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Canada experienced in 2023 one of the most severe wildfire seasons in recent history, causing damage across ecosystems, destroying communities, and emitting large quantities of CO2. This extreme wildfire season is symptomatic of a…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Hugo Porta , Emanuele Dalsasso , Jessica L. McCarty , Devis Tuia

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

Identifying regions that have high likelihood for wildfires is a key component of land and forestry management and disaster preparedness. We create a data set by aggregating nearly a decade of remote-sensing data and historical fire records…

Computer Vision and Pattern Recognition · Computer Science 2021-02-11 Fantine Huot , R. Lily Hu , Matthias Ihme , Qing Wang , John Burge , Tianjian Lu , Jason Hickey , Yi-Fan Chen , John Anderson

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

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

One of the impacts of climate change is the difficulty of tree regrowth after wildfires over areas that traditionally were covered by certain tree species. Here a deep learning model is customized to classify land covers from four-band…

Computer Vision and Pattern Recognition · Computer Science 2020-11-13 Wang Zhou , Levente Klein

Thanks to recent advances in generative AI, computers can now simulate realistic and complex natural processes. We apply this capability to predict how wildfires spread, a task made difficult by the unpredictable nature of fire and the…

Machine Learning · Computer Science 2026-03-24 Wenbo Yu , Anirbit Ghosh , Tobias Sebastian Finn , Rossella Arcucci , Marc Bocquet , Sibo Cheng

As wildfires are expected to become more frequent and severe, improved prediction models are vital to mitigating risk and allocating resources. With remote sensing data, valuable spatiotemporal statistical models can be created and used for…

Machine Learning · Computer Science 2021-11-30 Alissa Chavalithumrong , Hyung-Jin Yoon , Petros Voulgaris

With climate change expected to exacerbate fire weather conditions, the accurate anticipation of wildfires on a global scale becomes increasingly crucial for disaster mitigation. In this study, we utilize SeasFire, a comprehensive global…

Computer Vision and Pattern Recognition · Computer Science 2024-04-10 Dimitrios Michail , Lefki-Ioanna Panagiotou , Charalampos Davalas , Ioannis Prapas , Spyros Kondylatos , Nikolaos Ioannis Bountos , Ioannis Papoutsis

Artificial intelligence (AI) is often presented as a key tool for addressing societal challenges, such as climate change. At the same time, AI's environmental footprint is expanding increasingly. This report describes the systemic…

Computers and Society · Computer Science 2025-12-16 Julian Schön , Lena Hoffmann , Nikolas Becker

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

An increasing amount of companies and cities plan to become CO2-neutral, which requires them to invest in renewable energies and carbon emission offsetting solutions. One of the cheapest carbon offsetting solutions is preventing…

Computers and Society · Computer Science 2019-12-18 Björn Lütjens , Lucas Liebenwein , Katharina Kramer

The understanding and prediction of large wildland fire events around the world is a growing interdisciplinary research area advanced rapidly by development and use of computational models. Recent models bidirectionally couple computational…

Atmospheric and Oceanic Physics · Physics 2020-07-06 J. L. Coen , W. Schroeder , S. Conway , L. Tarnay

Forest biomass is a key influence for future climate, and the world urgently needs highly scalable financing schemes, such as carbon offsetting certifications, to protect and restore forests. Current manual forest carbon stock inventory…

Computer Vision and Pattern Recognition · Computer Science 2024-11-28 Gyri Reiersen , David Dao , Björn Lütjens , Konstantin Klemmer , Kenza Amara , Attila Steinegger , Ce Zhang , Xiaoxiang Zhu

Over 8,024 wildfire incidents have been documented in 2024 alone, affecting thousands of fatalities and significant damage to infrastructure and ecosystems. Wildfires in the United States have inflicted devastating losses. Wildfires are…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Lakshmi Aishwarya Malladi , Navarun Gupta , Ahmed El-Sayed , Xingguo Xiong

Climate change is intensifying wildfire risks globally, making reliable forecasting critical for adaptation strategies. While machine learning shows promise for wildfire prediction from Earth observation data, current approaches lack…

Machine Learning · Computer Science 2025-10-14 Aditya Chakravarty

With fires becoming increasingly frequent and severe across the globe in recent years, understanding climate change's role in fire behavior is critical for quantifying current and future fire risk. However, global climate models typically…

Machine Learning · Computer Science 2020-11-26 Tristan Ballard , Gopal Erinjippurath

Wildfires are growing in frequency and intensity, devastating ecosystems and communities while causing billions of dollars in suppression costs and economic damage annually in the U.S. Traditional wildfire management is mostly reactive,…

Machine Learning · Computer Science 2026-01-21 Shaurya Mathur , Shreyas Bellary Manjunath , Nitin Kulkarni , Alina Vereshchaka

Wildfires are a growing threat to ecosystems, human lives, and infrastructure, with their frequency and intensity rising due to climate change and human activities. Early detection is critical, yet satellite-based monitoring remains…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Aydin Ayanzadeh , Prakhar Dixit , Sadia Kamal , Milton Halem

Climate change poses one of the most significant challenges to humanity. As a result of these climatic changes, the frequency of weather, climate, and water-related disasters has multiplied fivefold over the past 50 years, resulting in over…

Machine Learning · Computer Science 2023-12-04 Xiaolong Tu , Anik Mallik , Haoxin Wang , Jiang Xie