Failure process and three-dimensional motions of mining-induced Jianshanying landslide in China observed by optical, LiDAR and SAR datasets

References

• Bamler, R. 2000. “Interferometric Stereo Radargrammetry: Absolute Height Determination from ERS-ENVISAT Interferograms.” Paper presented at the IGARSS.
   Google Scholar
• Bernard, T., D. Lague, and P. Steer. 2021. “Beyond 2D Landslide Inventories and Their Rollover: Synoptic 3D Inventories and Volume from Repeat Lidar Data.” Earth Surface Dynamics 9 (4): 1013–20. https://doi.org/10.5194/esurf-9-1013-2021.
   Web of Science ®Google Scholar
• Bhuyan, K., S. R. Meena, L. Nava, C. V Westen, M. Floris, and F. Catani. 2023. “Mapping Landslides Through a Temporal Lens: An Insight Toward Multi-Temporal Landslide Mapping Using the U-Net Deep Learning Model.” GIScience Remote Sensing 60 (1). https://doi.org/10.1080/15481603.2023.2182057.
   Web of Science ®Google Scholar
• Burns, W., J. Coe, B. Kaya, and L. Ma. 2010. “Analysis of Elevation Changes Detected from Multi-Temporal LiDar Surveys in Forested Landslide Terrain in Western Oregon.” Environmental Engineering Geoscience 16 (4): 315–341. https://doi.org/10.2113/gseegeosci.16.4.315.
   Web of Science ®Google Scholar
• Cai, J., L. Zhang, J. Dong, C. Wang, and M. Liao. 2022. “Polarimetric SAR Pixel Offset Tracking for Large-Gradient Landslide Displacement Mapping.” International Journal of Applied Earth Observation Geoinformation 112. https://doi.org/10.1016/j.jag.2022.102867.
   Web of Science ®Google Scholar
• Casagli, N., W. Frodella, S. Morelli, V. Tofani, A. Ciampalini, E. Intrieri, F. Raspini, G. Rossi, L. Tanteri, and P. Lu. 2017. “Spaceborne, UAV and Ground-Based Remote Sensing Techniques for Landslide Mapping, Monitoring and Early Warning.” Geoenvironmental Disasters 4:1–23. https://doi.org/10.1186/s40677-017-0073-1.
   Google Scholar
• Chen, L., C. Zhao, B. Li, K. He, C. Ren, X. Liu, and D. Liu. 2021. “Deformation Monitoring and Failure Mode Research of Mining-Induced Jianshanying Landslide in Karst Mountain Area, China with ALOS/PALSAR-2 Images.” Landslides 18 (8): 2739–2750. https://doi.org/10.1007/s10346-021-01678-6.
   Web of Science ®Google Scholar
• Dai, K., J. Deng, Q. Xu, Z. Li, X. Shi, C. Hancock, N. Wen, L. Zhang, and G. Zhuo. 2022. “Interpretation and Sensitivity Analysis of the InSar Line of Sight Displacements in Landslide Measurements.” GIScience Remote Sensing 59 (1): 1226–1242. https://doi.org/10.1080/15481603.2022.2100054.
   Web of Science ®Google Scholar
• Dong, J., H. Li, Y. Wang, and Y. Zhang. 2021. “Characteristics and Monitoring-Based Analysis on Deformation Mechanism of Jianshanying Landslide, Guizhou Province, Southwestern China.” Arabian Journal of Geosciences 14 (3): 1–10. https://doi.org/10.1007/s12517-021-06473-0.
   Google Scholar
• Eker, R., A. Aydın, and J. Hübl. 2018. “Unmanned Aerial Vehicle (UAV)-Based Monitoring of a Landslide: Gallenzerkogel Landslide (Ybbs-Lower Austria) Case Study.” Environmental Monitoring Assessment 190 (1): 1–14. https://doi.org/10.1007/s10661-017-6402-8.
   Web of Science ®Google Scholar
• Fan, X., Q. Xu, G. Scaringi, G. Zheng, R. Huang, L. Dai, and Y. Ju. 2019. “The ‘Long’ Runout Rock Avalanche in Pusa, China, on August 28, 2017: A Preliminary Report.” Landslides 16 (1): 139–154. https://doi.org/10.1007/s10346-018-1084-z.
