Identification

Title

Broadscale habitat (EUNIS level 3) for South East of Falmouth recommended Marine Conservation Zone (rMCZ)

Abstract

Updated habitat map resulting from an integrated analysis of the dedicated 2012 survey data (CEND3/12b) for South East of Falmouth rMCZ. Additional information source: Green, S., Cooper, R. 2016. South-East of Falmouth rMCZ Post-survey Site Report http://randd.defra.gov.uk/Document.aspx?Document=13592_SouthEastofFalmouth_rMCZ_Post_surveySiteReport_v10.pdf

Resource type

dataset

Resource locator

http://data.jncc.gov.uk/data/96dc1902-5b74-453d-bfcc-e21b847e0d32-GB001224.zip

name: GB001224.zip

Unique resource identifier

code

96dc1902-5b74-453d-bfcc-e21b847e0d32

codeSpace

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Additional information source

Green, S., Cooper, R. 2016. South-East of Falmouth rMCZ Post-survey Site Report http://randd.defra.gov.uk/Document.aspx?Document=13592_SouthEastofFalmouth_rMCZ_Post_surveySiteReport_v10.pdf

Classification of spatial data and services

Topic category

biota

Keywords

Keyword set

keyword value

Marine

Seabed Habitats and Geology

GB001224

EUNIS

Data Provider Agreement not required - FULL ACCESS

Nature Conservation

Drop camera

Grabs

Multibeam echo sounder

Particle size analysis

Geographic location

West bounding longitude

-4.749209

East bounding longitude

-4.679433

North bounding latitude

50.005487

South bounding latitude

49.960474

Temporal reference

Temporal extent

Begin position

2012-02-17

End position

2012-02-28

Dataset reference date

date type

publication

effective date

2015-09-07

Frequency of update

Quality and validity

Lineage

A new habitat map for the site was produced by analysing and interpreting the available acoustic data and the groundtruth data collected by the dedicated survey of this site. The process is a combination of two approaches, auto-classification (image analysis) and expert interpretation, as described below. 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-East Falmouth rMCZ Post-survey Site Report vs. 8 (Green, S. & Cooper, R., 2015).

Conformity

Data format

name of format

Geospatial (vector polygon)

version of format

Unknown

Constraints related to access and use

Constraint set

Use constraints

Released under the Open Government Licence v3.0. Attribution statement: “Contains public sector data from © JNCC 2016. Contains public sector information, licensed under the Open Government Licence v3.0, from the Maritime and Coastguard Agency.”

Limitations on public access

None

Responsible organisations

Responsible party

organisation name

Digital and Data Solutions, JNCC

email address

data@jncc.gov.uk

responsible party role

owner

Metadata on metadata

Metadata point of contact

organisation name

Digital and Data Solutions, JNCC

email address

data@jncc.gov.uk

responsible party role

pointOfContact

Metadata date

2019-02-06

Metadata language