From spark to suppression: An overview of wildfire monitoring, progression prediction, and extinguishing techniques

• Satellites, watchtowers, drones, and wireless sensor networks provide comprehensive forest fire monitoring data. • Artificial intelligence algorithms enhance data analysis and processing efficiency. • Effective rapid control plans for remote, isolated extreme fires remain lacking. Wildfires, a natural phenomenon predating human civilization, present severe threats to ecosystems, socio-economic factors, and human health. Due to climate change and human influence, the frequency and intensity of global wildfires are on the rise, which emit gigantic amounts of emissions into the atmosphere and compound the world’s efforts to tackle global warming. This study introduces and summarizes the response to wildfires, including fire monitoring, development prediction, and firefighting technology. Satellites, watchtowers, drones, and wireless sensor networks provide comprehensive forest fire monitoring data to fire departments. Artificial intelligence algorithms enhance data analysis and processing efficiency. Real-time wildfire risk prediction strategically guides fire force deployment, optimizing limited resources. The use of unmanned equipment in frontline firefighting enhances efficiency while minimizing risks to firefighters. However, it is revealed that effective rapid control plans for remote, isolated extreme fires remain lacking. This article aims to summarize the latest available technologies and strategies for responding to sudden wildfires, and aid relevant departments and personnel in devising emergency plans for the rapid detection and suppression of wildfires.

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Publication Details

Journal
International Journal of Applied Earth Observation and Geoinformation
Published
2025-05-15
DOI
https://doi.org/10.1016/j.jag.2025.104600
Citations
5
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
5.53
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article

From spark to suppression: An overview of wildfire monitoring, progression prediction, and extinguishing techniques

Y. T. Gu, Liangliang Jiang, Lele Feng, Haidong Li et al.
5 citations
International Journal of Applied Earth Observation and Geoinformation
Fire effects on ecosystems
5.53
article

From spark to suppression: An overview of wildfire monitoring, progression prediction, and extinguishing techniques

Y. T. Gu, Liangliang Jiang, Lele Feng, Haidong Li, Jie Dong, Hongyi Zhou, Jiaxuan Sun, Guangqing Zhai, Longhui Dou
article en
5 citations

Abstract

• Satellites, watchtowers, drones, and wireless sensor networks provide comprehensive forest fire monitoring data. • Artificial intelligence algorithms enhance data analysis and processing efficiency. • Effective rapid control plans for remote, isolated extreme fires remain lacking. Wildfires, a natural phenomenon predating human civilization, present severe threats to ecosystems, socio-economic factors, and human health. Due to climate change and human influence, the frequency and intensity of global wildfires are on the rise, which emit gigantic amounts of emissions into the atmosphere and compound the world’s efforts to tackle global warming. This study introduces and summarizes the response to wildfires, including fire monitoring, development prediction, and firefighting technology. Satellites, watchtowers, drones, and wireless sensor networks provide comprehensive forest fire monitoring data to fire departments. Artificial intelligence algorithms enhance data analysis and processing efficiency. Real-time wildfire risk prediction strategically guides fire force deployment, optimizing limited resources. The use of unmanned equipment in frontline firefighting enhances efficiency while minimizing risks to firefighters. However, it is revealed that effective rapid control plans for remote, isolated extreme fires remain lacking. This article aims to summarize the latest available technologies and strategies for responding to sudden wildfires, and aid relevant departments and personnel in devising emergency plans for the rapid detection and suppression of wildfires.

International Journal of Applied Earth Observation and GeoinformationVol. 140
University of Calgary (CA), China University of Mining and Technology (CN), Gansu Coalfield Geology Bureau (CN)
Climate action
Openalex Percentile: Top 4%
Fire effects on ecosystems
5.53
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