DPLUS026 British Virgin Islands Seabed Classification Map

Alternatieve titel	VG004003
Versiedatum	2015-09-29
Type versiedatum	Creatie: Aanmaakdatum of opnamedatum van de dataset.
Dataset identificator	e40207b8-8739-46b4-9177-03bc430dcd13

Contactgegevens dataset(serie)

Organisatie	Centre for Environment Fisheries and Aquaculture Science (CEFAS)
E-mail	datamanager@cefas.co.uk
Rol	Eigenaar: Partij die eigenaar is van de data.

Trefwoorden

GEMET - INSPIRE themes, version 1.0	Oceanographic geographical featuresHabitats and biotopes
GEMET - Concepts, version 4.1.3	habitat , biotope

Ruimtelijk schema dataset(serie)	vector: Vector data wordt gebruikt om geografische data te representeren.

Ruimtelijke resolutie dataset(serie)

Noemer	3700

Taal	Engels
Categorie(ën)	Biota,Oceanen

Begrenzing

Omschrijving geografische begrenzing
Omschrijvende rechthoek Minimum x-coordinaat -64.61763274 Maximum x-coordinaat -64.52307314 Minimum y-coordinaat 18.35995237 Maximum y-coordinaat 18.4409157
Identificator geografische begrenzing

Horizontaal en/of verticaal referentiesysteem

Unieke code	http://www.opengis.net/def/crs/EPSG/0/3857

Niveau kwaliteitsinformatie	Dataset: Informatie heeft betrekking op de dataset.

Bewerkingen

Algemene beschrijving herkomst

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). More information about methods is available at https://data.cefas.co.uk/view/18174. For publication to EMODnet, SAERI set the shapefile's layer properties to the projection EPSG:3857 then reprojected the resulting layer to EPSG:4326 - WGS 84. SAERI then removed holes smaller than 25 meters squared and processed the attribute table to fit the specified data exchange format. All work was conducted in QGIS v3.28.4. SAERI used the original GUI (e40207b8-8739-46b4-9177-03bc430dcd13) asigned to the dataset by CEFAS as the UUID for the dataset's publication to EMODnet; SAERI created a new GUI (VG004003) for the dataset.

Domeinconsistentie

Resultaat Specificatie Titel 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 Versiedatum 2010-12-08 Type versiedatum Publicatie: Uitgavedatum van de dataset. Uitleg This data set is conformant with the INSPIRE Implementing Rules for the interoperability of spatial data sets and services Conform verklaard Ja

Legale en veiligheidsbeperkingen

Beperkingen van de dataset(serie) Legale beperkingen (Juridische) toegangsbeperking anders: Restrictie niet opgenomen in lijst. Overige beperkingen Overige beperkingen no limitations to public access

Beperkingen van de dataset(serie) Legale beperkingen (Juridische) gebruiksbeperking anders: Restrictie niet opgenomen in lijst. Overige beperkingen Overige beperkingen Open Government Licence (OGL) terms and conditions apply. These datasets are from work funded by DEFRA and the Darwin Initiative, therefore access is public and use will be under Crown Copyright and Open Government Licence. Data are freely available for research or commercial use providing that the originators and the Darwin Initiative are acknowledged in any publications produced. Data can be found at https://data.cefas.co.uk/view/18174.

Distributieformaat

ESRI Shapefile (Version: 1) GML (Version: 3.2.1)

Overdracht OnLine bronnen Connectiepunt URL https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_view_maplibrary/wms Protocol OGC:WMS Naam vg004003 Beschrijving View map "vg004003" through the EMODnet Seabed Habitats "Map Library" Web Map Service OnLine bronnen Connectiepunt URL https://ows.emodnet-seabedhabitats.eu/geoserver/emodnet_open_maplibrary/wfs Protocol OGC:WFS Naam vg004003 Beschrijving View map "vg004003" through the EMODnet Seabed Habitats "Map Library" Web Feature Service OnLine bronnen Connectiepunt URL https://files.emodnet-seabedhabitats.eu/data/EMODnetSBHsurvey_VG004003.zip Protocol WWW:LINK-1.0-http--link Naam EMODnet Seabed Habitats Static Download

Metadata identificator (fileIdentifier)	e40207b8-8739-46b4-9177-03bc430dcd13
Taal metadatarecord	Engels
Karakterset metadatarecord	UTF-8: 8-bit variabele grootte universele karakterset, gebaseerd op ISO/IEC 10646
Hiërarchisch niveau	Dataset: Informatie heeft betrekking op de dataset.
Metadata wijzigingsdatum	2023-10-30T14:38:54.203Z
Metadata-auteur Organisatie South Atlantic Environmental and Research Institue (SAERI) E-mail info@saeri.ac.fk Rol Contactpunt: Partij waarmee contact kan worden opgenomen voor het vergaren van kennis of verstrekking van de data.