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Review

Current Trends in Wildfire Detection, Monitoring and Surveillance

Chair of Computer Modelling and Intelligent Computer Systems, Department of Electronics and Computing, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture (FESB), University of Split, Ruđera Boškovića 32, 21000 Split, Croatia
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Fire 2025, 8(9), 356; https://doi.org/10.3390/fire8090356
Submission received: 26 July 2025 / Revised: 20 August 2025 / Accepted: 25 August 2025 / Published: 6 September 2025

Abstract

Wildfires pose severe threats to ecosystems and human settlements, making early detection and rapid response critical for minimizing damage. The adage—“You fight fire in the first second with a spoon of water, in the first minute with a bucket, and in the first hour with a truckload”—illustrates the importance of early intervention. Over recent decades, significant research efforts have been directed toward developing efficient systems capable of identifying wildfires in their initial stages, especially in remote forests and wildland–urban interfaces (WUIs). This review paper introduces the Special Issue of Fire and is dedicated to advanced approaches to wildfire detection, monitoring, and surveillance. It summarizes state-of-the-art technologies for smoke and flame detection, with a particular focus on their integration into broader wildfire management systems. Emphasis is placed on distinguishing wildfire monitoring (the passive collection of data using various sensors) from surveillance (active data analysis and action based on visual information). The paper is structured as follows: a historical and theoretical overview; a discussion of detection validation and available datasets; a review of current detection methods; integration with ICT tools and GIS systems; the identification of system gaps; and future directions and emerging technologies.
Keywords: wildfire detection; wildfire monitoring; wildfire surveillance; validation; testing; integration wildfire detection; wildfire monitoring; wildfire surveillance; validation; testing; integration

Share and Cite

MDPI and ACS Style

Bugarić, M.; Krstinić, D.; Šerić, L.; Stipaničev, D. Current Trends in Wildfire Detection, Monitoring and Surveillance. Fire 2025, 8, 356. https://doi.org/10.3390/fire8090356

AMA Style

Bugarić M, Krstinić D, Šerić L, Stipaničev D. Current Trends in Wildfire Detection, Monitoring and Surveillance. Fire. 2025; 8(9):356. https://doi.org/10.3390/fire8090356

Chicago/Turabian Style

Bugarić, Marin, Damir Krstinić, Ljiljana Šerić, and Darko Stipaničev. 2025. "Current Trends in Wildfire Detection, Monitoring and Surveillance" Fire 8, no. 9: 356. https://doi.org/10.3390/fire8090356

APA Style

Bugarić, M., Krstinić, D., Šerić, L., & Stipaničev, D. (2025). Current Trends in Wildfire Detection, Monitoring and Surveillance. Fire, 8(9), 356. https://doi.org/10.3390/fire8090356

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