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Multitemporal monitoring of a coastal landslide through SfM-derived point cloud comparison

Academic Article
Publication Date:
2017
abstract:
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 40000m(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.
Iris type:
01.01 Articolo in rivista
Keywords:
Italy; landslide; photogrammetry; point cloud; sediment budget; structure from motion
List of contributors:
Matano, Fabio; Sacchi, Marco
Authors of the University:
MATANO FABIO
SACCHI MARCO
Handle:
https://iris.cnr.it/handle/20.500.14243/348435
Published in:
THE PHOTOGRAMMETRIC RECORD
Journal
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URL

https://onlinelibrary.wiley.com/doi/10.1111/phor.12218
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