Quantitative Characterization of Coastal Cliff Retreat and Landslide Processes at Portonovo–Trave Cliffs (Conero, Ancona, Italy) Using Multi-Source Remote Sensing Data

Fullin, Nicola; Duo, Enrico; Fabbri, Stefano; Francioni, Mirko; Ghirotti, Monica; Ciavola, Paolo

doi:10.3390/rs15174120

Cited by 3 publications

(1 citation statement)

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“…These challenges may prevent one from systematically collecting geological and discontinuity data for rock mass characterization [6]. The significant advancement in remote sensing methodologies and approaches, particularly over the last 20 years, allowed for most of these challenges to be tackled, providing a means to collect geological data in otherwise challenging or inaccessible areas [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Laboratory for the Integration of Geomatic and Geomechanical Data: The Rock Pinnacle “Campanile di Val Montanaia”

Tavasci,

Lambertini,

Donati

et al. 2023

Remote Sensing

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This work describes a procedure for building a high-quality 3D model of a rocky pinnacle in the Dolomites, Italy, using Structure from Motion (SfM) techniques. The pinnacle, known as “Campanile di Val Montanaia”, is challenging to survey due to its high elevation and sub-vertical cliffs. The construction of the 3D model is the first step in a multi-disciplinary approach to characterize the rock mass and understand its behavior and evolution. This paper discusses the surveying operations, which involved climbing the pinnacle to collect Ground Control Points (GCPs) and using a UAV to capture aerial imagery. The photographs were processed using SfM software to generate point clouds, mesh, and texture, which were then used for rock mass discontinuity mapping. The study compares models of different qualities and point densities to determine the optimal trade-off between processing time and accuracy in terms of discontinuity mapping. The results show that higher quality models allow for more detailed mapping of discontinuities, with some drawbacks due to noise in the case of the densest solution (e.g., increase in frequency of outliers across the point cloud). These pros and cons are also discussed in relation to the computational cost necessary to build the models. The study also examines the limitations and challenges of performing discontinuity mapping in the different models, including subjectivity in interpretation. A further element of interest is the publication of a high-quality 3D georeferenced model of the “Campanile di Val Montanaia” to be used for several potential further applications, such as stability analyses and numerical modeling.

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