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Related papers: AI-based Wildfire Prevention, Detection and Suppre…

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Wildfires are a disastrous phenomenon which cause damage to land, loss of property, air pollution, and even loss of human life. Due to the warmer and drier conditions created by climate change, more severe and uncontrollable wildfires are…

Computer Vision and Pattern Recognition · Computer Science 2022-11-04 Omkar Ranadive , Jisu Kim , Serin Lee , Youngseo Cha , Heechan Park , Minkook Cho , Young K. Hwang

Over the past few years, wildfires have become a worldwide environmental emergency, resulting in substantial harm to natural habitats and playing a part in the acceleration of climate change. Wildfire management methods involve prevention,…

Computers and Society · Computer Science 2024-03-25 Stanley Chinedu Okoro , Alexander Lopez , Austine Unuriode

AI has been proposed as an important tool to support several efforts related to nature-based climate solutions such as the detection of wildfires that affect forests and vegetation-based offsets. While this and other use-cases provide…

Machine Learning · Computer Science 2023-12-20 Olamide Oladeji , Seyed Shahabeddin Mousavi

Wildfires have emerged as one of the most destructive natural disasters worldwide, causing catastrophic losses in both human lives and forest wildlife. Recently, the use of Artificial Intelligence (AI) in wildfires, propelled by the…

Carbon offset programs are critical in the fight against climate change. One emerging threat to the long-term stability and viability of forest carbon offset projects is wildfires, which can release large amounts of carbon and limit the…

Machine Learning · Computer Science 2023-05-05 Tristan Ballard , Matthew Cooper , Chris Lowrie , Gopal Erinjippurath

Due to climate change, the extreme wildfire has become one of the most dangerous natural hazards to human civilization. Even though, some wildfires may be initially caused by human activity, but the spread of wildfires is mainly determined…

Machine Learning · Computer Science 2025-03-13 Qijun Chen , Shaofan Li

Due to climate change and the disruption of ecosystems worldwide, wildfires are increasingly impacting environment, infrastructure, and human lives globally. Additionally, an exacerbating climate crisis means that these losses would…

Machine Learning · Computer Science 2025-09-16 Rohan Tan Bhowmik , Youn Soo Jung , Juan Aguilera , Mary Prunicki , Kari Nadeau

Wildfires pose a significant threat to ecosystems, wildlife, and human communities, leading to habitat destruction, pollutant emissions, and biodiversity loss. Accurate wildfire risk prediction is crucial for mitigating these impacts and…

Machine Learning · Computer Science 2025-06-17 Zhengsen Xu , Jonathan Li , Sibo Cheng , Xue Rui , Yu Zhao , Hongjie He , Haiyan Guan , Aryan Sharma , Matthew Erxleben , Ryan Chang , Linlin Xu

Wildfires are becoming increasingly frequent, with potentially devastating consequences, including loss of life, infrastructure destruction, and severe environmental damage. Low Earth orbit satellites equipped with onboard sensors can…

Systems and Control · Electrical Eng. & Systems 2026-05-11 Brycen D. Pearl , Joshua G. Warner , Hang Woon Lee

1.3 million household fires, 3,400 civilian deaths, and 23 billion dollars in damage, a fire department is called to respond every 24 seconds. Many firefighters are injured during search and rescue operations due to hidden dangers.…

Robotics · Computer Science 2021-04-05 Aryia Dattamajumdar

Wildfires increasingly threaten human life, ecosystems, and infrastructure, with events like the 2025 Palisades and Eaton fires in Los Angeles County underscoring the urgent need for more advanced prediction frameworks. Existing…

Artificial Intelligence · Computer Science 2025-08-05 Haowen Xu , Sisi Zlatanova , Ruiyu Liang , Ismet Canbulat

Wildfires are uncontrolled fires in the environment that can be caused by humans or nature. In 2020 alone, wildfires in California have burned 4.2 million acres, damaged 10,500 buildings or structures, and killed more than 31 people,…

Computer Vision and Pattern Recognition · Computer Science 2021-09-14 Samarth Shah

Given the importance of forests and their role in maintaining the ecological balance, which directly affects the planet, the climate, and the life on this planet, this research presents the problem of forest fire monitoring using drones.…

Robotics · Computer Science 2023-05-19 Mahdi Jemmali , Loai Kayed B. Melhim , Wadii Boulila , Hajer Amdouni , Mafawez T. Alharbi

Wildfires are increasingly impacting the environment, human health and safety. Among the top 20 California wildfires, those in 2020-2021 burned more acres than the last century combined. California's 2018 wildfire season caused damages of…

Machine Learning · Computer Science 2022-08-22 Rohan Tan Bhowmik

Wildfires pose significant threats to ecosystems, economies, and communities worldwide, necessitating advanced predictive methods for effective mitigation. This study introduces a novel and comprehensive dataset specifically designed for…

Machine Learning · Computer Science 2025-01-22 Ayoub Jadouli , Chaker El Amrani

Research has shown that climate change creates warmer temperatures and drier conditions, leading to longer wildfire seasons and increased wildfire risks in the United States. These factors have in turn led to increases in the frequency,…

In recent years, increased wildfires have caused irreversible damage to forest resources worldwide, threatening wildlives and human living conditions. The lack of accurate frontline information in real-time can pose great risks to…

Robotics · Computer Science 2021-12-07 Tai Yang , Shumeng Zhang , Yong Wang , Jialei Liu

Wildfires represent an important natural risk causing economic losses, human death and important environmental damage. In recent years, we witness an increase in fire intensity and frequency. Research has been conducted towards the…

Robotics · Computer Science 2021-03-08 Moulay A. Akhloufi , Nicolas A. Castro , Andy Couturier

Wildfire monitoring and prediction are essential for understanding wildfire behaviour. With extensive Earth observation data, these tasks can be integrated and enhanced through multi-task deep learning models. We present a comprehensive…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Yu Zhao , Sebastian Gerard , Yifang Ban

Over the past decade, the number of wildfire has increased significantly around the world, especially in the State of California. The high-level concentration of greenhouse gas (GHG) emitted by wildfires aggravates global warming that…

Machine Learning · Computer Science 2021-08-23 Sifat Chowdhury , Kai Zhu , Yu Zhang
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