Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024
Survey (USGS) held a virtual workshop titled "Potential for Evaluation of Fire Models with Remote Sensing Data Workshop" to assess the feasibility of using remotely sensed datasets to evaluate next-generation wildland fire behavior models.Remote sensing and fire modelling experts gathered to: (1) assess the suitability of a variety of classified, commercial, and publicly available remotely sensed datasets for advancing fire model evaluation; (2) develop ideas on how to integrate remotely sensed data products with fire model inputs and outputs; and (3) identify any barriers and limitations to performing an evaluation of next-generation fire models.The USGS
Authors
- Sophie R. Bonner
- P. G. Rinkleff
- Paul F. Steblein
- Chad M. Hoffman (ORCID: https://orcid.org/0000-0001-8715-937X)
- Kurtis Nelson (ORCID: https://orcid.org/0000-0003-4911-4511)
Publication Details
- Journal
- Scientific investigations report
- Published
- 2025-01-01
- DOI
- https://doi.org/10.3133/sir20255053
- Primary Topic
- Fire effects on ecosystems
- Type
- article
Funders
- U.S. Department of Agriculture
- National Institute of Standards and Technology
- U.S. Forest Service
- Los Alamos National Laboratory