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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…

机器学习 · 计算机科学 2025-03-13 Qijun Chen , Shaofan Li

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,…

计算机视觉与模式识别 · 计算机科学 2021-09-14 Samarth Shah

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…

机器学习 · 计算机科学 2022-08-22 Rohan Tan Bhowmik

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…

计算机视觉与模式识别 · 计算机科学 2022-11-04 Omkar Ranadive , Jisu Kim , Serin Lee , Youngseo Cha , Heechan Park , Minkook Cho , Young K. Hwang

Due to recent climate changes, we have seen more frequent and severe wildfires in the United States. Predicting wildfires is critical for natural disaster prevention and mitigation. Advances in technologies in data processing and…

机器学习 · 计算机科学 2022-09-22 Hyung-Jin Yoon , Petros Voulgaris

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…

机器学习 · 计算机科学 2025-09-16 Rohan Tan Bhowmik , Youn Soo Jung , Juan Aguilera , Mary Prunicki , Kari Nadeau

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…

计算机视觉与模式识别 · 计算机科学 2024-12-17 Yu Zhao , Sebastian Gerard , Yifang Ban

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.…

计算机视觉与模式识别 · 计算机科学 2025-05-26 Gowtham Raj Vuppari , Navarun Gupta , Ahmed El-Sayed , Xingguo Xiong

Over the past couple of decades, the number of wildfires and area of land burned around the world has been steadily increasing, partly due to climatic changes and global warming. Therefore, there is a high probability that more people will…

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…

计算机视觉与模式识别 · 计算机科学 2025-05-27 Lakshmi Aishwarya Malladi , Navarun Gupta , Ahmed El-Sayed , Xingguo Xiong

Climate change has resulted in a year over year increase in adverse weather and weather conditions which contribute to increasingly severe fire seasons. Without effective mitigation, these fires pose a threat to life, property, ecology,…

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…

机器学习 · 计算机科学 2021-11-30 Alissa Chavalithumrong , Hyung-Jin Yoon , Petros Voulgaris

Climate change is expected to aggravate wildfire activity through the exacerbation of fire weather. Improving our capabilities to anticipate wildfires on a global scale is of uttermost importance for mitigating their negative effects. In…

Recent wildfires in the United States have resulted in loss of life and billions of dollars, destroying countless structures and forests. Fighting wildfires is extremely complex. It is difficult to observe the true state of fires due to…

人工智能 · 计算机科学 2020-10-16 Tina Diao , Samriddhi Singla , Ayan Mukhopadhyay , Ahmed Eldawy , Ross Shachter , Mykel Kochenderfer

Wildfires pose a serious threat to the environment of the world. The global wildfire season length has increased by 19% and severe wildfires have besieged nations around the world. Every year, forests are burned by wildfires, causing vast…

人工智能 · 计算机科学 2023-12-13 Prisha Shroff

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…

应用统计 · 统计学 2013-12-24 S. W. Taylor , Douglas G. Woolford , C. B. Dean , David L. Martell

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…

Wildfire events have caused severe losses in many places around the world and are expected to increase with climate change. Throughout the years many technologies have been developed to identify fire events early on and to simulate fire…

机器学习 · 计算机科学 2022-03-30 Eduardo Rodrigues , Bianca Zadrozny , Campbell Watson

Wildfires are increasing in frequency and size across the western U.S., with some of the deadliest fires in recorded history occurring in the last few years. The public, as well as elected officials, use social media to convey opinions and…

社会与信息网络 · 计算机科学 2022-02-15 Reza Abdi , Terri S. Hogue

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…

应用统计 · 统计学 2021-05-24 Feliu Serra-Burriel , Pedro Delicado , Fernando M. Cucchietti
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