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The Southwest Fire Science Consortium is partnering with FRAMES to help fire managers access important fire science information related to the Southwest's top ten fire management issues.

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Displaying 1 - 10 of 282

Current and future patterns of global wildfire based on deep neural networks
Zhang, Wang, Yang, Liu
Global climate change and extreme weather has a profound impact on wildfire, and it is of great importance to explore wildfire patterns in the context of global climate change for wildfire prevention and management. In this paper, a wildfire spatial…
Year: 2024
Type: Document

The REBURN Model: Simulating Forest and Fuel Succession and Disturbance Dynamics of Large Landscapes
Prichard, Hessburg
The landscape of eastern Washington, USA is comprised of common temperate forest and nonforest vegetation types distributed along broad topo-edaphic gradients. This landscape acts as the large testbed for presenters Susan Prichard and Paul Hessburg…
Year: 2024
Type: Media

Trends, impacts, and cost of catastrophic and frequent wildfires in the sagebrush biome
Crist, Belger, Davies, Davis, Meldrum, Shinneman, Remington, Welty, Mayer
Fire regimes in sagebrush (Artemisia spp.) ecosystems have been greatly altered across the western United States. Broad-scale invasion of non-native annual grasses, climate change, and human activities have accelerated wildfire cycles, increased…
Year: 2023
Type: Document

Fuel treatment effectiveness at the landscape scale: a systematic review of simulation studies comparing treatment scenarios in North America
Ott, Kilkenny, Jain
Background: The risk of destructive wildfire on fire-prone landscapes with excessive fuel buildup has prompted the use of fuel reduction treatments to protect valued resources from wildfire damage. The question of how to maximize the effectiveness…
Year: 2023
Type: Document

Forest fire and smoke detection using deep learning-based learning without forgetting
Sathishkumar, Cho, Subramanian, Naren
Background: Forests are an essential natural resource to humankind, providing a myriad of direct and indirect benefits. Natural disasters like forest fires have a major impact on global warming and the continued existence of life on Earth. Automatic…
Year: 2023
Type: Document

Pests, wind and fire: a multi-hazard risk review for natural disturbances in forests
Bastit, Brunette, Montagné-Huck
Natural disturbances are paramount in the development of ecosystems but may jeopardise the provision of forest ecosystem services. Climate change exacerbates this threat and favours interactions between disturbances. Our objective was thus to…
Year: 2023
Type: Document

A novel approach for predicting large wildfires using machine learning towards environmental justice via environmental remote sensing and atmospheric reanalysis data across the United States
Agrawal, Nelson, Low
Large wildfires (>125 hectares) in the United States account for over 95% of the burned area each year. Predicting large wildfires is imperative; however, current wildfire predictive models are region-based and computationally intensive. Using a…
Year: 2023
Type: Document

Escalating hot-dry extremes amplify compound fire weather risk
Fan, Miao, Zscheischler, Slater, Wu, Chai, AghaKouchak
Fire weather compounded by extremely hot and dry conditions often severely impacts society and ecosystems. To mitigate and better adapt to these compound fire weather (CFW) events, a better understanding of recent and future CFW trends is needed.…
Year: 2023
Type: Document

Fire detection and geo-localization using UAV's aerial images and yolo-based models
Choutri, Lagha, Meshoul, Batouche, Bouzidi, Charef
The past decade has witnessed a growing demand for drone-based fire detection systems, driven by escalating concerns about wildfires exacerbated by climate change, as corroborated by environmental studies. However, deploying existing drone-based…
Year: 2023
Type: Document

Forest fire smoke detection based on deep learning approaches and unmanned aerial vehicle images
Kim, Muminov
Wildfire poses a significant threat and is considered a severe natural disaster, which endangers forest resources, wildlife, and human livelihoods. In recent times, there has been an increase in the number of wildfire incidents, and both human…
Year: 2023
Type: Document