Satellite InSAR as a New Tool for the Verification of Landslide Engineering Remedial Works at the Regional Scale: A Case Study in the Three Gorges Resevoir Area, China
Source abstract
Abstract
Several countries worldwide are funding large-scale programs to mitigate landslide risk by implementing engineering remedial works. However, the overall effectiveness of such measures is rarely monitored, and they are typically performed at the slope scale without fully exploiting the wide-area capabilities of remote sensing technologies. A multi-scale and multi-source monitoring procedure for evaluating the slope stability and the effectiveness of related remedial works was proposed in this study and applied in the middle section of the Three Gorges Reservoir Area (TGRA), China. The area is highly exposed to landslide hazards, and a massive program of engineering remedial works was recently implemented. Satellite interferometric synthetic aperture radar (InSAR)-based techniques were first exploited at the regional scale with the objective to provide a general overview of the deformative scenario and to highlight localized problems (active landslides or high deformation zones) to be further investigated; then, local-scale field investigation and multi-source ground monitoring data were employed to verify the deforming states of active landslides and to evaluate the effectiveness of the landslide engineering remedial works. The results indicated that, among the 310 mapped landslides in the study area, 52 were identified to be active and in a slow-moving state by satellite InSAR; Among the 58 controlled landslides, 9 of them were suspected to be active in a slow-moving state and require further concern. Particular attention was paid to two controlled landslides that were found in a continuously and progressively deforming state. We observed that the regional-scale program of slope stabilization was highly successful; however, the variation of the surrounding environmental setting could have led to landslide reactivation or partial invalidation of the landslide remedial works. The proposed multi-scale and multi-source monitoring framework is low-cost, easy to perform, and very straightforward to communicate to citizens and authorities. It can be easily implemented with very wide areas to assess the slope stability and to investigate the effectiveness of large-scale governmental risk mitigation programs, identifying precursor signals that could allow for intervention before reaching critical conditions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Landslides and related hazards · Synthetic Aperture Radar (SAR) Applications and Techniques · Cryospheric studies and observations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Engineering, China University of Geosciences, Wuhan 430074, China
Earth Sciences Department, University of Firenze, Via La Pira 4, 50121 Florence, Italy
School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China
Funding
National Key R&D Program of China
References (37)
Show source-provided references
1. Froude, M.J., and Petley, D.N. (2018). Global fatal landslide occurrence from 2004 to 2016. Nat. Hazards Earth Syst. Sci.10.5194/nhess-2018-49 ↗
2. Regional assessment of landslide impact in the Three Gorges area, China, using ASTER data: Wushan-Zigui10.1007/s10346-007-0080-5 ↗
3. Characterization of landslide deformations in Three Gorges area using multiple InSAR data stacks10.3390/rs5062704 ↗
4. Reservoir-induced landslides and risk control in Three Gorges Project on Yangtze River, China10.1016/j.jrmge.2016.08.001 ↗
5. Characterizing the spatial distribution and fundamental controls of landslides in the three gorges reservoir area, China10.1007/s10064-018-1404-5 ↗
6. Influence of filling-drawdown cycles of the Three Gorges reservoir on deformation and failure behaviors of anaclinal rock slopes in the Wu Gorge10.1016/j.geomorph.2017.07.028 ↗
7. Yin, K., Chen, L., Ma, F., and Cheng, W. (2019). Practice and thinking of landslides risk management considering secondary consequences in the Three-Gorges Reservoir, China. Landslides and Engineered Slopes. Experience, Theory and Practice, CRC Press.10.1201/9781315375007-254 ↗
8. Geohazards in the Three Gorges reservoir area, China—Lessons learned from decades of research10.1016/j.enggeo.2019.105267 ↗
9. Bardi, F., Raspini, F., Frodella, W., Lombardi, L., Nocentini, M., Gigli, G., Morelli, S., Corsini, A., and Casagli, N. (2017). Monitoring the rapid-moving reactivation of earth flows by means of GB-InSAR: The April 2013 Capriglio Landslide (Northern Appennines, Italy). Remote Sens., 9.10.3390/rs9020165 ↗
10. Raspini, F., Bardi, F., Bianchini, S., Ciampalini, A., Del Ventisette, C., Farina, P., Ferrigno, F., Solari, L., and Casagli, N. (2017). The contribution of satellite SAR-derived displacement measurements in landslide risk management practices. Nat. Hazards.10.1007/s11069-016-2691-4 ↗
