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The point clouds were obtained across the US and the UK during 2019 and 2020. The US point clouds were acquired using a Riegl-VZ400i TLS scanner in Sycan Marsh, Oregon and the UK point clouds were acquired using a GeoSLAM ZEB Horizon in Loch Lomond, Scotland. This dataset can be used to explore structural differences across forests and as test data for 3D point cloud pipelines.","distributionFormats":[{"name":".laz","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","awardNumber":"NE/T001194/1","orcid":false,"ror":true}],"hasOnlineServiceAgreement":true,"id":"ff062c22-1297-4819-a40f-6585209d4c5e","incomingCitationCount":0,"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/ff062c22-1297-4819-a40f-6585209d4c5e.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"keywordsOther":[{"value":"forestry","uri":"http://www.eionet.europa.eu/gemet/concept/3439"},{"value":"fuel","uri":"http://www.eionet.europa.eu/gemet/concept/3505"},{"value":"modelling","uri":"http://www.eionet.europa.eu/gemet/concept/5327"},{"value":"remote sensing","uri":"http://www.eionet.europa.eu/gemet/concept/7102"}],"keywordsTheme":[{"value":"Mapping","uri":"http://onto.nerc.ac.uk/CEHMD/topic/18"}],"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":"US Point clouds:\nPoint cloud acquisition was done between 8th and 12th July 2019 in a 200x200 m2 study plot of a ponderosa pine woodland in Sycan Marsh preserve, Oregon, USA. TLS point cloud sampling was performed along a 50 m grid to create a synoptic scan. The point clouds have been acquired with a RIEGL-VZ400i TLS system with a laser sampling rate 750 kHz and a vertical sampling density of 0.21 degrees, mounted on a tripod at a minimum height of 1.5 m. Point cloud was georeferenced using the integrated L1 GPS receiver, compass and inclination sensors of the TLS system and ground control points whose coordinates were recorded were recorded using an RTK/Differential GPS receiver/base combination. The raw scans were pre-processed using Riegl's proprietary software RiSCAN PRO to assign metadata (scanner position, scan ID, date/time), align all scans into a common coordinate system and divide the total study area in 40 x 40 m2 plots (n = 25 plots). These resulting plots were finally stored into LAZ files.\n\nUK Point clouds:\nPoint cloud acquisition was done between 24th and 28th November 2020 in different plots of Loch Lomond. MLS point cloud sampling was performed along approximately 30x30 m plots. The point clouds have been acquired with a GeoSLAM ZEB Horizon handheld MLS system with a laser sampling rate 300 kHz and a vertical sampling density of 0.20 degrees, with a field of view of 360° x 270°. The raw scans were pre-processed using Faro's proprietary software Faro Connect to assign metadata (scanner position, scan ID, date/time), apply an SLAM algorithm to each scan to register the point clouds and to denoise them. The point clouds were then exported to CloudCompare to trim them to the final shapes. These resulting plots were finally stored into LAZ files","metadataDate":"2026-07-27T13:59:56","notGEMINI":true,"onlineResources":[{"url":"https://data-package.ceh.ac.uk/sd/ff062c22-1297-4819-a40f-6585209d4c5e.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"},{"url":"https://catalogue.ceh.ac.uk/datastore/eidchub/ff062c22-1297-4819-a40f-6585209d4c5e","name":"Download the data","description":"Download a copy of this data","function":"fileAccess","type":"OTHER"}],"publicationDate":"2026-07-20T00:00:00.000Z","publishers":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"publisher","email":"info@eidc.ac.uk"}],"relAll":[{"title":"Real-world tree attribute input data for 3D fuel modelling in FastFuels from Oregon, USA, 2019","publicationStatus":"published","href":"https://catalogue.ceh.ac.uk/id/bc67144d-91c4-446d-8691-248a793bf4f4","rel":"http://purl.org/dc/terms/relation","associationType":"dataset"},{"title":"Real-world fuel data from forest plots and input configuration for simulations of wildfires in Fire Dynamics Simulator (FDS), Oregon, USA, 2019","publicationStatus":"published","href":"https://catalogue.ceh.ac.uk/id/467a735f-b03c-4c30-8781-82f0e11aec28","rel":"http://purl.org/dc/terms/relation","associationType":"dataset"}],"relRelation":[{"title":"Real-world tree attribute input data for 3D fuel modelling in FastFuels from Oregon, USA, 2019","publicationStatus":"published","availability":"Available","href":"https://catalogue.ceh.ac.uk/id/bc67144d-91c4-446d-8691-248a793bf4f4","rel":"http://purl.org/dc/terms/relation","associationType":"dataset","geometry":"POLYGON((-121.169 42.84, -121.169 42.857, -121.151 42.857, -121.151 42.84, -121.169 42.84))","resourceIdentifiers":[{"code":"10.5285/bc67144d-91c4-446d-8691-248a793bf4f4","codeSpace":"doi"}]},{"title":"Real-world fuel data from forest plots and input configuration for simulations of wildfires in Fire Dynamics Simulator (FDS), Oregon, USA, 2019","publicationStatus":"published","availability":"Available","href":"https://catalogue.ceh.ac.uk/id/467a735f-b03c-4c30-8781-82f0e11aec28","rel":"http://purl.org/dc/terms/relation","associationType":"dataset","geometry":"POLYGON((-121.17 42.84, -121.17 42.86, -121.15 42.86, -121.15 42.84, -121.17 42.84))","resourceIdentifiers":[{"code":"10.5285/467a735f-b03c-4c30-8781-82f0e11aec28","codeSpace":"doi"}]}],"relationships":[{"relation":"http://purl.org/dc/terms/relation","target":"467a735f-b03c-4c30-8781-82f0e11aec28"},{"relation":"http://purl.org/dc/terms/relation","target":"bc67144d-91c4-446d-8691-248a793bf4f4"}],"resourceIdentifiers":[{"code":"https://catalogue.ceh.ac.uk/id/ff062c22-1297-4819-a40f-6585209d4c5e"},{"code":"10.5285/ff062c22-1297-4819-a40f-6585209d4c5e","codeSpace":"doi"}],"resourceType":{"value":"dataset"},"rightsHolders":[{"organisationName":"Swansea University","organisationIdentifier":"https://ror.org/053fq8t95","role":"rightsHolder"}],"spatialReferenceSystems":[{"code":"http://www.opengis.net/def/crs/EPSG/0/4326","title":"WGS 84"}],"spatialRepresentationTypes":["textTable"],"spatialResolutions":[{"distance":"100","uom":"urn:ogc:def:uom:EPSG::9001"}],"temporalExtents":[{"begin":"2019-07-08","end":"2020-07-12"}],"title":"3D point clouds of temperate forest stands in the UK and US, 2019-2020","topicCategories":[{"value":"environment","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/environment"},{"value":"biota","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/biota"},{"value":"geoscientificInformation","uri":"http://inspire.ec.europa.eu/metadata-codelist/TopicCategory/geoscientificInformation"}],"topics":["http://onto.nerc.ac.uk/CEHMD/topic/18"],"type":"dataset","uri":"https://catalogue.ceh.ac.uk/id/ff062c22-1297-4819-a40f-6585209d4c5e","useConstraints":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}]}