27 citations as recorded by crossref.

1. FIRE-RES Geo-Catch: a mobile application to support reliable fuel mapping at a pan-European scale E. Kutchartt et al. 10.3832/ifor4376-016
2. A method to produce a flexible and customized fuel models dataset A. Sá et al. 10.1016/j.mex.2023.102218
3. A fuzzy-based approach for clustering the meteorological drought over Iran Z. Khaghani et al. 10.1007/s00477-024-02891-0
4. Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data E. Aragoneses et al. 10.1016/j.rse.2024.114005
5. Climate change aggravated wildfire behaviour in the Iberian Peninsula in recent years M. Senande-Rivera et al. 10.1038/s41612-025-00906-3
6. A European-scale analysis reveals the complex roles of anthropogenic and climatic factors in driving the initiation of large wildfires C. Ochoa et al. 10.1016/j.scitotenv.2024.170443
7. The effect of broadleaf forests in wildfire mitigation in the WUI – A simulation study A. Oliveira et al. 10.1016/j.ijdrr.2023.103788
8. A Spectral–Spatial Approach for the Classification of Tree Cover Density in Mediterranean Biomes Using Sentinel-2 Imagery M. Sismanis et al. 10.3390/f15112025
9. Effects of bark beetle disturbance and fuel types on fire radiative power and burn severity in the Bohemian-Saxon Switzerland K. Beetz et al. 10.1093/forestry/cpae024
10. Fuel Type Mapping Using a CNN-Based Remote Sensing Approach: A Case Study in Sardinia A. Carbone et al. 10.3390/fire6100395
11. Pan-European fuel map server: An open-geodata portal for supporting fire risk assessment E. Kutchartt et al. 10.1016/j.geomat.2024.100036
12. Developing customized fuel models for shrub and bracken communities in Galicia (NW Spain) J. Vega et al. 10.1016/j.jenvman.2023.119831
13. High-Resolution Mapping of Litter and Duff Fuel Loads Using Multispectral Data and Random Forest Modeling Á. Chávez-Durán et al. 10.3390/fire7110408
14. Fostering Post-Fire Research Towards a More Balanced Wildfire Science Agenda to Navigate Global Environmental Change J. Gonçalves et al. 10.3390/fire8020051
15. FUELVISION: A multimodal data fusion and multimodel ensemble algorithm for wildfire fuels mapping R. Shaik et al. 10.1016/j.jag.2025.104436
16. MTTfireCAL Package for R—An Innovative, Comprehensive, and Fast Procedure to Calibrate the MTT Fire Spread Modelling System B. Aparício et al. 10.3390/fire6060219
17. A multi-sensor approach allows confident mapping of forest canopy fuel load and canopy bulk density to assess wildfire risk at the European scale E. Aragoneses et al. 10.1016/j.rse.2024.114578
18. Wildland fire fuels database for Corsican - Mediterranean Forest stand types Y. Pérez-Ramirez et al. 10.1016/j.foreco.2024.122002
19. Characterization of Fuel Types for the Canadian Region Using MODIS MCD12Q1 Data E. Nestola et al. 10.3390/fire7120485
20. The fire weather in Europe: large-scale trends towards higher danger J. Hetzer et al. 10.1088/1748-9326/ad5b09
21. Enhancing high-resolution fuel maps in WUI areas: El Pont de Vilomara fire, a case study P. Śanchez et al. 10.1088/1742-6596/2885/1/012064
22. Towards an Integrated Approach to Wildfire Risk Assessment: When, Where, What and How May the Landscapes Burn E. Chuvieco et al. 10.3390/fire6050215
23. A Novel Spectral–Spatial Methodology for Hierarchical Fuel Type Mapping in Mediterranean Ecosystems Using Sentinel-2 Timeseries and Auxiliary Thematic Data M. Sismanis et al. 10.3390/fire7110407
24. Using FlamMap to assess wildfire behavior in Bohemian Switzerland National Park L. Kudláčková et al. 10.1007/s11069-023-06361-8
25. Satellite-based mapping of canopy fuels at the pan-European scale E. Kutchartt et al. 10.1080/10095020.2024.2429376
26. Unlocking the potential of Airborne LiDAR for direct assessment of fuel bulk density and load distributions for wildfire hazard mapping O. Martin-Ducup et al. 10.1016/j.agrformet.2024.110341
27. Assessment of the surface forest fuel load in the Ukrainian Polissia S. Sydorenko et al. 10.1186/s42408-024-00265-z