Type
Topic
Region
Year
Displaying 1 - 25 of 604
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
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
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
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
Wildfire activity in the western United States during August to October 2020 was exceptional in terms of the fire severity and area burned. Extremely dry biomass fuels from near historic multi-year drought conditions were further exacerbated with very hot and dry conditions in…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Occurrence, Mapping, Monitoring and Inventory
Region(s): California, Eastern, Northwest, Southern
Keywords: aerosol, remote sensing, AOD - aerosol optical depth, AERONET - Aerosol Robotic Network, PM2.5, PM - particulate matter, fine mode particulate mass, brown carbon, carbon absorbtion, extreme wildfires
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
The SCIENCEx webinar series brings together scientists and land management experts from across U.S. Forest Service research stations and beyond to explore the latest science and best practices for addressing large natural resource challenges across the country. These webinars…
Person:
Year: 2023
Type: Media
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, Restoration and Rehabilitation, Social Science, Weather, Wildland-Urban Interface (WUI)
Region(s): Alaska, California, Eastern, Great Basin, Hawaii, Northern Rockies, Northwest, Rocky Mountain, Southern, Southwest, National
Keywords:
The 2nd Alaska Fire Science Consortium (AFSC) Research-to-Operations (R2O) workshop convened May 12-13 at the University of Alaska Murie Building.The 1.5-day workshop was held following NASA ABoVE’s 8th Annual Science Team Meeting as an opportunity for researchers and managers…
Person:
Year: 2023
Type: Document
Source: FRAMES
Topic(s): Emissions and Smoke, Fire Behavior, Fire Ecology, Fire Effects, Fuels, Hazard and Risk, Mapping, Models, Monitoring and Inventory
Region(s): Alaska
Keywords: ABoVE - NASA Arctic-Boreal Vulnerability Experiment, soil moisture, vegetation, remote sensing, vegetation management, WFEIS - Wildland Fire Emissions Information System, combustion
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