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Topic
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Displaying 1 - 25 of 265
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
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
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
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
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
Wildland fires are one of the most dangerous natural risks, causing significant economic damage and loss of lives worldwide. Every year, millions of hectares are lost, and experts warn that the frequency and severity of wildfires will increase in the coming years due to climate…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Mapping
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, International, National
Keywords: fire detection, fire spread, damage severity, wildfires, satellite, deep learning, remote sensing
The damage caused by forest fires to humans and the environment cannot be ignored. However, there are few works about the traceability of tree smoke in current time. In this paper, a new system of laser-induced breakdown spectroscopy (LIBS) combined with machine learning was…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: LIBS - laser-induced breakdown spectroscopy, forest fires, wildfires, source tracing, principal component analysis, BP-ANN - back propagation artificial neural networks
Smoke pollution from landscape fires is a major health problem, but it is difficult to predict the impact of any particular fire. For example, smoke plumes can be mapped using remote sensing, but we do not know how the smoke is distributed in the air-column. Prescribed burning…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Prescribed Fire
Region(s): International
Keywords: PM - particulate matter, wildfires, smoke plume, health impacts, air quality, Australia
The vast Angara region, with an area of 13.8 million ha, is located in the southern taiga of central Siberia, Russia. This is one of the most disturbed regions by both fire and logging in northern Asia. We have developed surface and ground fuel-load maps by integrating satellite…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fuels, Hazard and Risk, Mapping
Region(s): International
Keywords: boreal forests, Siberia, Angara region, clearcuts, surface fuels, ground fuels, fuel load
Wildfires negatively affect the atmosphere and ecological environment. The rapid identification of smoke is helpful for early fire detection and positioning, which are significant for fire early warning, fire point tracing, and atmospheric environment monitoring. The purpose of…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Models, Monitoring and Inventory
Region(s): International
Keywords: smoke detection, concentration, inversion, Mahalanobis distance, fire detection, fire positioning, satellite imagery
Forests are exposed to changing climatic conditions reflected by increasing drought and heat waves that increase the risk of wildfire ignition and spread. Climatic variables such as rain and wind as well as vegetation structure, land configuration and forest management practices…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Mapping, Monitoring and Inventory
Region(s): International
Keywords: forest fire, wildfire, greenhouse gases, satellite images, dNBR - differenced Normalized Burn Ratio, burning efficiency
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
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
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
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
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