果表明,TSC-PS-InSAR方法在无需先验模型的条件下,能显著提高PS目标数量,且监测结果与StaMPS方法提取的形变信息在沉降趋势及沉降量级上保持了良好的一致性,验证了本文方法在实际应用中的可靠性和可行性。

关键词: 时序合并, PS-InSAR, 地面沉降, StaMPS

Abstract: This study proposes a PS-InSAR (TSC-PS-InSAR) monitoring method based on time series combination to extract the surface deformation information of Xiongxian county and suburb areas. Evaluation experiment results indicate that the proposed method can significantly increase the number of PS targets without prior model and the monitoring results are consistent to the deformation information extracted by StaMPS method in the settlement trend and settlement magnitud, which verify the reliability and feasibility of the proposed method. In addtion, according to monitoring results, the maximum annual subsidence rate of deformation area is -79 mm/a, which may be caused by groundwater overexploitation.

Key words: time series combination, PS-InSAR, land subsidence, StaMPS

中图分类号:

P228

陶威, 贾洪果, 亢邈迒, 刘雨鑫. 基于时序合并的PS-InSAR方法在雄县及周边区域地表形变监测中的应用[J]. 测绘通报, 2023, 0(1): 101-106.

TAO Wei, JIA Hongguo, KANG Miaohang, LIU Yuxin. Application of PS-InSAR method based on time series combination in surface deformation monitoring of Xiongxian county and its surrounding areas[J]. Bulletin of Surveying and Mapping, 2023, 0(1): 101-106.

参考文献

[1] 薛禹群,张云,叶淑君,等.中国地面沉降及其需要解决的几个问题[J].第四纪研究,2003,23(6):585-593.
[2] 殷跃平,张作辰,张开军.我国地面沉降现状及防治对策研究[J].中国地质灾害与防治学报,2005,16(2):1-8.
[3] BAMLER R,HARTL P.Synthetic aperture radar interferometry[J].Inverse Problems,1998,14(4):R1-R54.
[4] FERRETTI A,CLAUDIO P,FABIO R.Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2000,38(5):2202-2212.
[5] FERRETTI A,SAVIO G,BARZAGHI R,et al.Submillimeter aecuracy of insar time series:experimental validation[J].IEEE Transaction on Geoscience and Remote Sensing,2007,45(5):1142-1153.
[6] SOUSA J J,HOOPER A J,HANSSEN R F,et al.Persistent scatterer InSAR:a comparison of methodologies based on a model of temporal deformation vs.spatial correlation selection criteria[J].Remote Sensing of Environment,2011,115(10):2652-2663.
[7] 陈强,刘国祥,李永树,等.干涉雷达永久散射体自动探测-算法与实验结果[J].测绘学报,2006,35(2):112-117.
[8] 罗小军,黄丁发,刘国祥.时序差分雷达干涉中永久散射体的自动探测[J].西南交通大学学报,2007,42(4):414-418.
[9] SHANKER P,ZEBKER H.Persistent scatterer selection using maximum likelihood estimation[J].Geophysical Research Letters,2007,34(22):L22301.
[10] ZHANG L,DING X L,LU Z.Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions.ISPRS Journal of Photogrammetry and Remote Sensing,2011,66(1):146-152.
[11] ZHANG L,DING X,LU Z.Modeling PS-InSAR time series without phase unwrapping[J].IEEE Transactions on Geoscience and Remote Sensing,2011,49(1):547-556.
[12] ZHANG R,LIU G,LI T,et al.An integrated model for extracting surface deformation components by PSI time series[J].IEEE Geoscience and Remote Sensing Letters,2014,11(2):544-548.
[13] 张永红,吴宏安,孙广通.时间序列InSAR技术中的形变模型研究[J].测绘学报,2012,41(6):864-869.
[14] HOOPER 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):1-5.
[15] HOOPER A J.Persistent scatter radar interferometry for crustal deformation studies and modeling of volcanic deformation[D].Stanford:Stanford University,2006.
[16] HOOPER A,SEGALL P,ZEBKER H.Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis,with application to Volcan Alcedo,Galapagos[J].Journal of Geophysical Research.2007,112(b7):B07407.
[17] 马峰,王贵玲,张薇,等.古潜山热储开发对地面沉降的影响机制研究[J].中国地质,2021,48(1):40-51.
[18] 张兆吉,费宇红,陈宗宇,等.华北平原地下水可持续利用调查评价[M].北京:地质出版社,2009:1-471.
[19] 李海涛,凤蔚,王凯霖,等.雄安新区地下水资源概况、特征及可开采潜力[J].中国地质,2021,48(4):1112-1126.
[20] 马震,夏雨波,李海涛,等.雄安新区自然资源与环境-生态地质条件分析[J].中国地质,2021,48(3):677-696.

