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        <title type="main" level="a">A multiscale analysis of the morphological setting along the susceptible coastal area of the Agri river (southern Italy)</title>
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          <persName n="1" ref="https://orcid.org/0000-0002-3414-7321" type="ORCID">
            <forename>Angela</forename>
            <surname>Rizzo</surname>
            <placeName type="affiliation">University of Bari, Italy</placeName>
          </persName>
          <persName n="2" ref="https://orcid.org/0000-0003-1077-4862" type="ORCID">
            <forename>Giuseppe</forename>
            <surname>Corrado</surname>
            <placeName type="affiliation">Basilicata University, Italy</placeName>
          </persName>
          <persName n="3" ref="https://orcid.org/0000-0003-4328-1167" type="ORCID">
            <forename>Gianluigi</forename>
            <surname>Di Paola</surname>
            <placeName type="affiliation">ISPRA - Italian Institute for Environmental Protection and Research, Italy</placeName>
          </persName>
          <persName n="4" ref="https://orcid.org/0000-0002-5930-491X" type="ORCID">
            <forename>Antonio</forename>
            <surname>Minervino Amodio</surname>
            <placeName type="affiliation">CNR – Institute of Heritage Science, Italy</placeName>
          </persName>
          <persName n="5" ref="https://orcid.org/0000-0002-3394-3705" type="ORCID">
            <forename>Dario</forename>
            <surname>Gioia</surname>
            <placeName type="affiliation">CNR – Institute of Heritage Science, Italy</placeName>
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          <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/10.36253/979-12-215-0556-6.70</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>Assessment of coastal vulnerability to physical and anthropic processes is a crucial step in coastal risk management, especially in climate change scenarios characterized by sea level rise and increasing human pressure. The application of geomorphological-based indices is a consolidated approach to estimate the degree of vulnerability to erosion processes of low-relief coasts at a regional/wide scale. Such a method is based on the combination of physical variables such as shoreline changes, dune and beach geometry, vegetation, and coastal infrastructures, which are statistically or arbitrarily ranked to extract a vulnerability classification. Recent advances in the availability of UAV platforms with higher performance in terms of flight duration, sensor availability, and mapping resolution provide a unique opportunity for a comparison between high-resolution DEMs and the results that can be obtained from the application of a Coastal Index. In this study, short- and medium-term comparison (i.e. about ten years) of high-resolution DEMs (derived by LiDAR) was performed in one of the sectors of the Ionian coastal belt, providing new insights about the geomorphological evolution of a highly vulnerable sector along a retreating coast. Such a comparison was tested along a sector of the coastal areas of the Basilicata region, southern Italy, that includes the Agri River mouth. The study area is featured by a strong human impact and environmental factors that have promoted in the last years the occurrence of remarkable shoreline retreat and coastal erosion.</p>
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        <keywords>
          <list>
            <item>Coastal erosion</item>
            <item>susceptibility index</item>
            <item>monitoring techniques</item>
            <item>Ionian coast</item>
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      <p>It is available online at https://doi.org/10.36253/979-12-215-0556-6.70<ref target="https://doi.org/10.36253/979-12-215-0556-6.70" /></p>
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