Advancements in Intelligent Technologies Approaches for Forest Fire Detection: A Comparative Study

Amira Sairi; Said Labed; Badreddine Miles

doi:10.33904/ejfe.1482838

EN

Advancements in Intelligent Technologies Approaches for Forest Fire Detection: A Comparative Study

Abstract

Forest fires pose a significant threat to ecosystems, wildlife, and communities worldwide, leading to severe environmental impacts such as soil degradation, reduced air quality, and increased greenhouse gas emissions. Effective forest fire prevention and management are a critical global challenge, with detection and suppression technologies constantly evolving. This paper provides a comparative study of various forest fire detection techniques, including watchtowers, satellites, wireless sensor networks (WSN), cameras, and drone systems. By examining the advantages and limitations of each method, the paper highlights specific examples of recent research using Artificial Intelligence (AI) and Internet of Things (IoT) technologies to illustrate their effectiveness and the problems. A detailed comparison table is included to summarize the performance and applicability of these techniques. The study concludes by evaluating the current state of fire detection technologies and proposing future research directions to enhance early fire detection systems. This comprehensive review aims to inform ongoing efforts in wildfire management and advance the development of more efficient detection strategies.

Keywords

Forest fire , satellites , drones , Wireless Sensor Networks , Internet of Things , Deep Learning , Camera

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Details

Primary Language

English

Subjects

Information Systems (Other) , Photogrammetry and Remote Sensing , Forestry Sciences (Other)

Journal Section

Review

Authors

Amira Sairi ^*
0009-0004-9716-725X
Algeria

Said Labed
0000-0001-9273-9790
Algeria

Badreddine Miles
0000-0002-0559-3277
Algeria

Early Pub Date

February 14, 2025

Publication Date

June 17, 2025

Submission Date

May 19, 2024

Acceptance Date

August 16, 2024

Published in Issue

Year 1970 Volume: 11 Number: 1

DOI

https://doi.org/10.33904/ejfe.1482838

IZ

https://izlik.org/JA38XB88UB

APA

Sairi, A., Labed, S., & Miles, B. (2025). Advancements in Intelligent Technologies Approaches for Forest Fire Detection: A Comparative Study. European Journal of Forest Engineering, 11(1), 66-80. https://doi.org/10.33904/ejfe.1482838

Creative Commons License

The works published in European Journal of Forest Engineering (EJFE) are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Advancements in Intelligent Technologies Approaches for Forest Fire Detection: A Comparative Study

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Advancements in Intelligent Technologies Approaches for Forest Fire Detection: A Comparative Study

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Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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