33 citations as recorded by crossref.

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8. 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
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18. Human-caused fire occurrence modelling in perspective: a review S. Costafreda-Aumedes et al. 10.1071/WF17026
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21. Dynamic prediction of global monthly burned area with hybrid deep neural networks G. Zhang et al. 10.1002/eap.2610
22. 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
23. 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
24. 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
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26. Variation in the Canadian Fire Weather Index Thresholds for Increasingly Larger Fires in Portugal P. Fernandes 10.3390/f10100838
27. 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
28. 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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33. 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