MAPPING OF THE RISK OF COASTAL EROSION FOR TWO CASE STUDIES: PIANOSA ISLAND (TUSCANY) AND PISCINAS (SARDINIA)
Contributo in Atti di convegno
Data di Pubblicazione:
2020
Abstract:
This study focuses on the use of satellite remote sensing to map coastal erosion
vulnerability in two Italian sites: Pianosa Island (Tuscany) and Piscinas (Sardinia). For both
areas we focused on the land/water transitional ecosystem, with the aim of identifying
potential coastal erosion phenomena and to demonstrate the role of benthic habitats in
preserving the value of coastal environments. The method made use of ancillary and multispectral satellite data from 2016 to 2018. For this study, the first 7 bands of the VIS-NIR
region of Sentinel-2 were used, all reprocessed at the spatial resolution of 10 m. The TOA
(Top of Atmosphere) radiance products were atmospherically corrected and processed using
the Sen2Coral add-on-tool and the BOMBER code (Bio-Optical Model-Based tool for
Estimating water quality and bottom properties from Remote sensing images). Maps of
marine substrates and bathymetry were obtained and revealed their influence on the coastal
dynamics. Then, in case of Piscinas, SAR images (COSMO SkyMed and Sentinel-1B) were
added to the analyses. COSMO-SkyMed allowed us to identify the coastline and to obtain
qualitative indicators about the absence/presence of changes in coastal dune system, the most
relevant terrestrial element of the site. Sentinel-1B supported, by adopting an inversion
process scheme, the analysis of the wave state impacting the coast. By merging the satellite
products, the coastal erosion vulnerability maps have been generated based on substrate type
in shallow waters and sand volume variation on land: rocky bottoms and stable meadows of
phanerogams seemed preserving the coast, while the substrate characterized by a loss of
phanerogams and a decrease in sand volumes might be considered more vulnerable. The
results confirm that the coast of Pianosa is not suffering from coastal erosion, while the
vulnerability maps of Piscinas seem to be closely linked to episodic events so that the Piscinas
dune system might be considered safe from coastal erosion processes
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
remote sensing; coastal zone
Elenco autori:
Zamparelli, Virginia; Ghirardi, Nicola; DE CAROLIS, Giacomo; Giardino, Claudia; Fornaro, Gianfranco; Bresciani, Mariano; DE SANTI, Francesca
Link alla scheda completa: