Low-Cost UAV for High-Resolution and Large-Scale Coastal Dune Change Monitoring Using Photogrammetry
| dc.rights.license | open | en_US |
| dc.contributor.author | LAPORTE-FAURET, Quentin | |
| hal.structure.identifier | Environnements et Paléoenvironnements OCéaniques [EPOC] | |
| dc.contributor.author | MARIEU, Vincent | |
| hal.structure.identifier | Environnements et Paléoenvironnements OCéaniques [EPOC] | |
| dc.contributor.author | CASTELLE, Bruno
IDREF: 087596520 | |
| hal.structure.identifier | Environnements et Paléoenvironnements OCéaniques [EPOC] | |
| dc.contributor.author | MICHALET, Richard | |
| hal.structure.identifier | Environnements et Paléoenvironnements OCéaniques [EPOC] | |
| dc.contributor.author | BUJAN, Stephane | |
| hal.structure.identifier | Office National des Forêts [ONF] | |
| dc.contributor.author | ROSEBERY, David | |
| dc.date.accessioned | 2024-02-05T15:13:27Z | |
| dc.date.available | 2024-02-05T15:13:27Z | |
| dc.date.issued | 2019 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/187834 | |
| dc.description.abstractEn | In this paper, coastal dune data are collected at Truc Vert, SW France, using photogrammetry via Unmanned Aerial Vehicles (UAVs). A low-cost GoPro-equipped DJI Phantom 2 quadcopter and a 20 MPix camera-equipped DJI Phantom 4 Pro quadcopter UAVs were used to remotely sense the coastal dune morphology over large spatial scales (4 km alongshore, i.e., approximately 1 km 2 of beach-dune system), within a short time (less than 2 h of flight). The primary objective of this paper is to propose a low-cost and replicable approach which, combined with simple and efficient permanent Ground Control Point (GCP) setup , can be applied to routinely survey upper beach and coastal dune morphological changes at high frequency (after each storm) and high resolution (0.1 m). Results show that a high-resolution and accurate Digital Surface Model (DSM) can be inferred with both UAVs if enough permanent GCPs are implemented. The more recent DJI Phantom 4 gives substantially more accurate DSM with a root-mean-square vertical error and bias of 0.05 m and −0.03 m, respectively, while the DSM inferred from the DJI Phantom 2 still largely meets the standard for coastal monitoring. The automatic flight plan procedure allows replicable surveys to address large-scale morphological evolution at high temporal resolution (e.g., weeks, months), providing unprecedented insight into the coastal dune evolution driven by marine and aeolian processes. The detailed morphological evolution of a 4-km section of beach-dune system is analyzed over a 6-month winter period, showing highly alongshore variable beach and incipient foredune wave-driven erosion, together with wind-driven inland migration of the established foredune by a few meters, and alongshore-variable sand deposition on the grey dune. In a context of widespread erosion, this photogrammetry approach via low-cost flexible and lightweight UAVs is well adapted for coastal research groups and coastal dune management stakeholders, including in developing countries where data are lacking. | |
| dc.description.sponsorship | Marier les objectifs de défense côtière avec ceux de la protection du milieu naturel grâce aux dunes sableuses - ANR-17-CE01-0014 | en_US |
| dc.language.iso | EN | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by/ | |
| dc.subject.en | digital surface model | |
| dc.subject.en | unmanned aerial vehicle | |
| dc.subject.en | photogrammetry | |
| dc.subject.en | coastal dune | |
| dc.subject.en | aeolian erosion | |
| dc.subject.en | marine erosion | |
| dc.subject.en | low-cost survey | |
| dc.title.en | Low-Cost UAV for High-Resolution and Large-Scale Coastal Dune Change Monitoring Using Photogrammetry | |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.3390/jmse7030063 | en_US |
| dc.subject.hal | Planète et Univers [physics]/Sciences de la Terre/Géomorphologie | en_US |
| bordeaux.journal | Journal of Marine Science and Engineering | en_US |
| bordeaux.volume | 7 | en_US |
| bordeaux.hal.laboratories | EPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | CNRS | en_US |
| bordeaux.team | METHYS | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| bordeaux.import.source | hal | |
| hal.identifier | hal-02385628 | |
| hal.version | 1 | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | false | |
| workflow.import.source | hal | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal%20of%20Marine%20Science%20and%20Engineering&rft.date=2019&rft.volume=7&rft.au=LAPORTE-FAURET,%20Quentin&MARIEU,%20Vincent&CASTELLE,%20Bruno&MICHALET,%20Richard&BUJAN,%20Stephane&rft.genre=article |
