Bathymetric data resulting from hydrographic surveys for cartographic purposes and/or port management. Surveys carried out in accordance with the IHO S-44 standard.

Broadscale habitat (EUNIS level 3) for the Mounts Bay recommended Marine Conservation Zone (rMCZ).Seabed texture polygons mapped using automatic segmentation and classification of acoustic data (MBES bathymetry and backscatter) and groundtruthing data from PSA analysis and image (stills and video).

The Lagoon data was created from the orthoimagery and GIS analysis. Lagoons connected to the sea were identified from the aerial images provided by the National Land Survey of Finland and were digitized by utilizing the shoreline data from the chart. Selection criteria were e.g. enclosed nature. Unattached lagoons, gloe lakes, were bordered by using the lake data from the topographic database (National Land Survey of Finland) and contour lines. Water areas lower than 2,5 m asl were selected to add to the lagoon data. Lakes above 2,5 m have most probably been separate lagoons for a long time and therefore interpreted as gloe lakes that are not included into the final lagoon data.

The map shows the seabed habitat types and associated benthic communities distribution in the coastal area south of Sines (SW Portugal), which is partly included in the Special Protection Area (PTZPE0015) of the Natural Park of Sudoeste Alentejano e Costa Vicentina. The data were obtained during the new survey crarried out in 2011 within the framework of the MeshAtlantic Project. The survey area is an area of moderate energy under the influence of wave action and tidal currents. The northern near shore area is partially exposed to the outfalls of a thermoelectric powerplant. Physical and biological datasets were combined aiming at matching the habitat classes defined in the EUNIS classification.

Under the MeshAtlantic project (2010-2013) the habitat of an area offshore Portimão (south coast of Portugal) was classified. The biological data was gathered from surveys carried out during 2012. Stratified sampling by depth and bottom substrate was performed using Van Veen grab and beam trawl to estimate fauna densities. Additional and significant data was obtained from image analysis of video records collected during Remote Operated Vehicle (ROV) surveys carried out under the UALG/CCMAR programme. Both these surveys began with a previous acoustic mapping of the seabed by means of Side Scan Sonar and Multi-beam, followed by sediment type classification and ground truthing validation using Van Veen grab sampling.

The objective of this project was to generate seabed habitat maps for locations with full coverage acoustic datasets to as detailed a hierarchical level as possible within the Marine Habitat Classification for Britain and Ireland (version 04.05), also known as MNCR classification, (Connor et al. 2004). The acoustic data were at various stages of processing and interpretation, therefore the mapping of habitats and biotopes in some areas have required a greater amount of work to reach the same level compared to other areas. The constituent polygons within the habitat/biotope maps are labelled to an appropriate level of the Habitat Classification and translated to the corresponding EUNIS code. In order to generate seabed habitat maps for the areas the data associated with each area were required to undergo some preliminary preparation and processing in order to ensure suitability and compatibly with the mapping methodologies employed. The data were then processed using several techniques: a top-down approach was adopted based on the methods developed by MESH and UKSeaMap and used by EUSeaMap, which utilised the updated seabed substrate information provided by BGS. In addition a bottom up approach was taken to utilise the recently acquired point sample data and bathymetry and backscatter data sets, and this process took an object based approach supplemented by supervised classification and categorisation. Three maps for each MPA proposal have been produced (the level of habitat detail which could be mapped was restricted to level 3 or 4 of the EUNIS classification and level 2 or 3 of the MNCR classification) with associated metadata and peripheral supplementary data to aid in future analysis and interpretation. A confidence assessment using the MESH confidence assessment method has been undertaken for each habitat map produced and certainty of classification maps accompany each habitat map also.

The objective of this project was to generate seabed habitat maps for locations with full coverage acoustic datasets to as detailed a hierarchical level as possible within the Marine Habitat Classification for Britain and Ireland (version 04.05), also known as MNCR classification, (Connor et al. 2004). The acoustic data were at various stages of processing and interpretation, therefore the mapping of habitats and biotopes in some areas have required a greater amount of work to reach the same level compared to other areas. The constituent polygons within the habitat/biotope maps are labelled to an appropriate level of the Habitat Classification and translated to the corresponding EUNIS code. In order to generate seabed habitat maps for the areas the data associated with each area were required to undergo some preliminary preparation and processing in order to ensure suitability and compatibly with the mapping methodologies employed. A top-down approach was adopted based on the methods developed by MESH and UKSeaMap and used by EUSeaMap, which utilised the updated seabed substrate information provided by BGS. Three maps for each MPA proposal have been produced (the level of habitat detail which could be mapped was restricted to level 3 or 4 of the EUNIS classification and level 2 or 3 of the MNCR classification) with associated metadata and peripheral supplementary data to aid in future analysis and interpretation. A confidence assessment using the MESH confidence assessment method has been undertaken for each habitat map produced and certainty of classification maps accompany each habitat map also.

The objective of this project was to generate seabed habitat maps for locations with full coverage acoustic datasets to as detailed a hierarchical level as possible within the Marine Habitat Classification for Britain and Ireland (version 04.05), also known as MNCR classification, (Connor et al. 2004). The acoustic data were at various stages of processing and interpretation, therefore the mapping of habitats and biotopes in some areas have required a greater amount of work to reach the same level compared to other areas. The constituent polygons within the habitat/biotope maps are labelled to an appropriate level of the Habitat Classification and translated to the corresponding EUNIS code. In order to generate seabed habitat maps for the areas the data associated with each area were required to undergo some preliminary preparation and processing in order to ensure suitability and compatibly with the mapping methodologies employed. The data were then processed using several techniques: a top-down approach was adopted based on the methods developed by MESH and UKSeaMap and used by EUSeaMap, which utilised the updated seabed substrate information provided by BGS. In addition a bottom up approach was taken to utilise the recently acquired point sample data and bathymetry and backscatter data sets, and this process took an object based approach supplemented by supervised classification and categorisation. Three maps for each MPA proposal have been produced (the level of habitat detail which could be mapped was restricted to level 3 or 4 of the EUNIS classification and level 2 or 3 of the MNCR classification) with associated metadata and peripheral supplementary data to aid in future analysis and interpretation. A confidence assessment using the MESH confidence assessment method has been undertaken for each habitat map produced and certainty of classification maps accompany each habitat map also.

Multibeam echosounder data and seabed sampling data acquired during the INSS and INFOMAR national seabed mapping programmes were the primary sources of data used in the generation of this marine habitat map. The original classes assigned to the data were translated to the EUNIS habitat classification system as part of the MESH Atlantic project.

Classification of Roaringwater Bay into marine habitats. The original classes assigned to the data were translated to the EUNIS habitat classification system as part of the MESH Atlantic project.