| Publicaties | Instituten | Personen | Datasets | Projecten | Kaarten | ||||
Morphological map of the Irish continental shelf created using Deep Learning
Citatie
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 Beschikbaarheid:
 Deze dataset valt onder een Creative Commons Naamsvermelding 4.0 Internationaal-licentie.Beschrijving
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. meerThis project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 862428 (MISSION ATLANTIC). Scope Kernwoorden: Marien/Kust, Data niet gecontroleerd, Esri Shapefile, Geen beperkingen op publieke toegang, Geologie, Hoogte, Marine regions and units (Marine Strategy Framework Directive), Metadata conform, Nationaal, WGS84/UTM zone 29N (EPSG:32629), ANE, Celtic Sea, Celtic Shelf, Irish Exclusive economic Zone, Irish part of the North Atlantic Ocean Geografische spreiding ANE, Celtic Sea [Marine Regions] Celtic Shelf [Marine Regions] Irish Exclusive economic Zone [Marine Regions] Irish part of the North Atlantic Ocean [Marine Regions] Bijdrage door
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, meer
Financiering H2020
Subsidieovereenkomst ID 862428
Publicatie
Gebaseerd op deze 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, meer
URL's
Data type: Kaarten/Geografische files
Datum van vrijgave: 2024-03-15
Metadatarecord aangemaakt: 2024-03-14
Informatie laatst gewijzigd: 2024-06-05
| ||||
