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dc.contributor.authorMangano, Salvatore
dc.contributor.authorPinardi, Monica
dc.contributor.authorPellegrino, Andrea
dc.contributor.authorFABBRETTO, ALICE
dc.contributor.authorGiardino, Claudia
dc.contributor.authorTARAMELLI, Andrea
dc.contributor.authorSATTA, ANDREA
dc.contributor.authorBresciani, Mariano
dc.date.accessioned2025-11-22T12:31:42Z
dc.date.available2025-11-22T12:31:42Z
dc.date.issued2024
dc.date.submitted2025-08-01T15:57:16Z
dc.identifierONIX_20250801T173835_9791221505566_269
dc.identifier2975-0288
dc.identifierhttps://library.oapen.org/handle/20.500.12657/104819
dc.identifier.urihttps://doab-dev.siscern.org/handle/20.500.12854/203665
dc.description.abstractShallow 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.
dc.languageEnglish
dc.relation.ispartofseriesMonitoring of Mediterranean Coastal Areas: Problems and Measurement Techniques
dc.rightsopen access
dc.subject.otherSeagrass
dc.subject.otherRemote Sensing
dc.subject.otherPRISMA
dc.subject.otherWater Quality
dc.titleChapter Mapping submerged vegetation and water quality using multi- and hyperspectral imagery of Oristano Gulf (Italy)
dc.typechapter
oapen.identifier.doi10.36253/979-12-215-0556-6.24
oapen.relation.isPublishedBy2ec4474d-93b1-4cfa-b313-9c6019b51b1a
oapen.relation.isbn9791221505566
oapen.pages8
oapen.place.publicationFlorence
dc.seriesnumber2


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