An integrated remote sensing-GIS approach for the analysis of an open pit in the Carrara marble district, Italy: Slope stability assessment through kinematic and numerical methods

Francioni, Mirko; Salvini, Riccardo; Stead, Doug; Giovannini, R.; Riccucci, Silvia; Vanneschi, Claudio; Gullì, Domenico

doi:10.1016/j.compgeo.2015.02.009

Cited by 79 publications

(58 citation statements)

References 43 publications

(8 reference statements)

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“…Having a tool that automatically depicts the current main orientation of the terrace could offer new strategies to compare such information with available geological data in order to better understand the failure mechanisms when present; for example, to rule in or out the geological component. In addition, based on the orientation of the slope faces and using the geo-structural data derived from geomatic and engineering geological surveys, it could be possible to perform further analyses on slope stability (Francioni et al, 2015). Finally, by analysing the geomorphological features of terraces in different orientations, anthropogenic or natural activities that damaged the original terraces, such as landfilling, land-sliding and crumbling, could be easily identified.…”

Section: Future Challengesmentioning

confidence: 99%

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Open-pit mining geomorphic feature characterisation

Chen

Chang

et al. 2015

International Journal of Applied Earth Observation and Geoinfor

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Section: Future Challengesmentioning

confidence: 99%

“…Francioni et al, 2015). Currently, geologists and mining engineers use simplified representations of slope geometry to assess mineral resources, mining reserves, and final pit layouts (Grenon and Laflamme, 2011).…”

Section: Introductionmentioning

confidence: 99%

Open-pit mining geomorphic feature characterisation

Chen

Chang

et al. 2015

International Journal of Applied Earth Observation and Geoinfor

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“…Abellán et al, 2009;Schürch et al, 2011;Haas et al, 2012;d'Oleire-Oltmanns et al, 2012;Ouédraogo et al, 2014;Peter et al, 2014;Prosdocimi et al, 2015), as for the measurement of fluvial erosion or gullying on slopes of the Mediterranean region (Haas et al, 2011;d'Oleire-Oltmanns et al, 2012;Peter et al, 2014;2014) or on mining sites (cf. Hancock et al, 2008Hancock et al, , 2015Chen et al, 2015;Francioni et al, 2015). Beside these works, Tarolli (2014) gives a very detailed review of the applicability of the methods for the understanding of earth surface processes.…”

Section: Introductionmentioning

confidence: 99%

Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV

Haas

Hilger

Neugirg

et al. 2016

Nat. Hazards Earth Syst. Sci.

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Abstract. This study focuses on the quantification and analysis of geomorphic processes on the barely vegetated slopes of a recultivated iron ore mine on the Italian island of Elba using photographs from terrestrial laser scanning (TLS) and digital photogrammetry by an unmanned aerial vehicle (UAV) over a period of 5 1/2 years. Beside this, the study tried to work out the potential and the limitations of both methods to detect surface changes by geomorphic process dynamics within a natural environment. Both UAV and TLS show the pattern of the erosion and accumulation processes on the investigated slope quite well, but the calculated amounts differ clearly between the methods. The reasons for these differences could be found in the different accuracies (variable level of detections) of the methods and the different viewing geometries. Both effects have an impact on the detectable process dynamics over different timescales on the slope and their calculated amounts, which in both cases can lead to an underestimation of erosion and accumulation by fluvial processes.

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“…To overcome these limitations, recent advances in non-contact survey techniques are becoming increasingly used; digital photography for mapping traces [5][6][7][8][9][10][11][12] and detecting failure [13][14][15], digital photogrammetry, or laser scanner for surveying discontinuity planes [16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Geostructural and Geomechanical Study of the Piastrone Quarry (Seravezza, Italy) Supported by Photogrammetry to Assess Failure Mode

et al. 2020

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The use of non-contact-techniques for rock mass characterization has been growing significantly over the last decade. However, their application to stability assessment of ornamental stone has not yet received much attention from researchers. This study utilizes rock mass data both in terms of slope orientations and degree of fracturing obtained from a point cloud, a set of three-dimensional (3D) points representing a rock mass surface, to (1) investigate the influence of geostructures at different scales and (2) assess quarry stability by determining areas susceptible to different failure types. Multi-resolution point clouds are obtained through several photogrammetric survey techniques to identify important structural elements of the site. By integrating orientation data of discontinuity planes, obtained with a traditional survey, and of traces, outlined on point clouds, several joint sets were identified. Kinematic tests revealed various potential failure modes of the rock slope. Moreover, an analysis of the influence of the discontinuity strength determined by the presence of rock bridges was carried out. The study revealed that the strength of the quarry face is governed by the presence of rock bridges that act to improve the stability condition of the rock fronts.

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An integrated remote sensing-GIS approach for the analysis of an open pit in the Carrara marble district, Italy: Slope stability assessment through kinematic and numerical methods

Cited by 79 publications

References 43 publications

Open-pit mining geomorphic feature characterisation

Open-pit mining geomorphic feature characterisation

Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island of Elba using long-term ground-based lidar and photogrammetric SfM data by a UAV

Geostructural and Geomechanical Study of the Piastrone Quarry (Seravezza, Italy) Supported by Photogrammetry to Assess Failure Mode

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