A data-driven approach to assess large fire size generation in Greece
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DOI: 10.1007/s11069-017-2934-z
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References listed on IDEAS
- Thibaut Fréjaville & Thomas Curt, 2015. "Spatiotemporal patterns of changes in fire regime and climate: defining the pyroclimates of south-eastern France (Mediterranean Basin)," Climatic Change, Springer, vol. 129(1), pages 239-251, March.
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- Wenjuan Sun & Paolo Bocchini & Brian D. Davison, 2020. "Applications of artificial intelligence for disaster management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(3), pages 2631-2689, September.
- Ling Tan & Ji Guo & Selvarajah Mohanarajah & Kun Zhou, 2021. "Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2389-2417, July.
- Nadia Politi & Diamando Vlachogiannis & Athanasios Sfetsos & Nikolaos Gounaris & Vassiliki Varela, 2023. "Investigation of Fire Weather Danger under a Changing Climate at High Resolution in Greece," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
- Joana Sousa & Can Çinar & Miguel Carmo & Marco A. S. Malagoli, 2022. "Social and historical dimensions of wildfire research and the consideration given to practical knowledge: a systematic review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1103-1123, November.
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Keywords
Large fires; Fire management; Machine learning; Greece;All these keywords.
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