Modeling and mapping forest fire risk in the region of Aures (Algeria)

Autor(i)

  • Souad Rahmani Faculty of Science of Nature and Life, University Mustapha Ben Boulaid - Batna 2, Algeria
  • Hassen Benmassoud Improvement of Agricultural Production and Protection of Ecosystems, arid zones, University El Hadj Lakhdar -Batna 01 (Algeria)

DOI:

https://doi.org/10.15291/geoadria.2846

Ključne riječi:

Key words, Modeling, Forest, fire, Risk, Multi-criteria Analysis, GIS, Remote sensing

Sažetak

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.

Reference

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Preuzimanja

Objavljeno

15.04.2020.

Broj časopisa

Svezak 24 Br. 2 (2019)

Rubrika

Izvorni znanstveni članak

Licenca

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