GIS-based forest fire susceptibility modeling in Pauri Garhwal, India: a comparative assessment of frequency ratio, analytic hierarchy process and fuzzy modeling techniques
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DOI: 10.1007/s11069-020-04351-8
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- Abdel Rahman Al-Shabeeb & Ibraheem Hamdan & Sedigheh Meimandi Parizi & A’kif Al-Fugara & Sana’a Odat & Ismail Elkhrachy & Tongxin Hu & Saad Sh. Sammen, 2023. "A Comparative Study of Genetic Algorithm-Based Ensemble Models and Knowledge-Based Models for Wildfire Susceptibility Mapping," Sustainability, MDPI, vol. 15(21), pages 1-25, November.
- Hazem Ghassan Abdo & Hussein Almohamad & Ahmed Abdullah Al Dughairi & Motirh Al-Mutiry, 2022. "GIS-Based Frequency Ratio and Analytic Hierarchy Process for Forest Fire Susceptibility Mapping in the Western Region of Syria," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
- Yucel Gulluce, 2021. "A LabVIEW-based fire monitoring software using multi-criteria AHP approach for detecting geolocation of wildfire," 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. 109(2), pages 1849-1876, November.
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Keywords
Forest fire susceptibility map (FFSM); Multi-criteria decision analysis (MCDA); Frequency ratio (FR); Analytical hierarchical process (AHP); Fuzzy analytical hierarchical process (FAHP);All these keywords.
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