Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys

Diana Di Luccio, Guido Benassai, Gianluigi Di Paola, Luigi Mucerino, Andrea Buono, Carmen Maria Rosskopf, Ferdinando Nunziata, Maurizio Migliaccio, Angelo Urciuoli and Raffaele Montella
Additional contact information
Diana Di Luccio: Science and Technologies Department, University of Naples “Parthenope”, 80100 Napoli, Italy
Guido Benassai: Engineering Department, University of Naples “Parthenope”, 80100 Napoli, Italy
Gianluigi Di Paola: Biosciences and Territory Department, University of Molise, 86090 Isernia, Italy
Luigi Mucerino: Earth, Environment and Life Sciences Department, University of Genova, 16126 Genova, Italy
Andrea Buono: Engineering Department, University of Naples “Parthenope”, 80100 Napoli, Italy
Carmen Maria Rosskopf: Biosciences and Territory Department, University of Molise, 86090 Isernia, Italy
Ferdinando Nunziata: Engineering Department, University of Naples “Parthenope”, 80100 Napoli, Italy
Maurizio Migliaccio: Engineering Department, University of Naples “Parthenope”, 80100 Napoli, Italy
Angelo Urciuoli: Engineering Department, University of Naples “Parthenope”, 80100 Napoli, Italy
Raffaele Montella: Science and Technologies Department, University of Naples “Parthenope”, 80100 Napoli, Italy

Sustainability, 2019, vol. 11, issue 3, 1-20

Abstract: The objective of the present study is to achieve a better understanding of the possible rotation of embayed beaches using shoreline position data from two beaches on the central Tyrrhenian Sea (Italy) during a 64-year period. With this aim, this study tests the utility of Differential Global Positioning System (DGPS) and GPS RTK (Real Time Kinematic) dual-frequency navigation system for the in situ surveys, low-altitude aerial imagery collected by Unmanned Aerial Vehicle (UAV), and satellite polarimetric Synthetic Aperture Radar (SAR) measurements. The dataset consists of aerial photographs and orthophotos, DGPS, and remote surveys performed by UAV and SAR platform in 2018 along with wave data coming from the Ponza buoy. The results of the field data analysis explained a part of the beach variations in terms of coastline rotation around a virtual pivotal point. This rotation has been correlated with the wave directional shift in the recent period. The results of the comparison between the different techniques gave the possibility to investigate the limitations of remote survey methods for the identification of shoreline rotation.

Keywords: embayed beaches; shoreline variation; DGPS; SAR; UAV; Tyrrhenian coast (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:3:p:725-:d:202033

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