Application of Shore-Based Video and Unmanned Aerial Vehicles (Drones): Complementary Tools for Beach Studies

dc.contributor.authorJayson-Quashigah, P-N.
dc.contributor.authorAngnuureng, D.B.
dc.contributor.authorAlmar, R.
dc.contributor.authorStieglitz, T.C.
dc.contributor.authorAnthony, E.J.
dc.contributor.authorAheto, D.W.
dc.contributor.authorAddo, K.A.
dc.date.accessioned2020-07-07T09:44:17Z
dc.date.available2020-07-07T09:44:17Z
dc.date.issued2020-01-26
dc.descriptionResearch Articleen_US
dc.description.abstractVideo camera systems have been used over nearly three decades to monitor coastal dynamics. They facilitate a high-frequency analysis of spatiotemporal shoreline mobility. Video camera usage to measure beach intertidal profile evolution has not been standardized globally and the capacity to obtain accurate results requires authentication using various techniques. Applications are mostly site specific due to di erences in installation. The present study examines the accuracy of intertidal topographic data derived from a video camera system compared to data acquired with unmanned aerial vehicle (UAV, or drone) surveys of a reflective beach. Using one year of 15-min video data and one year of monthly UAV observations, the intertidal profile shows a good agreement. Underestimations of intertidal profile elevations by the camera-based method are possibly linked to the camera view angle, rectification and gaps in data. The resolution of the video-derived intertidal topographic profiles confirmed, however, the suitability of the method in providing beach mobility surveys matching those required for a quantitative analysis of nearshore changes. Beach slopes were found to vary between 0.1 and 0.7, with a steep slope in May to July 2018 and a gentle slope in December 2018. Large but short-scale beach variations occurred between August 2018 and October 2018 and corresponded to relatively high wave events. In one year, this dynamic beach lost 7 m. At this rate, and as also observed at other beaches nearby, important coastal facilities and infrastructure will be prone to erosion. The data suggest that a low-cost shore-based camera, particularly when used in a network along the coast, can produce profile data for e ective coastal management in West Africa and elsewhere.en_US
dc.description.sponsorshipNational Geographic Society (grant number, CP1-07T 1-7), TheWorld Academy of Sciences (grant Number 17429– RG/PHYS/AF/AC_IFR3240300132) and the French Embassy in Ghana. The APC was funded by TheWorld Academy of Science (No. 17429– RG/PHYS/AF/AC_IFR3240300132) and the Institute of Research for Development (IRD) France Sud, 911 avenue Agropolis, Montpellier, France.en_US
dc.identifier.citationAngnuureng, D.B.; Jayson-Quashigah, P.-N.; Almar, R.; Stieglitz, T.C.; Anthony, E.J.; Aheto, D.W.; Appeaning Addo, K. Application of Shore-Based Video and Unmanned Aerial Vehicles (Drones): Complementary Tools for Beach Studies. Remote Sens. 2020, 12, 394.en_US
dc.identifier.otherhttps://doi.org/10.3390/rs12030394
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/35462
dc.language.isoenen_US
dc.publisherremote sensingen_US
dc.relation.ispartofseries12;3
dc.subjectintertidal morphologyen_US
dc.subjectshoreline changeen_US
dc.subjectbeach profileen_US
dc.subjectvideo cameraen_US
dc.subjectUAVen_US
dc.subjectcoastal managementen_US
dc.subjectDzitaen_US
dc.titleApplication of Shore-Based Video and Unmanned Aerial Vehicles (Drones): Complementary Tools for Beach Studiesen_US
dc.typeArticleen_US

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