Landslide deformation monitoring based on the SBAS-InSAR technology and UAV image

doi:10.13474/j.cnki.11-2246.2022.0286

Abstract

Abstract: Due to the serious impact on human safety from landslide, it is of great significance for preventing landslide disasters to identify the landslide deformation accurately. Spatially continuous surface deformation monitoring can be performed using SBAS-InSAR technology, but the changes in the landslide boundary cannot be accurately obtained. In order to monitor the landslide comprehensively, the study adopts landslide deformation monitoring method combined with SBAS-InSAR technology and UAV image. A total of 80 Sentinel-1A SAR images are used from January 1 January 2018 to 24 December in 2020 for VV polarization and VH polarization data processing. The line of sight (LOS) direction deformation rate of landslide area is obtained by SBAS-InSAR technology, and several deformation points are selected for landslide deformation timing analysis. UAV is used to obtain landslide image and analyze the deformation of landslide boundary. Based on the verification of landslide cases, the experimental results show that the deformation trend of the landslide obtained by SBAS-InSAR technology and the UAV is basically consistent. The comprehensive deformation of landslide can be obtained through this method, which is of great significance for the judgment of landslide activity.

Key words: landslide, SBAS-InSAR technology, deformation monitoring, UAV

CLC Number:

P237

XI Wenfei, ZHAO Zilong, LI Guozhu, ZHOU Dingyi, YANG Zhengrong. Landslide deformation monitoring based on the SBAS-InSAR technology and UAV image[J]. Bulletin of Surveying and Mapping, 2022, 0(10): 1-6.

References

[1] 郭宁,张俊义,杨秀元,等.云南昭通窝子箐滑坡稳定性分析[J].山地学报, 2016, 34(3):305-309.
[2] 张勤,黄观文,杨成生.地质灾害监测预警中的精密空间对地观测技术[J].测绘学报, 2017, 46(10):1300-1307.
[3] 朱武,张勤,丁晓利.多参考点的PS-InSAR变形监测数据处理[J].测绘学报, 2012, 41(6):886-890.
[4] 翁昌凯,肖添.SBAS技术支持下的临沧市地表时序形变分析[J].测绘通报, 2021(7):81-85.
[5] 彭令,徐素宁,梅军军,等.地震滑坡高分辨率遥感影像识别[J].遥感学报,2017,21(4):509-518.
[6] 彭令,徐素宁,梅军军,等.资源三号卫星在汶川震区滑坡快速识别中的应用方法研究[J].遥感技术与应用,2018,33(1):185-192.
[7] 陈天博,胡卓玮,魏铼,等.无人机遥感数据处理与滑坡信息提取[J].地球信息科学学报, 2017, 19(5):692-701.
[8] HU Sheng, QIU Haijun, WANG Xingang, et al. Acquiring high-resolution topography and performing spatial analysis of loess landslides by using low-cost UAVs[J]. Landslides, 2018, 15(3):593-612.
[9] 刘俊龙.基于无人机影像的精细化地形建模在滑坡识别中的应用:以云南蒋家沟流域为例[D].绵阳:西南科技大学, 2019.
[10] 何秀凤,高壮,肖儒雅,等.多时相Sentinel-1A InSAR的连盐高铁沉降监测分析[J].测绘学报, 2021, 50(5):600-611.
[11] 康亚,赵超英,张勤,等. InSAR滑坡探测技术研究:以金沙江乌东德水电站段为例[J].大地测量与地球动力学, 2018, 38(10):1053-1057.
[12] COLESANTI C, FERRETTI A, PRATI C, et al. Monitoring landslides and tectonic motions with the permanent scatterers technique[J]. Engineering Geology, 2003, 68(1/2):3-14.
[13] BERGER M, MORENO J, JOHANNESSEN J A, et al. ESA's sentinel missions in support of Earth system science[J]. Remote Sensing of Environment, 2012, 120:84-90.
[14] 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.
[15] 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.
[16] 赵超英,刘晓杰,张勤,等.甘肃黑方台黄土滑坡InSAR识别、监测与失稳模式研究[J].武汉大学学报(信息科学版), 2019, 44(7):996-1007.
[17] WASOWSKI J, BOVENGA F. Investigating landslides and unstable slopes with satellite multi temporal interferometry:current issues and future perspectives[J]. Engineering Geology, 2014, 174:103-138.
[18] 廖明生,唐婧,王腾,等.高分辨率SAR数据在三峡库区滑坡监测中的应用[J].中国科学:地球科学, 2012, 42(2):217-229.
[19] CASCINI L, FORNARO G, PEDUTO D. Advanced low-and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales[J]. Engineering Geology, 2010, 112(1/2/3/4):29-42.
[20] DONG Jie, ZHANG Lu, TANG Minggao, et al. Mapping landslide surface displacements with time series SAR interferometry by combining persistent and distributed scatterers:a case study of Jiaju landslide in Danba, China[J]. Remote Sensing of Environment, 2018, 205:180-198.
[21] DU Weibing, JI Weiqian, XU Linjuan, et al. Deformation time series and driving-force analysis of glaciers in the eastern tienshan mountains using the SBAS InSAR method[J]. International Journal of Environmental Research and Public Health, 2020, 17(8):2836.
[22] 王霞迎,张菊清,张勤,等.升降轨InSAR与GPS数据集成反演西安形变场[J].测绘学报, 2016, 45(7):810-817.
[23] 李瑞.云南省巧家县震后地质灾害危险性评价[D].绵阳:西南科技大学, 2016.