CEFAScee0e7c0-7899-41db-9963-6b814f338977 English dataset Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk pointOfContact 2023-02-06T01:22:10 EPSG Geodetic Parameter Registry 2022-01-07 revision WGS 84 / UTM zone 20N DPLUS0045 Anguilla Seabed Classification derived from Pleiades data - T2 2019-02-01 publication 2023-02-06 revision 2018-08-29 creation CEFAS19318 https://data.cefas.co.uk Seabed classification and habitat map created from remote sensing data as part of the Darwin Plus funded project "Mapping Anguilla’s ‘Blue Belt’ Ecosystem Services". The project develops local capacity to undertake comprehensive marine resource assessments of Anguilla’s ‘Blue-Belt’, delivering best practice guidance for combining satellite and acoustic surveys, to extend mapping into deeper waters for the first time. The complexity of this shapefile means that it can only be dowloaded as a binary file and is not available via WMS/WFS. Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk originator Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk custodian Centre for Environment, Fisheries and Aquaculture Science, Lowestoft Laboratory (CEFAS) Cefas Lowestoft Laboratory Pakefield Road Lowestoft Suffolk NR33 0HT UK data.manager@cefas.co.uk distributor notPlanned Benthos Ecology Ecosystem Modelling Remote Sensing GEMET, version 1.0 2008-06-01 publication Habitat SeaDataNet P03 parameter discovery vocabulary 2011-03-25 revision Habitat characterisation Habitat extent SeaDataNet P02 parameter discovery vocabulary 2011-03-25 revision Species distribution GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Circalittoral Infralittoral SeaVoX Vertical Co-ordinate Coverages 2010-05-18 revision Marine Environmental Data and Information Network MEDIN metadata record availability 2012-01-11 publication data.gov.uk MEDIN metadata record availability 2012-01-11 publication otherRestrictions noLimitations otherRestrictions Public data - no limitations to reuse English biota -70.00 -60.00 10.00 20.00 2016-09-04 2018-03-30 Binary Unknown https://data.cefas.co.uk/view/19318 Cefas Data Portal download The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: Binary download. dataset INSPIRE Data Specification on Species Distribution – Technical Guidelines 2013-12-10 publication false See the referenced specification Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 publication true See the referenced specification Seabed classification and habitat maps were created from the remote sensing data collected by the Pleiades 1A Sensor. The data was mapped using Object based image analysis, a two-step process which involves the segmentation and then classification of an image. Before segmentation and classification, the satellite data underwent several different corrections including radiometric calibration, atmospheric correction, orthorectification, land and cloud masking, sun glint correction and depth correction. The satellite data was segmented using the multi-resolution segmentation algorithm within Trimble’s eCognition® software (v9.0.0). The objects produced during the segmentation were classified using a mixture of K-nearest neighbour, random forest and support vector machines classification algorithms. All three of these algorithms take the statistics from the training dataset, created from the ground truthing data, and classify the remaining objects based on statistically driven decisions. Data was classified to the more comprehensive habitat descriptors. Maps were validated against a subset of the groundtruthing stations which were left out of the classification. The map achieved an overall accuracy of 52.9%. MEDIN 3.1.1