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Displaying 1 - 5 of 5

An efficient and lightweight detection model for forest smoke recognition

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

Current and future patterns of global wildfire based on deep neural networks

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

Harnessing deep learning for forecasting fire-burning locations and unveiling emissions

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

Large fires in wilderness areas

To trully allow fires to play their natural role in wilderness ecosystems, it is sometimes necessary to have large fires of long duration. Large fires are ecologically significant events that drive many other ecosystem processes. However, these fires pose significant management…
Person:
Year: 1995
Type: Document
Source: TTRS
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire History, Fire Occurrence, Fuels, Safety
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: Abies concolor, Abies magnifica, charcoal, coniferous forests, cutting, dendrochronology, ecosystem dynamics, fire frequency, fire management, fire scar analysis, fire size, forest management, lightning caused fires, Montana, national parks, Pinus albicaulis, Pinus contorta, Pinus jeffreyi, Pinus ponderosa, prescribed fires (chance ignition), prescribed fires (escaped), Sequoiadendron giganteum , Sierra Nevada, vegetation surveys, wilderness areas, wildfires, Wyoming, Yosemite National Park

Fire, global warming, and the carbon balance of boreal forests

Fire strongly influences carbon cycling and storage in boreal forests. In the near-term, if global warming occurs, the frequency and intensity of fires in boreal forests are likely to increase significantly. A sensitivity analysis on the relationship between fire and carbon…
Person:
Year: 1995
Type: Document
Source: FRAMES, TTRS
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire Occurrence, Models
Region(s): Alaska, International
Keywords: boreal forest, fire, carbon cycle, climate change, global warming, biomass, Canada, C - carbon, distribution, fire frequency, fire intensity, fire models, fire regimes, nutrient cycling, soil nutrients