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Wildfires are naturally caused (e.g. by lightning bolts), and human-caused, e.g. with lit cigarette butts carelessly thrown away in areas where cities meet rural and industrial zones.
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The study about wildfires, as broad as it is, considers risk/hazard models, fire spread, control and post-disaster recovery. Wildfires are impossible to predict at the moment. However, these studies can identify fire-prone areas. To do so, they may use: historical data, satellite images, machine learning and drone monitoring.
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Many studies concentrate on understanding biophysical factors that make fire more likely to occur, such as: altitude, gradient, climatic conditions, solar radiation, wind, drought, and vegetation cover.
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Other studies focus on understanding human factors towards fire, such as, institutional governance, prevention/response attitudes of the population, economic/social loss and post-fire landscape.
References
- Miranda et al., 2020, Environ. Res. Lett. 15, 094069.
- Shahriar et al., 2019, MATEC Web Conf. 258, 05033.
- Paveglio et al., 2015, International Journal of Wildland Fire 24, 212-224.
- Chuvieco et al., 2010, Ecological Modelling 221(1), 46-58.
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