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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Diana Di Luccio & Guido Benassai & Gianluigi Di Paola & Luigi Mucerino & Andrea Buono & Carmen Maria Rosskopf & Ferdinando Nunziata & Maurizio Migliaccio & Angelo Urciuoli & Raffaele Montella, 2019. "Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:725-:d:202033
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    References listed on IDEAS

    as
    1. Gianluigi Di Paola & Pietro Aucelli & Guido Benassai & Germán Rodríguez, 2014. "Coastal vulnerability to wave storms of Sele littoral plain (southern Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1795-1819, April.
    2. Ferdinando Nunziata & Andrea Buono & Maurizio Migliaccio, 2018. "COSMO–SkyMed Synthetic Aperture Radar Data to Observe the Deepwater Horizon Oil Spill," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    3. Diana Di Luccio & Guido Benassai & Gianluigi Di Paola & Carmen Maria Rosskopf & Luigi Mucerino & Raffaele Montella & Pasquale Contestabile, 2018. "Monitoring and Modelling Coastal Vulnerability and Mitigation Proposal for an Archaeological Site (Kaulonia, Southern Italy)," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
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    Cited by:

    1. M. Costa & A. Buono & C. Caputo & A. Carotenuto & D. Cirillo & M. A. Costagliola & G. Di Blasio & M. La Villetta & A. Macaluso & G. Martoriello & N. Massarotti & A. Mauro & M. Migliaccio & V. Mulone &, 2020. "The “INNOVARE” Project: Innovative Plants for Distributed Poly-Generation by Residual Biomass," Energies, MDPI, vol. 13(15), pages 1-30, August.

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