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EUSeaMap (2019) Broad-Scale Predictive Habitat Map - Confidence in classification of energy levels

Confidence in the classification of energy level in the EUSeaMap (2019) broad-scale predictive habitat map.



Values are on a range from 1 (Low confidence) to 3 (High confidence).



Energy level is one of the layers of information used to categorise physical habitat types in EUSeaMap; these layers of information are collectively known as 'habitat descriptors'. Confidence in the classification of an energy level at any location is driven by both the confidence in the values of the input variables, and the confidence in the classification based on proximity to, and uncertainty in, the boundary between classes (i.e. areas closer to a boundary between two classes will have lower confidence).



Layers are also available showing confidence in the values of the input variables used to model energy levels (kinetic energy at the seabed and wave exposure).



Detailed information on the modelling process for the 2016 is found in the EMODnet Seabed Habitats technical report and its appendices (Populus et al, 2017, link in Resources). We are working on an updated report for the 2019 version.



Created by the EMODnet Seabed Habitats project consortium.

Simple

Date (Creation)
2019-05-03
Date (Publication)
2019-05-03
Credit

Licensed under CC-BY 4.0 from the European Marine Observation and Data Network (EMODnet) Seabed Habitats initiative (www.emodnet-seabedhabitats.eu), funded by the European Commission.

Status
Obsolete
Point of contact
Organisation name Individual name Electronic mail address Role

EMODnet Seabed Habitats

emodnetseabedhabitats@jncc.gov.uk

Owner
GEMET - INSPIRE themes, version 1.0
  • Habitats and biotopes
Access constraints
Other restrictions
Other constraints
no limitations on public access
Use constraints
Other restrictions
Other constraints

Available under the Creative Commons (CC-BY) License v4.0 https://creativecommons.org/licenses/by/4.0/

gmd:useconstraints
otherRestrictions
Other constraints

Attribution statement to use with the data "Copyright EMODnet Seabed Habitats 2019"

Denominator
250000
Denominator
250000
Language
English
Topic category
  • Biota
  • Environment
  • Oceans
N
S
E
W
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Begin date
1975-01-01
End date
2018-12-31
Reference system identifier
EPSG / WGS 84 (EPSG:4326) / 7.4
Distribution format
Name Version
GeoTIFF
OnLine resource
Protocol Linkage Name

WWW:LINK

https://archimer.ifremer.fr/doc/00636/74782/

EUSeaMap 2019 Techical report and MSFD Look up tables

WWW:DOWNLOAD

https://files.emodnet-seabedhabitats.eu/data/EUSM2019_Energy.zip

EUSeaMap 2019 energy download

Hierarchy level
Dataset

Conformance result

Date (Publication)
Pass

Metadata

File identifier
8cf47865-8903-4ac1-92b6-8c8fd58712dc XML
Metadata language
English
Character set
MD_CharacterSetCode_utf8
Parent identifier
EUSeaMap (2019) Broad-Scale Predictive Habitat Map - Energy class (a habitat descriptor)

e382ad46-d215-4cea-b142-0f5b92e8e588

Hierarchy level
Dataset
Hierarchy level name

a

Hierarchy level name

b

Date stamp
2025-04-28T09:55:22.2363585Z
Metadata standard name

ISO19115

Metadata standard version

2003/Cor.1:2006

Metadata author
Organisation name Individual name Electronic mail address Role

EMODnet Seabed Habitats

emodnetseabedhabitats@jncc.gov.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

Habitats and biotopes


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