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An integrated approach leveraging remote sensing, geospatial analysis, and machine learning algorithms for high-resolution wildfire susceptibility assessment and identification of environmental drivers in El Tarf Province, Algeria

Crossref DOI link: https://doi.org/10.1007/s10661-026-15080-z

Published Online: 2026-03-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Goumrasa, Abdeldjalil

Matougui, Zakaria

Belaroui, Abdelhakim

Akziz, Djamal

Guettouche, Mohamed Said
License Information

Text and Data Mining valid from 2026-03-04

Version of Record valid from 2026-03-04
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Article History

Received: 5 August 2025

Accepted: 9 February 2026

First Online: 4 March 2026

Declarations

: All authors have read, understood, and complied with the statement on “Ethical Responsibilities of Authors,” as outlined in the Instructions for Authors. We affirm that this manuscript adheres to ethical standards in authorship, research integrity, and publication ethics as required by the journal.

: The authors declare no competing interests.

: Not applicable.

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