DPLUS0045 Anguilla Seabed Classification derived from Pleiades data - T1
Simplified 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.
Identificatie
Alternatieve titel | AI004002 |
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Versiedatum | 2018-03-30 |
Type versiedatum | Creatie: Aanmaakdatum of opnamedatum van de dataset. |
Dataset identificator | 79db82a6-f839-4309-8240-1231a5c8db47 |
Inhoud
Contactgegevens dataset(serie)
Organisatie | Centre for Environment Fisheries and Aquaculture Science (CEFAS) |
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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 |
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GEMET - Concepts, version 4.1.3 |
habitat
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Ruimtelijk schema dataset(serie) | vector: Vector data wordt gebruikt om geografische data te representeren. |
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Ruimtelijke resolutie dataset(serie)
Noemer | 1800 |
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Taal | Engels |
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Categorie(ën) |
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Begrenzing
Omschrijving geografische begrenzing | |||||||||
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Omschrijvende rechthoek
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Identificator geografische begrenzing |
Referentiesysteem
Horizontaal en/of verticaal referentiesysteem
Unieke code | http://www.opengis.net/def/crs/EPSG/0/3857 |
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Kwaliteit
Niveau kwaliteitsinformatie | Dataset: Informatie heeft betrekking op de dataset. |
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Bewerkingen
Algemene beschrijving herkomst | 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. The simplified map was classified to the simpler habitat classification of Seagrass, Algae, Bare and Mosaic. Maps were validated against a subset of the groundtruthing stations which were left out of the classification. The simplified map achieved an overall accuracy of 72.3%. For publication to EMODnet, SAERI reprojected the vector using the EPSG:4326 - WGS 84 coordinate system, cleaned the vector in mapshaper.org (https://mapshaper.org/) to eliminate gaps and overlaps, and processed the attribute table to fit the specified data exchange format. All work was conducted in QGIS v3.28.4. unless otherwise specified. SAERI used the original GUI assigned by CEFAS as this map's UUID and created the GUI AI004002. Data originally downloaded from https://data.cefas.co.uk/view/19317 |
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Conformiteit
Domeinconsistentie
Resultaat
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Toegangs- en gebruiksbeperkingen
Legale en veiligheidsbeperkingen
Beperkingen van de dataset(serie)
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Beperkingen van de dataset(serie)
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Distributie
Distributieformaat | ESRI Shapefile (Version: 1) GML (Version: 3.2.1) | ||||||||||||||||||||||||||||
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Overdracht
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Meta-metadata
Metadata identificator (fileIdentifier) | 79db82a6-f839-4309-8240-1231a5c8db47 | ||||||
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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 | 2023-10-30T12:15:30.527Z | ||||||
Metadata-auteur
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