Type
Topic
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Year
Displaying 1 - 5 of 5
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
Substantial natural environmental damage and economic losses are caused by fire. For this problem, automatic fire-smoke detection and identification are needed. Fire-smoke detection methods based on vision still suffer from significant challenges that fail to balance model…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Intelligence, Models
Region(s): International
Keywords: fire detection, smoke detection, YOLOv3, CNN - convolution neural network, attention mechanism, anchor-free mechanism, lightweight backbone
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
[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)
(1)The behaviour of the August 1936 Galatea fire in the foothills of the Canadian Rocky Mountains was reconstructed with respect to the rate of spread, frontal-fire intensity and fuel consumption, and illustrates that tree mortality, seed dispersal distance into the burn and…
Person:
Year: 1988
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire History, Fire Occurrence, Fire Prevention, Fuels, Intelligence, Models, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: Abies lasiocarpa, Alberta, Canada, conifers, crown fires, duff, elevation, fine fuels, fire adaptations (plants), fire case histories, fire frequency, fire intensity, fire size, fire suppression, fuel appraisal, fuel moisture, fuel types, habitat types, ignition, lightning caused fires, litter, moisture, montane forests, mortality, mountainous terrain, mountains, national parks, organic matter, overstory, Picea, Picea engelmannii, pine, Pinus contorta, plant growth, post fire recovery, radiation, rate of spread, regeneration, reproduction, sampling, seed dispersal, seed germination, site treatments, smoke behavior, species diversity (plants), statistical analysis, subalpine forests, topography, trees, water, wildfires, wind