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Wildfire forecasting problems usually rely on complex grid-based mathematical models, mostly involving Computational fluid dynamics(CFD) and Celluar Automata, but these methods have always been computationally expensive and difficult to…

Machine Learning · Computer Science 2023-08-21 Hansong Xiao

Wildfire activity has increased dramatically in the western United States (US) over the last three decades, having a significant impact on air quality and human health. However, quantifying the drivers of trends in wildfires and subsequent…

Atmospheric and Oceanic Physics · Physics 2024-12-06 Xu Feng , Loretta J. Mickley , Jed O. Kaplan , Makoto Kelp , Yang Li , Tianjia Liu

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

The frequency of wildfire disasters has surged five-fold in the past 50 years due to climate change. Preemptive de-energization is a potent strategy to mitigate wildfire risks but substantially impacts customers. We propose a multistage…

Optimization and Control · Mathematics 2024-04-10 Hanbin Yang , Noah Rhodes , Haoxiang Yang , Line Roald , Lewis Ntaimo

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

Forest fire prediction involves estimating the likelihood of fire ignition or related risk levels in a specific area over a defined time period. With climate change intensifying fire behavior and frequency, accurate prediction has become…

Machine Learning · Computer Science 2026-04-16 Nicolas Caron , Christophe Guyeux , Hassan Noura , Benjamin Aynes

Wildfires are one of the costliest and deadliest natural disasters in the US, causing damage to millions of hectares of forest resources and threatening the lives of people and animals. Of particular importance are risks to firefighters and…

Computer Vision and Pattern Recognition · Computer Science 2020-12-29 Alireza Shamsoshoara , Fatemeh Afghah , Abolfazl Razi , Liming Zheng , Peter Z Fulé , Erik Blasch

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

Wildfires are becoming more frequent and their effects more devastating every day. Climate change has directly and indirectly affected the occurrence of these, as well as social phenomena have increased the vulnerability of people.…

Computer Vision and Pattern Recognition · Computer Science 2023-01-13 Eldan R. Daniel

Wildfires are increasingly exacerbated as a result of climate change, necessitating advanced proactive measures for effective mitigation. It is important to forecast wildfires weeks and months in advance to plan forest fuel management,…

Computer Vision and Pattern Recognition · Computer Science 2023-08-03 Ioannis Prapas , Nikolaos Ioannis Bountos , Spyros Kondylatos , Dimitrios Michail , Gustau Camps-Valls , Ioannis Papoutsis

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 have significantly increased in the United States (U.S.), making certain areas harder to live in. This motivates us to jointly analyze active fires and population changes in the U.S. from July 2020 to June 2021. The available data…

Methodology · Statistics 2024-11-19 Shijie Zhou , Jonathan R. Bradley

The 2019-2020 Black Summer bushfires in Australia devastated 19 million hectares, destroyed 3,000 homes, and lasted seven months, demonstrating the escalating scale and urgency of wildfire threats requiring better forecasting for effective…

Computers and Society · Computer Science 2025-10-29 Alec Sathiyamoorthy , Wenhao Zhou , Xiangmin Zhou , Xiaodong Li , Iqbal Gondal

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…

The explosive growth of spatial data and extensive utilization of spatial databases emphasize the necessity for the automated discovery of spatial knowledge. In modern times, spatial data mining has emerged as an area of voluminous…

Other Computer Science · Computer Science 2010-02-11 K. Angayarkkani , N. Radhakrishnan

With the increased size and frequency of wildfire eventsworldwide, accurate real-time prediction of evolving wildfirefronts is a crucial component of firefighting efforts and for-est management practices. We propose a wildfire…

Computer Vision and Pattern Recognition · Computer Science 2020-09-10 Maxfield E. Green , Karl Kaiser , Nat Shenton

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

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

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…

Rapid and accurate wildfire detection is crucial for emergency response and environmental management. In airborne and spaceborne missions, real-time algorithms must distinguish between no fire, active fire, and post-fire conditions, and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Mark Moussa , Andre Williams , Seth Roffe , Douglas Morton