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Ponte Academic Journal
Oct 2020, Volume 76, Issue 10

FOREST FIRE SUSCEPTIBILITY MODELLING USING REMOTE SENSING DATA, GIS AND AHP ANALYSIS (CASE STUDY: SOUHAN, ALGERIA)

Author(s): Taibi Brahim Elkhalil ,Dridi Hadda, Bouhata Rabah

J. Ponte - Oct 2020 - Volume 76 - Issue 10
doi: 10.21506/j.ponte.2020.10.7



Abstract:
The ecosystem loses significant surfaces of forest every year because of wildfires, In Algeria, the majority of wildfires occurrences particularly during summertime, to the point of becoming a matter of national concern due the great losses of vegetal covers they cause every year. in this article we will focus on the municipality of Souhane, largely composed of forest areas and greatly affected by wildfires almost every year. The purpose of our study is to obtain forest fire susceptibility map in this municipality, and this, by combining a geographic information system and the AHP method, several studies have proven the effectiveness of this technique on large areas, in our study, we are willing to verify its usefulness at the scale of a small municipality and its surroundings, and this, to determine the susceptibility of the entire zone to wildfires, in order to do so, we selected six particular factors, calculating than their weights using the AHP method. The obtained results indicated that 49.5 % of the total surface of this municipality is included in both high and very high susceptibility zones, The wildfires that occurred during the year 2019 confirming the relevance of the results obtained, moreover, the calculation of the combustion index has shown that the areas most affected by the fire are those located once again, in the so-called areas of high and very high susceptibility.
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