Research Database
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Fire Intensity and spRead forecAst (FIRA): A Machine Learning Based Fire Spread Prediction Model for Air Quality Forecasting Application
Year: 2025
Fire activities introduce hazardous impacts on the environment and public health by emitting various chemical species into the atmosphere. Most operational air quality forecast (AQF) models estimate smoke emissions based on the latest available satellite fire products, which may not represent real-time fire behaviors without considering fire spread. Hence, a novel machine learning (ML) based fire spread forecast model, the Fire Intensity and spRead forecAst (FIRA), is developed for AQF model applications. FIRA aims to improve the performance of AQF models by providing realistic, dynamic fire…
Publication Type: Journal Article
The role of fuel treatments during incident management
Year: 2025
BackgroundForest fuel reduction treatments are intended to mitigate negative impacts from wildland fires, protect communities, and support firefighting. Understanding fuel treatment use is important for evaluating treatment effectiveness, which, in turn, can inform the strategic planning and design of treatments. A relatively understudied aspect of fuel treatments is how existing fuel treatments are incorporated into firefighting (i.e., incident management). In this paper, we explore how fuel treatments are used by firefighters and Incident Management Teams during fires …
fuels-reduction treatments, incident command system, firefighting, incident management teams, incident management teams
Publication Type: Journal Article
Geolces: Geospatial Support for Evaluating Wildland Firefighter Lookouts, Communications, Escape Routes, and Safety Zones
Year: 2025
Wildland firefighters play a critical role in managing the complex relationship between humans and fire. To reduce the inherent risks that come with this role, firefighters use safety protocols such as lookouts, communications, escape routes, and safety zones (LCES). Currently, LCES implementation is conducted on the ground with limited support from geospatial information, despite the protocol’s inherently spatial nature. This study introduces GeoLCES: an analytical framework designed to enhance LCES implementation using remote sensing and geospatial modeling. GeoLCES comprises three…
Publication Type: Journal Article