Type
Topic
Region
Year
Displaying 201 - 225 of 2261
Digital dictionary for plot 6, 2013 Aspen Fire, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2013 Aspen Fire, Sierra National Forest, California, Fresno County, light wind, low rate of spread, surface fire, torching, low severity fire, low severity fire
Digital dictionary for plot 5, 2013 Aspen Fire, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2013 Aspen Fire, Sierra National Forest, California, Fresno County, light wind, low rate of spread, surface fire, moderate severity fire, unburned
Digital dictionary for plot 4, 2013 Aspen Fire, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2013 Aspen Fire, Sierra National Forest, California, Fresno County, moderate wind, surface fire, torching, high severity fire
Digital dictionary for plot 3, 2013 Aspen Fire, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2013 Aspen Fire, Sierra National Forest, California, Fresno County, moderate wind, surface fire, low severity fire, unburned
Digital dictionary for plot 2, 2013 Aspen Fire, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2013 Aspen Fire, Sierra National Forest, California, Fresno County, moderate wind, moderate rate of spread, surface fire, torching, high severity fire
Digital dictionary for plot 1, 2013 Aspen Fire, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2013 Aspen Fire, Sierra National Forest, California, Fresno County, moderate wind, low rate of spread, backing fire, surface fire, low severity fire, low severity fire
Digital dictionary for plot 18, 2007 Antelope Complex, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2007 Antelope Complex, Plumas National Forest, California, Plumas County, light wind, low rate of spread, backing fire, surface fire, low severity fire, unburned, prescribed burn
Digital dictionary for plot 17, 2007 Antelope Complex, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2007 Antelope Complex, Plumas National Forest, California, Plumas County, light wind, surface fire, unburned, unmanaged fuels
Digital dictionary for plot 15, 2007 Antelope Complex, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2007 Antelope Complex, Plumas National Forest, California, Plumas County, moderate wind, moderate rate of spread, surface fire, torching, low severity fire, activity fuels, prescribed burn
Digital dictionary for plot 12, 2007 Antelope Complex, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2007 Antelope Complex, Plumas National Forest, California, Plumas County, moderate wind, low rate of spread, surface fire, low severity fire, moderate severity fire
Digital dictionary for plot 11, 2007 Antelope Complex, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2007 Antelope Complex, Plumas National Forest, California, Plumas County, light wind, low rate of spread, backing fire, surface fire, unburned, unmanaged fuels
Digital dictionary for plot 8, 2007 Antelope Complex, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2007 Antelope Complex, Plumas National Forest, California, Plumas County, light wind, low rate of spread, backing fire, surface fire, unburned, activity fuels
Digital dictionary for plot 2, 2007 Antelope Complex, providing a summary of fuels, vegetation, climate, fire behavior, and fire effects data collected by the Fire Behavior Assessment Team (FBAT). The FBAT website (see below) provides links to reports on each fire ("Reports and…
Person:
Year: 2021
Type: Data
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fuels, Monitoring and Inventory
Region(s): California
Keywords: 2007 Antelope Complex, Plumas National Forest, California, Plumas County, light wind, low rate of spread, head fire, surface fire, activity fuels
From August to October 2020, a serious wildfire occurred in California, USA, which produced a large number of particulate matter and harmful gases, resulting in huge economic losses and environmental pollution. Particulate matter delays the GNSS signal, which affects the like…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): California
Keywords: GNSS - Global Navigation Satellite System, 2020 California wildfires, radiosonde, station network, multilayer perceptron neural networks, PM - particulate matter, PM2.5, PM10, PWV - precipitable water vapor
Training a deep learning-based classification model for early wildfire smoke images requires a large amount of rich data. However, due to the episodic nature of fire events, it is difficult to obtain wildfire smoke image data, and most of the samples in public datasets suffer…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: smoke classification, wildfire, deep learning, synthetic images, adversarial training, domain adaptation
In this study, we present a nationwide machine learning model for hourly PM2.5 estimation for the continental United States (US) using high temporal resolution Geostationary Operational Environmental Satellites (GOES-16) Aerosol Optical Depth (AOD) data, meteorological variables…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): California, Eastern, Great Basin, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest
