Mapping submerged vegetation and water quality using multi- and hyperspectral imagery of Oristano Gulf (Italy) Monica Pinardi CNR-IREA, Institute of Electromagnetic Sensing of the Environment, Italy Salvatore Mangano CNR-IREA, Institute of Electromagnetic Sensing of the Environment, Italy Andrea Pellegrino CNR-IREA, Institute of Electromagnetic Sensing of the Environment, Italy Alice Fabbretto CNR-IREA, Institute of Electromagnetic Sensing of the Environment, Italy Claudia Giardino CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy Andrea Taramelli Institute for Advanced Study of Pavia, Italy Andrea Satta CNR – IAS Institute for the study of Anthropic impact and Sustainability in marine environment, Italy Mariano Bresciani CNR-IREA, Institute for Electromagnetic Sensing of the Environment, Italy This is a section of Tenth InternationaSymposium Monitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques(DOI: 10.36253/979-12-215-0556-6) by Laura Bonora, Marcantonio Catelani, Matteo De Vincenzi, Giorgio Matteucci Firenze University Press Florence 2024 https://doi.org/10.36253/979-12-215-0556-6.24

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Shallow water habitats are among the most important and productive ecosystems on the planet. These ecosystems, which include seagrass meadows, are important biodiversity hotspots. The spread of seagrass can be managed by looking at the seabed cover and how it changes over the year. To this end, satellite-derived products of substrate and vegetation cover at different spatio-temporal resolutions can help water managers and users to better understand and manage seagrass beds in shallow waters (Kutser et al., 2022). The main objective of this study is to test and apply algorithms to obtain bottom substrate, canopy cover together with water quality maps (e.g. SPM, Chl-a) from hyperspectral (e.g. PRISMA) and multispectral (e.g. Sentinel-2) satellite data. The study is developed in the framework of the PRISMA SCIENZA OVERSEE project and focuses on the coastal areas of the Gulf of Oristano (Sardinia, Italy). Changes in substrate cover have been tracked for the period May-October 2022. Spatio-temporal variability of Posidonia oceanica has been studied and discussed in relation to environmental features and human activities.

 Seagrass Remote Sensing PRISMA Water Quality

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References Boudouresque C.F., Pergent G., Pergent-Martini C., Ruitton S., Thibaut T., Verlaque M. (2016) - The necromass of the Posidonia oceanica seagrass meadow: fate, role, ecosystem services and vulnerability. Hydrobiologia, 781, 25-42. 10.1007/s10750-015-2333-y Reynolds, P.L., Duffy, E., Knowlton, N. (2018). Seagrass and seagrass beds. Ocean Portal 16, no. 3 (2018): 10. http://ocean.si.edu/seagrass-and-seagrass-beds Appolloni L., Sandulli R., Vetrano G., Russo G.F. (2018) - Assessing the effects of habitat patches ensuring propagule supply and different costs inclusion in marine spatial planning through multivariate analyses. J. Environ. Manage. 214: 45-55. 10.1016/j.jenvman.2018.02.091 Appolloni L., Sandulli R., Bianchi C.N., Russo, G.F. (2018) - Spatial analyses of an integrated landscape-seascape territorial system: The case of the overcrowded Gulf of Naples, Southern Italy. Journal of Environmental Accounting and Management, 6(4), 365-380. 10.5890/JEAM.2018.12.009 Borfecchia F., Consalvi N., Micheli C., Carli F.M., Cognetti De Martiis, S., Gnisci, V., ... & Marcelli, M. (2019) - Landsat 8 OLI satellite data for mapping of the Posidonia oceanica and benthic habitats of coastal ecosystems. Int. J. Remote Sens. 40: 1548-1575 10.20944/preprints202110.0248.v1 Kutser T., Hedley J., Giardino C., Roelfsema C., Brando V.E. (2020) - Remote sensing of shallow waters –A 50 year retrospective and future directions. Remote Sensing of Environment, 240, 111619. 10.1016/j.rse.2019.111619 Dekker A.G., Phinn S.R., Anstee J., Bissett P., Brando V.E., Casey B., Fearns P., Hedley J., Klonowski W., Lee Z.P., Lynch M., Lyons M., Mobley C., Roelfsema C. (2011) - Intercomparison of shallow water bathymetry, hydro-optics, and benthos mapping techniques in Australian and Caribbean coastal environments. Limnol. Oceanogr-Meth. 9, 396-42. 10.4319/lom.2011.9.396 Appolloni L., Buonocore E., Russo G.F., Franzese P.P. (2020) - The use of remote sensing for monitoring Posidonia oceanica and Marine Protected Areas: A systemic review. Ecological Questions, 31(2), 7-17. 10.12775/EQ.2020.009 Giardino C., Candiani G., Bresciani M., Lee Z., Gagliano S., Pepe M. (2012) -BOMBER: A tool for estimating water quality and bottom properties from remote sensing images. Computers & Geosciences 45, 313-318. 10.1016/j.cageo.2011.11.022