This study focuses on the use of remote sensing to generate coastal erosion risk maps for Pianosa Island (Tuscany) and Piscinas dune system (Sardinia). The method made use of both ancillary and satellite data (Sentinel-2), in addition to SAR images (COSMO SkyMed and Sentinel-1B). TOA radiance products were atmospherically corrected and processed using Sen2Coral and BOMBER in order to map different marine substrates and bathymetry. The coastal erosion risk maps have been generated based on these output and the results confirm that the coasts of these sites don’t have coastal erosion problems.
CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy
CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy - ORCID: 0000-0002-7185-8464
Politecnico di Milano, Italy
CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy - ORCID: 0000-0002-1679-607X
CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy - ORCID: 0000-0003-2829-0903
CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy
CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy - ORCID: 0000-0002-0523-9446
CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy - ORCID: 0000-0002-3937-4988
Chapter Title
Mapping of the risk of coastal erosion for two case studies: Pianosa island (Tuscany) and Piscinas (Sardinia)
Authors
Nicola Ghirardi, Mariano Bresciani, Giulia Luciani, Gianfranco Fornaro, Virginia Zamparelli, Francesca De Santi, Giacomo De Carolis, Claudia Giardino
Language
English
DOI
10.36253/978-88-5518-147-1.71
Peer Reviewed
Publication Year
2020
Copyright Information
© 2020 Author(s)
Content License
Metadata License
Book Title
Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”
Book Subtitle
Livorno (Italy) June 2020
Editors
Laura Bonora, Donatella Carboni, Matteo De Vincenzi
Peer Reviewed
Publication Year
2020
Copyright Information
© 2020 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/978-88-5518-147-1
eISBN (pdf)
978-88-5518-147-1
eISBN (xml)
978-88-5518-148-8
Series Title
Proceedings e report
Series ISSN
2704-601X
Series E-ISSN
2704-5846