Articles | Volume 15, issue 3
Data description paper
22 Mar 2023
Data description paper |  | 22 Mar 2023

Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system

Elena Aragoneses, Mariano García, Michele Salis, Luís M. Ribeiro, and Emilio Chuvieco

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Cited articles

Alcasena, F., Ager, A., Page, Y. Le, Bessa, P., Loureiro, C., and Oliveira, T.: Assessing Wildfire Exposure to Communities and Protected Areas in Portugal, Fire, 4, 82,, 2021. 
Ali, A., Xu, M.-S., Zhao, Y.-T., Zhang, Q.-Q., Zhou, L.-L., Yang, X.-D., and Yan, E.-R.: Allometric biomass equations for shrub and small tree species in subtropical China, Silva Fenn., 49, 1275,, 2015. 
Alonso-Benito, A., Arroyo, L. A., Arbelo, M., Hernández-Leal, P., and González-Calvo, A.: Pixel and object-based classification approaches for mapping forest fuel types in Tenerife Island from ASTER data, Int. J. Wildl. Fire, 22, 306–317,, 2013. 
Alvarado, S. T., Andela, N., Silva, T. S. F., and Archibald, S.: Thresholds of fire response to moisture and fuel load differ between tropical savannas and grasslands across continents, Glob. Ecol. Biogeogr., 29, 331–344,, 2020. 
Anderson, H.: Aids to determining fuel models for estimating fire behavior, US Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Washington, DC, USA, 26 pp., (last access: 10 March 2023), 1982. 
Short summary
We present a new hierarchical fuel classification system with a total of 85 fuels that is useful for preventing fire risk at different spatial scales. Based on this, we developed a European fuel map (1 km resolution) using land cover datasets, biogeographic datasets, and bioclimatic modelling. We validated the map by comparing it to high-resolution data, obtaining high overall accuracy. Finally, we developed a crosswalk for standard fuel models as a first assignment of fuel parameters.
Final-revised paper