Guangqing Zhai , Longhui Dou , Yifan Gu , Hongyi Zhou , Lele Feng , Liangliang Jiang , Jie Dong , Jiaxuan Sun , Haidong Li
{"title":"From spark to suppression: An overview of wildfire monitoring, progression prediction, and extinguishing techniques","authors":"Guangqing Zhai , Longhui Dou , Yifan Gu , Hongyi Zhou , Lele Feng , Liangliang Jiang , Jie Dong , Jiaxuan Sun , Haidong Li","doi":"10.1016/j.jag.2025.104600","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":73423,"journal":{"name":"International journal of applied earth observation and geoinformation : ITC journal","volume":"140 ","pages":"Article 104600"},"PeriodicalIF":7.6000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of applied earth observation and geoinformation : ITC journal","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S156984322500247X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REMOTE SENSING","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.