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        <title type="main" level="a">Advances on coastal erosion assessment from satellite earth observations: exploring the use of Sentinel products along with very high resolution sensors</title>
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          <persName n="1" ref="https://orcid.org/0000-0003-4766-8449" type="ORCID">
            <forename>Paula</forename>
            <surname>Gomes da Silva</surname>
            <placeName type="affiliation">University of Cantabria, Spain</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0001-5272-9643" type="ORCID">
            <forename>Anne-Laure</forename>
            <surname>Beck</surname>
            <placeName type="affiliation">ARGANS, France</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0003-4917-4215" type="ORCID">
            <forename>Jara</forename>
            <surname>Martinez Sanchez</surname>
            <placeName type="affiliation">University of Cantabria, Spain</placeName>
          </persName>
          <persName n="4" ref="https://orcid.org/0000-0002-0126-2710" type="ORCID">
            <forename>Raúl</forename>
            <surname>Medina Santanmaria</surname>
            <placeName type="affiliation">University of Cantabria, Spain</placeName>
          </persName>
          <persName n="5">
            <forename>Martin</forename>
            <surname>Jones</surname>
            <placeName type="affiliation">ARGANS, United Kingdom</placeName>
          </persName>
          <persName n="6" ref="https://orcid.org/0000-0002-5557-287X" type="ORCID">
            <forename>Amine</forename>
            <surname>Taji</surname>
            <placeName type="affiliation">ARGANS, France</placeName>
          </persName>
        </author>
        <respStmt>
          <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/10.36253/978-88-5518-147-1.41</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>This work proposes the use of automatic co-registered satellite images to obtain large, high frequency and highly accurate shorelines time series. High resolution images are used to co-register Landsat and Sentinel-2 images. 90% of the co-registered images presented vertical and horizontal shift lower than 3 m. Satellite derived shorelines presented errors lower than mission’s precision. A discussion is presented on the applicability of those shorelines through an application to Tordera Delta (Spain).</p>
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        <keywords>
          <list>
            <item>Tordera Delta 
Optical imaging satellites
Co-registration
Spatial accuracy</item>
            <item>Shoreline detection</item>
            <item>Coastal Change</item>
          </list>
        </keywords>
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      <p>It is available online at https://doi.org/10.36253/978-88-5518-147-1.41<ref target="https://doi.org/10.36253/978-88-5518-147-1.41" /></p>
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        <listBibl>
          <head>References</head>
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