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The primary data resource is a structured inventory of forest vegetation, where each entry represents an individual tree. Key variables include precise spatial coordinates (X, Y, Z), Diameter at Breast Height (DBH), and Total Height (TH). These parameters serve as the foundational inputs required to synthesize complex 3D fuel beds within the FastFuels modeling environment that can be later be used as inputs for wildfire simulation softwares FIRETEC and QUIC-Fire.\n\nThe data was extracted from terrestrial 3D LiDAR point clouds of a Pinus ponderosa plot scanned with a Riegl-VZ400i TLS scanner in Sycan Marsh, Oregon, USA during the summer of 2019. This resource was developed to provide \"ground truth\" fuel data for the validation and calibration of next-generation wildfire models, enabling researchers to simulate fire behaviour-such as crown fire initiation and heat flux-with higher physical fidelity.","distributionFormats":[{"name":"Comma-separated values (CSV)","type":"text/csv","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":"Advancing 3D Fuel Mapping for Wildfire Behaviour and Risk Mitigation Modelling","awardNumber":"NE/T001194/1","awardURI":"https://gtr.ukri.org/projects?ref=NE/T001194/1","orcid":false,"ror":true},{"funderName":"Agencia Estatal de Investigacion","funderIdentifier":"https://ror.org/003x0zc53","awardTitle":"Nuevos métodos para estimaciones de emisiones de carbono en incendios mediante inteligencia artificial aplicada a nubes de puntos terrestres en 3D","awardNumber":"PID2021-126790NB-I00","orcid":false,"ror":true},{"funderName":"Department of Defense Strategic Environmental Research and Development Program","funderIdentifier":"https://ror.org/00ew61678","awardTitle":"Closing Gaps in Measurements and Understanding: Plume Characteristics, Live Fuel Moisture Dynamics, and Process-Based Modeling","awardNumber":"RC20-1025","awardURI":"https://serdp-estcp.mil/projects/details/81291640-e2e5-48ec-aa2d-a6e589a060d1","orcid":false,"ror":true},{"funderName":"Department of Defense Strategic Environmental Research and Development Program","funderIdentifier":"https://ror.org/00ew61678","awardTitle":"FastFuels and QUIC-Fire: A Tool Suite Advancing DoW's Prescribed Fire Planning and Analysis Capabilities","awardNumber":"RC23-7626","awardURI":"https://serdp-estcp.mil/resources/details/adee307c-ed2c-43cd-b2cb-dfaa4c6d43ef/3d-vegetation-characterization-for-fire-behavior-modeling","orcid":false,"ror":true}],"hasOnlineServiceAgreement":true,"id":"bc67144d-91c4-446d-8691-248a793bf4f4","incomingCitationCount":0,"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/bc67144d-91c4-446d-8691-248a793bf4f4.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"keywordsOther":[{"value":"forest fire","uri":"http://www.eionet.europa.eu/gemet/concept/3419"},{"value":"remote sensing","uri":"http://www.eionet.europa.eu/gemet/concept/7102"},{"value":"forestry","uri":"http://www.eionet.europa.eu/gemet/concept/3439"},{"value":"computation fluid dynamics models"},{"value":"LiDAR"},{"value":"fuel","uri":"http://www.eionet.europa.eu/gemet/concept/3505"}],"keywordsTheme":[{"value":"Climate and climate change","uri":"http://onto.nerc.ac.uk/CEHMD/topic/4"},{"value":"Modelling","uri":"http://onto.nerc.ac.uk/CEHMD/topic/13"},{"value":"Environmental risk","uri":"http://onto.nerc.ac.uk/CEHMD/topic/5"}],"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":"Point 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. \nTLS point cloud sampling was performed along a 50 m grid to create a synoptic scan. 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Real-world coordinates (X, Y), Diameter at Breast Height (DBH) and tree Total Height (TH) are provided for each tree.","metadataDate":"2026-06-29T16:12:44","notGEMINI":true,"onlineResources":[{"url":"https://data-package.ceh.ac.uk/data/bc67144d-91c4-446d-8691-248a793bf4f4","name":"Download the data","description":"Download a copy of this data","function":"download","type":"OTHER"},{"url":"https://data-package.ceh.ac.uk/sd/bc67144d-91c4-446d-8691-248a793bf4f4.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"pointsOfContact":[{"displayName":"Diego Laino","organisationName":"Swansea University","organisationIdentifier":"https://ror.org/053fq8t95","role":"pointOfContact","email":"diego.laino@csic.es","fullName":"Diego Laino","pointOfContact":"Swansea University"}],"publicationDate":"2026-06-03T00:00:00.000Z","publishers":[{"organisationName":"NERC EDS Environmental 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