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Multitemporal monitoring of a coastal landslide through SfM‐derived point cloud comparison
Author(s) -
Esposito Giuseppe,
Salvini Riccardo,
Matano Fabio,
Sacchi Marco,
Danzi Maria,
Somma Renato,
Troise Claudia
Publication year - 2017
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12218
Subject(s) - photogrammetry , landslide , geomatics , change detection , cliff , geology , point cloud , erosion , structure from motion , coastal erosion , remote sensing , geomorphology , orthophoto , physical geography , geography , motion (physics) , engineering , mechanical engineering , paleontology , artificial intelligence , computer science
Monitoring of geomorphic changes affecting sea cliffs poses a difficult challenge from a logistical point of view. Nevertheless, this activity is fundamental for the evaluation of cliff recession rates and the assessment of risk conditions affecting coastal settlements. Innovative geomatics techniques provide a valid contribution to detect cliff topographic modifications induced by erosion or landslide processes. This study presents a photogrammetric approach based on structure from motion (SfM) aimed at monitoring the geomorphic evolution of a coastal landslide that displaced about 40 000 m 3 of material in southern Italy. The landslide was monitored for more than two years, comparing multitemporal 3D point clouds derived from SfM. The results of change detection analysis allowed quantifying the volumes of rocks and unconsolidated sediments mobilised by erosion processes after the main failure, and developing a sediment budget. The study highlighted the high erodibility of collapsed material, as well as the suitability of the adopted techniques for 3D change detection analyses.