   Web of Science ®Google Scholar
• Goldstein, R. M., and L. C. Werner. 1998. “Radar Interferogram Filtering for Geophysical Applications.” Geophysical Research Letters 25 (21): 4035–4038. https://doi.org/10.1029/1998GL900033.
   Web of Science ®Google Scholar
• He, K., J. Li, B. Li, Z. Zhao, C. Zhao, Y. Gao, and Z. Liu. 2022. “The Pingdi Landslide in Shuicheng, Guizhou, China: Instability Process and Initiation Mechanism.” Bulletin of Engineering Geology the Environment 81 (4): 1–17. https://doi.org/10.1007/s10064-022-02596-0.
   Web of Science ®Google Scholar
• He, P., Y. Wen, C. Xu, and Y. Chen. 2019. “Complete Three-Dimensional Near-Field Surface Displacements from Imaging Geodesy Techniques Applied to the 2016 Kumamoto Earthquake.” Remote Sensing of Environment 232. https://doi.org/10.1016/j.rse.2019.111321.
   Google Scholar
• Hölbling, D., C. Eisank, F. Albrecht, F. Vecchiotti, B. Friedl, E. Weinke, and A. Kociu. 2017. “Comparing Manual and Semi-Automated Landslide Mapping Based on Optical Satellite Images from Different Sensors.” Geosciences 7 (2): 37. https://doi.org/10.3390/geosciences7020037.
   Web of Science ®Google Scholar
• Hu, X., R. Bürgmann, J. E. Fielding, and H. Lee. 2020. “Internal Kinematics of the Slumgullion Landslide (USA) from High-Resolution UAVSAR InSar Data.” Remote Sensing of Environment 251:112057. https://doi.org/10.1016/j.rse.2020.112057.
   Web of Science ®Google Scholar
• Hu, J., Z. Li, Q. Sun, J. Zhu, and X. Ding. 2012. “Three-Dimensional Surface Displacements from InSar and GPS Measurements with Variance Component Estimation.” IEEE Geoscience Remote Sensing Letters 9 (4): 754–758. https://doi.org/10.1109/LGRS.2011.2181154.
   Web of Science ®Google Scholar
• Intrieri, E., F. Raspini, A. Fumagalli, P. Lu, D. S. Conte, P. Farina, J. Allievi, A. Ferretti, and N. Casagli. 2018. “The Maoxian Landslide as Seen from Space: Detecting Precursors of Failure with Sentinel-1 Data.” Landslides 15 (1): 123–133. https://doi.org/10.1007/s10346-017-0915-7.
   Web of Science ®Google Scholar
• Kakavas, M. P., and K. Nikolakopoulos. 2021. “Digital Elevation Models of Rockfalls and Landslides: A Review and Meta-Analysis.” Geosciences 11 (6): 1–29. https://doi.org/10.3390/geosciences11060256.
   Web of Science ®Google Scholar
• Kang, Y., Z. Lu, C. Zhao, Y. Xu, J. Kim, and A. Gallegos. 2021. “InSar Monitoring of Creeping Landslides in Mountainous Regions: A Case Study in Eldorado National Forest, California.” Remote Sensing of Environment 258:112400. https://doi.org/10.1016/j.rse.2021.112400.
   Web of Science ®Google Scholar
• Kyriou, A., and K. Nikolakopoulos. 2020. “Landslide Mapping Using Optical and Radar Data: A Case Study from Aminteo, Western Macedonia Greece.” European Journal of Remote Sensing 53:17–27. https://doi.org/10.1080/22797254.2019.1681905.
   Web of Science ®Google Scholar
• Lacroix, P., A. Dehecq, and E. Taipe. 2020. “Irrigation-Triggered Landslides in a Peruvian Desert Caused by Modern Intensive Farming.” Nature Geoscience 13 (1): 56–60. https://doi.org/10.1038/s41561-019-0500-x.
