Type
Topic
Region
Year
Displaying 1 - 25 of 853
The technologies and models based on machine vision are widely used for early wildfire detection. Due to the broadness of wild scene and the occlusion of the vegetation, smoke is more easily detected than flame. However, the shapes of the smoke blown by the wind change…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: wildland fire, smoke detection, wildfire, BiFPN - bidirectional feature pyramid network, Swin Transformer, feature enhancement
A wildfire smoke detection system using unmanned aerial vehicle images based on the optimized YOLOv5
Wildfire is one of the most significant dangers and the most serious natural catastrophe, endangering forest resources, animal life, and the human economy. Recent years have witnessed a rise in wildfire incidents. The two main factors are persistent human interference with the…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: wildfire detection, forest fire, UAV - unmanned aerial vehicles, drone images, YOLOv5, deep learning, CNN - convolution neural network, smoke detection
Satellite remote sensing of aerosol optical depth (AOD) is essential for detection, characterization, and forecasting of wildfire smoke. In this work, we evaluate the AOD (550 nm) retrievals during the extreme wildfire events over the western U.S. in September 2020. Three…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): California
Keywords: AOD - aerosol optical depth, MODIS - Moderate Resolution Imaging Spectroradiometer, VIIRS - Visible Infrared Imaging Radiometer Suite, retrieval, wildfire, MAIAC - Multi‐angle Implementation of Atmospheric Correction, AERONET - Aerosol Robotic Network
PurpleAir particulate matter (PM) sensors are increasingly used in the United States and other countries for real-time air quality information, particularly during wildfire smoke episodes. Uncorrected PurpleAir data can be biased and may exhibit a nonlinear response at extreme…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Monitoring and Inventory
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: air sensors, PurpleAir, PM2.5, PM - particulate matter, AQI - Air Quality Index, error correction, evaluation, wildfire
In southern Africa, drier conditions are more pronounced during the El Niño Southern Oscillation (ENSO) years, triggering wildfire activity and extreme drought conditions which, individually or together, lead to loss of crop productivity, deaths of livestock and wildlife, famine…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: ENSO - El Nino Southern Oscillation, wildfires, southern Africa, MODIS - Moderate Resolution Imaging Spectroradiometer, remote sensing
A compact and sensitive dual-gas laser absorption sensor was developed for smoldering peat fire detection by real-time monitoring of transient CO2 and CH4 emissions from peat combustion exhaust. The sensor combines two infrared lasers to exploit CH4 and CO2 absorption lines…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): International
Keywords: absorption spectroscopy, wavelength modulation spectroscopy, smoldering combustion, peat fire, CO2 - carbon dioxide, CH4 - methane, fire detection
Heterocyclic aromatic amines (HAAs) are carcinogenic and mutagenic compounds formed by the cooking of meat and combustion of biomass. There are relatively few data on HAAs in atmospheric particulate matter (PM). We developed an analytical method using high performance liquid…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): California
Keywords: PM - particulate matter, atmospheric particulate matter, heterocyclic aromatic amines, wildfire, HPLC-MS/MS - high-performance liquid chromatography-tandem mass spectrometry
Polycyclic aromatic hydrocarbons (PAHs) are a class of compounds containing multiple aromatic rings formed during incomplete combustion. Since many of them are known mutagens and carcinogens, PAHs found in the particulate matter (PM) from the wildfire smoke may pose significant…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Monitoring and Inventory
Region(s): California
Keywords: wildfire, PAH - polycyclic aromatic hydrocarbons, PM - particulate matter, DART-MS - direct analysis in real-time mass spectrometry, PM2.5, PM10, biomass burning, smoke exposure
Forest/wildfires have been one of the most notable severe catastrophes in recent decades across the globe, and their intensity is expected to rise with global warming. Forest fire contributes significantly to particulate and gaseous pollution in the atmosphere. This study has…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: forest fire, wildfire, MODIS - Moderate Resolution Imaging Spectroradiometer, burn area, spatio-temporal, variation, Himalaya, GFED - Global Fire Emissions Database
