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        <title type="main" level="a">A Drone’s Eye View: A Preliminary Assessment of the Efficiency of Drones in Mapping Shallow-Water Benthic Assemblages</title>
        <author>
          <persName n="1" ref="https://orcid.org/0000-0001-7426-6141" type="ORCID">
            <forename>Andrea Francesca</forename>
            <surname>Bellia</surname>
            <placeName type="affiliation">University of Malta, Malta</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0001-7837-5927" type="ORCID">
            <forename>Julian</forename>
            <surname>Evans</surname>
            <placeName type="affiliation">University of Malta, Malta</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0002-0360-7065" type="ORCID">
            <forename>Sandro</forename>
            <surname>Lanfranco</surname>
            <placeName type="affiliation">University of Malta, Malta</placeName>
          </persName>
        </author>
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          <resp>This is a section of <title>Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”</title>(DOI: <idno type="DOI">10.36253/978-88-5518-147-1</idno>) by </resp>
          <name>Donatella Carboni, Laura Bonora, Matteo De Vincenzi</name>
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      <publicationStmt>
        <publisher>Firenze University Press</publisher>
        <pubPlace>Firenze</pubPlace>
        <date when="2020">2020</date>
        <idno type="DOI">https://doi.org/10.36253/978-88-5518-147-1.50</idno>
        <availability>
          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
          <licence source="text" target="https://creativecommons.org/licenses/by/4.0/legalcode">
            <p>Content licence CC BY 4.0</p>
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        <p>This is original content, published for academic research purposes</p>
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      <abstract xml:lang="en">
        <p>The study assesses consumer drone efficiency for surveying shallow-water benthic cover. We hypothesised that using a drone would reduce duration, and manpower requirements, while increasing accuracy, relative to manual surveys.  Results obtained during this study clearly indicated that automated drone surveys were faster and more accurate than manual survey methods under most circumstances. This result has important implications for the scientific and economic aspects of the process and would have a multiplicative effect in monitoring programs that require regular surveys.</p>
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        <keywords>
          <list>
            <item>Drones</item>
            <item>Drone survey</item>
            <item>Benthic mapping</item>
            <item>Aerial imagery</item>
            <item>Image analysis</item>
            <item>k-clustering</item>
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      <p>It is available online at https://doi.org/10.36253/978-88-5518-147-1.50<ref target="https://doi.org/10.36253/978-88-5518-147-1.50" /></p>
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          <head>References</head>
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