   Web of Science ®Google Scholar
• Leprince, S., S. Barbot, F. Ayoub, and J. Avouac. 2007. “Automatic and Precise Orthorectification, Coregistration, and Subpixel Correlation of Satellite Images, Application to Ground Deformation Measurements.” IEEE Transactions on Geoscience Remote Sensing 45 (6): 1529–1558. https://doi.org/10.1109/TGRS.2006.888937.
   Web of Science ®Google Scholar
• Li, J., B. Li, K. He, Y. Gao, J. Wan, W. Wu, and H. Zhang. 2022. “Failure Mechanism Analysis of Mining-Induced Landslide Based on Geophysical Investigation and Numerical Modelling Using Distinct Element Method.” Remote Sensing 14 (23): 6071. https://doi.org/10.3390/rs14236071.
   Web of Science ®Google Scholar
• Liu, X., C. Zhao, Q. Zhang, Z. Lu, and Z. Li. 2020. “Deformation of the Baige Landslide, Tibet, China, Revealed Through the Integration of Cross‐Platform ALOS/PALSAR‐1 and ALOS/PALSAR‐2 SAR Observations.” Geophysical Research Letters 47 (3): e2019GL086142. https://doi.org/10.1029/2019GL086142.
   Web of Science ®Google Scholar
• Liu, X., C. Zhao, Q. Zhang, Y. Yin, Z. Lu, S. Samsonov, C. Yang, M. Wang, and R. Tomás. 2021. “Three-Dimensional and Long-Term Landslide Displacement Estimation by Fusing C-And L-Band SAR Observations: A Case Study in Gongjue County, Tibet, China.” Remote Sensing of Environment 267:112745. https://doi.org/10.1016/j.rse.2021.112745.
   Web of Science ®Google Scholar
• Li, M., L. Zhang, C. Ding, W. Li, H. Luo, M. Liao, and Q. Xu. 2020. “Retrieval of Historical Surface Displacements of the Baige Landslide from Time-Series SAR Observations for Retrospective Analysis of the Collapse Event.” Remote Sensing of Environment 240:111695. https://doi.org/10.1016/j.rse.2020.111695.
   Web of Science ®Google Scholar
• Lyons, S., and D. Sandwell. 2003. “Fault Creep Along the Southern San Andreas from Interferometric Synthetic Aperture Radar, Permanent Scatterers, and Stacking.” Journal of Geophysical Research: Solid Earth 108 (B1). https://doi.org/10.1029/2002JB001831.
   Web of Science ®Google Scholar
• Pieczonka, T., T. Bolch, J. Wei, and S. Liu. 2013. “Heterogeneous Mass Loss of Glaciers in the Aksu-Tarim Catchment (Central Tien Shan) Revealed by 1976 KH-9 Hexagon and 2009 SPOT-5 Stereo Imagery.” Remote Sensing of Environment 130:233–244. https://doi.org/10.1016/j.rse.2012.11.020.
   Web of Science ®Google Scholar
• Plank, S., A. Twele, and S. Martinis. 2016. “Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data.” Remote Sensing 8 (4): 307. https://doi.org/10.3390/rs8040307.
   Web of Science ®Google Scholar
• Qu, F., H. Qiu, H. Sun, and M. Tang. 2021. “Post-Failure Landslide Change Detection and Analysis Using Optical Satellite Sentinel-2 Images.” Landslides 18 (1): 447–455. https://doi.org/10.1007/s10346-020-01498-0.
   Web of Science ®Google Scholar
• Raucoules, D., D. M. Michele, J. P. Malet, and P. Ulrich. 2013. “Time-Variable 3D Ground Displacements from High-Resolution Synthetic Aperture Radar (SAR). Application to La Valette Landslide (South French Alps.” Remote Sensing of Environment 139:198–204. https://doi.org/10.1016/j.rse.2013.08.006.
   Web of Science ®Google Scholar
• Rossi, G., L. Tanteri, V. Tofani, P. Vannocci, S. Moretti, and N. Casagli. 2018. “Multitemporal UAV Surveys for Landslide Mapping and Characterization.” Landslides 15 (5): 1045–1052. https://doi.org/10.1007/s10346-018-0978-0.
