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dc.contributor.authorGAHTAL, Oussama-
dc.contributor.authorLOUKRIF, Ahmed Aymen-
dc.date.accessioned2024-07-11T10:18:32Z-
dc.date.available2024-07-11T10:18:32Z-
dc.date.issued2024-
dc.identifier.urihttps://ds.univ-oran2.dz:8443/jspui/handle/123456789/8294-
dc.descriptionConsidered the lung of the Earth, the forest is a treasure trove of biodiversity, a laboratory where humans can search for new medicines, a space for leisure and relaxation, and a true factory for purifying air, soil, and water. This natural wealth, covering 1% of the national territory, is now subject to multiple aggressions, both of climatic and anthropogenic origins. However, undoubtedly the most devastating factor for forests is fire, which benefits from favourable physical and natural conditions for its outbreak and spread.en_US
dc.description.abstractThis work focuses on the contribution of Geomatics and Artificial Intelligence to forest fire protection, recognized as a major threat to forest ecosystems. We utilized the Analytic Hierarchy Process (AHP) and Genetic Algorithms (GAs) to map the fire risk in the ThéniatelHad forest, located in the Wilaya of Tissemssilt Province. Integrating the historical fire data of the area into our analysis was crucial in enhancing our understanding of the risks involved. The results obtained with genetic algorithms are promising and urge us to refine our approach to produce more accurate risk maps. These maps could then be effectively used as tools for fire prevention.en_US
dc.language.isoenen_US
dc.publisherUniversité d’Oran 2en_US
dc.subjectGeomaticsen_US
dc.subject: AHP, GA, Forest Fires,Fire Historyen_US
dc.titleSynergy Between Geomatics and Artificial Intelligence for Optimizing Forest Fire Risk Management. Case of Study: Theniat El Had Tissemsilten_US
dc.typeThesisen_US
dc.number.totalPage101pen_US
Collection(s) :Master Géographie et Aménagement du Territoire

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