Volume 13, Issue 1 (2025)
ECOPERSIA 2025, 13(1): 49-67 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Azizianpour S, Mirzaei J, Omidipour R, Jafarian N. Machine learning based forest fire susceptibility prediction in semi-arid Oak forests of western Iran. ECOPERSIA 2025; 13 (1) :49-67
URL: http://ecopersia.modares.ac.ir/article-24-78131-en.html
URL: http://ecopersia.modares.ac.ir/article-24-78131-en.html
1- Department of Forest Science, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran
2- Department of Forest Science, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran ,j.mirzaei@ilam.ac.ir
3- Department of Range and Watershed Management, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran
2- Department of Forest Science, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran ,
3- Department of Range and Watershed Management, Faculty of Agriculture, Ilam University, 69315-516 Ilam, Iran
Abstract: (226 Views)
Keywords: Machine Learning-based Forest Fire Susceptibility Prediction in Semiarid Oak Forests of Western Iran
Article Type: Original Research |
Subject:
Ecosystem Management, Monitoring, Policy and Law
Received: 2024/11/23 | Revised: 2025/03/9 | Accepted: 2025/01/13 | Published: 2025/03/20
Received: 2024/11/23 | Revised: 2025/03/9 | Accepted: 2025/01/13 | Published: 2025/03/20
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |