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Advanced fire models can represent interactions among fuels, wind, terrain, and combustion in increasing detail, but evaluating their predictions requires observations at compatible scales. These proceedings examine how remotely sensed data might help meet that need.
The report summarises a September 2024 workshop bringing together remote-sensing specialists and developers of next-generation wildland fire models. Discussions considered datasets for three Arizona wildfires and the evaluation methods used with the Fire Dynamics Simulator and QUIC-Fire. Participants identified gaps in observations, differences in spatial and temporal resolution, uncertainties in image interpretation, and the need for ground-based validation.
First published in 2025, the complete proceedings include the workshop aims, methods, discussion, conclusions, glossary, participant list, and references. They provide a focused account of the practical questions that arise when sophisticated computer simulations are tested against measurements gathered for other operational or scientific purposes.
Sophie R. Bonner; Kurtis Nelson; Peter G. Rinkleff; Chad M. Hoffman; Paul F. Steblein. Assessing the Potential for Evaluation of Wildland Fire Models Using Remotely Sensed Data—Summary Proceedings from a U.S. Geological Survey Workshop in 2024. U.S. Geological Survey, 2025. https://doi.org/10.3133/sir20255053. Public domain U.S. Government publication. Original agency, author and photograph credits retained.