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Comparison of new individual and hybrid machine learning algorithms for modeling and mapping fire hazard: a supplementary analysis of fire hazard in different counties of Golestan Province in Iran
Authors:Eskandari  Saeedeh  Amiri  Mahdis  Sãdhasivam  Nitheshnirmal  Pourghasemi  Hamid Reza
Affiliation:1.Forest Research Division, Research Institute of Forests and Rangelands (RIFR), Agricultural Research Education and Extension Organization (AREEO), Tehran, Iran
;2.Department of Watershed and Arid Zone Management, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
;3.Department of Geography, School of Earth Science, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India
;4.Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran
;
Abstract:Natural Hazards - The forest fire hazard mapping using the accurate models in the fire-prone areas has particular importance to predict the future fire occurrence and allocate the resources for...
Keywords:
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