FastFuels: Advancing wildland fire modeling with high-resolution 3D fuel data and data assimilation

Anthony Marcozzi; Lucas Wells; Russell A. Parsons; Eric Mueller; Rodman Linn; J. Kevin Hiers

doi:10.1016/j.envsoft.2024.106214

Treesearch

FastFuels: Advancing wildland fire modeling with high-resolution 3D fuel data and data assimilation

Formally Refereed

Authors:

Anthony Marcozzi, Lucas Wells, Russell A. Parsons, Eric Mueller, Rodman Linn, J. Kevin Hiers

Year:

2025

Type:

Scientific Journal

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.1016/j.envsoft.2024.106214

Source:

Environmental Modelling and Software. 183: 106214.

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Abstract

Acquiring detailed 3D fuel data for advanced fire models remains challenging, particularly at large scales. To address this need, we present FastFuels, a novel platform designed to generate detailed 3D fuel data and accelerate the use of advanced fire models. FastFuels integrates existing fuel and spatial data with innovative modeling techniques to represent complex 3D fuel arrangements across landscapes. It leverages data sources including the Forest Inventory and Analysis (FIA) database and plot imputation maps, and incorporates advanced features such as data assimilation from LiDAR. This research demonstrates FastFuels’ capabilities through two applications: evaluating fuel treatment effectiveness with the Fire Dynamics Simulator and simulating a prescribed fire operation using QUIC-Fire. FastFuels provides previously unavailable 3D fuel data at landscape scales, empowering informed decision-making, detailed investigations of fuel treatment impacts, and higher-resolution risk assessments. Its flexible data assimilation and model-agnostic outputs accelerate advanced fire science and support fire management decisions.

Keywords

fuel modeling, remote sensing, wildfire modeling, wildland fire, prescribed fire

Citation

Marcozzi, Anthony; Wells, Lucas; Parsons, Russell; Mueller, Eric; Linn, Rodman; Hiers, J. Kevin. 2025. FastFuels: Advancing wildland fire modeling with high-resolution 3D fuel data and data assimilation. Environmental Modelling and Software. 183: 106214.