Conifer proportion (of AGB) (P_Con) map for 2024

DOI

This dataset provides a high-resolution (10 m) pan-European map of forest Conifer proportion (of AGB) (P_Con) for the year 2024, along with an accompanying standard deviation layer. It is part of the PathFinder collection of forest structure maps, which integrates Sentinel-2 satellite imagery, auxiliary geospatial layers, and National Forest Inventory (NFI) data to deliver detailed forest attribute predictions across Europe. The map supports applications in forest management, biomass estimation, carbon accounting, and ecological modeling. For methodology and data integration details, see the documentation dataset of the PathFinder collection (https://doi.org/10.18710/OEYKEG) and the following publication: Miettinen, J., Breidenbach, J. et al. (2025). PathFinder's High-Resolution Pan-European Forest Structure Maps: An Integration of Earth Observation and National Forest Inventory Data. Zenodo. https://doi.org/10.5281/zenodo.17107267.

Identifier
DOI https://doi.org/10.18710/Z2DSMR
Related Identifier IsSupplementedBy https://doi.org/10.5281/zenodo.17107267
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/Z2DSMR
Provenance
Creator Norwegian Institute of Bioeconomy Research (NIBIO)
Publisher DataverseNO
Contributor Miettinen, Jukka; Breidenbach, Johannes; Norwegian Institute of Bioeconomy Research (NIBIO); VTT Technical Research Centre of Finland; PathFinder project
Publication Year 2025
Funding Reference European Union 101056907
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Miettinen, Jukka (VTT Technical Research Centre of Finland); Breidenbach, Johannes (Norwegian Institute of Bioeconomy Research (NIBIO)); Norwegian Institute of Bioeconomy Research (NIBIO)
Representation
Resource Type Map; Dataset
Format image/tiff
Size 118573283; 284631743; 70005399; 370924167; 745049667; 98605819; 124306835; 189923341; 48447103; 72621027; 744263945; 936052697; 263797693; 171382019; 63583143; 98818867; 480812041; 1201397495; 1069069185; 188690941; 909733677; 221448173; 148173439; 369066341; 1443004921; 1313768207; 901317101; 1456620293; 1552540015; 540937359; 18535075; 189686985; 769539213; 1020047507; 1025755923; 958888961; 1105548797; 1584219005; 819111629; 18608487; 199081179; 545057813; 657052705; 48944927; 69161759; 46520309; 112556673; 53251267; 112833483; 256360551; 66966705; 321920255; 661952281; 95187927; 117843569; 173712159; 48131167; 66095029; 655689773; 868935815; 263454639; 152124815; 61931065; 95439913; 452445701; 1104509783; 963099647; 172532673; 807766791; 203471181; 140914521; 372041805; 1307589281; 1167696777; 802112449; 1352351475; 1409153927; 495427757; 178830949; 735770577; 961279051; 908101239; 825842369; 972243419; 1455916159; 731234943; 18608367; 180361051; 506266645; 587472569; 48581881; 65674021; 46487263; 108832443; 49544163
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences
Spatial Coverage (-10.000W, 36.000S, 35.000E, 71.000N)