Veuillez utiliser cette adresse pour citer ce document : https://ds.univ-oran2.dz:8443/jspui/handle/123456789/8294
Titre: Synergy Between Geomatics and Artificial Intelligence for Optimizing Forest Fire Risk Management. Case of Study: Theniat El Had Tissemsilt
Auteur(s): GAHTAL, Oussama
LOUKRIF, Ahmed Aymen
Mots-clés: Geomatics
: AHP, GA, Forest Fires,Fire History
Date de publication: 2024
Editeur: Université d’Oran 2
Résumé: This 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.
Description: Considered 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.
URI/URL: https://ds.univ-oran2.dz:8443/jspui/handle/123456789/8294
Collection(s) :Master Géographie et Aménagement du Territoire

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