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Landslide Investigation Based on Satellite Remote Sensing and Numerical Modeling: A Case Study of Slope Failure in Kennon Road, Benguet, in the Philippines

*Ryan Angeles Ramirez orcid scopus  -  Department of Civil Engineering, University of Santo Tomas, Manila 1015, Philippines, Philippines
Jann Rheynald Cañeda  -  PGA Earth Structures Solution, Inc., Quezon 1103, Philippines, Philippines
Irvin Olchondra  -  PGA Earth Structures Solution, Inc., Quezon 1103, Philippines, Philippines
Mark Morales  -  PGA Earth Structures Solution, Inc., Quezon 1103, Philippines, Philippines

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Abstract

The structural stability and serviceability of transport infrastructure in mountainous regions are increasingly compromised by climate- and human-induced geohazards. Traditional ground-based geodetic monitoring methods, while reliable, are often limited by high costs, labor demands, and restricted spatial coverage. This study aims to develop a cost-effective monitoring framework integrating satellite remote sensing and numerical stability analysis to detect precursory slope movements in mountainous terrains. The study utilized 43 Sentinel-1 (S1) C-band SAR images acquired between January 10, 2022, and May 29, 2023. Using the Persistent Scatterer Interferometric SAR (PSInSAR) method, the research monitored a critical section of Kennon Road in Benguet, Philippines. The S1-PSInSAR analysis identified precursory instability beginning in March 2023, approximately two months before a major slope failure occurred on May 31, 2023, due to heavy rainfall from a super typhoon. The results indicate a maximum cumulative displacement of 34 mm along the radar line-of-sight. These findings were cross-validated using limit equilibrium analysis in Slide2 software, which yielded safety factors (FS) significantly below unity for all methods, confirming the inherent instability of the slope even under dry conditions. The study concludes that despite technical challenges such as dense vegetation and atmospheric interference in mountainous terrain, the integrated PSInSAR and numerical modeling approach provides a viable, near-real-time tool for enhancing the resilience of transport infrastructure networks in the Philippines.

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Keywords: Landslide Investigation; Satellite Remote Sensing; Numerical Modeling; Slope Failure; Kennon Road