Keywords: PM - particulate matter, PM2.5, machine learning, GOES-16, AOD - aerosol optical depth, California wildfires, ECMWF - European Center for Medium-Range Weather Forecasting, spatial-temporal analysis
The target detection of smoke through remote sensing images obtained by means of unmanned aerial vehicles (UAVs) can be effective for monitoring early forest fires. However, smoke targets in UAV images are often small and difficult to detect accurately. In this paper, we use…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: remote sensing, forest fire, wildfire, smoke detection, UAV - unmanned aerial vehicles, fire monitoring, component stitching data enhancement, parallel spatial domain attention mechanism, symmetry, small-scale transformer feature pyramid network, China
Ecosystem process models can be used to predict forest response to disturbances at a range of scales. Selection of the spatial class of model should depend on the scale of the research or management question, and model type should depend on the ecosystem attributes of interest.…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Ecology, Fire Effects, Mapping, Models, Monitoring and Inventory, Prescribed Fire
Region(s): Southern
Keywords: C - carbon, carbon sequestration, Ecosystem Demography model, ecosystem modeling, Ichauway, Jones Center, LANDIS-II, longleaf pine, Pinus palustris, wildfire
Accurate estimation of emissions from biomass burning and their impact on carbon storage requires pre and post-fire plot measurement of fuel consumption across a range of forest types and fire severities, and this information is currently far from comprehensive in Australia or…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fuels, Hazard and Risk, Prescribed Fire
Region(s): International
Keywords: fuel hazard, fire emissions, forest carbon, fire severity, fuel consumption, Australia
During summer 2018, wildfire smoke impacted the atmospheric composition and photochemistry across much of the western U.S. Smoke is becoming an increasingly important source of air pollution for this region, and this problem will continue to be exacerbated by climate change. The…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Monitoring and Inventory
Region(s): Great Basin
Keywords: wildfire, Idaho, air quality, VOC - volatile organic compounds, WE-CAN - Western Wildfire Experiment for Cloud Chemistry, Aerosol Absorption, and Nitrogen, CO - carbon monoxide, O3 - ozone, formaldehyde, PAN - peroxyacetyl nitrate, air pollution
We use observations of acyl peroxynitrates (PANs) from the Cross-Track Infrared Sounder (CrIS) to investigate PANs over the western U.S. during the summer 2018 wildfire season. This period coincides with the Western Wildfire Experiment for Cloud Chemistry, Aerosol Absorption,…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): California, Great Basin, Northern Rockies, Northwest, Rocky Mountain, Southwest
Keywords: wildfires, acyl peroxynitrates, PAN - peroxyacetyl nitrate, satellite, WE-CAN - Western Wildfire Experiment for Cloud Chemistry, Aerosol Absorption, and Nitrogen, transport, chemical production
Wildfire emissions affect downwind air quality and human health. Predictions of these impacts using models are limited by uncertainties in emissions and chemical evolution of smoke plumes. Using high-time-resolution aircraft measurements, we illustrate spatial variations that…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory, Safety
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: biomass burning, wildfire, chemistry, plume, hydroxyl radical, fire plume evolution, air quality, O3 - ozone
Wildfires generate large amounts of atmospheric pollutants yearly. The development of an emission inventory for this activity is a challenge today, mainly to perform the air quality modeling. There are accessible available databases with historical information about this source…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models, Monitoring and Inventory
Region(s): International
Keywords: GFAS - Global Fire Assimilation System, SMOKE - Sparse Matrix Operator Kernel Emissions, air quality modeling, biomass burning, black carbon, organic carbon, GFASv1.3, Southern Hemisphere, NCO - NetCDF Operator
Live fuel moisture content (LFMC) plays a critical role in wildfire dynamics, but little is known about responses of LFMC to multivariate climate change, e.g., warming temperature, CO2 fertilization, and altered precipitation patterns, leading to a limited prediction ability of…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Fuels, Hazard and Risk, Models
Region(s): California
Keywords: live fuel moisture content, vegetation model, fire danger, climate change
The multiannual variability of wildfire areas and volumes of emissions of carbon components (CO, CO2) and aerosol (PM2.5) caused by wildfires has been analyzed for the large Russian regions over a 20-year period (from 2001 to 2020) on the basis of satellite monitoring. A…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: satellite monitoring, Russia, remote sensing, wildfires, carbon components of gas, C - carbon, aerosols, PM2.5, PM - particulate matter, CO - carbon monoxide, CO2 - carbon dioxide