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Geophysical and Remote Sensing Techniques for Large-Volume and Complex Landslide Assessment

Academic Article
Publication Date:
2025
abstract:
Landslides pose significant risks to human life and infrastructure, driven by a complex interplay of geological and hydrological factors. This study investigates the ongoing slope instability affecting the village of Borrano, in Central Italy, where large-scale landslides are triggered or reactivated by extreme rainfall and seismic activity. A multidisciplinary approach was employed, integrating traditional geological surveys, direct investigations, and advanced geophysical techniques—including electrical resistivity tomography (ERT) and seismic refraction tomography (SRT)—to characterize subsurface structures. Additionally, Sentinel-1 interferometric synthetic aperture radar (InSAR) was employed to parametrize the deformation rates induced by the landslide. The results reveal a complex geological framework dominated by the Teramo Flysch, where weak clayey facies and structurally controlled dip-slopes predispose the area to gravitational instability. ERT and SRT identified resistivity and velocity contrasts associated with shallow and depth sliding surfaces. At the same time, satellite-based synthetic aperture radar (SAR) data confirmed persistent slow movements, with vertical displacement rates between −10 and −24 mm/year. These findings underscore the importance of lithological heterogeneity and structural settings in the evolution of landslides. The integrated geophysical and remote sensing approach enhances the understanding of slope dynamics. It can be used to cross-check interpretations, capture displacement trends, characterize the internal structure of unstable slopes, and resolve the limitations of each method. This synergy provides a more comprehensive assessment of complex slope instability, offering valuable insights for hazard mitigation strategies in landslide-prone areas.
Iris type:
1.1 Articolo in rivista
Keywords:
electrical resistivity tomography; geophysics; landslide; remote sensing; seismic refraction tomography
List of contributors:
Ciampi, Paolo; Mangifesta, Massimo; Giannini, Leonardo Maria; Esposito, Carlo; Scalella, Gianni; Burchini, Benedetto; Sciarra, Nicola
Authors of the University:
MANGIFESTA Massimo
SCIARRA Nicola
Handle:
https://ricerca.unich.it/handle/11564/869074
Published in:
REMOTE SENSING
Journal
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