Articles | Volume 15, issue 3
https://doi.org/10.5194/essd-15-1287-2023
https://doi.org/10.5194/essd-15-1287-2023
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, https://doi.org/10.3390/FIRE4040082, 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, https://doi.org/10.14214/sf.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, https://doi.org/10.1071/WF11068, 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, https://doi.org/10.1111/GEB.13034, 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., https://www.fs.usda.gov/rm/pubs_int/int_gtr122.pdf (last access: 10 March 2023), 1982. 
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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.
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