   Web of Science ®Google Scholar
• Rosu, A., M. Pierrot-Deseilligny, A. Delorme, R. Binet, and Y. Klinger. 2015. “Measurement of Ground Displacement from Optical Satellite Image Correlation Using the Free Open-Source Software MicMac.” ISPRS Journal of Photogrammetry Remote Sensing 100:48–59. https://doi.org/10.1016/j.isprsjprs.2014.03.002.
   Web of Science ®Google Scholar
• Rott, H., M. Stuefer, A. Siegel, P. Skvarca, and A. Eckstaller. 1998. “Mass Fluxes and Dynamics of Moreno Glacier, Southern Patagonia Icefield.” Geophysical Research Letters 25 (9): 1407–1410. https://doi.org/10.1029/98GL00833.
   Web of Science ®Google Scholar
• Rupnik, E., M. Daakir, and P. M. Deseilligny. 2017. “MicMac–A Free, Open-Source Solution for Photogrammetry.” Open Geospatial Data, Software and Standards 2 (1): 1–9. https://doi.org/10.1186/s40965-017-0027-2.
   Google Scholar
• Samsonov, S., A. Dille, O. Dewitte, F. Kervyn, and N. d’Oreye. 2020. “Satellite Interferometry for Mapping Surface Deformation Time Series in One, Two and Three Dimensions: A New Method Illustrated on a Slow-Moving Landslide.” Engineering Geology 266:105471. https://doi.org/10.1016/j.enggeo.2019.105471.
   Web of Science ®Google Scholar
• Scaioni, M., L. Longoni, V. Melillo, and M. Papini. 2014. “Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives.” Remote Sensing 6 (10): 9600–9652. https://doi.org/10.3390/rs6109600.
   Web of Science ®Google Scholar
• Shugar, D. H., M. Jacquemart, D. Shean, S. Bhushan, K. Upadhyay, A. Sattar, W. Schwanghart, S. McBride, W. Van, and M. Mergili. 2021. “A Massive Rock and Ice Avalanche Caused the 2021 Disaster at Chamoli, Indian Himalaya.” Science 373 (6552): 300–306. https://doi.org/10.1126/science.abh4455.
   PubMed Web of Science ®Google Scholar
• Spinetti, C., M. Bisson, C. Tolomei, L. Colini, A. Galvani, M. Moro, M. Saroli, and V. Sepe. 2019. “Landslide Susceptibility Mapping by Remote Sensing and Geomorphological Data: Case Studies on the Sorrentina Peninsula (Southern Italy).” GIScience Remote Sensing 56 (6): 940–965. https://doi.org/10.1080/15481603.2019.1587891.
   Web of Science ®Google Scholar
• Teo, T., Y. Fu, K. Li, M. Weng, and C. Yang. 2023. “Comparison Between Image-And Surface-Derived Displacement Fields for Landslide Monitoring Using an Unmanned Aerial Vehicle.” International Journal of Applied Earth Observation Geoinformation 116. https://doi.org/10.1016/j.jag.2022.103164.
   Web of Science ®Google Scholar
• Traglia, D. F., D. C. Luca, M. Manzo, T. Nolesini, N. Casagli, R. Lanari, and F. Casu. 2021. “Joint Exploitation of Space-Borne and Ground-Based Multitemporal InSar Measurements for Volcano Monitoring: The Stromboli Volcano Case Study.” Remote Sensing of Environment 260. https://doi.org/10.1016/j.rse.2021.112441.
   Google Scholar
• Wang, Z., J. Hu, Y. Chen, X. Liu, J. Liu, W. Wu, and Y. Wang. 2022. “Integration of Ground-Based and Space-Borne Radar Observations for Three-Dimensional Deformations Reconstruction: Application to Luanchuan Mining Area, China.” Geomatics, Natural Hazards and Risk 13 (1): 2819–2839. https://doi.org/10.1080/19475705.2022.2134828.
