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Related papers: Forecasting Post-Wildfire Vegetation Recovery in C…

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As the climate changes, the severity of wildland fires is expected to worsen. Models that accurately capture fire propagation dynamics greatly help efforts for understanding, responding to and mitigating the damages caused by these fires.…

Machine Learning · Computer Science 2021-04-12 John Burge , Matthew Bonanni , Matthias Ihme , Lily Hu

California's wildfire season keeps getting worse over the years, overwhelming the emergency response teams. These fires cause massive destruction to both property and human life. Because of these reasons, there's a growing need for accurate…

Machine Learning · Computer Science 2025-12-11 Shashank Bhardwaj

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

Given the increasing prevalence of wildland fires in the Western US, there is a critical need to develop tools to understand and accurately predict burn severity. We develop a machine learning model to predict post-fire burn severity using…

Forecasting the state of vegetation in response to climate and weather events is a major challenge. Its implementation will prove crucial in predicting crop yield, forest damage, or more generally the impact on ecosystems services relevant…

Wildfires are becoming increasingly frequent and devastating, and therefore the technology to combat them must adapt accordingly. Modern predictive models have failed to balance predictive accuracy and operational viability, resulting in…

Physics and Society · Physics 2025-10-14 Connor Weinhouse , Jameson Augustin

Wildfires pose a significant global threat to ecosystems worldwide, with California experiencing recurring fires due to various factors, including climate, topographical features, vegetation patterns, and human activities. This study aims…

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

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

Wildfire significantly disturb ecosystems by altering forest structure, vegetation ecophysiology, and soil properties. Understanding the complex interactions between topographic and climatic conditions in post-wildfire recovery is crucial.…

Physics and Society · Physics 2024-04-29 Faria Tuz Zahura , Gautam Bisht , Zhi Li , Sarah McKnight , Xingyuan Chen

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

Wildfire modelling is an attempt to reproduce fire behaviour. Through active fire analysis, it is possible to reproduce a dynamical process, such as wildfires, with limited duration time series data. Recurrent neural networks (RNNs) can…

Machine Learning · Computer Science 2020-05-28 Rylan Perumal , Terence L van Zyl

Solar energy is a clean and renewable energy. Photovoltaic (PV) power is an important way to utilize solar energy. Accurate PV power forecast is crucial to the large-scale application of PV power and the stability of electricity grid. This…

Machine Learning · Computer Science 2021-07-06 Mingliang Bai , Xinyu Zhao , Zhenhua Long , Jinfu Liu , Daren Yu

In recent years wildfires have caused havoc across the world, especially aggravated in certain regions, due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well as for measuring their effects on…

Applications · Statistics 2021-05-24 Feliu Serra-Burriel , Pedro Delicado , Fernando M. Cucchietti

Understanding post-wildfire vegetation loss is critical for developing effective ecological recovery strategies and is often challenging due to the extended time and effort required to capture the evolving ecosystem features. Recent works…

Machine Learning · Computer Science 2025-11-03 Meenu Ravi , Shailik Sarkar , Yanshen Sun , Vaishnavi Singh , Chang-Tien Lu

Drought is a frequent and costly natural disaster in California, with major negative impacts on agricultural production and water resource availability, particularly groundwater. This study investigated the performance of applying different…

Machine Learning · Computer Science 2025-02-13 Nan K. Li , Angela Chang , David Sherman

Accurate forecasts of fine particulate matter (PM 2.5) from wildfire smoke are crucial to safeguarding cardiopulmonary public health. Existing forecasting systems are trained on sparse and inaccurate ground truths, and do not take…

Computer Vision and Pattern Recognition · Computer Science 2020-09-25 Renhao Wang , Ashutosh Bhudia , Brandon Dos Remedios , Minnie Teng , Raymond Ng

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

Wildfire is one of the biggest disasters that frequently occurs on the west coast of the United States. Many efforts have been made to understand the causes of the increases in wildfire intensity and frequency in recent years. In this work,…

Machine Learning · Computer Science 2021-09-07 Tanqiu Jiang , Sidhant K. Bendre , Hanjia Lyu , Jiebo Luo

The current projection shows that much of the continental U.S. will have significantly hotter and drier days in the following decades, leading to more wildfire hazards that threaten the safety of power grid. Unfortunately, the U.S. power…

Methodology · Statistics 2023-01-03 Guanzhou Wei , Feng Qiu , Xiao Liu
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