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      Monitoring Coastal Vulnerability by Using DEMs Based on UAV Spatial Data

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      ISPRS International Journal of Geo-Information
      MDPI AG

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          Abstract

          The use of Unmanned Aerial Vehicles (UAVs) represents a rather innovative, quick, and low-cost methodological approach offering applications in several fields of investigation. The present study illustrates the developed method using Digital Elevation Models (DEMs) based on UAV-derived data for evaluating short-term morphological-topographic changes of the beach system and related implications for coastal vulnerability assessment. UAV surveys were performed during the summers of 2019 and 2020 along a beach stretch affected by erosion, located along the central Adriatic coast. Acquired high-resolution aerial photos were used to generate large-scale DEMs as well as orthophotos of the beach using the Structure from Motion (SfM) image processing tool. Comparison of the generated 2019 and 2020 DEMs highlighted significant morphological changes and a sediment volume loss of about 780 m3 within a surface area of about 4400 m2. Based on 20 m spaced beach profiles derived from the DEMs, a coastal vulnerability assessment was performed using the CVA approach that highlighted some significant variations in the CVA index between 2019 and 2020. Results evidence that UAV surveys provide high-resolution topographic data, suitable for specific beach monitoring activities and the updating of some parameters that enter in the CVA model contributing to its correct application.

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          Unmanned aerial systems for photogrammetry and remote sensing: A review

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            Modeling the World from Internet Photo Collections

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              ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications

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                Author and article information

                Contributors
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                Journal
                ISPRS International Journal of Geo-Information
                IJGI
                MDPI AG
                2220-9964
                March 2022
                February 22 2022
                : 11
                : 3
                : 155
                Article
                10.3390/ijgi11030155
                ea48e87f-3213-4078-aaea-accdc91d4f7f
                © 2022

                https://creativecommons.org/licenses/by/4.0/

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