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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 104

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

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

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

A smart disaster management framework for wildfire detection and prediction
Kaur, Sood
Wildfires are exorbitantly cataclysmic disasters that lead to the destruction of forest cover, wildlife, land resources, human assets, reduced soil fertility and global warming. Every year wildfires wreck havoc across the globe. Therefore, there is…
Year: 2020
Type: Document

A smart approach for fire prediction under uncertain conditions using machine learning
Sharma, Rani, Memon
One of the most ubiquitous cause of worldwide deforestation and devastation of wildlife is fire. To control fire and reach the forest area in time is not always possible. Consequently, the level of destruction is often high. Therefore, predicting…
Year: 2020
Type: Document

Tamm Review: The effects of prescribed fire on wildfire regimes and impacts: a framework for comparison
Hunter, Robles
Prescribed fire can result in significant benefits to ecosystems and society. Examples include improved wildlife habitat, enhanced biodiversity, reduced threat of destructive wildfire, and enhanced ecosystem resilience. Prescribed fire can also come…
Year: 2020
Type: Document

Soft-computing-centric framework for wildfire monitoring, prediction and forecasting
Kaur, Sood
Wildfires are exorbitantly cataclysmic disasters that lead to the destruction of forest cover, wildlife, land resources, human assets, reduced soil fertility and global warming. Every year wildfires wreck havoc across the globe. Therefore, there is…
Year: 2020
Type: Document

Future changes in fire weather, spring droughts, and false springs across U.S. National Forests and Grasslands
Martinuzzi, Allstadt, Pidgeon, Flather, Jolly, Radeloff
Public lands provide many ecosystem services and support diverse plant and animal communities. In order to provide these benefits in the future, land managers and policy makers need information about future climate change and its potential effects.…
Year: 2019
Type: Document