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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:
Furey, Thomas ;
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. Scope Keywords: Marine/Coastal, Data not evaluated, Elevation, Esri Shapefile, Geology, Metadata conformant, 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, 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
Data type: GIS maps
Release date: 2024-03-15
Metadatarecord created: 2024-03-14
Information last updated: 2024-04-05
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