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  1. Abcede, E.L., Ajesta, A., Alfonso, J., Nucup, R.J., Peralta, M., & Ramirez, R. (2022). InSAR-based detection and mapping of seismically induced ground surface displacement and damage in Pampanga, Philippines. ASEAN Eng. J., 12(2), 1–10
  2. Albattah, M. (2003). Landslide monitoring using precise levelling observations. Surv. Rev., 37(288), 127–136
  3. Alonzo, C.A., Galabay, J.M., Macatangay, M.N., Magpayo, M.B., & Ramirez, R. (2023). Drought risk assessment and monitoring of Ilocos Norte Province in the Philippines using satellite remote sensing and meteorological data. AgriEngineering, 5(2), 720–739
  4. Bato, M.G., Lundgren, P., Pinel, V., Solidum, R. Jr., Daag, A., & Cahulogan, M. (2021). The 2020 eruption and large lateral dike emplacement at Taal Volcano, Philippines: Insights from satellite radar data. Geophys. Res. Lett., 48(7), e2021GL092803
  5. Bianchini Ciampoli, L., Gagliardi, V., Clementini, C., Latini, D., Del Frate, F., & Benedetto, A. (2020). Transport infrastructure monitoring by InSAR and GPR data fusion. Surv. Geophys., 41, 371–394
  6. Catane, S.G., Veracruz, N.A.S., Flora, J.R.R., Go, C.M.M., Enrera, R.E., & Santos, E.R.U. (2019). Mechanism of a low-angle translational block slide: Evidence from the September 2018 Naga landslide, Philippines. Landslides, 16, 1709–1719
  7. Chang, L., Dollevoet, R.P.B.J., & Hanssen, R.F. (2017). Nationwide railway monitoring using satellite SAR interferometry. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 10(2), 596–604
  8. Chang, P.C., Flatau, A., & Liu, S.C. (2003). Review paper: Health monitoring of civil infrastructure. Struct. Health Monit., 2(3), 257–267
  9. Chen C.W. & Zebker H.A. (2001). Two-dimensional phase unwrapping with use of statistical models for cost functions in nonlinear optimization. J. Opt. Soc. Am. A-Opt. Image Scie. Vis., 18(2), 338–351
  10. D’Amico, F., Gagliardi, V., Bianchini Ciampoli, L., & Tosti, F. (2020). Integration of InSAR and GPR techniques for monitoring transition areas in railway bridges. NDT E Int., 115, 102291
  11. Espiritu, K.W., Reyes, C.J., Benitez, T.M., Tokita, R.C., Galvez, L.J., & Ramirez, R. (2022). Sentinel-1 interferometric synthetic aperture radar (InSAR) reveals continued ground deformation in and around Metro Manila, Philippines, associated with groundwater exploration. Nat. Hazards, 114, 3139–3161
  12. Ferretti, A., Fumagalli, A., Novali, F., Prati, C., Rocca, F., & Rucci, A. (2011). A new algorithm for processing interferometric data-stacks: SqueeSAR. IEEE Trans. Geosci. Remote Sensing, 49(9), 3460–3470
  13. Ferretti, A., Prati, C., & Rocca, F. (2001). Permanent scatterers in SAR interferometry. IEEE Trans. Geosci. Remote Sensing, 39(1), 8–20
  14. Foumelis, M., Delgado Blasco, J.M., Desnos, Y.L., Engdahl, M., Fernández, D., Veci, L., Lu, J., & Wong, C. (2018). ESA SNAP-StaMPS integrated processing for Sentinel-1 persistent scatterer interferometry. In Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), Valencia, Spain, July 22–27, 2018
  15. Gao, M., Gong, H., Chen, B., Zhou, C., Chen, W., Liang, M., Shi, M., & Si, Y. (2016). InSAR time-series investigation of long-term ground displacement at Beijing Capital International Airport, China. Tectonophysics, 691 (Part B), 271–281
  16. Guzman-Acevedo, G.M., Quintana-Rodriguez, J.A., Gaxiola-Camacho, J.R., Vazquez-Becerra, G.E., Torres-Moreno, V., & Monjardin-Quevedo, J.G. (2023). The structural reliability of the Usumacinta Bridge using InSAR time series of semi-static displacements. Infrastructures-Basel, 8, 173
  17. Hooper, A., Bekaert, D., Spaans, K., & Arikan, M. (2012). Recent advances in SAR interferometry time series analysis for measuring crustal deformation. Tectonophysics, 514–517, 1–13
  18. Höser, T. Analysing the capabilities and limitations of InSAR using Sentinel-1 data for landslide detection and monitoring. Master’s Thesis, Department of Geography, University of Bonn, Bonn, Germany, 2018
  19. Kizilirmak, G., & Cakir, Z. (2024). Application of PS-InSAR and diagnostic train measurement techniques for monitoring subsidence in high-speed railway in Konya, Türkiye. Infrastructures-Basel, 9(9), 152
  20. Lagüela, S., Solla, M., Puente, I., & Prego, F.J. (2018). Joint use of GPR, IRT and TLS techniques for the integral damage detection in paving. Constr. Build. Mater., 174, 749–760
  21. Li, B., Li, Y., Jiang, W., Su, Z., & Shen, W. (2020). Conjugate ruptures and seismotectonic implications of the 2019 Mindanao earthquake sequence inferred from Sentinel-1 InSAR data. Int. J. Appl. Earth Obs. Geoinf., 90, 102127
  22. Li, G., Wang, K., Tang, C., & Ye, J. (2024). Non-break modeling and numerical simulation for non-intact rock failure process. Int. J. Rock Mech. Min. Sci., 176, 105725
