Producing forest fire susceptibility map via multi-criteria decision analysis and frequency ratio methods
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DOI: 10.1007/s11069-020-04158-7
Abstract: Located in the Mediterranean basin, one of the world’s leading places in terms of forest fires, Turkey is one of the countries where forest fires are experienced very often due to both natural and socio-economic… read more here.
Keywords: fire susceptibility; analysis; map; fire ... See more keywords
Fire-susceptibility mapping in the natural areas of Iran using new and ensemble data-mining models
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DOI: 10.1007/s11356-021-13881-y
Abstract: Fires have increased in northeastern Iran as its semi-arid climate landscape is desiccated by human activities. To combat fire outbreaks in any region, fire susceptibility must be mapped using accurate and efficient models. This research… read more here.
Keywords: using new; data mining; iran using; fire susceptibility ... See more keywords
Forest Fire Susceptibility Modeling Using a Convolutional Neural Network for Yunnan Province of China
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DOI: 10.1007/s13753-019-00233-1
Abstract: Forest fires have caused considerable losses to ecologies, societies, and economies worldwide. To minimize these losses and reduce forest fires, modeling and predicting the occurrence of forest fires are meaningful because they can support forest… read more here.
Keywords: fire susceptibility; neural network; fire; forest fire ... See more keywords
Fuzzy-metaheuristic ensembles for spatial assessment of forest fire susceptibility.
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DOI: 10.1016/j.jenvman.2019.109867
Abstract: Forests are important dynamic systems which are widely affected by fire worldwide. Due to the complexity and non-linearity of the forest fire problem, employing hybrid evolutionary algorithms is a logical task to achieve a reliable… read more here.
Keywords: fire susceptibility; fuzzy metaheuristic; metaheuristic ensembles; fire ... See more keywords