PREFIX rdf: PREFIX rdfs: PREFIX skos: PREFIX owl: PREFIX xsd: PREFIX dcterms: PREFIX dcat: PREFIX dcmitype: PREFIX foaf: PREFIX geo: PREFIX vcard: PREFIX prov: PREFIX odrs: PREFIX sosa: PREFIX sdo: PREFIX ef: PREFIX doo: PREFIX adms: PREFIX : :bc67144d-91c4-446d-8691-248a793bf4f4 dcterms:title "Real-world tree attribute input data for 3D fuel modelling in FastFuels from Oregon, USA, 2019" ; dcterms:identifier "https://catalogue.ceh.ac.uk/id/bc67144d-91c4-446d-8691-248a793bf4f4","https://doi.org/10.5285/bc67144d-91c4-446d-8691-248a793bf4f4" ; dcterms:bibliographicCitation "Cabo, C., Laino, D., Doerr, S.H., Parsons, R.A., Hudak, A.T., Santin, C. (2026). Real-world tree attribute input data for 3D fuel modelling in FastFuels from Oregon, USA, 2019. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/bc67144d-91c4-446d-8691-248a793bf4f4" ; dcterms:description "This dataset consists of high-resolution individual tree attributes specifically formatted for 3D fuel modeling and physics-based fire simulation. 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. The 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." ; dcterms:provenance [ a dcterms:ProvenanceStatement ; rdfs:label "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. 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. LAZ files were processed using 3DFin software (https://github.com/3DFin/3DFin) to compute forest inventory metrics. Then, a random sample of 150 trees across the plot were extracted. Real-world coordinates (X, Y), Diameter at Breast Height (DBH) and tree Total Height (TH) are provided for each tree." ] ; dcterms:spatial [ a dcterms:Location ; dcat:bbox "POLYGON((-121.169 42.84, -121.169 42.857, -121.151 42.857, -121.151 42.84, -121.169 42.84))"^^geo:wktLiteral ; ] ; dcterms:temporal [ a dcterms:PeriodOfTime ; dcat:startDate "2019-07-08"^^xsd:date ; dcat:endDate "2019-07-12"^^xsd:date ; ] ; dcat:contactPoint :bc67144d-91c4-446d-8691-248a793bf4f4_c0 ; dcterms:publisher ; dcterms:relation ; dcterms:subject , , , , , , "computation fluid dynamics models", "LiDAR", ; prov:wasGeneratedBy , :bc67144d-91c4-446d-8691-248a793bf4f4_fund1, , ; a dcat:Dataset; dcterms:type dcmitype:Dataset ; dcterms:available "2026-06-03"^^xsd:date ; dcat:landingPage , ; dcterms:license ; dcterms:accessRights ; dcterms:theme , , ; dcat:distribution [ dcat:accessURL ; dcterms:license ; dcterms:accessRights ; dcterms:format [ a dcterms:IMT ; rdf:value "Comma-separated values (CSV)" ; rdfs:label "Comma-separated values (CSV)" ] ; ]; dcterms:creator , , , , , ; dcterms:language . :bc67144d-91c4-446d-8691-248a793bf4f4_c0 a foaf:Person ; foaf:name "Diego Laino" ; vcard:hasEmail "diego.laino@csic.es" ; foaf:member ; . a foaf:Organization ; foaf:name "NERC EDS Environmental Information Data Centre" ; vcard:hasEmail "info@eidc.ac.uk" ; foaf:member ; . a foaf:Person ; foaf:name "Cabo, C." ; foaf:familyName "Cabo" ; foaf:givenName "C." ; vcard:hasEmail "carlos.cabo@swansea.ac.uk" ; foaf:member ; . a foaf:Person ; foaf:name "Laino, D." ; foaf:familyName "Laino" ; foaf:givenName "D." ; vcard:hasEmail "diego.laino@csic.es" ; foaf:member ; . a foaf:Person ; foaf:name "Doerr, S.H." ; foaf:familyName "Doerr" ; foaf:givenName "S.H." ; vcard:hasEmail "s.doerr@swansea.ac.uk" ; foaf:member ; . a foaf:Person ; foaf:name "Parsons, R.A." ; foaf:familyName "Parsons" ; foaf:givenName "R.A." ; vcard:hasEmail "russell.a.parsons@usda.gov" ; foaf:member ; . a foaf:Person ; foaf:name "Hudak, A.T." ; foaf:familyName "Hudak" ; foaf:givenName "A.T." ; vcard:hasEmail "andrew.hudak@usda.gov" ; foaf:member ; . a foaf:Person ; foaf:name "Santin, C." ; foaf:familyName "Santin" ; foaf:givenName "C." ; vcard:hasEmail "c.santin@swansea.ac.uk" ; foaf:member ; . a skos:Concept; skos:prefLabel "Climate and climate change"; rdfs:label "Climate and climate change" . a skos:Concept; skos:prefLabel "Modelling"; rdfs:label "Modelling" . a skos:Concept; skos:prefLabel "Environmental risk"; rdfs:label "Environmental risk" . a skos:Concept; skos:prefLabel "forest fire"; rdfs:label "forest fire" . a skos:Concept; skos:prefLabel "remote sensing"; rdfs:label "remote sensing" . a skos:Concept; skos:prefLabel "forestry"; rdfs:label "forestry" . a skos:Concept; skos:prefLabel "fuel"; rdfs:label "fuel" . a foaf:Organization ; foaf:name "Swansea University" . a foaf:Organization ; foaf:name "US Forest Service" . a prov:Activity ; rdfs:label "Advancing 3D Fuel Mapping for Wildfire Behaviour and Risk Mitigation Modelling" . :bc67144d-91c4-446d-8691-248a793bf4f4_fund1 a prov:Activity ; rdfs:label "Nuevos métodos para estimaciones de emisiones de carbono en incendios mediante inteligencia artificial aplicada a nubes de puntos terrestres en 3D" . a prov:Activity ; rdfs:label "Closing Gaps in Measurements and Understanding: Plume Characteristics, Live Fuel Moisture Dynamics, and Process-Based Modeling" . a prov:Activity ; rdfs:label "FastFuels and QUIC-Fire: A Tool Suite Advancing DoW's Prescribed Fire Planning and Analysis Capabilities" .