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        <title type="main" level="a">Uncrewed aerial vehicles: an investigation of the parameter influences for coastal monitoring</title>
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          <persName n="1" ref="https://orcid.org/0000-0002-0913-3825" type="ORCID">
            <forename>Marco</forename>
            <surname>Luppichini</surname>
            <placeName type="affiliation">University of Pisa, Italy</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0002-9799-7059" type="ORCID">
            <forename>Marco</forename>
            <surname>Paterni</surname>
            <placeName type="affiliation">Clinical Physiology Institute CNR, Italy</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0003-1482-2630" type="ORCID">
            <forename>Monica</forename>
            <surname>Bini</surname>
            <placeName type="affiliation">University of Pisa, Italy</placeName>
          </persName>
        </author>
        <respStmt>
          <resp>This is a section of <title>Tenth InternationaSymposium Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques</title>(DOI: <idno type="DOI">10.36253/979-12-215-0556-6</idno>) by </resp>
          <name>Laura Bonora, Marcantonio Catelani, Matteo De Vincenzi, Giorgio Matteucci</name>
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        <publisher>Firenze University Press</publisher>
        <pubPlace>Florence</pubPlace>
        <date when="2024">2024</date>
        <idno type="DOI">https://doi.org/10.36253/979-12-215-0556-6.66</idno>
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          <p>Available for academic research purposes</p>
          <p>Open Access</p>
          <p>Copyright Author(s)</p>
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            <p>Content licence CC BY-NC-SA 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>Data and information obtained from low-cost uncrewed aerial vehicles (UAVs), commonly called ‘drones’, can be used to support coastal monitoring on erosion study. The Structure from Motion (SfM) techniques allow to reconstruction of a high-resolution Digital Elevation Model (DEM) useful to assess shoreline e dune mass, starting from the images acquired by UAVs. Flight procedures, acquisition methods and ground references are important parameters to be carefully managed to achieve the necessary accuracy.  However, the size of the areas to be monitored and the frequency of measurements require demanding resources that can limit studies when they are insufficient. This work aims to investigate the best flight and processing settings for applying SfM for coastal monitoring. The parameters investigated are for example the drone type, flight height, ground control points (GCPs) position and post-processing parameters. The results of these evaluations and the proposed procedure are shown.</p>
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        <keywords>
          <list>
            <item>Coastal Monitoring</item>
            <item>Drones</item>
            <item>Structure from Motion</item>
          </list>
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      <p>It is available online at https://doi.org/10.36253/979-12-215-0556-6.66<ref target="https://doi.org/10.36253/979-12-215-0556-6.66" /></p>
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