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dc.date.accessioned2022-05-19T06:40:50Z-
dc.date.available2022-05-19T06:40:50Z-
dc.date.issued2020-
dc.identifier.citationBellia, A. F. (2020). Effectiveness of drone imagery in mapping shallow-water benthic assemblages (Bachelor’s dissertation).en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/95940-
dc.descriptionB.SC.(HONS)BIOLOGYen_GB
dc.description.abstractThe present study aimed to assess the efficiency of using drones to map shallow-water benthic assemblages, compared with that of manual survey techniques. It also aimed to develop an ‘optimum protocol’ to characterize shallow-water benthic assemblages. The efficiency of mapping was assessed in terms of its comparative accuracy and cost-effectiveness. The study was carried out in six coastal sites in Malta, characterised by varying benthic complexity and fragmentation. The bays were imaged using a DJI Mavic 2 Pro drone, at altitudes between 100-300m above mean sea level. Aerial images obtained were subsequently processed using k-means clustering to distinguish between different benthic assemblages, based on their colour profiles. The results of the automated drone surveys were then compared with those of the direct manual surveys to assess their relative efficiencies in terms of area mapped per unit effort. Results obtained indicated that using a drone to map benthic cover greatly reduced the time and manpower requirements relative to direct surveys. This method also generated biotope maps with greater coverage, accuracy, and efficiency relative to manual methods. Nonetheless, while a general procedure was followed, an optimum protocol could not be produced, as each study site was treated according to its own specific characteristics.en_GB
dc.language.isoenen_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectBenthos -- Habitat -- Mapsen_GB
dc.subjectDrone aircraft -- Maltaen_GB
dc.subjectAlgae -- Maltaen_GB
dc.subjectPosidonia -- Maltaen_GB
dc.titleEffectiveness of drone imagery in mapping shallow-water benthic assemblagesen_GB
dc.typebachelorThesisen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.publisher.institutionUniversity of Maltaen_GB
dc.publisher.departmentFaculty of Science. Department of Biologyen_GB
dc.description.reviewedN/Aen_GB
dc.contributor.creatorBellia, Andrea Francesca (2020)-
Appears in Collections:Dissertations - FacSci - 2020
Dissertations - FacSciBio - 2020

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