基于时序合并的PS-InSAR方法在雄县及周边区域地表形变监测中的应用

Application of PS-InSAR method based on time series combination in surface deformation monitoring of Xiongxian county and its surrounding areas

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	王润泽, 费敏, 梁世川, 薛豪威, 楼晓. 基于SBAS-InSAR技术监测西安市地表形变特征[J]. 测绘通报, 2023, 0(1): 173-178.
[2]	葛鹏飞, 刘辉, 陈蜜, 李昱, 丁瑞力, 刘菲. 时序InSAR监测京雄城际铁路河北段地面沉降[J]. 测绘通报, 2022, 0(7): 64-70.
[3]	兰进京, 曲逸穹, 都伟冰, 高鑫, 马丹丹, 郑岩超. 典型矿业城市地表形变遥感监测及沉降特征分析[J]. 测绘通报, 2022, 0(6): 98-103.
[4]	朱邦彦, 唐超, 任志忠, 马状, 张琪, 李云. 基于PS-InSAR技术的珠海市地表形变监测与驱动力分析[J]. 测绘通报, 2022, 0(6): 108-113.
[5]	张玉鹏, 张永红, 刘青豪. 利用GRACE数据进行京津冀地区地面沉降与地下水耦合分析[J]. 测绘通报, 2022, 0(5): 89-94,125.
[6]	李佳豪, 周吕, 马俊, 杨飞, 咸凌霄. 利用PS-InSAR技术进行城市地铁沿线形变监测与机理分析[J]. 测绘通报, 2022, 0(4): 20-25.
[7]	李冰峰, 李更尔, 那静, 涂梨平, 范军林, 吴洋. 利用SBAS时序技术识别地热资源开采引起的地表形变[J]. 测绘通报, 2022, 0(2): 43-49.
[8]	田秀秀, 王彦兵, 李晨霞, 李小娟, 朱琳. 基于熵和转移矩阵分析北京地铁15号线地面沉降时空特征[J]. 测绘通报, 2022, 0(11): 67-73.
[9]	谢文军. 不同手段和尺度下地面沉降时空变化特征分析——以深圳大空港区为例[J]. 测绘通报, 2022, 0(11): 138-143.
[10]	何希山, 周平, 陈刚. 一种联合GACOS与线性大气校正的StaMPS PSI时序分析方法[J]. 测绘通报, 2022, 0(10): 105-109,128.
[11]	黄佳宾, 郭云开, 罗伟茂. 利用Sentinel-1监测武汉市地面沉降[J]. 测绘通报, 2021, 0(9): 53-58.
[12]	章诗芳, 张锦. 卡尔曼滤波在山西省西山煤田地面沉降GNSS监测中的应用[J]. 测绘通报, 2021, 0(9): 103-107.
[13]	王建业, 梁小龙, 金喜, 白泽朝, 齐二恒. 黄土填方区地表沉降时序InSAR监测分析[J]. 测绘通报, 2021, 0(8): 158-161.
[14]	祝昕刚, 李更尔. 利用多传感器SAR数据集监测城市地面沉降[J]. 测绘通报, 2021, 0(6): 71-75.
[15]	赵中枢, 张红峰. 基于分时散射目标的非城区地形PS-InSAR监测[J]. 测绘通报, 2021, 0(5): 68-72.