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Fire Technology
Erschienen in: Fire Technology 2/2021

05.11.2020

A Survey of Machine Learning Algorithms Based Forest Fires Prediction and Detection Systems

verfasst von: Faroudja Abid

Erschienen in: Fire Technology | Ausgabe 2/2021

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Abstract

Forest fires are one of the major environmental concerns, each year millions of hectares are destroyed over the world, causing economic and ecological damage as well as human lives. Thus, predicting such an environmental issue becomes a critical concern to mitigate this threat. Several technologies and new methods have been proposed to predict and detect forest fires. The trend is toward the integration of artificial intelligence to automate the prediction and detection of fire occurrence. This paper presents a comprehensive survey of the machine learning algorithms based forest fires prediction and detection systems. First, a brief introduction to the forest fire concern is given. Then, various methods and systems in forest fires prediction and detection systems are reviewed. Besides works that reported fire prediction and detection systems, studies that assessed the factors influencing the fire occurrence and risk are discussed. The main issues and outcomes within each study are presented and discussed.
Vorheriger Artikel The Historical Narrative of the Standard Temperature–Time Heating Curve for Structures
Nächster Artikel Machine Vision Based Fire Detection Techniques: A Survey

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Metadaten
Titel
A Survey of Machine Learning Algorithms Based Forest Fires Prediction and Detection Systems
verfasst von
Faroudja Abid
Publikationsdatum
05.11.2020
Verlag
Springer US
Erschienen in
Fire Technology / Ausgabe 2/2021
Print ISSN: 0015-2684
Elektronische ISSN: 1572-8099
DOI
https://doi.org/10.1007/s10694-020-01056-z

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