Photogrammetry and laser scanning for analyzing slope stability and rock fall runout along the Domodossola?Iselle railway, the Italian Alps

Salvini, Riccardo; Francioni, Mirko; Riccucci, Silvia; Bonciani, Filippo; Callegari, Ivan

doi:10.1016/j.geomorph.2012.12.020

Cited by 66 publications

(27 citation statements)

References 39 publications

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“…Classical geological surveys and geotechnical analyses on the accessible cliff faces provide useful information about the structural setting but are limited to outcrop observations and are blind with respect to the inner structure [ Frayssines and Hantz , ]. New advances in both ground‐based or airborne remote sensing characterization techniques (tacheometry, photogrammetry, and laser scanning) suffer from the same depth limitations, but can provide a Digital Surface Model (DSM) for fracture analysis even in inaccessible rock exposures [e.g., Sturzenegger and Stead , ; Salvini et al, ]. Particularly, in the last decades, terrestrial remote sensing techniques, including both Terrestrial Laser Scanning (TLS) and Close‐Range Photogrammetry (CRP), were proved to be a useful complement to conventional field mapping and rock mass discontinuity characterization [ Coggan et al, ; Ferrero et al, ; Bistacchi et al, ; De Souza et al, ].…”

Section: Introductionmentioning

confidence: 99%

Characterization of the 3‐D fracture setting of an unstable rock mass: From surface and seismic investigations to numerical modeling

et al. 2017

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The characterization of the fracturing state of a potentially unstable rock cliff is a crucial requirement for stability assessments and mitigation purposes. Classical measurements of fracture location and orientation can however be limited by inaccessible rock exposures. The steep topography and high‐rise morphology of these cliffs, together with the widespread presence of fractures, can additionally condition the success of geophysical prospecting on these sites. In order to mitigate these limitations, an innovative approach combining noncontact geomechanical measurements, active and passive seismic surveys, and 3‐D numerical modeling is proposed in this work to characterize the 3‐D fracture setting of an unstable rock mass, located in NW Italian Alps (Madonna del Sasso, VB). The 3‐D fracture geometry was achieved through a combination of field observations and noncontact geomechanical measurements on oriented pictures of the cliff, resulting from a previous laser‐scanning and photogrammetric survey. The estimation of fracture persistence within the rock mass was obtained from surface active seismic surveys. Ambient seismic noise and earthquakes recordings were used to assess the fracture control on the site response. Processing of both data sets highlighted the resonance properties of the unstable rock volume decoupling from the stable massif. A finite element 3‐D model of the site, including all the retrieved fracture information, enabled both validation and interpretation of the field measurements. The integration of these different methodologies, applied for the first time to a complex 3‐D prone‐to‐fall mass, provided consistent information on the internal fracturing conditions, supplying key parameters for future monitoring purposes and mitigation strategies.

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Section: Introductionmentioning

confidence: 99%

Characterization of the 3‐D fracture setting of an unstable rock mass: From surface and seismic investigations to numerical modeling

et al. 2017

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“…In the last decade, the use of remote sensing techniques in engineering analyses of slopes has increased dramatically. In particular, laser scanning (LS) and digital photogrammetry (DP) techniques have been described by numerous authors [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

A New Fast and Low-Cost Photogrammetry Method for the Engineering Characterization of Rock Slopes

et al. 2019

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Digital photogrammetry (DP) represents one of the most used survey techniques in engineering geology. The availability of new high-resolution digital cameras and photogrammetry software has led to a step-change increase in the quality of engineering and structural geological data that can be collected. In particular, the introduction of the structure from motion methodology has led to a significant increase in the routine uses of photogrammetry in geological and engineering geological practice, making this method of survey easier and more attractive. Using structure from motion methods, the creation of photogrammetric 3D models is now easier and faster, however the use of ground control points to scale/geo-reference the models are still required. This often leads to the necessity of using total stations or Global Positioning System (GPS) for the acquisition of ground control points. Although the integrated use of digital photogrammetry and total station/GPS is now common practice, it is clear that this may not always be practical or economically convenient due to the increase in cost of the survey. To address these issues, this research proposes a new method of utilizing photogrammetry for the creation of georeferenced and scaled 3D models not requiring the use of total stations and GPS. The method is based on the use of an object of known geometry located on the outcrop during the survey. Targets located on such objects are used as ground control points and their coordinates are calculated using a simple geological compass and trigonometric formula or CAD 3D software. We present three different levels of survey using (i) a calibrated digital camera, (ii) a non-calibrated digital camera and (iii) two commercial smartphones. The data obtained using the proposed approach and the three levels of survey methods have been validated against a laser scanning (LS) point cloud. Through this validation we highlight the advantages and limitations of the proposed method, suggesting potential applications in engineering geology.

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“…In geosciences, conventional photogrammetry has long been used for digital elevation model (DEM) generation, but it is only recently that SfM has popularized the use of 3-D point clouds in this field (e.g., Firpo et al, 2011;Salvini et al, 2013;James and Robson, 2014;Lucieer et al, 2014). The review conducted by Eltner et al (2016) shows that the annual number of publications that refer to SfM has really exploded since 2014, particularly in the fields of soil erosion, glaciology and fluvial morphology.…”

Section: Introductionmentioning

confidence: 99%

Brief communication: 3-D reconstruction of a collapsed rock pillar from Web-retrieved images and terrestrial lidar data – the 2005 event of the west face of the Drus (Mont Blanc massif)

Guérin

Abellán

Matasci³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. In June 2005, a series of major rockfall events completely wiped out the Bonatti Pillar located in the legendary Drus west face (Mont Blanc massif, France). Terrestrial lidar scans of the west face were acquired after this event, but no pre-event point cloud is available. Thus, in order to reconstruct the volume and the shape of the collapsed blocks, a 3-D model has been built using photogrammetry (structure-from-motion (SfM) algorithms) based on 30 pictures collected on the Web. All these pictures were taken between September 2003 and May 2005. We then reconstructed the shape and volume of the fallen compartment by comparing the SfM model with terrestrial lidar data acquired in October 2005 and November 2011. The volume is calculated to 292 680 m 3 (±5.6 %). This result is close to the value previously assessed by Ravanel and Deline (2008) for this same rock avalanche (265 000 ± 10 000 m 3 ). The difference between these two estimations can be explained by the rounded shape of the volume determined by photogrammetry, which may lead to a volume overestimation. However it is not excluded that the volume calculated by Ravanel and Deline (2008) is slightly underestimated, the thickness of the blocks having been assessed manually from historical photographs.

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Photogrammetry and laser scanning for analyzing slope stability and rock fall runout along the Domodossola?Iselle railway, the Italian Alps

Cited by 66 publications

References 39 publications

Characterization of the 3‐D fracture setting of an unstable rock mass: From surface and seismic investigations to numerical modeling

Characterization of the 3‐D fracture setting of an unstable rock mass: From surface and seismic investigations to numerical modeling

A New Fast and Low-Cost Photogrammetry Method for the Engineering Characterization of Rock Slopes

Brief communication: 3-D reconstruction of a collapsed rock pillar from Web-retrieved images and terrestrial lidar data – the 2005 event of the west face of the Drus (Mont Blanc massif)

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