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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

The critical need for sophisticated detection techniques has been highlighted by the rising frequency and intensity of wildfires in the US, especially in California. In 2023, wildfires caused 130 deaths nationwide, the highest since 1990.…

Computer Vision and Pattern Recognition · Computer Science 2025-05-26 Gowtham Raj Vuppari , Navarun Gupta , Ahmed El-Sayed , Xingguo Xiong

Deforestation estimation and fire detection in the Amazon forest poses a significant challenge due to the vast size of the area and the limited accessibility. However, these are crucial problems that lead to severe environmental…

Computer Vision and Pattern Recognition · Computer Science 2023-07-12 Gabor Fodor , Marcos V. Conde

Independent retrospective analyses of the effectiveness of reducing deforestation and forest degradation (REDD) projects are vital to ensure climate change benefits are being delivered. A recent study in Science by West et al. (1) appeared…

Over the last few decades, deforestation and climate change have caused increasing number of forest fires. In Southeast Asia, Indonesia has been the most affected country by tropical peatland forest fires. These fires have a significant…

Computer Vision and Pattern Recognition · Computer Science 2021-01-07 Suwei Yang , Massimo Lupascu , Kuldeep S. Meel

Fire and smoke phenomena pose a significant threat to the natural environment, ecosystems, and global economy, as well as human lives and wildlife. In this particular circumstance, there is a demand for more sophisticated and advanced…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Sayed Pedram Haeri Boroujeni , Niloufar Mehrabi , Fatemeh Afghah , Connor Peter McGrath , Danish Bhatkar , Mithilesh Anil Biradar , Abolfazl Razi

Wildfire prediction has become increasingly crucial due to the escalating impacts of climate change. Traditional CNN-based wildfire prediction models struggle with handling missing oceanic data and addressing the long-range dependencies…

Machine Learning · Computer Science 2024-02-13 Dayou Chen , Sibo Cheng , Jinwei Hu , Matthew Kasoar , Rossella Arcucci

The increasing frequency and intensity of wildfires poses severe threats to the secure and stable operation of power grids, particularly one that is interspersed with renewable generation. Unlike conventional contingencies, wildfires affect…

Systems and Control · Electrical Eng. & Systems 2026-04-06 Satyaprajna Sahoo , Anamitra Pal

Wildfire forecasting is of paramount importance for disaster risk reduction and environmental sustainability. We approach daily fire danger prediction as a machine learning task, using historical Earth observation data from the last decade…

Investigating the health impacts of wildfire smoke requires data on people's exposure to fine particulate matter (PM$_{2.5}$) across space and time. In recent years, it has become common to use machine learning models to fill gaps in…

Each year, wildfires destroy larger areas of Spain, threatening numerous ecosystems. Humans cause 90% of them (negligence or provoked) and the behaviour of individuals is unpredictable. However, atmospheric and environmental variables…

Computer Vision and Pattern Recognition · Computer Science 2023-06-09 Helena Liz-López , Javier Huertas-Tato , Jorge Pérez-Aracil , Carlos Casanova-Mateo , Julia Sanz-Justo , David Camacho

The need to explain predictive models is well-established in modern machine learning. However, beyond model interpretability, understanding pre-processing methods is equally essential. Understanding how data modifications impact model…

Artificial Intelligence · Computer Science 2025-05-09 Matteo Ceschin , Leonardo Arrighi , Luca Longo , Sylvio Barbon Junior

Climate change has intensified the frequency and severity of wildfires, making rapid and accurate prediction of fire spread essential for effective mitigation and response. Physics-based simulators such as FARSITE offer high-fidelity…

Machine Learning · Computer Science 2025-11-27 Taehoon Kang , Taeyong Kim

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

The threat posed by wildfires or bushfires has become a severe global issue due to the increase in human activities in forested areas and the impact of climate change. Consequently, there is a surge in the development of automatic wildfire…

Systems and Control · Electrical Eng. & Systems 2024-11-18 Chiu Chun Chan , Sheeraz A. Alvi , Xiangyun Zhou , Salman Durrani , Nicholas Wilson , Marta Yebra

In the past few years, artificial intelligence (AI) techniques have been implemented in almost all verticals of human life. However, the results generated from the AI models often lag explainability. AI models often appear as a blackbox…

Wildfire is an important system process of the earth that occurs across a wide range of spatial and temporal scales. A variety of methods have been used to predict wildfire phenomena during the past century to better our understanding of…

Applications · Statistics 2013-12-24 S. W. Taylor , Douglas G. Woolford , C. B. Dean , David L. Martell

Forest wildfires represent one of the catastrophic events that, over the last decades, caused huge environmental and humanitarian damages. In addition to a significant amount of carbon dioxide emission, they are a source of risk to society…

Computer Vision and Pattern Recognition · Computer Science 2024-01-23 Daniele Rege Cambrin , Luca Colomba , Paolo Garza

As a consequence of global warming and climate change, the risk and extent of wildfires have been increasing in many areas worldwide. Warmer temperatures and drier conditions can cause quickly spreading fires and make them harder to…

Computer Vision and Pattern Recognition · Computer Science 2026-05-06 Ozer Can Devecioglu , Mete Ahishali , Fahad Sohrab , Turker Ince , Moncef Gabbouj

Wildfires significantly impact natural ecosystems and human health, leading to biodiversity loss, increased hydrogeological risks, and elevated emissions of toxic substances. Climate change exacerbates these effects, particularly in regions…