Type
Topic
Region
Year
Displaying 1 - 25 of 35
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
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
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
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
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
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
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
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
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
Devastating forest fires occurred in the southwestern part of Turkey in summer 2021. Besides the fire itself, air quality standards also drastically dropped. Mugla and Antalya were affected the most by the forest fires. Also, precipitable water vapour (PWV) values show different…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: Turkey, GPS - global positioning system, PWV - precipitable water vapor, PM - particulate matter, PM10, forest fires, air quality
Uncontrolled wildfires in Australian temperate Eucalyptus forests produce significant smoke emissions, particularly carbon dioxide (CO2) and particulates. Emissions from fires in these ecosystems, however, have received less research attention than the fires in North American…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping
Region(s): International
Keywords: wildfire, Australia, PM - particulate matter, pyroCb, eucalyptus, GFED - Global Fire Emissions Database, FullCAM, CO2 - carbon dioxide, PM2.5, fire severity
We present a novel passive satellite remote sensing approach for observing the three-dimensional distribution of aerosols emitted from wildfires. This method, called AEROS5P, retrieves vertical profiles of aerosol extinction from cloud-free measurements of the TROPOMI satellite…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: fine particulate matter, PM - particulate matter, biomass burning, black carbon, Australia, aerosol extinction vertical profile, 3D distribution of aerosols, bushfire, wildfire, TROPOMI - TROPOspheric Monitoring Instrument, aerosol injection height, AEROS5P
The severity of wildfires is increasing globally. In this study, we used data from the Global Change Observation Mission-Climate/Second-generation Global Imager (GCOM-C/SGLI) to characterize the biomass burning aerosols that are generated by large-scale wildfires. We used data…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory, Weather
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: SCALE - Scalable Computing for Advanced Library and Environment, GCOM - Global Change Observation Mission-Climate, SGLI - Second-generation Global Imager, AERONET - Aerosol Robotic Network, radiative transfer models, polarizations
Stratospheric injections of carbonaceous aerosols and combustion gases by extreme wildfires have become increasingly common. Recent “megafires,” particularly large and intense fires, delivered particulate burdens to the lower stratosphere comparable to those of moderate volcanic…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: Canada, Australia, megafires, pyrocumulonimbus clouds, stratospheric intrusions, wildfires, satellite observations, stratospheric injections, smoke plumes, Community Earth System Model, GEOS5 - Goddard Earth Observing System-Version 5
An extreme biomass burning event occurred in the Amazonian rainforest from July through September 2019 due to the extensive wildfires used to clear the land, which allowed for more significant forest burning than previously occurred. In this study, we reclustered the clear-sky…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Effects, Mapping, Monitoring and Inventory
Region(s): International
Keywords: satellite remote sensing, Amazon, wildfire, black carbon, direct radiative forcing, aerosol optical properties, Amazonia, aerosol radiative forcing, AOD - aerosol optical depth, Amazonian rainforest
In this study, atmospheric dynamical processes, which govern the intensification of wildfire activity and the associated increase in low-level ozone concentrations, were studied using images, advanced products and vertical profiles derived from satellite observations. The…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: stratospheric intrusions, wildfires, O3 - ozone, ozone concentrations, satellite observations, water vapor imagery, Croatia, Italy
Early detection of smoke having indistinguishable pixel intensities in digital images is a difficult task. To better maintain fire surveillance, early smoke detection is crucial. To solve the problem, we have integrated the principal component analysis (PCA) as a pre-processing…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models
Region(s): International
Keywords: YOLOv3, principal component analysis, smoke detection, image processing, China
Part of the Science You Can Use Spring 2022 Webinar Series sponsored by the Rocky Mountain Research Station
Forest managers increasingly require statistically grounded estimates of forest carbon storage at the resolution of individual ownerships (a few thousand acres). Carbon…
Person: Healey, Yang
Year: 2022
Type: Media
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Models, Monitoring and Inventory
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords: carbon cycle, C - carbon, carbon storage, OBIWAN - Online Biomass Inference using Waveforms and iNventory, LiDAR - Light Detection and Ranging, carbon offsets, GEDI - Global Ecosystem Dynamics Investigation
Research into pyrogenic carbon emissions in the temperate belt of the Russian Federation has traditionally focused on the impact of forest fires. Nevertheless, ecosystems in which wildfires also make a significant contribution to anthropogenic CO2 emissions are poorly studied.…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: Russia, PyC - pyrogenic carbon, remote sensing, non-forested ecosystems, forest fires, wildfires, CO2 emissions
In this study, we investigate the emissions from wildfires in the mid latitude (California) and high latitude (Krasnoyarsk Krai) during the periods of 16–17 August 2020 and 28 July 2019, respectively. Wildfires are unique in themselves as they are driven by various factors such…
Person:
Year: 2022
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): California, International
Keywords: aerosols, biomass burning, remote sensing, satellites, CO - carbon monoxide, black carbon, air pollutants, CALIPSO, TROPOMI - TROPOspheric Monitoring Instrument