The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling
This paper describes the use of a drone in collecting data for mapping discontinuities within a marble quarry. A topographic survey was carried out in order to guarantee high spatial accuracy in the exterior orientation of images. Photos were taken close to the slopes and at different angles, depend...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2017-01-01
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Series: | Geomatics, Natural Hazards & Risk |
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Online Access: | http://dx.doi.org/10.1080/19475705.2016.1199053 |
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author | Riccardo Salvini Giovanni Mastrorocco Marcello Seddaiu Damiano Rossi Claudio Vanneschi |
author_facet | Riccardo Salvini Giovanni Mastrorocco Marcello Seddaiu Damiano Rossi Claudio Vanneschi |
author_sort | Riccardo Salvini |
collection | DOAJ |
description | This paper describes the use of a drone in collecting data for mapping discontinuities within a marble quarry. A topographic survey was carried out in order to guarantee high spatial accuracy in the exterior orientation of images. Photos were taken close to the slopes and at different angles, depending on the orientation of the quarry walls. This approach was used to overcome the problem of shadow areas and to obtain detailed information on any feature desired. Dense three-dimensional (3D) point clouds obtained through image processing were used to rebuild the quarry geometry. Discontinuities were then mapped deterministically in detail. Joint attitude interpretation was not always possible due to the regular shape of the cut walls; for every discontinuity set we therefore also mapped the uncertainty. This, together with additional fracture characteristics, was used to build 3D discrete fracture network models. Preliminary results reveal the advantage of modern photogrammetric systems in producing detailed orthophotos; the latter allow accurate mapping in areas difficult to access (one of the main limitations of traditional techniques). The results highlight the benefits of integrating photogrammetric data with those collected through classical methods: the resulting knowledge of the site is crucially important in instability analyses involving numerical modelling. |
first_indexed | 2024-12-19T07:11:29Z |
format | Article |
id | doaj.art-aa319ad8233140d291eea802a85869cd |
institution | Directory Open Access Journal |
issn | 1947-5705 1947-5713 |
language | English |
last_indexed | 2024-12-19T07:11:29Z |
publishDate | 2017-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Geomatics, Natural Hazards & Risk |
spelling | doaj.art-aa319ad8233140d291eea802a85869cd2022-12-21T20:31:10ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132017-01-0181345210.1080/19475705.2016.11990531199053The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modellingRiccardo Salvini0Giovanni Mastrorocco1Marcello Seddaiu2Damiano Rossi3Claudio Vanneschi4University of SienaUniversity of SienaUniversity of SienaUniversity of SienaUniversity of SienaThis paper describes the use of a drone in collecting data for mapping discontinuities within a marble quarry. A topographic survey was carried out in order to guarantee high spatial accuracy in the exterior orientation of images. Photos were taken close to the slopes and at different angles, depending on the orientation of the quarry walls. This approach was used to overcome the problem of shadow areas and to obtain detailed information on any feature desired. Dense three-dimensional (3D) point clouds obtained through image processing were used to rebuild the quarry geometry. Discontinuities were then mapped deterministically in detail. Joint attitude interpretation was not always possible due to the regular shape of the cut walls; for every discontinuity set we therefore also mapped the uncertainty. This, together with additional fracture characteristics, was used to build 3D discrete fracture network models. Preliminary results reveal the advantage of modern photogrammetric systems in producing detailed orthophotos; the latter allow accurate mapping in areas difficult to access (one of the main limitations of traditional techniques). The results highlight the benefits of integrating photogrammetric data with those collected through classical methods: the resulting knowledge of the site is crucially important in instability analyses involving numerical modelling.http://dx.doi.org/10.1080/19475705.2016.1199053UAV photogrammetryfracture mappingDFN modellingrockfall stability |
spellingShingle | Riccardo Salvini Giovanni Mastrorocco Marcello Seddaiu Damiano Rossi Claudio Vanneschi The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling Geomatics, Natural Hazards & Risk UAV photogrammetry fracture mapping DFN modelling rockfall stability |
title | The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling |
title_full | The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling |
title_fullStr | The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling |
title_full_unstemmed | The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling |
title_short | The use of an unmanned aerial vehicle for fracture mapping within a marble quarry (Carrara, Italy): photogrammetry and discrete fracture network modelling |
title_sort | use of an unmanned aerial vehicle for fracture mapping within a marble quarry carrara italy photogrammetry and discrete fracture network modelling |
topic | UAV photogrammetry fracture mapping DFN modelling rockfall stability |
url | http://dx.doi.org/10.1080/19475705.2016.1199053 |
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