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Morphological map of the Irish continental shelf created using Deep Learning Citation Arosio, R.; Hobley, B.; Wheeler, A.; Sacchetti, F.; Conti, L.; Furey, T.; Lim, A.; University College Cork (UCC), Ireland; (2024): Morphological map of the Irish continental shelf created using Deep Learning. https://marineinfo.org/id/dataset/8521 Contact: Arosio, Riccardo Also accessible through: Availability:  This dataset is licensed under a Creative Commons Attribution 4.0 International License.Description Morphological map (10 classes) of the Irish shelf resulting from the modal aggregation (Cell statistics “MAJORITY” in ArcGIS Pro 3.1) of the qualitatively and quantitatively best Fully Convolutional Neural Networks models obtained in the study: Arosio, R., Hobley, B., Wheeler, A. J., Sacchetti, F., Conti, L. A., Furey, T. and A. Lim, 2023. Fully convolutional neural networks applied to large-scale marine morphology mapping. Frontiers in Marine Science, Sec. Ocean Observation, 10, https://doi.org/10.3389/fmars.2023.1228867. moreThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 862428 (MISSION ATLANTIC). Scope Keywords: Marine/Coastal, Data not evaluated, Elevation, Esri Shapefile, Geology, Marine regions and units (Marine Strategy Framework Directive), Metadata conformant, National, No limitations to public access, WGS84/UTM zone 29N (EPSG:32629), ANE, Celtic Sea, Celtic Shelf, Irish Exclusive economic Zone, Irish part of the North Atlantic Ocean Geographical coverage ANE, Celtic Sea [Marine Regions] Celtic Shelf [Marine Regions] Irish Exclusive economic Zone [Marine Regions] Irish part of the North Atlantic Ocean [Marine Regions] Contributors Project MISSION ATLANTIC: Towards the Sustainable Development of the Atlantic Ocean: Mapping and Assessing the present and future status of Atlantic marine ecosystems under the influence of climate change and exploitation, more Publication Based on this dataset Arosio, R. et al. (2023). Fully convolutional neural networks applied to large-scale marine morphology mapping. Front. Mar. Sci. 10: 1228867. https://dx.doi.org/10.3389/fmars.2023.1228867, more URLs Data type: GIS maps Release date: 2024-03-15 Metadatarecord created: 2024-03-14 Information last updated: 2024-06-05 | ||||
