16 citations as recorded by crossref.

1. Uncertainty assessment of remote sensing- and ground-based methods to estimate wildfire emissions: a case study in Calabria region (Italy) J. Castagna et al. https://doi.org/10.1007/s11869-022-01300-1
2. Metaheuristic optimizer combined with advanced machine learning algorithm for accurate wildfire susceptibility in Western Canada: A novel approach M. Khan et al. https://doi.org/10.1016/j.jag.2026.105304
3. Improved fire severity prediction using pre-fire remote sensing and meteorological time series: Application to the French Mediterranean area V. Penot et al. https://doi.org/10.1016/j.agrformet.2025.110588
4. Analyzing wildfire patterns and climate interactions in Campania, Italy: A multi-sensor remote sensing study H. Dadkhah et al. https://doi.org/10.1016/j.ecoinf.2025.103249
5. Assessing Wildfire Exposure to Communities and Protected Areas in Portugal F. Alcasena et al. https://doi.org/10.3390/fire4040082
6. A Multi-Temporal Sentinel-2 and Machine Learning Approach for Precision Burned Area Mapping: The Sardinia Case Study C. Collu et al. https://doi.org/10.3390/rs18020267
7. Estimation of potential wildfire behavior characteristics to assess wildfire danger in southwest China using deep learning schemes R. Chen et al. https://doi.org/10.1016/j.jenvman.2023.120005
8. Understanding fire regimes in Europe L. Galizia et al. https://doi.org/10.1071/WF21081
9. Global Warming Reshapes European Pyroregions L. Galizia et al. https://doi.org/10.1029/2022EF003182
10. The Canadian Fire Spread Dataset Q. Barber et al. https://doi.org/10.1038/s41597-024-03436-4
11. Utilizing the Available Open-Source Remotely Sensed Data in Assessing the Wildfire Ignition and Spread Capacities of Vegetated Surfaces in Romania A. Hysa et al. https://doi.org/10.3390/rs13142737
12. Intact peatlands experience smaller fire impact on tree cover than modified peatlands and non-peatlands in Indonesia E. Diatmiko et al. https://doi.org/10.3389/ffgc.2026.1840645
13. Pyrogeography across the western Palaearctic: A diversity of fire regimes J. Pausas https://doi.org/10.1111/geb.13569
14. Integrating public land fire data and satellite imagery improves fire frequency estimates across the landscape F. Charles et al. https://doi.org/10.1071/WF25076
15. Burned Area Evidence for Process-Sensitive Post-Fire Hydrogeomorphic Monitoring Across Mediterranean and Iberian–Atlantic Regions S. Polverino et al. https://doi.org/10.3390/land15081494
16. High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France L. Vallet et al. https://doi.org/10.5194/bg-20-3803-2023