An approach to integrated data management for three-dimensional, time-dependent fire behaviour model evaluation
Derek McNamara A C and William Mell B
+ Author Affiliations
- Author Affiliations
A Geospatial Measurement Solutions, LLC, 2149 Cascade Avenue Ste 106A, PMB 240 Hood River, OR 97031, USA.
B United States Forest Service, Pacific Wildland Fire Sciences Lab, 400 N 34th St, Suite 201, Seattle, WA 98103, USA.
C Corresponding author. Email: dmgeo@gmsgis.com
International Journal of Wildland Fire 30(12) 911-920 https://doi.org/10.1071/WF21021
Submitted: 13 February 2021 Accepted: 24 September 2021 Published: 29 October 2021
Abstract
The advancement of three-dimensional, time-dependent fire behaviour models is best supported by publicly available, co-located, synchronised, quality-assured measures of pre-fire, active fire and post-fire conditions (i.e. integrated datasets). Currently, there is a lack of such datasets. Consequently, we discuss essential components to produce integrated datasets: metadata, implementation of geospatial and temporal standards, data management plans, quality assurance project plans and data quality objectives. We present example data quality objectives and a data model for grassland experiments developed based on our experience integrating data from the 2014 Camp Swift Fire and the 2012 Prescribed Fire Combustion and Atmospheric Dynamics Research experiments.
Keywords: research fires, quality control, combustion, fire model, physics-based, time-dependent, quality assurance, geospatial data standards.
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