Morphological map of the Irish continental shelf created using Deep Learning
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.
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Citation proposal
Riccardo Arosio (University College Cork) - Brandon Hobley (University of East Anglia) - Andrew Wheeler (University College Cork) - Fabio Sacchetti (Marine Institute Ireland) - Luis Conti (Federal Institute of Education, Science and Technology of Rio Grande do Sul) - Thomas Furey (Marine Institute Ireland) - Aaron Lim (University College Cork) (2024) . Morphological map of the Irish continental shelf created using Deep Learning. https://services.mspdata.eu:/geonetwork/srv/api/records/f043785c-23d1-4845-b9c8-23d1703ef2c2 |
Simple
- Date ( Publication )
- 2024-03-15
- Credit
- University College Cork (Ireland)
- Credit
- University of East Anglia (England)
- Credit
- Marine Institute (Ireland)
- Credit
- Federal Institute of Education, Science and Technology of Rio Grande do Sul (Brazil)
Point of contact
- GEMET - INSPIRE themes, version 1.0 ( Theme )
-
- Geology
- Spatial scope
-
- National
- INSPIRE priority dataset
-
- Marine regions and units (Marine Strategy Framework Directive)
- Mission Atlantic - BODC Parameters ( Theme )
-
- /Marine geology
- Mission Atlantic - Data type (DMP) ( Theme )
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- Modelling data , Spatial data products
- Mission Atlantic - Case Studies ( Theme )
-
- Celtic Seas
- Mission Atlantic - Resources ( Theme )
-
- Data , Article , MISSION ATLANTIC Results
- Mission Atlantic - Work Package ( Theme )
-
- WP4 Benthic Mapping
- Use constraints
- Other restrictions
- Other constraints
- Attribution (CC BY)
- Access constraints
- Other restrictions
- Spatial representation type
- Vector
- Denominator
- 1000
- Metadata language
- No linguistic content No linguistic content
- Topic category
-
- Elevation
N
S
E
W
))
- Distribution format
-
- Esri Shapefile ()
- OnLine resource
- INSPIRE Download Service (WFS)
- OnLine resource
- INSPIRE WMS
- OnLine resource
- Download original data
- OnLine resource
- IMIS catalogue
- OnLine resource
- GeoNode
- OnLine resource
- Scientific publication
- Hierarchy level
- Dataset
Domain consistency
Conformance result
- Date ( Publication )
- 2017-03-02
- Explanation
- This metadata set is conformant with the Technical Guidance for the implementation of INSPIRE dataset and service metadata based on ISO/TS 19139:2007
- Pass
- true
Conformance result
- Date ( Publication )
- 2010-12-08
- Explanation
- Conformance of this data set with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services was not evaluated
- Statement
- The input bathymetry layers for this work were obtained from the multibeam echosounder (MBES) bathymetry (accessible on INFOMAR hydrographic dataset - https://www.infomar.ie ). More details on https://doi.org/10.3389/fmars.2023.1228867.
Metadata
- File identifier
- f043785c-23d1-4845-b9c8-23d1703ef2c2 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2024-07-31T08:52:35.229Z