Assessing the potential for evaluation of wildland fire models using remotely sensed data—Summary proceedings from a U.S. Geological Survey workshop in 2024
Year: 2025
Type: report
Abstract: On September 19, 2024, the U.S. Geological 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 National Civil Applications Center, USGS Earth Resources Observation and Science Center, and USGS Fort Collins Ecosystem Science Center presented information on remote sensing datasets for three Arizona wildfire case studies.The development teams of the Fire Dynamics Simulator and QUIC-Fire fire behavior models presented their models and current evaluation methodologies.Interspersed with these presentations were discussions regarding how to expand current wildfire remote sensing data collection efforts beyond operational needs to assist in future fire modeling.Workshop participants agreed that several of the remote sensing datasets have potential for wildfire model evaluation.However, participants also identified several barriers and
Source: Scientific investigations report
DOI: 10.3133/sir20255053
Language: English
Topic: Fire effects on ecosystems
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: bronze
OpenAlex ID: W4411791538