Type
Topic
Region
Year
Displaying 1 - 17 of 17
Objective
This study aimed to establish the prevalence and to identify predictors of insomnia, nightmares and post-traumatic stress disorder (PTSD) in wildfire survivors.
Method
A total of 126 (23 males, 102 females, and 1 nonbinary individual, Mage = 52 years, SD = 14.4)…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Safety, Social Science
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: sleep disturbance, wildfire survivors, PTSD - post-traumatic stress disorder, insomnia, nightmares
A compact and sensitive dual-gas laser absorption sensor was developed for smoldering peat fire detection by real-time monitoring of transient CO2 and CH4 emissions from peat combustion exhaust. The sensor combines two infrared lasers to exploit CH4 and CO2 absorption lines…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): International
Keywords: absorption spectroscopy, wavelength modulation spectroscopy, smoldering combustion, peat fire, CO2 - carbon dioxide, CH4 - methane, fire detection
Fire and smoke object detection is of great significance due to the extreme destructive power of fire disasters. Most of the existing methods, whether traditional computer vision-based models with sensors or deep learning-based models have circumscribed application scenes with…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Intelligence, Models, Monitoring and Inventory
Region(s): International
Keywords: fire detection, smoke detection, dataset, object detection, DFS - Dataset for Fire and Smoke detection, deep learning
Wildfire activity in the western United States during August to October 2020 was exceptional in terms of the fire severity and area burned. Extremely dry biomass fuels from near historic multi-year drought conditions were further exacerbated with very hot and dry conditions in…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): California, Eastern, Northwest, Southern
Keywords: aerosol, remote sensing, AOD - aerosol optical depth, AERONET - Aerosol Robotic Network, PM2.5, PM - particulate matter, fine mode particulate mass, brown carbon, carbon absorbtion, extreme wildfires
Wildfires negatively affect the atmosphere and ecological environment. The rapid identification of smoke is helpful for early fire detection and positioning, which are significant for fire early warning, fire point tracing, and atmospheric environment monitoring. The purpose of…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: smoke detection, concentration, inversion, Mahalanobis distance, fire detection, fire positioning, satellite imagery
Numerous hectares of land are destroyed by wildfires every year, causing harm to the environment, the economy, and the ecology. More than fifty million acres have burned in several states as a result of recent forest fires in the Western United States and Australia. According to…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Intelligence
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: UAS - Unmanned Aircraft System, air quality, sensors, fire detection, optimization
The SCIENCEx webinar series brings together scientists and land management experts from across U.S. Forest Service research stations and beyond to explore the latest science and best practices for addressing large natural resource challenges across the country. These webinars…
Person:
Year: 2023
Type: Media
Source: FRAMES
Topic(s): Aquatic, Climate, Economics, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire History, Fire Occurrence, Fire Prevention, Fuels, Hazard and Risk, Mapping, Models, Monitoring and Inventory, Outreach, Planning, Prescribed Fire, Restoration and Rehabilitation, Social Science, Weather, Wildland-Urban Interface (WUI)
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords:
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 identification of forest…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: forest fire, image processing, deep learning, CNN - convolution neural network, learning without forgetting, transfer learning, fire detection, satellite imagery
Warming temperatures and prolonged drought periods cause rapid changes of fire frequencies and intensities in high-latitude ecosystems. Associated smoke plumes deposit dark particles from incomplete combustion on the Greenland ice sheet that reduce albedo but also provide a…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire History, Fire Occurrence
Region(s): International
Keywords: boreal forest, Greenland, paleofire, black carbon, ice cores, microscopic charcoal analysis, biomass burning
Rapid warming in Arctic tundra may lead to drier soils in summer and greater lightning ignition rates, likely culminating in enhanced wildfire risk. Increased wildfire frequency and intensity leads to greater conversion of permafrost carbon to greenhouse gas emissions. Here, we…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Effects, Fire History, Fire Occurrence
Region(s): Alaska
Keywords: CH4 - methane, Arctic tundra fire, airborne spectroscopy, Yukon-Kuskokwim Delta
Peatland fires are one of the major global sources of atmospheric particles. Emission factors for fine (PM1 and PM2.5) and ultrafine (PM0.1) particles and particle-bound polycyclic aromatic hydrocarbons (PAHs) from plants in the peat swamp forest (PSF), including Melaleuca…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Aquatic, Emissions and Smoke, Fire Effects, Fire Occurrence, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: peat swamp forest, forest burning source, PAH - polycyclic aromatic hydrocarbons, Melaleuca cajuputi, PM2.5, PM1, PM0.1, leaf litter, PAH diagnostic ratios, particle emission factors
Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing fires. Nevertheless, succeeding techniques for detecting forest fire smoke encounter…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: YOLOv8, UAV - unmanned aerial vehicles, smoke detection, forest fires, BiFormer, ghost shuffle convolution, remote sensing, deep learning
Wildfire is a pressing global issue that transcends geographic boundaries. Many areas, including China, are trying to cope with the threat of wildfires and manage limited forest resources. Effective forest fire detection is crucial, given its significant implications for…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Models
Region(s): International
Keywords: China, smoke detection, YOLOv8, channel depth, fire detection, forest resources
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 involvement with nature and the…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Fire Prevention, Models
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: forest fire, smoke detection, wildfire smoke, deep learning, remote sensing, decoupled head, UAV - unmanned aerial vehicles, YOLOv7
Research has shown that climate change creates warmer temperatures and drier conditions, leading to longer wildfire seasons and increased wildfire risks in the United States. These factors have, in turn, led to increases in the frequency, extent, and severity of wildfires in…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Models
Region(s): California
Keywords: remote sensing, wildfire mitigation, smoke detection, deep learning, image analysis, fire detection
[Executive Summary] The Wildland Fire Leadership Council (WFLC) presents this Addendum Update, to spotlight wildland fire critical emphasis areas and challenges that were not identified or addressed in depth in the 2014 National Cohesive Wildland Fire Management Strategy (…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Administration, Aquatic, Aviation, Climate, Communications, Economics, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire History, Fire Occurrence, Fire Prevention, Fuels, Hazard and Risk, Intelligence, Logistics, Mapping, Models, Monitoring and Inventory, Outreach, Planning, Prescribed Fire, Regulations and Legislation, Restoration and Rehabilitation, Safety, Social Science, Unknown, Weather, Wildland-Urban Interface (WUI)
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: wildfire, wildland fire, National Cohesive Wildland Fire Management Strategy (Cohesive Strategy)
At present, the wildfire smoke detection algorithm based on YOLOv3 has problems, such as low accuracy and slow detection speed. In this article, we propose a cross-layer extraction structure and multiscale downsampling network with bidirectional transpose FPN (BCMNet) for fast…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Models
Region(s): International
Keywords: fire detection, YOLOv3, smoke detection, China