{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:50:01Z","timestamp":1780055401741,"version":"3.54.0"},"reference-count":47,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2019,3,7]],"date-time":"2019-03-07T00:00:00Z","timestamp":1551916800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-17-CE01-0014"],"award-info":[{"award-number":["ANR-17-CE01-0014"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-14-ASTR-0004"],"award-info":[{"award-number":["ANR-14-ASTR-0004"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMSE"],"abstract":"<jats:p>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 km2 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) set-up, 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 \u22120.03 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.<\/jats:p>","DOI":"10.3390\/jmse7030063","type":"journal-article","created":{"date-parts":[[2019,3,8]],"date-time":"2019-03-08T04:58:35Z","timestamp":1552021115000},"page":"63","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":147,"title":["Low-Cost UAV for High-Resolution and Large-Scale Coastal Dune Change Monitoring Using Photogrammetry"],"prefix":"10.3390","volume":"7","author":[{"given":"Quentin","family":"Laporte-Fauret","sequence":"first","affiliation":[{"name":"CNRS, Universit\u00e9 de Bordeaux, UMR 5805 EPOC, 33615 Pessac CEDEX, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4023-0161","authenticated-orcid":false,"given":"Vincent","family":"Marieu","sequence":"additional","affiliation":[{"name":"CNRS, Universit\u00e9 de Bordeaux, UMR 5805 EPOC, 33615 Pessac CEDEX, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruno","family":"Castelle","sequence":"additional","affiliation":[{"name":"CNRS, Universit\u00e9 de Bordeaux, UMR 5805 EPOC, 33615 Pessac CEDEX, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard","family":"Michalet","sequence":"additional","affiliation":[{"name":"CNRS, Universit\u00e9 de Bordeaux, UMR 5805 EPOC, 33615 Pessac CEDEX, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"St\u00e9phane","family":"Bujan","sequence":"additional","affiliation":[{"name":"CNRS, Universit\u00e9 de Bordeaux, UMR 5805 EPOC, 33615 Pessac CEDEX, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David","family":"Rosebery","sequence":"additional","affiliation":[{"name":"Office National des For\u00eats, 75570 CEDEX 12 Paris, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.geomorph.2008.05.047","article-title":"The potential of 3D gully monitoring with GIS using high-resolution aerial photography and a digital photogrammetry system","volume":"111","author":"Marzolff","year":"2009","journal-title":"Geomorphology"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"6880","DOI":"10.3390\/rs5126880","article-title":"Using unmanned aerial vehicles (UAV) for high-resolution reconstruction of topography: The structure from motion approach on coastal environments","volume":"5","author":"Mancini","year":"2013","journal-title":"Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.isprsjprs.2015.02.009","article-title":"UAV photogrammetry for topographic monitoring of coastal areas","volume":"104","author":"Henriques","year":"2015","journal-title":"ISPRS J. 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