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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 162

Wildfire probability estimated from recent climate and fine fuels across the big sagebrush region
Holdrege, Schlaepfer, Palmquist, Crist, Doherty, Lauenroth, Remington, Riley, Short, Tull, Wiechman, Bradford
Background: Wildfire is a major proximate cause of historical and ongoing losses of intact big sagebrush (Artemisia tridentata Nutt.) plant communities and declines in sagebrush obligate wildlife species. In recent decades, fire return intervals…
Year: 2024
Type: Document

An efficient wildfire detection system for AI-embedded applications using satellite imagery
James, Ansaf, Al Samahi, Parker, Cutler, Gachette, Ansaf
Wildfire risk has globally increased during the past few years due to several factors. An efficient and fast response to wildfires is extremely important to reduce the damaging effect on humans and wildlife. This work introduces a methodology for…
Year: 2023
Type: Document

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

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

Global wildfire susceptibility mapping based on machine learning models
Shmuel, Heifetz
Wildfires are a major natural hazard that lead to deforestation, carbon emissions, and loss of human and animal lives every year. Effective predictions of wildfire occurrence and burned areas are essential to forest management and firefighting. In…
Year: 2022
Type: Document

A hybrid deep learning model by combining convolutional neural network and recurrent neural network to detect forest fire
Ghosh, Kumar
Forest fire poses a serious threat to wildlife, environment, and all mankind. This threat has prompted the development of various intelligent and computer vision based systems to detect forest fire. This article proposes a novel hybrid deep learning…
Year: 2022
Type: Document

Conserving Wildlife under Changing Fire Regimes
Jones
This seminar is part of the USFS Missoula Fire Lab Seminar Series. Fire regimes are changing. What will this mean for wildlife? In the face of rapid environmental changes, animals have three choices: adapt, move, or die. Wildlife responses to…
Year: 2022
Type: Media

Elevation in wildfire frequencies with respect to the climate change
Mansoor, Farooq, Kachroo, Mahmoud, Fawzy, Popescu, Alyemeni, Sonne, Rinklebe, Ahmad
Forests have been undergoing through immense pressure due to the factors like human activities; procurement of forest products and climate change which is a major factor influencing this pressure buildup on forests. Climate change and temperature…
Year: 2022
Type: Document

Full-Cost Accounting Remeasurement of the 2010 Schultz Fire – Understanding the Long-term Socio-Economic Implications of High-Severity Wildfire and Post-Wildfire Flooding
Colavito, Hjerpe, Edgeley
The 2010 Schultz Fire was ignited by an abandoned campfire on June 20 and burned 15,075 acres northeast of Flagstaff, Arizona. Following the fire, intense monsoon rains over the burned area produced flooding that resulted in extensive damage. In…
Year: 2021
Type: Media

Fire X Fauna Webinar: Spotted Owls x Fire
Lesmeister, Jones, Ganey
Part of the FIRE x FAUNA: Wildfire and Prescribed Fire Effects on Wildlife series sponsored by Forest Service Research and Development Quantification of wildfire severity in forests for northern spotted owls, Damon Lesmeister, Research Wildlife…
Year: 2020
Type: Media