34 citations as recorded by crossref.

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3. Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables Y. Ji et al. 10.3390/f15010216
4. Recent evolution of spatial and temporal patterns of burnt areas and fire weather risk in the Iberian Peninsula T. Calheiros et al. 10.1016/j.agrformet.2020.107923
5. Estimating wildfire potential in Taiwan under different climate change scenarios H. Yu et al. 10.1007/s10584-023-03669-z
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8. Prediction of regional wildfire activity in the probabilistic Bayesian framework of Firelihood F. Pimont et al. 10.1002/eap.2316
9. Land, jet stream, and other atmospheric effects on burned area estimation during the South Asian heatwave of 2022 A. Irawan et al. 10.1016/j.jag.2024.103720
10. Disentangling the Influence of Past Fires on Subsequent Fires in Mediterranean Landscapes A. Duane et al. 10.1007/s10021-019-00340-6
11. Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe J. Bedia et al. 10.1016/j.cliser.2017.04.001
12. Integrating burned area as a complementary performance measure for daily fire danger assessment: A large-scale test İ. Bekar et al. 10.1016/j.agrformet.2023.109746
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16. Assessing impacts of future climate change on extreme fire weather and pyro-regions in Iberian Peninsula T. Calheiros et al. 10.1016/j.scitotenv.2020.142233
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19. Human-caused fire occurrence modelling in perspective: a review S. Costafreda-Aumedes et al. 10.1071/WF17026
20. Calibration and evaluation of the Canadian Forest Fire Weather Index (FWI) System for improved wildland fire danger rating in the United Kingdom M. de Jong et al. 10.5194/nhess-16-1217-2016
21. Complementing daily fire-danger assessment using a novel metric based on burnt area ranking G. Pezzatti et al. 10.1016/j.agrformet.2020.108172
22. Dynamic prediction of global monthly burned area with hybrid deep neural networks G. Zhang et al. 10.1002/eap.2610
23. Quantifying wildfire drivers and predictability in boreal peatlands using a two-step error-correcting machine learning framework in TeFire v1.0 R. Tang et al. 10.5194/gmd-17-1525-2024
24. Assessing Spatio-Temporal Variability of Wildfires and their Impact on Sub-Saharan Ecosystems and Air Quality Using Multisource Remotely Sensed Data and Trend Analysis M. Kganyago & L. Shikwambana 10.3390/su11236811
25. Understanding future changes to fires in southern Europe and their impacts on the wildland-urban interface A. Ganteaume et al. 10.1016/j.jnlssr.2021.01.001
26. Space-time clustering analysis of wildfires: The influence of dataset characteristics, fire prevention policy decisions, weather and climate J. Parente et al. 10.1016/j.scitotenv.2016.03.129
27. Variation in the Canadian Fire Weather Index Thresholds for Increasingly Larger Fires in Portugal P. Fernandes 10.3390/f10100838
28. Fire regimes at the arid fringe: A 16-year remote sensing perspective (2000–2016) on the controls of fire activity in Namibia from spatial predictive models M. Mayr et al. 10.1016/j.ecolind.2018.04.022
29. Quantifying the effects of environmental factors on wildfire burned area in the south central US using integrated machine learning techniques S. Wang & Y. Wang 10.5194/acp-20-11065-2020
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32. Seasonal predictability of summer fires in a Mediterranean environment R. Marcos et al. 10.1071/WF15079
33. Climate change impacts on wildfires in a Mediterranean environment M. Turco et al. 10.1007/s10584-014-1183-3
34. Deforestation and Forest Fires in Roraima and Their Relationship with Phytoclimatic Regions in the Northern Brazilian Amazon P. Barni et al. 10.1007/s00267-015-0447-7