Alternate title

GB001336

Date (Publication)

2018-04-28

Date (Revision)

2014-02-25

Date (Creation)

2014-02-25

Citation identifier

EMODnetSeabedHabitats / GB001336

Point of contact

Organisation name	Individual name	Electronic mail address	Role
Defra		open@defra.gsi.gov.uk	Owner
JNCC		habitatmapping@jncc.gov.uk	Custodian

GEMET - INSPIRE themes, version 1.0

• Habitats and biotopes

http://inspire.ec.europa.eu/codelist/ReferenceHabitatTypeSchemeValue

• Eunis

Use limitation

┬® Defra. Data may be re-used under the terms of the Open Government Licence v3.

Use limitation

geossAttribution

Access constraints

Other restrictions

Other constraints

no limitation

Spatial representation type

Vector

Denominator

5000

Language

English

Topic category

• Biota
• Oceans

Begin date

2013-02-10

End date

2013-05-28

Supplemental Information

Dove, D., Cooper, R., Green, S. (2015) South-West Deeps (West) MCZ Post-survey Site Report. Defra contract reference: MB0120, report number: 21, version 7. Accessed via http://randd.defra.gov.uk/Document.aspx?Document=12856_SouthWestDeeps(West)MCZSiteReportv7.pdf [2017-12-11]

Reference system identifier

EPSG / WGS 84 (EPSG:4326) / 7.9

Topology level

Geometry only

Distribution format

Name	Version
ESRI Shapefile	1.0

OnLine resource

Protocol	Linkage	Name
WWW:LINK-1.0-http--link	http://randd.defra.gov.uk/Document.aspx?Document=12856_SouthWestDeeps(West)MCZSiteReportv7.pdf	South-West Deeps (West) MCZ Post-survey Site Report
OGC:WMS	https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_view_maplibrary/wms?	gb001336
OGC:WFS	https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_open_maplibrary/wfs?	gb001336
WWW:LINK-1.0-http--link	https://files.emodnet-seabedhabitats.eu/data/EMODnetSBHsurvey_GB001336.zip	EMODnet Seabed Habitats download

Hierarchy level

Dataset

Statement

A new habitat map for the site was produced by analysing and interpreting the available acoustic data and the ground-truth data collected by the dedicated surveys of South West Deeps West rMCZ. The process is a combination of two approaches, auto-classification (image analysis) and expert interpretation. The routine for auto-classification is flexible and dependent on site-specific data, allowing for application of a bespoke routine to maximise the acoustic data available. ArcGIS was used to perform an initial unsupervised classification on the supplied backscatter image. The single band backscatter mosaic was filtered and smoothed prior to the application of an Iso cluster/maximum likelihood classification routine. For further information, refer to the South-West Deeps (West) rMCZ Post-survey Site Report.

Small "holes" in the dataset resulting from minor gaps in remote sensing have been filled and merged with the surrounding habitat via the use of the "Eliminate" tool in ArcGIS in order to reduce unnecessary data vertex complexity. Holes were filled with the polygon sharing the longest border.

Metadata

File identifier

eb7063d8-2b24-42cc-8180-8c4d0c6e38a5 XML

Metadata language

English

Character set

MD_CharacterSetCode_utf8

Hierarchy level

Dataset

Date stamp

2022-02-02T11:47:58

Metadata standard name

ISO19115

Metadata standard version

2003/Cor.1:2006

Metadata author

Organisation name	Individual name	Electronic mail address	Role
JNCC		HabitatMapping@jncc.gov.uk	Point of contact