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A Review of Machine Learning Approaches for Wildfire Prediction and Management in Australia: Challenges, Data Integration and Future Directions

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Bibliographic Details
Published in:European Journal of Forest Engineering
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title European Journal of Forest Engineering
description
discipline_display Forests and Forestry
discipline_facet Forests and Forestry
format Online Article
RSS Article
genre Journal Article
id rss_article:90490
institution FRELIP
journal_source_facet European Journal of Forest Engineering
last_indexed 2026-06-20T21:43:55.154Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Review of Machine Learning Approaches for Wildfire Prediction and Management in Australia: Challenges, Data Integration and Future Directions
Forests and Forestry
General
Forests and Forestry
sub_discipline_display General
sub_discipline_facet General
subject_display Forests and Forestry
General
Forests and Forestry
subject_facet Forests and Forestry
General
Forests and Forestry
title A Review of Machine Learning Approaches for Wildfire Prediction and Management in Australia: Challenges, Data Integration and Future Directions
title_alt Una revisión de los enfoques de aprendizaje automático para la predicción y gestión de incendios forestales en Australia: desafíos, integración de datos y direcciones futuras
Une revue des approches d'apprentissage automatique pour la prédiction et la gestion des feux de brousse en Australie : défis, intégration des données et orientations futures
Uma revisão das abordagens de aprendizado de máquina para previsão e gerenciamento de incêndios florestais na Austrália: desafios, integração de dados e direções futuras
title_auth A Review of Machine Learning Approaches for Wildfire Prediction and Management in Australia: Challenges, Data Integration and Future Directions
title_es_txt Una revisión de los enfoques de aprendizaje automático para la predicción y gestión de incendios forestales en Australia: desafíos, integración de datos y direcciones futuras
title_fr_txt Une revue des approches d'apprentissage automatique pour la prédiction et la gestion des feux de brousse en Australie : défis, intégration des données et orientations futures
title_full A Review of Machine Learning Approaches for Wildfire Prediction and Management in Australia: Challenges, Data Integration and Future Directions
title_fullStr A Review of Machine Learning Approaches for Wildfire Prediction and Management in Australia: Challenges, Data Integration and Future Directions
title_full_unstemmed A Review of Machine Learning Approaches for Wildfire Prediction and Management in Australia: Challenges, Data Integration and Future Directions
title_pt_txt Uma revisão das abordagens de aprendizado de máquina para previsão e gerenciamento de incêndios florestais na Austrália: desafios, integração de dados e direções futuras
title_short A Review of Machine Learning Approaches for Wildfire Prediction and Management in Australia: Challenges, Data Integration and Future Directions
title_sort a review of machine learning approaches for wildfire prediction and management in australia: challenges, data integration and future directions
topic Forests and Forestry
General
Forests and Forestry
url https://dergipark.org.tr/en/pub/ejfe/article/1606577%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20