Predicting Wildfires Occurrences Using Meteorological Parameters-Reference-Cited by-同舟云学术

Predicting Wildfires Occurrences Using Meteorological Parameters

Published:2022-10-17 Issue:6 Volume:16 Page:
ISSN:1735-6865
Container-title:International Journal of Environmental Research
language:en
Short-container-title:Int J Environ Res

Author:

Sadatrazavi Amirhossein,Motlagh Majid Shafiepour^ORCID,Noorpoor Alireza,Ehsani Amir Houshang

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s41742-022-00460-3.pdf

Reference39 articles.

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3. Ahmed H, Mohamed E, Bahaa S (2021) Evaluating two numerical methods for developing a local geoid model and a local digital elevation model for the Red Sea Coast Egypt. J King Saud Univ Eng Sci. https://doi.org/10.1016/j.jksues.2021.04.004

4. Al-Kahlout M, Abu Ghaly A, Mudawah D, Abu-Naser S (2020) Neural network approach to predict forest fires using meteorological data. Int J Acad Eng Res 4(9):68–72

5. Alonso-Betanzos A, Fontenla-Romero O, Guijarro-Berdiñas B, Hernández-Pereira E, Inmaculada Paz Andrade M, Jiménez E, Luis Legido Soto J, Carballas T (2003) An intelligent system for forest fire risk prediction and fire fighting management in Galicia. Expert Syst Appl 25(4):545–554. https://doi.org/10.1016/S0957-4174(03)00095-2

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