  23. Mayuga, P.J., Tiongson, S.F., Abao, J.J., Mendoza, J.M., Pernez, G.A., & Ramirez, R. (2022). Landslide area mapping using synthetic aperture radar (SAR) data: The case of the 2018 Naga landslide. In Proceedings of the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, July 17–22, 2022
  24. Napaldet, J.T. (2023). Plant species and ecosystem diversity along national road in mountain sites: The case of Kennon Road in Cordillera Central Range, Philippines. Taiwania, 68(3), 339–349
  25. Necula, N., Niculiţă, M., Fiaschi, S., Genevois, R., Riccardi, P., & Floris, M. (2021). Assessing urban landslide dynamics through multi-temporal InSAR techniques and slope numerical modeling. Remote Sens., 13(19), 3862
  26. Pan, Y., Wu, G., Zhao, Z., & He, L. (2020). Analysis of rock slope stability under rainfall conditions considering the water-induced weakening of rock. Comput. Geotech., 128, 103806
  27. Ramirez, R.A. & Abdullah, R.E.E. (2022). Damaged area mapping and ground displacement estimation using Sentinel-1 synthetic aperture radar (SAR) interferometry: January 12, 2020, Taal Volcano eruption case study, Philippines. Mindanao J. Sci. Technol., 20(2), 115–141
  28. Ramirez, R., Abdullah, R.E., Jang, W., Choi, S.K., & Kwon, T.K. (2023). Satellite-based monitoring of an open-pit mining site using Sentinel-1 advanced radar interferometry: A case study of the December 21, 2020, landslide in Toledo City, Philippines. E3S Web of Conferences, 415, 05020
  29. Ramirez, R.A., Abdullah, R.E.E., & Rubio, C.J.P. (2022). S1-PSInSAR monitoring and hyperbolic modeling of nonlinear ground subsidence in Naga City, Cebu Island in the Philippines. Int. J. GEOMATE, 23(100), 102–109
  30. Ramirez, R.A., Lee, G.J., Choi, S.K., Kwon, T.H., Kim, Y.C., Ryu, H.H., Kim, S., Bae, B., & Hyun, C. (2022). Monitoring of construction-induced urban ground deformations using Sentinel-1 PS-InSAR: The case study of tunneling in Dangjin, Korea. Int. J. Appl. Earth Obs. Geoinf., 108, 102721
  31. Reyes, R., Bauzon, M.D.A., Pasaje, N.A., Alfante, R.M., De Lara, P.M., Ordillano, M., Flores, P.C., Rediang, A., Nota, P.A., Siringan, F., Blanco, A., & Bringas, D. (2022). Quantifying vertical land motion at tide gauge sites using permanent scatterer interferometric synthetic aperture radar and global navigation satellite system solutions. Spat. Inf. Res., 30, 309–319
  32. Rocscience Inc., Slide2 Software. (2020). Rocscience Inc. ( http://rocscience.com)
  33. Saarenketo, T. & Scullion, T. (2000). Road evaluation with ground penetrating radar. J. Appl. Geophys., 43(2–4), 119–138
  34. Sato, H.P., Abe, K., & Ootaki, O. (2003). GPS-measured land subsidence in Ojiya City, Niigata Prefecture, Japan. Eng. Geol., 67(3–4), 379–390
  35. Sevil, J., Gutiérrez, F., Carnicer, C., Carbonel, D., Desir, G., García-Arnay, Á., & Guerrero, J. (2020). Characterizing and monitoring a high-risk sinkhole in an urban area underlain by salt through non-invasive methods: Detailed mapping, high-precision leveling and GPR. Eng. Geol., 272, 105641
  36. Shi, C., Zuo, X., Zhang, J., Zhu, D., Li, Y., & Bu, J. (2024). Accuracy assessment of geometric-distortion identification methods for Sentinel-1 synthetic aperture radar imagery in highland mountainous regions. Sensors, 24(9), 2834
  37. Shi, M., Peng, J., Chen, X., Zheng, Y., Yang, H., Su, Y., Wang, G., & Wang, W. (2021). An improved method for InSAR atmospheric phase correction in mountainous areas. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens., 14, 10509–10519
  38. Sun, D., Deng, W., Yang, T., Li, J., & Zhao, Y. (2023). A case study integrating numerical simulation and InSAR monitoring to analyze bedding-controlled landslide in Nanfen open-pit mine. Sustainability, 15(14), 11158
  39. Tian, C., Tian, H., Li, C., & Chen, F. (2022). Stability evaluation of massive landslides using ensembled analysis of time-series InSAR and numerical simulation along the Yellow River, Northwestern of China. Geofluids, 2022, 6546372
  40. Tiongson, S.F. & Ramirez, R. (2022). Mapping of ground surface deformations and its associated damage using SAR interferometry: A case study of the 2020 Masbate earthquake. E3S Web of Conferences, 347, 03014
  41. Wang, Z., Jia, Y., Li, S., Zhang, R., Xu, B., & Sun, X. (2024). Landslide-hazard-avoiding highway alignment selection in mountainous regions based on SAR images and high-spatial-resolution precipitation datasets: A case study in Southwestern China. Remote Sens., 16(7), 1303
  42. Wang, Y., Dong, J., Zhang, L., Zhang, L., Deng, S., Zhang, G., Liao, M., & Gong, J. (2022). Refined InSAR tropospheric delay correction for wide-area landslide identification and monitoring. Remote Sens. Environ., 275, 113013

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