To collect partner and employee input on the Wildfire Crisis Strategy 10-year Implementation Plan, the Forest Service and National Forest Foundation hosted a series of roundtable discussions in the winter and spring of 2022. Individual roundtables were focused on each of the…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Aquatic, Climate, Economics, Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fire History, Fire Occurrence, Fire Prevention, Fuels, Hazard and Risk, Mapping, Models, Monitoring and Inventory, Outreach, Planning, Prescribed Fire, Regulations and Legislation, Restoration and Rehabilitation, Safety, Social Science, Wildland-Urban Interface (WUI)
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: climate change, fire-adapted communities, fireshed, forest health, fuel treatment, ignition, land management, National Cohesive Wildland Fire Management Strategy (Cohesive Strategy), resilience, wildfires, Wildfire Crisis Strategy, trusted communicators, shared stewardship, equity, ITEK - Indigenous Traditional Ecological Knowledge
Cairpol and Aeroqual air quality sensors measuring CO, CO2, NO2, and other species were tested on fresh biomass burning plumes in field and laboratory environments. We evaluated the sensors by comparing 1 min sensor measurements to collocated reference instrument measurements.…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Monitoring and Inventory
Region(s): Northern Rockies, Rocky Mountain
Keywords: sensors, CO2 - carbon dioxide, CO - carbon monoxide, NO2 - nitrogen dioxide, wildland fire, wildfire, biomass burning, Cairpol, Aeroqual, air quality
Wildfire emissions are a key contributor of carbonaceous aerosols and trace gases to the atmosphere. Induced by buoyant lifting, smoke plumes can be injected into the free troposphere and lower stratosphere, which by consequence significantly affects the magnitude and distance…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Aviation, Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): California, Great Basin, Northern Rockies, Northwest, Rocky Mountain, Southwest
Keywords: biomass burning, inverse modeling, airborne lidar, LiDAR - Light Detection and Ranging, plume rise, WRF-Chem
Major wildfires and heatwaves have begun to increase in frequency throughout much of the United States, particularly in western states such as California, causing increased risk to public health. Air pollution is exacerbated by both wildfires and warmer temperatures, thus adding…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Climate, Emissions and Smoke, Monitoring and Inventory, Safety, Social Science
Region(s): California
Keywords: climate change, PM - particulate matter, PM2.5, heatwaves, air pollution, PurpleAir, compound risk, public health, environmental justice
Field-based sampling can provide more accurate evaluation than MODIS in regional biomass burning (BB) emissions given the limitations of MODIS on unresolved fires. Polyurethane foam-based passive air samplers (PUF-PASs) are a promising tool for collecting atmospheric…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): International
Keywords: biomass burning, MODIS - Moderate Resolution Imaging Spectroradiometer, PUF-PAS - polyurethane foam-based passive air sampler, Indo-China Peninsula, levoglucosan, lignin, top-down emission estimations
This study analyzed the characteristics of changes in O3 concentration in a plume induced by a wildfire in Andong, South Korea, from 24 to 26 April 2020, using the Community Multi-scale Air Quality (CMAQ) model. Fire INventory from National Center for Atmospheric Research (FINN…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Models, Monitoring and Inventory
Region(s): International
Keywords: South Korea, CMAQ - Community Multiscale Air Quality Modeling System, biomass burning, wildfire, O3 - ozone, chemistry, process analysis, FINN - Fire Inventory of NCAR
Biomass burning is an important and changing component of global and hemispheric carbon cycles. Boreal forest fires in Russia and Canada are significant sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4). The influence of carbon monoxide (CO) on the…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: Canada, Russia, boreal forest, boreal fire, wildfires, thermal infrared, satellite data, CO2 - carbon dioxide, CO - carbon monoxide, AIRS - atmospheric infrared sounder, CH4 - methane
