High-Resolution Fuel Map Dataset for Southern Mediterranean Europe (ZAFM-DW 2026, EPSG:3035)

High-Resolution Fuel Map Dataset for Southern Mediterranean Europe (ZAFM-DW 2026, EPSG:3035) Overview ZAFM-DW 2026 provides high-resolution (10 m) wildfire fuel model rasters for Southern Mediterranean Europe generated using the Zone Adaptive Fuel Mapping (ZAFM) methodology. The dataset combines the European FirEUrisk fuel map with land-cover information derived from Dynamic World. For each pixel, the Dynamic World land-cover class was obtained from the temporal mode of the Dynamic World label observations between 1 January and 31 July 2026. The resulting rasters contain categorical Scott and Burgan fuel model codes and are intended for wildfire behaviour and spread modelling workflows. Geographic coverage Countries included as separate rasters: - Spain (ESP)- Portugal (PRT)- France (FRA)- Italy (ITA)- Greece (GRC) Technical details CRS: EPSG:3035 (ETRS89 / LAEA Europe) Format: Cloud Optimized GeoTIFF (COG) Datatype: UInt16 NoData value: 0 Compression: LZW Bands: 1 Pixel size: 10 m × 10 m Land-cover reference period: 1 January 2026 – 31 July 2026 Dynamic World temporal aggregation: pixel-wise temporal mode of the label band How to cite (dataset) Sánchez, P., González, I., Carrillo, C., Cortés, A., Suppi, R., & Margalef, T. (2026).High-Resolution Fuel Map Dataset for Southern Mediterranean Europe (ZAFM-DW 2026, EPSG:3035).Zenodo. DOI: 10.5281/zenodo.21978709 Methodology reference (ZAFM algorithm) Sánchez, P., González, I., Carrillo, C. et al.Zone adaptive fuel mapping for high resolution wildfire spread forecasting.Scientific Reports 15, 22254 (2025). https://doi.org/10.1038/s41598-025-06402-1 Code repository https://github.com/GFire-UAB/ZAFM/ Included files Main data (Cloud Optimized GeoTIFF rasters): - ESP_3035_ZAFM_DYNAMIC_WORLD_2026.tif- PRT_3035_ZAFM_DYNAMIC_WORLD_2026.tif- FRA_3035_ZAFM_DYNAMIC_WORLD_2026.tif- ITA_3035_ZAFM_DYNAMIC_WORLD_2026.tif- GRC_3035_ZAFM_DYNAMIC_WORLD_2026.tif Additional documentation and lookup tables: - README.md- metadata.txt- CHANGELOG.txt- LICENSE.txt- HOWTO_NODATA.txt- zafm_legend.csv- burgan_models_table.csv- burgan_reference_mapping_examples.csv- DW_to_FirEUrisk_correspondence.csv- DW_to_FirEUrisk_correspondence.md- rasters_footprints.csv- rasters_footprints.json Funding This work is part of project CPP2021-008762 and has been financed by MCIN/AEI/10.13039/501100011033 and the European Union–NextGenerationEU/PRTR. It was also funded by: - Spanish Ministry of Science and Innovation (PID2020-113614RB-C21, PID2023-146193OB-I00)- Catalan Government (2021 SGR-00574) Attribution and source citations Dynamic World V1 Dynamic World is a 10 m near-real-time land use/land cover dataset derived from Sentinel-2 imagery. Brown, C.F., Brumby, S.P., Guzder-Williams, B. et al. (2022).Dynamic World, Near real-time global 10 m land use land cover mapping.Scientific Data 9, 251. https://doi.org/10.1038/s41597-022-01307-4 Dynamic World Project by Google in partnership with National Geographic Society and the World Resources Institute. Contains modified Copernicus Sentinel data. FirEUrisk Europe fuel map Aragoneses, E.; Garcia, M.; Chuvieco, E. (2022).FirEUrisk_Europe_fuel_map: European fuel map at 1 km resolution. https://doi.org/10.21950/YABYCN License CC BY 4.0 — © Paula Sánchez, 2026. Please provide attribution when reusing.