基于SBAS技术的九寨沟震后地表形变监测
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摘要
2017-08-08九寨沟Ms7.0地震给当地人民和生态环境带来了巨大的损失,灾后重建成为当地的一项重要任务。文中选取九寨沟地震区震后2017-08-14—2018-07-01的Sentinel-1A数据作为SAR影像,采用小基线集技术监测该地区时间序列形变。研究结果基本查明该区域的整体形变情况,并从中找到下沉较为明显和形变规律异常的区域,为震区灾后重建、地表形变监测和地质灾害预防提供理论和数据支持。
On August 8, 2017, Ms7.0 Jiuzhaigou Earthquake caused huge losses to the ecological environment and the local people. Post-disaster reconstruction has also become an important task in the local area. In this study, Sentinel-1 A data from August 14, 2017 to July 1, 2018 was selected as the SAR image, and the time series deformation was monitored by Small Baseline Subset technique. The result of this study basically identifies the overall deformation of the area, and finds the areas with obvious subsidence or abnormal deformation, providing a theoretical and data support for reconstruction, surface deformation monitoring and geological disaster prevention in the earthquake area.
On August 8, 2017, Ms7.0 Jiuzhaigou Earthquake caused huge losses to the ecological environment and the local people. Post-disaster reconstruction has also become an important task in the local area. In this study, Sentinel-1 A data from August 14, 2017 to July 1, 2018 was selected as the SAR image, and the time series deformation was monitored by Small Baseline Subset technique. The result of this study basically identifies the overall deformation of the area, and finds the areas with obvious subsidence or abnormal deformation, providing a theoretical and data support for reconstruction, surface deformation monitoring and geological disaster prevention in the earthquake area.
引文
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[10] 刘筱怡.基于SBAS-InSAR鲜水河断裂带及蠕滑型滑坡特征研究[D].北京:中国地质大学(北京),2017.
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[12] ZHOU L,GUO J,HU J,et al.Wuhan Surface Subsidence Analysis in 2015-2016 Based on Sentinel-1A Data by SBAS-InSAR [J].Remote Sensing 2017,9,982.
[13] 范军,左小清,李涛,等.PS-InSAR和SBAS-InSAR技术对昆明主城区地面沉降监测的对比分析[J].测绘工程,2018,27(6):50-58.
[14] 赵蓉.基于SBAS-InSAR的冻土形变建模及活动层厚度反演研究[D].长沙:中南大学,2014.
[2] 单新建,屈春燕,龚文瑜,等.2017年8月8日四川九寨沟7.0级地震InSAR同震形变场及断层滑动分布反演[J].地球物理学报,2017,60(12):4527-4536.
[3] 陈磊,赵学胜.结合InSAR的矿区大梯度变形监测技术进展[J].测绘通报,2018(7):18-23.
[4] MASSONNET D,FEIGL K L.Radar Interferometry and Its Application to Changes in the Earth’s Surface [J].Reviews of Geophysics,1998,36(4):441- 500.
[5] 郭山川,侯湖平,张绍良,等.时序InSAR在城市地铁工程区形变监测中的应用[J].测绘通报,2017(8):92-99.
[6] FERRETTI A,PRATI C,ROCCA F,Permanent Scatterers in SAR Interferometry [J].IEEE Transactions on Geoscience & Remote Sensing,2011,39(1):8-20.
[7] BERARDINO P,FORNARO G,LANARI R,et al.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J].Geoscience and Remote Sensing,IEEE Transactions on,2002,40(11):2375-2383.
[8] LANARI R,MORA O,MANUNTA M,et al.A Small-baseline Approach for Investigating Deformations on Full-resolution Differential SAR Interferograms [J].IEEE Transaction on Geoscience & Remote Sensing,2004,42(7):1377-1386.
[9] 俞晓莹.改进的SBAS地表形变监测及地下水应用研究[D].长沙:中南大学,2012.
[10] 刘筱怡.基于SBAS-InSAR鲜水河断裂带及蠕滑型滑坡特征研究[D].北京:中国地质大学(北京),2017.
[11] 刘广全.基于SBAS-InSAR的丹巴县滑坡探测与监测[D].西安:长安大学,2015.
[12] ZHOU L,GUO J,HU J,et al.Wuhan Surface Subsidence Analysis in 2015-2016 Based on Sentinel-1A Data by SBAS-InSAR [J].Remote Sensing 2017,9,982.
[13] 范军,左小清,李涛,等.PS-InSAR和SBAS-InSAR技术对昆明主城区地面沉降监测的对比分析[J].测绘工程,2018,27(6):50-58.
[14] 赵蓉.基于SBAS-InSAR的冻土形变建模及活动层厚度反演研究[D].长沙:中南大学,2014.