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Abstract

In alpine and canyon areas, the problems of reservoir bank deformation and landslides are prominent. How to quickly and efficiently monitor deformation, timely identify geological disasters, and carry out surveys and treatments has become a crucial issue to be resolved urgently. Traditional survey methods are restricted by factors such as steep terrain and inconvenient transportation, resulting in low efficiency. In recent years, remote sensing technology has developed rapidly in the field of geological disaster monitoring, thanks to its high-precision deformation monitoring capabilities. This study is based on the Baihetan Hydropower Station during the water storage stage. The InSAR deformation monitoring technology is used to conduct large-scale disaster risk screening of the reservoir bank slopes. Firstly, the study analyzes the characteristics of UAV laser point clouds and images to construct a point cloud sequence. Subsequently, an improved iterative closest point (ICP) algorithm that integrates the scale-invariant feature transform (SIFT) and cylindrical neighborhood search is applied to improve the accuracy of slope deformation extraction. Finally, with the help of recognition algorithms and practical engineering experience, the surface deformation is analyzed based on the measured terrain data. The research shows that the surface deformation recognition technology based on UAV inspection and InSAR data has significant advantages in the monitoring of geological disasters in reservoirs in alpine and canyon areas. It can detect potential hazards in a timely manner and provide key decision-making basis for engineering projects.

Keywords

surface deformation UAV inspection InSAR technology geological hazards point cloud data

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References

Zheng

Zhang

Deng

, et al. Analysis of pre-and post-mine closure surface deformations in western Xuzhou coalfield from 2006 to 2018. IEEE Access 2019; 7: 124158–124172.

Wang

Yan

Yang

, et al. Deriving mining-induced 3-D deformations at any moment and assessing building damage by integrating single InSAR interferogram and gompertz probability integral model (SII-GPIM). IEEE Trans Geosci Rem Sens 2022; 60: 1–17.

Chen

Suo

, et al. Active–Passive remote sensing identification of underground coal fire zones with joint constraints of temperature and surface deformation time series. IEEE J Sel Top Appl Earth Obs Rem Sens 2023; 17: 894–915.

Liu

Yang

Jiao

, et al. A new deformation enhancement method based on multi-temporal InSAR for landslide surface stability assessment. IEEE J Sel Top Appl Earth Obs Rem Sens 2024; 19: 1–15.

Kenyi

Kaufmann

. Estimation of rock glacier surface deformation using SAR interferometry data. IEEE Trans Geosci Rem Sens 2003; 41(6): 1512–1515.

. Time-series InSAR technology for ascending and descending orbital images to monitor surface deformation of the metro network in Chengdu. IEEE J Sel Top Appl Earth Obs Rem Sens 2021; 14: 12583–12597.

Yang

Liu

Fan

, et al. Identification and analysis of deformation areas in the construction stage of pumped storage power station using GB-InSAR technology. IEEE J Sel Top Appl Earth Obs Rem Sens 2023; 16: 4931–4946.

Liu

Yang

, et al. Spatio-temporal characteristics and driving mechanism of alpine peatland InSAR surface deformation-A case study of Maduo County, China. IEEE J Sel Top Appl Earth Obs Rem Sens 2024; 99: 1–23.

Tian

Wang

, et al. Monitoring and assessment of SBAS-InSAR deformation for sustainable development of closed mining areas—a case of nanzhuang mining area. IEEE Access 2023; 11: 22935–22947.

10.

Kim

Valdes-Hernandez

Royle

, et al. Hippocampal shape modeling based on a progressive template surface deformation and its verification. IEEE Trans Med Imag 2014; 34(6): 1242–1261.

11.

Yang

Liu

Fan

12.

Tian

Wang

(2023). Monitoring and assessment of SBAS-InSAR deformation for sustainable development of closed mining areas—a case of nanzhuang mining area. IEEE Access, 11, 22935–22947. Zebker, M. S., Chen, J., & Hesse, M. A. (2023). Robust surface deformation and tropospheric noise characterization from common-reference interferogram subsets. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-14.

13.

Shi

Lai

Morra

, et al. Robust surface reconstruction via Laplace-Beltrami Eigen-projection and boundary deformation. IEEE Trans Med Imag 2010; 29(12): 2009–2022.

14.

Liu

Yang

15.

Diao

Sun

Zhang

, et al. Spatiotemporal evolution law and the mechanism of abnormal surface deformation in fault-affected mining zones. IEEE Access 2023; 11: 119733–119747.

16.

Yan

Yang

, et al. Time-series analysis and prediction of surface deformation in the Jinchuan mining area, Gansu Province, by using InSAR and CNN–PhLSTM network. IEEE J Sel Top Appl Earth Obs Rem Sens 2022; 15: 6732–6751.

17.

18.

Vadivel

SKP

Kim

. Urban subsidence monitoring in Pohang city using time-series insar technique. In: 2022 13th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2022, pp. 913–916.

19.

Kim

Jung

, et al. Monitoring the stability of tide gauges using time-series INSAR analysis: a case study in Pohang, South Korea. In: IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019, pp. 2010–2013.

20.

Banda

Tebaldini

. Texture-free absolute DEM retrieval from opposite-side multibaseline InSAR data. Geosci Rem Sens Lett IEEE 2015; 13(1): 43–47.

21.

Meng

Sethu

Ambikairajah

, et al. A novel technique for noise reduction in InSAR images. Geosci Rem Sens Lett IEEE 2007; 4(2): 226–230.

22.

Motagh

Djamour

Walter

, et al. Land subsidence in Mashhad Valley, northeast Iran: results from InSAR, levelling and GPS. Geophys J Int 2007; 168(2): 518–526.

23.

Funning

Parsons

Wright

. Fault slip in the 1997 Manyi, Tibet earthquake from linear elastic modelling of InSAR displacements. Geophys J Int 2007; 169(3): 988–1008.

24.

Bakon

Oliveira

Perissin

, et al. A data mining approach for multivariate outlier detection in postprocessing of multitemporal InSAR results. IEEE J Sel Top Appl Earth Obs Rem Sens 2017; 10(6): 313–317.

25.

Schmitt

Stilla

. Compressive sensing based layover separation in airborne single-pass multi-baseline InSAR data. Geosci Rem Sens Lett IEEE 2012; 10(2): 313–317.

26.

Schmitt

Stilla

. Layover separation in airborne single pass multi-baseline InSAR data based on compressive sensing. In: EUSAR 2012; 9th European Conference on Synthetic Aperture Radar. VDE, 2012, pp. 30–33.

27.

Barbouchi

Abdelfattah

Chokmani

, et al. Soil salinity characterization using polarimetric InSAR coherence: case studies in Tunisia and Morocco. IEEE J Sel Top Appl Earth Obs Rem Sens 2014; 8(8): 3823–3832.

28.

Bos

Usai

Spakman

. A joint analysis of GPS motions and InSAR to infer the coseismic surface deformation of the Izmit, Turkey earthquake. Geophys J Int 2004; 158(3): 849–863.

29.

Esmaeili

Motagh

Hooper

. Application of dual-polarimetry SAR images in multitemporal InSAR processing. Geosci Rem Sens Lett IEEE 2017; 14(9): 1489–1493.

Research on surface deformation recognition technology based on UAV inspection and InSAR data

Abstract

Keywords

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