Monitoring Coastal Vulnerability by Using DEMs Based on UAV Spatial Data

被引:25
作者
Amodio, Antonio Minervino [1 ]
Di Paola, Gianluigi [2 ]
Rosskopf, Carmen Maria [3 ]
机构
[1] Natl Res Council CNR, Inst Heritage Sci ISPC, I-85050 Tito, Italy
[2] Univ Bologna Alma Mater Studiorum, Dept Biol Geol & Environm Sci BiGeA, Via Zamboni 67, I-40126 Bologna, Italy
[3] Univ Molise, Dept Biosci & Terr, I-86090 Pesche, Italy
关键词
shoreline evolution; beach erosion; DEMs; drone survey; Structure from Motion; coastal vulnerability assessment; erosion risk; central Adriatic coast; Italy; PHOTOGRAMMETRY; EVOLUTION; LIDAR; TOPOGRAPHY; EROSION; RIVERS; BASIN;
D O I
10.3390/ijgi11030155
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 m(3) within a surface area of about 4400 m(2). 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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页数:20
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