The Fire and Smoke Model Evaluation Experiment—A Plan for Integrated, Large Fire–Atmosphere Field Campaigns [PDF]
The Fire and Smoke Model Evaluation Experiment (FASMEE) is designed to collect integrated observations from large wildland fires and provide evaluation datasets for new models and operational systems.
Susan Prichard +16 more
doaj +4 more sources
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection
The size and frequency of wildland fires in the western United States have dramatically increased in recent years. On high-fire-risk days, a small fire ignition can rapidly grow and become out of control.
Garrison Weeks Cottrell +2 more
exaly +3 more sources
Deep Learning Approach for Wildland Fire Recognition Using RGB and Thermal Infrared Aerial Image
Wildfires cause severe consequences, including property loss, threats to human life, damage to natural resources, biodiversity, and economic impacts. Consequently, numerous wildland fire detection systems were developed over the years to identify fires ...
Rafik Ghali, Moulay A. Akhloufi
doaj +2 more sources
Evidence for Wildland Fire Smoke Transport of Microbes from Terrestrial Sources to the Atmosphere and Back. [PDF]
AbstractSmoke from wildland fires contains more diverse, viable microbes than typical ambient air, yet little is known about the sources and sinks of smoke‐borne microorganisms. Data from molecular‐based surveys suggest that smoke‐borne microorganisms originate from material associated with the vegetation and underlying soils that becomes aerosolized ...
Bonfantine K +8 more
europepmc +4 more sources
A low-cost particulate matter (PM2.5) monitor for wildland fire smoke [PDF]
Wildfires and prescribed fires produce emissions that degrade visibility and are harmful to human health. Smoke emissions and exposure monitoring is critical for public and environmental health protection; however, ground-level measurements of smoke ...
S. Kelleher +3 more
doaj +4 more sources
Novel Recursive BiFPN Combining With Swin Transformer for Wildland Fire Smoke Detection
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 constantly and the smoke colors from different combustors vary greatly.
Yaqin Zhao
exaly +2 more sources
From combustion to consequence: respiratory health concerns from primary and aged smoke at the wildland–urban interface [PDF]
As climate conditions worsen, wildfires are occurring more often, scorching millions of acres of land and carrying both flames and smoke into urban environments.
Veronica L. Penuelas +3 more
doaj +2 more sources
Exposure metrics for smoke waves from wildland fires and their associations with preterm birth in California. [PDF]
Wildland fire smoke has been linked to preterm birth, but the relative contributions of exposure frequency, duration, and intensity remain unclear. We defined a smoke wave as two or more consecutive days with wildfire-specific particulate matter of aerodynamic diameter ≤ 2.5 microns ...
Picciotto S +6 more
europepmc +4 more sources
Measuring Acute Pulmonary Responses to Occupational Wildland Fire Smoke Exposure Using Exhaled Breath Condensate [PDF]
Anna Adetona +2 more
exaly +2 more sources
Wildland fires produce smoke plumes that impact air quality and human health. To understand the effects of wildland fire smoke on humans, the amount and composition of the smoke plume must be quantified.
Sam D. Faulstich +3 more
doaj +1 more source

