Examining high-resolution survey methods for monitoring cliff erosion at an operational scale
This paper aims to compare models from terrestrial laser scanning (TLS), terrestrial photogrammetry (TP), and unmanned aerial vehicle photogrammetry (UAVP) surveys to evaluate their potential in cliff erosion monitoring. TLS has commonly been used to monitor cliff-face erosion (monitoring since 2010...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2018-07-01
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Series: | GIScience & Remote Sensing |
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Online Access: | http://dx.doi.org/10.1080/15481603.2017.1408931 |
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author | Pauline Letortu Marion Jaud Philippe Grandjean Jérôme Ammann Stéphane Costa Olivier Maquaire Robert Davidson Nicolas Le Dantec Christophe Delacourt |
author_facet | Pauline Letortu Marion Jaud Philippe Grandjean Jérôme Ammann Stéphane Costa Olivier Maquaire Robert Davidson Nicolas Le Dantec Christophe Delacourt |
author_sort | Pauline Letortu |
collection | DOAJ |
description | This paper aims to compare models from terrestrial laser scanning (TLS), terrestrial photogrammetry (TP), and unmanned aerial vehicle photogrammetry (UAVP) surveys to evaluate their potential in cliff erosion monitoring. TLS has commonly been used to monitor cliff-face erosion (monitoring since 2010 in Normandy) because it guarantees results of high precision. Due to some uncertainties and limitations of TLS, TP and UAVP can be seen as alternative methods. First, the texture quality of the photogrammetry models is better than that of TLS which could be useful for analysis and interpretation. Second, a comparison between the TLS model and UAV or TP models shows that the mean error value is mainly from 0.013 to 0.03 m, which meets the precision requirements for monitoring cliff erosion by rock falls and debris falls. However, TP is more sensitive to roughness than UAVP, which increases the data standard deviation. Thus, UAVP appears to be more reliable in our study and provides a larger spatial coverage, enabling a larger cliff-face section to be monitored with a regular resolution. Nevertheless, the method remains dependent on the weather conditions and the number of operators is not reduced. Third, even though UAVP has more advantages than TP, the methods could be interchangeable when no pilot is available, when weather conditions are bad or when high reactivity is needed. |
first_indexed | 2024-03-11T23:09:55Z |
format | Article |
id | doaj.art-f2d9fda28f2044c9a484dfe818e617de |
institution | Directory Open Access Journal |
issn | 1548-1603 1943-7226 |
language | English |
last_indexed | 2024-03-11T23:09:55Z |
publishDate | 2018-07-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | GIScience & Remote Sensing |
spelling | doaj.art-f2d9fda28f2044c9a484dfe818e617de2023-09-21T12:34:14ZengTaylor & Francis GroupGIScience & Remote Sensing1548-16031943-72262018-07-0155445747610.1080/15481603.2017.14089311408931Examining high-resolution survey methods for monitoring cliff erosion at an operational scalePauline Letortu0Marion Jaud1Philippe Grandjean2Jérôme Ammann3Stéphane Costa4Olivier Maquaire5Robert Davidson6Nicolas Le Dantec7Christophe Delacourt8CNRS, UMR LETG, IUEM, Rue Dumont d'UrvilleCNRS, UMR Géosciences Océan, IUEMUMR Sciences de la Terre, 2 rue Raphaël DuboisCNRS, UMR Géosciences Océan, IUEMCNRS, UMR LETG, Esplanade de la PaixCNRS, UMR LETG, Esplanade de la PaixCNRS, UMR LETG, Esplanade de la PaixCNRS, UMR Géosciences Océan, IUEMCNRS, UMR Géosciences Océan, IUEMThis paper aims to compare models from terrestrial laser scanning (TLS), terrestrial photogrammetry (TP), and unmanned aerial vehicle photogrammetry (UAVP) surveys to evaluate their potential in cliff erosion monitoring. TLS has commonly been used to monitor cliff-face erosion (monitoring since 2010 in Normandy) because it guarantees results of high precision. Due to some uncertainties and limitations of TLS, TP and UAVP can be seen as alternative methods. First, the texture quality of the photogrammetry models is better than that of TLS which could be useful for analysis and interpretation. Second, a comparison between the TLS model and UAV or TP models shows that the mean error value is mainly from 0.013 to 0.03 m, which meets the precision requirements for monitoring cliff erosion by rock falls and debris falls. However, TP is more sensitive to roughness than UAVP, which increases the data standard deviation. Thus, UAVP appears to be more reliable in our study and provides a larger spatial coverage, enabling a larger cliff-face section to be monitored with a regular resolution. Nevertheless, the method remains dependent on the weather conditions and the number of operators is not reduced. Third, even though UAVP has more advantages than TP, the methods could be interchangeable when no pilot is available, when weather conditions are bad or when high reactivity is needed.http://dx.doi.org/10.1080/15481603.2017.1408931coastal cliff erosionmonitoringterrestrial laser scanningterrestrial photogrammetryuav photogrammetrynormandy |
spellingShingle | Pauline Letortu Marion Jaud Philippe Grandjean Jérôme Ammann Stéphane Costa Olivier Maquaire Robert Davidson Nicolas Le Dantec Christophe Delacourt Examining high-resolution survey methods for monitoring cliff erosion at an operational scale GIScience & Remote Sensing coastal cliff erosion monitoring terrestrial laser scanning terrestrial photogrammetry uav photogrammetry normandy |
title | Examining high-resolution survey methods for monitoring cliff erosion at an operational scale |
title_full | Examining high-resolution survey methods for monitoring cliff erosion at an operational scale |
title_fullStr | Examining high-resolution survey methods for monitoring cliff erosion at an operational scale |
title_full_unstemmed | Examining high-resolution survey methods for monitoring cliff erosion at an operational scale |
title_short | Examining high-resolution survey methods for monitoring cliff erosion at an operational scale |
title_sort | examining high resolution survey methods for monitoring cliff erosion at an operational scale |
topic | coastal cliff erosion monitoring terrestrial laser scanning terrestrial photogrammetry uav photogrammetry normandy |
url | http://dx.doi.org/10.1080/15481603.2017.1408931 |
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