Identification

Title

2015 - 2015 Centre for Environment, Fisheries & Aquaculture Science (Cefas) DPLUS026 British Virgin Islands Seabed Classification Map

Alternative title(s)

Darwin BVI mapping

Abstract

Predicted seabed classification map for part of Sir Francis Drake Channel south of Tortola, British Virgin Islands.

Resource type

dataset

Resource locator

http://data.cefas.co.uk/#/View/18174/

function: order

Unique resource identifier

code

CEFASe40207b8-8739-46b4-9177-03bc430dcd13

codeSpace

http://www.cefas.co.uk/

Dataset language

eng

Spatial reference system

authority code

OGP

code identifying the spatial reference system

urn:ogc:def:crs:EPSG::32600

Classification of spatial data and services

Topic category

inlandWaters

Keywords

Keyword set

keyword value

Keyword set

keyword value

originating controlled vocabulary

title

SeaDataNet P021 parameter discovery vocabulary

reference date

date type

revision

effective date

2011-03-25

Keyword set

keyword value

originating controlled vocabulary

title

GEMET, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Geographic location

West bounding longitude

-70

East bounding longitude

-60

North bounding latitude

20

South bounding latitude

10

Extent

Extent group

authority code

title

SeaVoX Vertical Co-ordinate Coverages

reference date

date type

revision

effective date

2010-05-18

code identifying the extent

Temporal reference

Temporal extent

Begin position

2015-04-01T00:00:00.000Z

End position

2015-09-30T00:00:00.000Z

Dataset reference date

date type

publication

effective date

2015-12-31

Frequency of update

notPlanned

Quality and validity

Lineage

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 survey of North St George's Channel rMCZ. The process is a combination of two approaches, statistical modelling and image analysis. To map substrata and assemblage types across the study site, object-based image analysis (OBIA; Blaschke, 2010) was utilised. The technique was implemented in the software package eCognition® v8.8 combined with a predictive modelling approach using the Random Forest2 algorithm (Breiman, 2001) application within eCognition®. This consists of a classification model aimed at predicting a target variable (in this case, sediment composition) based on exhaustively sampled auxiliary variables (in this case, the acoustic data). The technique has been used in previous studies to predict sediment type (Li et al., 2011a). Li et al. (2011b) showed that the Random Forest algorithm outperformed a range of other modelling techniques for predicting substrate type (Liaw and Wiener, 2002).

Conformity

Data format

name of format

version of format

Constraints related to access and use

Constraint set

Use constraints

Public data (Crown Copyright) - Open Government Licence Terms and Conditions apply

Constraint set

Limitations on public access

Public data (Crown Copyright) - Open Government Licence Terms and Conditions apply

Responsible organisations

Responsible party

contact position

Data Manager

organisation name

Centre for Environment, Fisheries & Aquaculture Science

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

telephone number

+44 (0)1502 562244

email address

data.manager@cefas.co.uk

responsible party role

originator

Responsible party

contact position

Data Manager

organisation name

Centre for Environment, Fisheries & Aquaculture Science

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

telephone number

+44 (0)1502 562244

email address

data.manager@cefas.co.uk

responsible party role

custodian

Metadata on metadata

Metadata point of contact

contact position

Data Manager

organisation name

Centre for Environment, Fisheries & Aquaculture Science

full postal address

Cefas Lowestoft Laboratory

Pakefield Road

Lowestoft

NR33 0HT

UK

telephone number

+44 (0)1502 562244

email address

data.manager@cefas.co.uk

responsible party role

pointOfContact

Metadata date

2020-01-09T14:09:44

Metadata language

eng