Modeling and mapping forest fire risk in the region of Aures (Algeria)
DOI:
https://doi.org/10.15291/geoadria.2846Keywords:
Key words, Modeling, Forest, fire, Risk, Multi-criteria Analysis, GIS, Remote sensingSupporting Agencies:
Abstract
The objective of this study is to modeling and mapping the Forest fire risk in the region of Aures situated in Northeast of Algeria, through the application of multi-criteria analysis methods to integrate geographic information systems (GIS) and remote sensing. The methodology is based on a weighted linear combination of three parameters that influence the initiation and propagation of a forest fire. These are vegetation, topography and anthropogenic index. The result is a vulnerability map classified into four classes according to pixel values. very high risk class forms 18,28% of the study area, high risk class forms 42,42%, moderate risk class forms 5,24% and 34,05% of the area is low risk.References
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