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Open AccessArticle

Investigating the Susceptibility to Failure of a Rock Cliff by Integrating Structure-from-Motion Analysis and 3D Geomechanical Modelling

1
IRPI, National Research Council, Section of Bari, 70126 Bari, Italy
2
IRPI, National Research Council, Section of Turin, 10135 Turin, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(23), 3994; https://doi.org/10.3390/rs12233994
Received: 30 October 2020 / Revised: 2 December 2020 / Accepted: 4 December 2020 / Published: 6 December 2020
(This article belongs to the Special Issue Latest Developments in 3D Mapping with Unmanned Aerial Vehicles)
Multi-temporal UAV and digital photo surveys have been acquired between 2017 and 2020 on a coastal cliff in soft rocks in South-Eastern Italy for hazard assessment and the corresponding point clouds have been processed and compared. The multi-temporal survey results provide indications of a progressive deepening process of erosion and detachment of blocks from the mid-height portion of the cliff, with the upper stiffer rock stratum working provisionally as a shelf against the risk of general collapse. Based on the DEM model obtained, a three-dimensional geomechanical finite element model has been created and analyzed in order to investigate the general stability of the cliff and to detect the rock portions which are more susceptible to failure. Concerning the evolving erosion process, active in the cliff, the photogrammetric analyses and the modeling simulations result in agreement and a proneness to both local and general instabilities has been achieved. View Full-Text
Keywords: UAV; photogrammetry; point clouds; image acquisition; photographs matching; TIN surface; structure from motion; 3D modelling; FEM analysis; general/local instability UAV; photogrammetry; point clouds; image acquisition; photographs matching; TIN surface; structure from motion; 3D modelling; FEM analysis; general/local instability
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MDPI and ACS Style

Perrotti, M.; Godone, D.; Allasia, P.; Baldo, M.; Fazio, N.L.; Lollino, P. Investigating the Susceptibility to Failure of a Rock Cliff by Integrating Structure-from-Motion Analysis and 3D Geomechanical Modelling. Remote Sens. 2020, 12, 3994. https://doi.org/10.3390/rs12233994

AMA Style

Perrotti M, Godone D, Allasia P, Baldo M, Fazio NL, Lollino P. Investigating the Susceptibility to Failure of a Rock Cliff by Integrating Structure-from-Motion Analysis and 3D Geomechanical Modelling. Remote Sensing. 2020; 12(23):3994. https://doi.org/10.3390/rs12233994

Chicago/Turabian Style

Perrotti, Michele; Godone, Danilo; Allasia, Paolo; Baldo, Marco; Fazio, Nunzio L.; Lollino, Piernicola. 2020. "Investigating the Susceptibility to Failure of a Rock Cliff by Integrating Structure-from-Motion Analysis and 3D Geomechanical Modelling" Remote Sens. 12, no. 23: 3994. https://doi.org/10.3390/rs12233994

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