Application of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slope
dc.contributor.author | Robiati, C | |
dc.contributor.author | Eyre, M | |
dc.contributor.author | Vanneschi, C | |
dc.contributor.author | Francioni, M | |
dc.contributor.author | Venn, A | |
dc.contributor.author | Coggan, JS | |
dc.date.accessioned | 2019-08-27T12:52:02Z | |
dc.date.issued | 2019-08-22 | |
dc.description.abstract | In recent years data acquisition from remote sensing has become readily available to the quarry sector. This study demonstrates how such data may be used to evaluate and back analyse rockfall potential of a legacy slope in a blocky rock mass. Use of data obtained from several aerial LiDAR (Light Detection and Ranging) and photogrammetric campaigns taken over a number of years (2011 to date) provides evidence for potential rockfall evolution from a slope within an active quarry operation in Cornwall, UK. Further investigation, through analysis of point cloud data obtained from terrestrial laser scanning, was undertaken to characterise the orientation of discontinuities present within the rock slope. Aerial and terrestrial LiDAR data were subsequently used for kinematic analysis, production of surface topography models and rockfall trajectory analyses using both 2D and 3D numerical simulations. The results of an Unmanned Aerial Vehicle (UAV)-based 3D photogrammetric analysis enabled the reconstruction of high resolution topography, allowing one to not only determine geometrical properties of the slope surface and geomechanical characterisation but provide data for validation of numerical simulations. The analysis undertaken shows the effectiveness of the existing rockfall barrier, while demonstrating how photogrammetric data can be used to inform back analyses of the underlying failure mechanism and investigate potential runout. | en_GB |
dc.identifier.citation | Vol. 8 (9), article 367 | en_GB |
dc.identifier.doi | 10.3390/ijgi8090367 | |
dc.identifier.uri | http://hdl.handle.net/10871/38463 | |
dc.language.iso | en | en_GB |
dc.publisher | MDPI | en_GB |
dc.rights | © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | rockfall hazard | en_GB |
dc.subject | slope stability | en_GB |
dc.subject | remote sensing | en_GB |
dc.subject | LiDAR | en_GB |
dc.subject | SfM-MVS | en_GB |
dc.subject | photogrammetry | en_GB |
dc.title | Application of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slope | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-08-27T12:52:02Z | |
dc.identifier.issn | 2220-9964 | |
exeter.article-number | 367 | en_GB |
dc.description | This is the final version. Available on open access from MDPI via the DOI in this record | en_GB |
dc.identifier.journal | ISPRS International Journal of Geo-Information | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-08-19 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-08-22 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-08-27T11:07:10Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2019-08-27T12:52:05Z | |
refterms.panel | B | en_GB |
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