Digital Elevation Model (DEM) from 1280 to 2120 water depth at 40 meters resolution. Bathymetric surface collected during the oceanographic cruise JAMMEGAIA22 on board of the R/V GAIA BLU by CNR.

For this project, two study areas were selected and both are characterized by the presence of marine litter that has accumulated over time: a lagoon area (Sacca Fisola) and a coastal area, the latter located on an abandoned mussel farm.The lagoon site of Sacca Fisola is situated in an area where waste accumulates in substantial quantities. Consequently, the channel's seabed is marked by a significant presence of waste. Some of these waste items are buried beneath layers of sediment, while many others remain visible on the surface and can be identified using the bathymetric map generated from MultiBeam EchoSounder (MBES) data.

Soft bottom macrozoobenthic communities were characterized in Mussel Farm. In the coastal site, three stations were defined: CS1 (planned cleaning area and discontinued in September 2023), CS2 (control) and CS4 (cleaning area since september 2023). The protocol includes sampling by Van Veen grab (surface area of 0.1 m2, volume of approx. 17 L), taxonomic determination and quantitative analysis of the community matrix.

Data collected in April 2023 by CNR- ISMAR VE within the MAELSTROM project with the aim to map marine litter on the seafloor

MAELSTROM (Smart Technology for Marine Litter Sustainable Removal and Management) is a Horizon 2020 (H2020) project co-funded by the European Commission, bringing together 14 partners, including research centers, recycling companies, marine scientists, and robotics experts, from eight European countries. The project seeks to reduce the environmental impact of marine litter (ML) on coastal ecosystems by identifying accumulation hotspots, intercepting floating river waste, and removing plastic-based debris from the seabed to prevent its breakdown into microplastics (MPs). At the core of MAELSTROM’s innovative solution is an advanced robotic seabed cleaning platform, developed collaboratively by TECNALIA, CNRS-LIRMM, and "Servizi Tecnici." This floating structure serves as a base station for the cleaning robot, deploying it via cables and winches while integrating a sophisticated suite of underwater sensors to detect, identify, and manage marine litter. The platform supports two key tools: a dredge for collecting smaller debris and a gripper for retrieving larger items, such as tires, boat fragments, and fishing nets. Designed to function as an adaptable and sustainable system, this platform exemplifies cutting-edge technology for marine litter removal and management.

Soft bottom macrozoobenthic communities were characterized in Sacca Fisola. In the lagoon site, three stations were defined: LV1 (on the planned cleaning area), LV2 (control) and LV3 (additional, in case more information would have been required). The protocol includes sampling by Van Veen grab (surface area of 0.1 m2, volume of approx. 17 L), taxonomic determination and quantitative analysis of the community matrix.

As part of the European MAELSTROM project, passive acoustic monitoring (PAM) was conducted using a hydrophone deployed before and after the cleaning campaign carried out with a robotic platform at the Mussel Farm site. The primary aim of this acoustic monitoring was to analyze underwater soundscapes to detect the presence of soniferous organisms, with particular attention to fish and potentially invertebrate components.

L'atlante fornisce una base conoscitiva naturalistica dei fondali marino-costieri, dei loro principali popolamenti, fra i quali le praterie di Posidonia oceanica ed il Coralligeno. Il rilevamento dei dati cartografati tramite interpretazione di repertorio aerofotogrammetrico, di mappatura acustica con tecnica side scan sonar e di morfobatimetrica di dettaglio con tecnica multibeam, è integrato da materiale bibliografico scientifico di settore e dalle banche dati di Regione e Arpal. Il riferimento cartografico a terra è la CTR 1:10000. Il livello è un aggiornamento della mappatura allegata alla pubblicazione Atlante degli Habitat Marini della Liguria (Diviacco/Coppo-2006), così come approvato con D.G.R.n.141 del 28/02/2020.

Digital Elevation Model (DEM) from 100 to 200 m water depth with a spatial resolution of 5 m. Bathymetric surface collected during the oceanographic cruise JAMMEGAIA22 on board of the R/V GAIA BLU by CNR.