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Forest Fire Hazard Assessment using Remote Sensing Data and Machine Learning, Case Study of Jijel, Algeria Cover

Forest Fire Hazard Assessment using Remote Sensing Data and Machine Learning, Case Study of Jijel, Algeria

Ekológia (Bratislava)
Volume 44 (2025): Issue 1 (June 2025)
By: Zakaria Matougui and  Mohamed Zouidi  
Open Access
|Jun 2025
Authors

Authors

Zakaria Matougui

zakaria.matougui@crat.dz

Centre de Recherche en Aménagement du Territoire (CRAT), Campus Universitaire Zouaghi Slimane, Route de Ain el Bey, Constantine, Algérie

Mohamed Zouidi

zouidibiologie20@gmail.com

Centre de Recherche en Aménagement du Territoire (CRAT), Campus Universitaire Zouaghi Slimane, Route de Ain el Bey, Constantine, Algérie
DOI: https://doi.org/10.2478/eko-2025-0008 | Journal eISSN: 1337-947X | Journal ISSN: 1335-342X
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Language: English
Page range: 60 - 68
Submitted on: Aug 24, 2024
Accepted on: Mar 19, 2025
Published on: Jun 19, 2025
Published by: Slovak Academy of Sciences, Institute of Landscape Ecology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
wildfire susceptibility mapping,
remote sensing,
machine learning,
Jijel,
Algeria,
SHAP
Related subjects:
Life sciences,
Ecology,
Life sciences, other,
Chemistry,
Environmental chemistry,
Geosciences,
Geography

© 2025 Zakaria Matougui, Mohamed Zouidi, published by Slovak Academy of Sciences, Institute of Landscape Ecology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 44 (2025): Issue 1 (June 2025)
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