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The dataset brings together data reflecting quantity, quality, configuration, productivity and management of woodlands and other woody features in the landscape along with additional geo-physical variables to provide environmental context. The typology was derived by data-driven machine learning, through Self-Organised Maps and this dataset presents the optimum number of stable clusters from the typology analysis. The typology represents the situation in 2018; this was the most recent year for which all key woody-feature datasets were consistently available across Great Britain.\n\nThis dataset was generated to provide the first consistent, data‑driven classification of treescapes across Great Britain. Treescapes comprise the full range of woody features in rural and urban landscapes - including ancient or naturalised woodlands, plantations, hedgerows, lines of trees, orchards, wood pasture, agroforestry, woodlots and individual trees. Treescapes describe not only tree cover but reflect the visual and ecological arrangement of all trees in a landscape; the spatial configuration, density, species mix, aesthetic value, cultural and historic interactions. Existing products map woodland extent or tree cover, but currently we lack a consistent way of describing and classifying these treescapes, limiting our ability to understand how different woody features combine to shape ecosystem functions and benefits; this dataset was created to address this issue.","distributionFormats":[{"name":"TIFF","type":"image/tiff","version":"unknown"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"funding":[{"funderName":"Natural Environment Research Council","funderIdentifier":"https://ror.org/02b5d8509","awardTitle":"Connected treescapes: a portfolio approach for delivering multiple public benefits from UK treescapes in the rural-urban continuum","awardNumber":"NE/V020226/1","awardURI":"https://gtr.ukri.org/projects?ref=NE%2FV020226%2F1","orcid":false,"ror":true},{"funderName":"Natural Environment Research Council","funderIdentifier":"https://ror.org/02b5d8509","awardTitle":"Connected treescapes: a portfolio approach for delivering multiple public benefits from UK treescapes in the rural-urban continuum","awardNumber":"NE/V02020X/1","awardURI":"https://gtr.ukri.org/projects?ref=NE%2FV02020X%2F1","orcid":false,"ror":true}],"hasOnlineServiceAgreement":true,"id":"63e28ccb-465a-4c56-85b6-fd95ef67c28f","incomingCitationCount":0,"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/63e28ccb-465a-4c56-85b6-fd95ef67c28f.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"inspireThemes":[{"theme":"Land Cover","uri":"http://inspire.ec.europa.eu/theme/lc"}],"keywordsOther":[{"value":"woodland"},{"value":"self-organising maps"},{"value":"machine learning"},{"value":"natural capital","uri":"http://www.eionet.europa.eu/gemet/concept/15234"},{"value":"tree","uri":"http://www.eionet.europa.eu/gemet/concept/8664"},{"value":"forestry","uri":"http://www.eionet.europa.eu/gemet/concept/3439"},{"value":"landscape","uri":"http://www.eionet.europa.eu/gemet/concept/4648"}],"keywordsTheme":[{"value":"Biodiversity","uri":"http://onto.nerc.ac.uk/CEHMD/topic/2"},{"value":"Ecosystem services","uri":"http://onto.nerc.ac.uk/CEHMD/topic/6"},{"value":"Land cover","uri":"http://onto.nerc.ac.uk/CEHMD/topic/11"},{"value":"Land use","uri":"http://onto.nerc.ac.uk/CEHMD/topic/12"}],"licences":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/OGL/plain"}],"lineage":"The GB Treescape Typology was created by integrating 45 variables from 11 openly available national datasets describing woodland extent, tree cover, woody linear features, vegetation productivity, woodland management and environmental context across Great Britain. These datasets were harmonised to a 1 km grid, and additional metrics - such as patch area, cohesion, aggregation index and nearest‑neighbour distances - were derived from 25 m land cover data using FRAGSTATS. Vegetation indices (NDVI, NDMI, GRVI) were generated from Sentinel‑2 monthly composites in Google Earth Engine, with non‑woodland areas masked out. All variables were normalised before classification. \n\nA treescape typology was then produced using Self‑Organising Maps (SOMs), with 1000 iterations run to ensure stability. Nodes were matched across iterations using hierarchical clustering, and each grid cell was assigned to the node it most frequently belonged to. Quality assurance included testing woodland cover thresholds, assessing Euclidean distances to cluster centroids, and removing overly dominant contextual variables. The final product is a stable 14‑class typology representing the structure, composition and configuration of treescapes across GB.","metadataDate":"2026-07-28T12:21:21","notGEMINI":false,"onlineResources":[{"url":"https://data-package.ceh.ac.uk/data/63e28ccb-465a-4c56-85b6-fd95ef67c28f","name":"Download the data","description":"Download a copy of this data","function":"download","type":"OTHER"},{"url":"https://data-package.ceh.ac.uk/sd/63e28ccb-465a-4c56-85b6-fd95ef67c28f.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"publicationDate":"2026-07-17T00:00:00.000Z","publishers":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"publisher","email":"info@eidc.ac.uk"}],"resourceIdentifiers":[{"code":"https://catalogue.ceh.ac.uk/id/63e28ccb-465a-4c56-85b6-fd95ef67c28f"},{"code":"10.5285/63e28ccb-465a-4c56-85b6-fd95ef67c28f","codeSpace":"doi"}],"resourceType":{"value":"dataset"},"rightsHolders":[{"organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"rightsHolder"}],"spatialReferenceSystems":[{"code":"http://www.opengis.net/def/crs/EPSG/0/27700","title":"OSGB 1936 / British National Grid"}],"spatialRepresentationTypes":["grid"],"spatialResolutions":[{"distance":"1000","uom":"urn:ogc:def:uom:EPSG::9001"}],"supplemental":[{"name":"Connected Treescapes website","url":"https://www.uktreescapes.org/projects/connected-treescapes/","function":"website"}],"temporalExtents":[{"begin":"2018-01-01","end":"2018-12-31"}],"title":"Treescape typology at 1km resolution, Great Britain, 2018","topicCategories":[{"value":"biota","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota"},{"value":"environment","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment"}],"topics":["http://onto.nerc.ac.uk/CEHMD/topic/2","http://onto.nerc.ac.uk/CEHMD/topic/6","http://onto.nerc.ac.uk/CEHMD/topic/11","http://onto.nerc.ac.uk/CEHMD/topic/12"],"type":"dataset","uri":"https://catalogue.ceh.ac.uk/id/63e28ccb-465a-4c56-85b6-fd95ef67c28f","useConstraints":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/OGL/plain"}]}