Megafires occurred in Australia during the 2019/2020 bushfire season, leading to enhanced concentrations of many tropospheric pollutants. Here, we report on a fire plume with unusually high and persistent nitrous acid (HONO) levels that we could track during one day at free…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Monitoring and Inventory
Region(s): International
Keywords: HONO - nitrous acid, biomass burning, remote sensing, CO - carbon monoxide, 2019/2020 Australian wildfires
Smoke aerosol emissions from Indonesian fires frequently cause adverse environmental consequences across southeast Asia. Satellite observations provide us with a great opportunity to monitor such emissions at large scales. However, existing satellite-based estimates of…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Monitoring and Inventory
Region(s): International
Keywords: FRP - Fire Radiative Power, smoke aerosols, AHI - Advanced Himawari Imaginer, VIIRS - Visible Infrared Imaging Radiometer Suite, peatlands, Indonesia, land-use changes, FRE - Fire Radiative Energy
NOx fire emissions greatly affect atmosphere and human society. The top-down NOx fire emission estimation is highly influenced by satellite fire observation performance (e.g., fire detection) by affecting the derivation of emission coefficient (EC) and fire radiative power (FRP…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Monitoring and Inventory
Region(s): International
Keywords: FRP - Fire Radiative Power, fire observation performance, nitrogen oxides, MODIS - Moderate Resolution Imaging Spectroradiometer, VIIRS - Visible Infrared Imaging Radiometer Suite, China, Siberia, Mongolia
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
Black (EBC) and Brown (BrC) Carbon are ubiquitous constituents of atmospheric particulate matter that affect people’s health, disrupt ecosystems, and modulate local and global climate. Tracking the local deposition and sources of these aerosol particles is essential to better…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): Southwest, International
Keywords: black carbon, brown carbon, troposphere, wildfires, PAX - photoacoustic extinctiometer, HYSPLIT - Hybrid Single-Particle Lagrangian Integrated Trajectory, planetary boundary layer, HRRR - High Resolution Rapid Refresh
Deep-learning (DL)-based object detection algorithms can greatly benefit the community at large in fighting fires, advancing climate intelligence, and reducing health complications caused by hazardous smoke particles. Existing DL-based techniques, which are mostly based on…
Person:
Year: 2022
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: wildfire, incipient stage, smoke density, detection, deep learning, computer vision, encoder–decoder Transformer, direct set prediction, attention mechanism, benchmarks, Nemo - Nevada Smoke detection benchmark
Wildfire severity is a key indicator of both direct ecosystem impacts and indirect emissions impacts that affect air quality, climate, and public health far beyond the spatial footprint of the flames. Comprehensive, accurate inventories of severity and emissions are essential…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Monitoring and Inventory
Region(s): California
Keywords: burn severity, emissions inventory, fire progression maps, GEE - Google Earth Engine, WBSE - Wildfire Burn Severity and Emissions Inventory, dNBR - differenced Normalized Burn Ratio, CBI - composite burn index
Smoke plumes are the first things seen from space when wildfires occur. Thus, fire smoke detection is important for early fire detection. Deep Learning (DL) models have been used to detect fire smoke in satellite imagery for fire detection. However, previous DL-based research…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: remote sensing, multispectral satellite imagery, smoke detection, fire detection, moderate spatial resolution, deep learning, CNN - convolution neural network, MODIS - Moderate Resolution Imaging Spectroradiometer
Persistent and intensive wildland dense-fires (DFs) release substantial amounts of airborne pollutants, resulting in a sharp increase in emissions and leading to serious impacts on the environment and human health over extensive geographical areas. It is challenging to…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: machine learning, MODIS - Moderate Resolution Imaging Spectroradiometer, FINN - Fire Inventory of NCAR, wildfire, density-based clustering, human-caused fires, Indochina Peninsula