Articles | Volume 24, issue 10
https://doi.org/10.5194/nhess-24-3651-2024
https://doi.org/10.5194/nhess-24-3651-2024
Research article
 | 
25 Oct 2024
Research article |  | 25 Oct 2024

InSAR-informed in situ monitoring for deep-seated landslides: insights from El Forn (Andorra)

Rachael Lau, Carolina Seguí, Tyler Waterman, Nathaniel Chaney, and Manolis Veveakis

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Revised manuscript accepted for NHESS
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Cited articles

Bayer, B., Simoni, A., Schmidt, D., and Bertello, L.: Using advanced InSAR techniques to monitor landslide deformations induced by tunneling in the Northern Apennines, Italy, Eng. Geol., 226, 20–32, https://doi.org/10.1016/J.ENGGEO.2017.03.026, 2017. a
Bekaert, D. P., Karim, M., Linick, J. P., Hua, H., Sangha, S., Lucas, M., Malarout, N., Agram, P. S., Pan, L., Owen, S. E., Lai-Norling, J., Bekaert, D. P., Karim, M., Linick, J. P., Hua, H., Sangha, S., Lucas, M., Malarout, N., Agram, P. S., Pan, L., Owen, S. E., and Lai-Norling, J.: Development of open-access Standardized InSAR Displacement Products by the Advanced Rapid Imaging and Analysis (ARIA) Project for Natural Hazards, AGUFM, 2019, G23A–04, https://ui.adsabs.harvard.edu/abs/2019AGUFM.G23A..04B/abstract (last access: 5 January 2022), 2019. a
Bellotti, F., Bianchi, M., Colombo, D., Ferretti, A., and Tamburini, A.: Advanced InSAR techniques to support landslide monitoring, Lecture Notes in Earth System Sciences, 287–290, https://doi.org/10.1007/978-3-642-32408-6_64, 2014. a
Berardino, P., Fornaro, G., Lanari, R., and Sansosti, E.: A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, IEEE T. Geosci. Remote, 40, 2375–2383, https://doi.org/10.1109/TGRS.2002.803792, 2002. a
Carlà, T., Intrieri, E., Traglia, F. D., Nolesini, T., Gigli, G., and Casagli, N.: Guidelines on the use of inverse velocity method as a tool for setting alarm thresholds and forecasting landslides and structure collapses, Landslides, 14, 517–534, https://doi.org/10.1007/s10346-016-0731-5, 2017. a
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Short summary
This work examines the use of interferometric synthetic-aperture radar (InSAR) alongside in situ borehole measurements to assess the stability of deep-seated landslides for the case study of El Forn (Andorra). Comparing InSAR with borehole data suggests a key trade-off between accuracy and precision for various InSAR resolutions. Spatial interpolation with InSAR informed how many remote observations are necessary to lower error in a remote sensing re-creation of ground motion over the landslide.
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