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Massive wildfires have become more frequent, seriously threatening the Earth’s ecosystems and human societies. Recognizing smoke from forest fires is critical to extinguishing them at an early stage. However, edge devices have low computational accuracy and suboptimal real-time…
Person:
Year: 2024
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Models
Region(s): International
Keywords: China, YOLOv8, lightweight model, smoke detection, SimAmazonia, BiFPN - bidirectional feature pyramid network

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 prediction model based on…
Person:
Year: 2024
Type: Document
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Fire Occurrence, Fire Prevention, Models, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: fire management, GFED - Global Fire Emissions Database, convolutional neural network, area burned

Climate change and human activity have increased fires in India. Fine particulate matter (PM2.5) is released into the atmosphere by stubble burning in Punjab and Haryana and forest fires in the north-eastern and central areas of the country. Accurate short-term PM2.5 estimates…
Person:
Year: 2024
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Models
Region(s): International
Keywords: fire forecasting, deep learning, air pollution, LSTM - long short-term memory, India, PM2.5, fine particulate matter

Biomass combustion plays an important role in the earth's biogeochemical cycling. The monitoring of wildfires and their associated variables at global scales is feasible and can lead to predictions of the influence of combustion on biogeochemical cycling and tropospheric…
Person:
Year: 1988
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): California
Keywords: thermal analysis, wildfires, biogeochemical cycles, biomass burning, remote sensing, AVHRR - Advanced Very High Resolution Radiometer

[no description entered]
Person:
Year: 1988
Type: Document
Source: TTRS
Topic(s): Aviation, Economics, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire Occurrence, Fire Prevention, Fuels, Logistics, Prescribed Fire, Social Science, Economics, Wildland-Urban Interface (WUI)
Region(s): Southern
Keywords: aerial ignition, Alabama, burning intervals, coastal plain, fire exclusion, fire frequency, fire growth, fire injuries (animals), fire injuries (plants), fire intensity, fire management, fire regimes, fire size, fire suppression, Florida, fuel appraisal, fuel management, Georgia, Louisiana, Mississippi, national forests, North Carolina, Piedmont, rate of spread, season of fire, smoke management, South Carolina, Texas, wildfires

(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

[Annotation copied from Lynham et al. 2002(https://www.frames.gov/rcs/18000/18093.html)] Jack pine (Pinus banksiana) is an economically important Canadian tree species and its autecology is inextricably linked to fire. It would disappear as a natural component of the boreal…
Person:
Year: 1988
Type: Document
Source: FRAMES, TTRS
Topic(s): Economics, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire Occurrence, Fuels, Prescribed Fire
Region(s): International
Keywords: boreal forest, fire intensity, jack pine, Pinus banksiana, regeneration, ecosystem dynamics, eastern Canada, Canada, carbon dioxide, decay, diameter classes, disturbance, ecosystem dynamics, experimental fire, fire dependent species, fire frequency, litter, magnesium, mineral soil, mortality, N - nitrogen, nutrient cycling, Ontario, organic matter, overstory, pine forests, Pinus, plant growth, post-fire recovery, K - potassium, precipitation, seedlings, site treatments, soils, statistical analysis, understory vegetation, wildfires