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dc.contributor.authorRobiati, C
dc.contributor.authorEyre, M
dc.contributor.authorVanneschi, C
dc.contributor.authorFrancioni, M
dc.contributor.authorVenn, A
dc.contributor.authorCoggan, JS
dc.date.accessioned2019-08-27T12:52:02Z
dc.date.issued2019-08-22
dc.description.abstractIn 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.citationVol. 8 (9), article 367en_GB
dc.identifier.doi10.3390/ijgi8090367
dc.identifier.urihttp://hdl.handle.net/10871/38463
dc.language.isoenen_GB
dc.publisherMDPIen_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.subjectrockfall hazarden_GB
dc.subjectslope stabilityen_GB
dc.subjectremote sensingen_GB
dc.subjectLiDARen_GB
dc.subjectSfM-MVSen_GB
dc.subjectphotogrammetryen_GB
dc.titleApplication of Remote Sensing Data for Evaluation of Rockfall Potential within a Quarry Slopeen_GB
dc.typeArticleen_GB
dc.date.available2019-08-27T12:52:02Z
dc.identifier.issn2220-9964
exeter.article-number367en_GB
dc.descriptionThis is the final version. Available on open access from MDPI via the DOI in this recorden_GB
dc.identifier.journalISPRS International Journal of Geo-Informationen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-08-19
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-08-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-08-27T11:07:10Z
refterms.versionFCDAM
refterms.dateFOA2019-08-27T12:52:05Z
refterms.panelBen_GB


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© 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.
Except where otherwise noted, this item's licence is described as © 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.