   Web of Science ®Google Scholar
• Wang, T., and S. Jónsson. 2015. “Improved SAR Amplitude Image Offset Measurements for Deriving Three-Dimensional Coseismic Displacements.” IEEE Journal of Selected Topics in Applied Earth Observations Remote Sensing 8 (7): 3271–3278. https://doi.org/10.1109/JSTARS.2014.2387865.
   Web of Science ®Google Scholar
• Wang, J., C. Wang, C. Xie, H. Zhang, Y. Tang, Z. Zhang, and C. Shen. 2020. “Monitoring of Large-Scale Landslides in Zongling, Guizhou, China, with Improved Distributed Scatterer Interferometric SAR Time Series Methods.” Landslides 17 (8): 1777–1795. https://doi.org/10.1007/s10346-020-01407-5.
   Web of Science ®Google Scholar
• Werner, C., U. Wegmüller, T. Strozzi, and A. Wiesmann. 2002. “Processing Strategies for Phase Unwrapping for InSAR Applications.” In Proceedings of EUSAR, Cologne.
   Google Scholar
• Xiong, Z., G. Feng, Z. Feng, L. Miao, Y. Wang, D. Yang, and S. Luo. 2020. “Pre-And Post-Failure Spatial-Temporal Deformation Pattern of the Baige Landslide Retrieved from Multiple Radar and Optical Satellite Images.” Engineering Geology 279. https://doi.org/10.1016/j.enggeo.2020.105880.
   Web of Science ®Google Scholar
• Xu, C., K. Ding, J. Cai, and W. E. Grafarend. 2009. “Methods of Determining Weight Scaling Factors for Geodetic–Geophysical Joint Inversion.” Journal of Geodynamics 47 (1): 39–46. https://doi.org/10.1016/j.jog.2008.06.005.
   Web of Science ®Google Scholar
• Xu, Y., Z. Lu, W. H. Schulz, and J. Kim. 2020. “Twelve‐Year Dynamics and Rainfall Thresholds for Alternating Creep and Rapid Movement of the Hooskanaden Landslide from Integrating InSar, Pixel Offset Tracking, and Borehole and Hydrological Measurements.” Journal of Geophysical Research: Earth Surface 125 (10). https://doi.org/10.1029/2020JF005640.
   PubMed Web of Science ®Google Scholar
• Yu, J., J. Zhao, H. Yan, Q. Lai, R. Huang, X. Liu, and Y. Li. 2020. “Deformation and Failure of a High-Steep Slope Induced by Multi-Layer Coal Mining.” Journal of Mountain Science 17 (12): 2942–2960. https://doi.org/10.1007/s11629-019-5941-6.
   Web of Science ®Google Scholar
• Zhang, W., W. Zhu, X. Tia, Q. Zhang, C. Zhao, Y. Niu, and C. Wang. 2021. “Improved DEM Reconstruction Method Based on Multibaseline InSar.” IEEE Geoscience Remote Sensing Letters 19:1–5. https://doi.org/10.1109/LGRS.2021.3069239.
   Web of Science ®Google Scholar
• Zhao, C., and Z. Lu. 2018. “Remote Sensing of Landslides—A Review.” Remote Sensing 10 (2). https://doi.org/10.3390/rs10020279.
   Web of Science ®Google Scholar
• Zhao, C., Z. Lu, and Q. Zhang. 2013. “Time-Series Deformation Monitoring Over Mining Regions with SAR Intensity-Based Offset Measurements.” Remote Sensing Letters 4 (5): 436–445. https://doi.org/10.1080/2150704X.2012.746482.
   Web of Science ®Google Scholar
• Zhao, J., X. Wan, Y. Shi, J. Wei, and L. Min. 2021. “Deformation Behavior of Mining Beneath Flat and Sloping Terrains in Mountainous Areas.” Geofluids. https://doi.org/10.1155/2021/6689966.
   Web of Science ®Google Scholar
• Zhou, Y., Z. Li, and J. Li. 2017. “Slight Glacier Mass Loss in the Karakoram Region During the 1970s to 2000 Revealed by KH-9 Images and SRTM DEM.” Journal of Glaciology 63 (238): 331–342. https://doi.org/10.1017/jog.2016.142.
   Web of Science ®Google Scholar