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Bertrand Mareschal

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« on: April 08, 2020, 04:28:27 PM »
Comparative Approach using Promethee based GIS and Remote Sensing for Forest Fire Risk Assessment in Western Algeria
Fekir Youcef1, MEDERBAL Khalladi2, LARID Mohamed1, HAMADOUCHE Mohammed Amine3, ANTEUR Djamel4
1 Water and Soil Conservation Laboratory, Faculty of Nature and Life Sciences, University of Mostaganem, Algeria
2 Geomatics and Sustainable Development Laboratory, University of Tiaret, Algeria
3 Geomatics, Ecology and Environnement Laboratory, University of Mustapha Stambouli, Mascara 29000, Algeria
4 Faculty of Nature and Life Sciences, University of Moulay Taher, Saida 20000, Algeria
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Forest ecosystems are the most important natural source for our environment. These last years, the forest ecosystems of the Mediterranean basin have experienced a remarkable degradation due to fires that continue to destroy the forest areas from one year to another. Algeria does not escape from this problem. It is considered as a country that is very affected by this phenomenon, which in more than 80% of their causes are anthropogenic. Every year, about 36000 ha are burned due to fires which more than 13414 ha recorded in 2017 by the General Directorate of Forests (DGF). In the western part of Algeria, the forest massif represents more than 29% of the Algerian forest heritag. Of all the problems in the region, fires remain the most devastating factor. To meet against this alarming situation, fighting and fire prevention seem to be the most effective way. These can only be realized through a spatialization of the forest fires risk and the delimitation of very vulnerable areas. Assessment of forest fire risk can be done basing on several factors of both qualittive and/or quantitaive nature such as forest vegetation density, topographic factor (Slope, Aspect) and human activities(distance to roads and setlments). These factor influence differently on the fire spread. The evolution of geospatial techniques such as geographic information systems (GIS), Remote Sensing (RS) and Multi Cretiria Decision Analysis (MCDA) methods have effectively improved solving this type of problem. In this context, this paper aims to assess the risk of forest fires using GIS-based MCDA. The approach consists of a spatialization of the forest fire risk by applying a model that integrates different factors issued from RS data and weighted using Analytic Hierarchy Process (AHP) method runing in ArcGIS software. These factors are introduced in a GIS environment as thematic layers to produce a synthetic fire risk map. This study is conducted in the forest of Nesmoth located in the southeast of the Mascara city in western Algeria. The obtained results are compared to the burned area extracted from satellite images issued according the historical fires dates. These results show that the GIS-AMCD combination can provide a very useful tool to forest managers and decision makers to prevent against fires risk.
Key waords: GIS, Remote sensing, Multicriteria Methods, Decision making, Forest fires, Nesmoth