Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/8495
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dc.contributor.authorAngnuureng, Donatus Bapentire-
dc.contributor.authorJayson-Quashigah, Philip-Neri-
dc.contributor.authorAlmar, Rafael-
dc.contributor.authorStieglitz, Thomas Christian-
dc.contributor.authorAnthony, Edward Amal-
dc.contributor.authorAheto, Denis Worlanyo-
dc.contributor.authorAddo, Kwasi Appeaning-
dc.date.accessioned2022-08-22T12:03:46Z-
dc.date.available2022-08-22T12:03:46Z-
dc.date.issued2020-01-26-
dc.identifier.issn23105496-
dc.identifier.urihttp://hdl.handle.net/123456789/8495-
dc.description19p:, ill.en_US
dc.description.abstractVideo camera systems have een used over nearly three decades to monitor coastal dynamics. They facilitate a high-frequency analysis of spatiotemporal shoreline mobility. Video camera usage to measure each intertidal profile evolution has not een standardized globally and the capacity to obtain accurate results requires authentication using various techniques. Applications are mostly site specific due to differences 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 each. 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 y 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 each mobility surveys matching those required for a quantitative analysis of nearshore changes. Beach slopes were found to vary etween 0.1 and 0.7, with a steep slope in May to uly 2018 and a gentle slope in December 2018. Large ut short-scale each variations occurred etween August 2018 and October 2018 and corresponded to relatively high wave events. In one year, this dynamic each lost 7 m. At this rate, and as also observed at other eaches 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 effective coastal management in West Africa and elsewhere.en_US
dc.language.isoenen_US
dc.publisherUniversity of Cape Coasten_US
dc.subjectIntertidal morphologyen_US
dc.subjectShoreline changeen_US
dc.subjectEach profileen_US
dc.subjectEach 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
Appears in Collections:Department of Fisheries & Aquatic Sciences



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