11. Jaboyedoff, M., Oppikofer, T., Abellán, A., Derron, M.H., Loye, A., Metzger, R., and Pedrazzini, A. (2012). Use of LIDAR in landslide investigations: A review. Nat. Hazards.10.1007/s11069-010-9634-2 ↗
12. Bardi, F., Frodella, W., Ciampalini, A., Bianchini, S., Del Ventisette, C., Gigli, G., Fanti, R., Moretti, S., Basile, G., and Casagli, N. (2014). Integration between ground based and satellite SAR data in landslide mapping: The San Fratello case study. Geomorphology.10.1016/j.geomorph.2014.06.025 ↗
13. Persistent scatterer interferometry: A review10.1016/j.isprsjprs.2015.10.011 ↗
14. Advanced low- and full-resolution DInSAR map generation for slow-moving landslide analysis at different scales10.1016/j.enggeo.2010.01.003 ↗
15. InSAR measurements and viscoelastic modeling of sinkhole precursory subsidence: Implications for sinkhole formation, early warning, and sediment properties10.1002/2017JF004594 ↗
16. Persistent scatterers continuous streaming for landslide monitoring and mapping: The case of the Tuscany region (Italy)10.1007/s10346-019-01249-w ↗
17. Perspectives on the prediction of catastrophic slope failures from satellite InSAR
18. Berardino, P., Costantini, M., Franceschetti, G., Iodice, A., Pietranera, L., and Rizzo, V. (2003). Use of differential SAR interferometry in monitoring and modelling large slope instability at Maratea (Basilicata, Italy). Eng. Geol.10.1016/S0013-7952(02)00197-7 ↗
19. Di Maio, C., Fornaro, G., Gioia, D., Reale, D., Schiattarella, M., and Vassallo, R. (2018). In situ and satellite long-term monitoring of the Latronico landslide, Italy: Displacement evolution, damage to buildings, and effectiveness of remedial works. Eng. Geol.10.1016/j.enggeo.2018.08.017 ↗
20. Monitoring of remedial works performance on landslide-affected areas through ground- and satellite-based techniques10.1016/j.catena.2019.03.005 ↗
21. Xia, Y., Kaufmann, H., and Guo, X. (2002, January 24–28). Differential SAR interferometry using corner refletors. Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Toronto, ON, Canada.
22. Shi, X., Liao, M., Li, M., Zhang, L., and Cunningham, C. (2016). Wide-area landslide deformation mapping with multi-path ALOS PALSAR data stacks: A case study of Three Gorges area, China. Remote Sens., 8.10.3390/rs8020136 ↗
23. Shi, X., Zhang, L., Zhou, C., Li, M., and Liao, M. (2018). Retrieval of time series three-dimensional landslide surface displacements from multi-angular SAR observations. Landslides.10.1007/s10346-018-0975-3 ↗
24. Sassa, K., Canuti, P., and Yin, Y. (2014). Open image in new windowEvaluation on Effect for the Prevention and Control Against the Landslide Disasters in the Three Gorges Reservoir Area. Landslide Science for a Safer Geoenvironment, Springer.10.1007/978-3-319-05050-8 ↗
25. Annual variation of landslide stability under the effect of water level fluctuation and rainfall in the Three Gorges reservoir, China10.1007/s12665-017-6898-9 ↗
26. Xiao, T., Segoni, S., Chen, L., Yin, K., and Casagli, N. (2019). A step beyond landslide susceptibility maps: A simple method to investigate and explain the different outcomes obtained by different approaches. Landslides.10.1007/s10346-019-01299-0 ↗
27. Gui, L. (2014). Research on Landslide Development Regularities and Risk in Wan Zhou District, Three Gorges Reservoir. [Ph.D. Thesis, China University of Geosciences].
28. Miao, H., Wang, G., Yin, K., Kamai, T., and Li, Y. (2014). Mechanism of the slow-moving landslides in jurassic red-strata in the three gorges reservoir, China. Eng. Geol.10.1007/978-3-319-04996-0_95 ↗
29. Persistent Scatterer Interferometry (PSI) technique for landslide characterization and monitoring10.3390/rs5031045 ↗
30. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry10.1109/36.868878 ↗
31. Permanent scatterers in SAR interferometry10.1109/36.898661 ↗
32. Quantitative hazard and risk assessment for slow-moving landslides from Persistent Scatterer Interferometry10.1007/s10346-013-0432-2 ↗
33. Getis, A., and Ord, J.K. (1992). The analysis of spatial association by use of distance statistics. Geogr. Anal.10.1111/j.1538-4632.1992.tb00261.x ↗
34. Popescu, M.E., and Sasahara, K. (2009). Engineering measures for landslide disaster mitigation. Landslides—Disaster Risk Reduction, Springer.10.1007/978-3-540-69970-5_32 ↗
35. In-situ monitoring platform and preliminary analysis of monitoring data of Majiagou landslide with stabilizing piles10.1016/j.enggeo.2017.09.001 ↗
36. Field monitoring and deformation characteristics of a landslide with piles in the Three Gorges reservoir area10.1007/s10346-018-0945-9 ↗
37. Human-induced coastal landslide reactivation. Monitoring by PSInSAR techniques and urban damage survey (SE Spain)10.1007/s10346-015-0612-3 ↗