Type
Topic
Region
Year
Displaying 1 - 25 of 46
An algorithm for retrieving nighttime aerosol optical depth (AOD) from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day-Night Band (DNB) observations of reflected moonlight is presented for rural areas during the western U.S. fire seasons. The algorithm uses the UNified…
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: AOD - aerosol optical depth, retrieval, algorithms, VIIRS - Visible Infrared Imaging Radiometer Suite, DNB - day-night band, moonlight observation, smoke transport, diurnal cycle, rural, air quality
Recently, the effect of large-scale fires on the global environment has attracted attention. Satellite observation data are used for global estimation of fire CO2 emissions, and available data sources are increasing. Although several CO2 emission inventories have already been…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Mapping
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: CO2 emissions, CO2 - carbon dioxide, biomass burning, fire map, land cover map, aboveground biomass
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
Wildfires in the western US have been particularly impactful in recent years not only in terms of loss of life and property but widespread smoke affecting millions of people. Several new satellites have launched…
Person: O'Neill
Year: 2021
Type: Media
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Mapping, Models, Monitoring and Inventory
Region(s): California
Keywords: air quality, remote sensing, GOES - Geostationary Operational Environmental Satellite, VIIRS - Visible Infrared Imaging Radiometer Suite, health impact analysis, Wine Country fires, Camp Fire, PM2.5, PM - particulate matter, CMAQ - Community Multiscale Air Quality Modeling System, AQI - Air Quality Index, wildfires, mortality, GoFAST - GOES Fire and Smoke Tool
Biomass burning is a major source of greenhouse gases (GHGs) and particulate matter (PM) emissions in China. Despite increasing efforts of fire monitoring, it remains challenging to quantify the variability in interannual and seasonal emissions of GHGs and PM from biomass…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Fuels, Mapping, Monitoring and Inventory
Region(s): International
Keywords: PM - particulate matter, greenhouse gases, northeastern China, solid fuels, crop residue burning, PM2.5, PM10, biomass burning, air quality, emission inventories, VIIRS - Visible Infrared Imaging Radiometer Suite, FRP - Fire Radiative Power
Satellite-based burned area products are accurate for many regions. However, only limited assessments exist for Indonesia despite extensive burning and globally important carbon emissions. We evaluated the accuracy of four MODIS-derived (moderate resolution imaging…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: tropical peatlands, Indonesia, wildfires, MODIS - Moderate Resolution Imaging Spectroradiometer, burned area mapping, temporal accuracy, remote sensing
In 2019, an unusually strong positive Indian Ocean Dipole spawned hot and dry weather in southeastern Australia, which promoted devastating wildfires in the period from September 2019 to February 2020. The fires produced large plumes of biomass burning aerosols that prevented…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: Australia, wildfires, aerosols, direct radiative forcing, direct aerosol radiative forcing, MODIS - Moderate Resolution Imaging Spectroradiometer, AERONET - Aerosol Robotic Network, biomass burning, satellite data
The challenges of the 2020 Fire Year have validated the Cohesive Strategy and proven its foundational value for additional success and achievement across boundaries and landscapes in the West. The following pages offer a snapshot of 2020 activities and successes in the Western…
Person:
Year: 2021
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, Weather, Wildland-Urban Interface (WUI)
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: National Cohesive Wildland Fire Management Strategy (Cohesive Strategy), wildfire, wildland fire
Fire activity and severity is increasing in the high northern latitudes, including burning landscapes long thought to be "fire resistant." Across the Pan-Arctic, smoke impacts from lengthening fire seasons in the boreal and the Arctic mean new public health challenges, as well…
Person: McCarty
Year: 2021
Type: Media
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Behavior, Mapping, Monitoring and Inventory
Region(s): Alaska, International
Keywords: Arctic region, climate change, black carbon, Russia, Canada, air quality, Siberia, agricultural fires, Scandinavia, burned area, MODIS - Moderate Resolution Imaging Spectroradiometer, VIIRS - Visible Infrared Imaging Radiometer Suite, cultural burning, Indigenous burning
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
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
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
Large wildland fires generate smoke that can compromise air quality over a wide area. Limited studies have suggested that smoke constituents may enter natural water bodies. In an 18-year water monitoring study, we examined whether smoke from distant wildland fires had a…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Aquatic, Emissions and Smoke, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: wildfires, water quality, MODIS - Moderate Resolution Imaging Spectroradiometer, PM - particulate matter, PM2.5, Canada, Alberta
In recent years, the pan-Arctic region has experienced increasingly extreme fire seasons. Fires in the northern high latitudes are driven by current and future climate change, lightning, fuel conditions, and human activity. In this context, conceptualizing and parameterizing…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): Alaska, International
Keywords: climate change, Arctic, wildfires, AMAP - Arctic Monitoring and Assessment Programme, black carbon, PM2.5, PM - particulate matter, fire management
One of the main sources of greenhouse gases is forest fire, with carbon dioxide as its main constituent. With increasing global surface temperatures, the probability of forest fire events also increases. A method that enables rapid quantification of emissions is even more…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: Landsat 8, Sentinel-2, forest fire, wildfire, GEE - Google Earth Engine, Indonesia, CO2 - carbon dioxide
Remote sensing (RS) images have been widely used in disaster monitoring due to their wide observation and timeliness. Wildfire is a type of destructive disaster, and smoke is an important signal of the occurrence of wildfires; therefore, it is necessary to perform smoke…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: smoke detection, remote sensing, scene classification, feature aggregation, wildfire, Global2Salient
During the summer 2017 ASCENDS/ABoVE airborne science campaign, the NASA Goddard CO2 Sounder lidar overflew smoke plumes from wildfires in the British Columbia, Canada. In the flight path over Vancouver Island on 8 August 2017, the column XCO2 retrievals from the lidar…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: CO2 - carbon dioxide, British Columbia, Canada, 2017 fire season, LiDAR - Light Detection and Ranging, remote sensing, wildfires, carbon fluxes
In September 2020, extremely strong wildfires in the western United States of America (i.e., mainly in California) produced large amounts of smoke, which was lifted into the free troposphere. These biomass‐burning‐aerosol (BBA) layers were transported from the US west coast…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): California, International
Keywords: wildfires, biomass burning, aerosol, LiDAR - Light Detection and Ranging, remote sensing, Aeolus
Background
Wildland fire (wildfire; bushfire) pollution contributes to poor air quality, a risk factor for premature death. The frequency and intensity of wildfires are expected to increase; improved tools for estimating exposure to fire smoke are vital. New-generation satellite…
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, International, National
Keywords: wildfire, bushfire, remote sensing, health risk, AI - artificial intelligence, convolutional neural network, air quality, satellite imagery
The strong radiative effects of fire aerosols have been well accepted in the climate community. However, there have been few studies on the aerosol effects at a monthly to subseasonal range. We used the National Centers for Environmental Prediction (NCEP) reanalysis datasets and…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: Amazon forest fires, aerosols, La Nina, subseasonal, circulation anomalies, wavetrain, sea surface temperature anomaly
Here we present the results of satellite monitoring of wildfires in Australia for the period of 2001–2020. Annual and monthly dynamics of wildfire areas and CO and CO2 carbon-bearing trace gas emissions from wildfires have been analyzed for the whole territory of Australia based…
Person:
Year: 2021
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: satellite monitoring, remote sensing, anomalous wildfires, Australia, CO - carbon monoxide, CO2 - carbon dioxide, AIRS - atmospheric infrared sounder, drought, trace gas emissions, temperature anomalies