The product include the fuel type and parameters following the standard classification of fuels for the European territory. The final output – fuel classes and static fuel map with the spatial resolution of 1 km2. Advanced classification models were applied to LiDAR (GEDI and ICESAT-2), multi and hyperspectral satellite imagery (Sentinel-2, Sentinel-3, PRISMA) for fuel type mapping, using standardised datasets from systematic field campaigns, lab experiments, forest inventory data and biophysical models. Surface fuel and canopy metrics (canopy cover, canopy height, canopy base height and canopy bulk density) are parameterised for running propagation potential (Flammap or FCCS). Custom fuel models were described for special interest ecosystems. Detailed description of algorithm of calculation and data sources available https://edatos.consorciomadrono.es/dataset.xhtml?persistentId=doi:10.21950/YABYCN Contact: Elena Aragoneses de la Rubia, UAH: e.aragoneses@uah.es Aragoneses, E., García, M., Salis, M., Ribeiro, L.M., & Chuvieco, E. (2023). Classification and mapping of European fuels using a hierarchical-multipurpose fuel classification system. Earth System Science Data, 15, 1287–1315. https://doi.org/10.5194/essd-15-1287-2023, 2023
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