Fire · 2018 · 32 citations · 32 references
Natural SciencesEarth SciencesFire EcologyFire ManagementThermal AnalysisFire ModelingFire Spread ProcessesHeat Transfer In FiresInfrared Remote SensingThermal Remote SensingWildfire EcologyFire Spread ExperimentsFire Spread MechanismsFlame Front PropagationThermal Infrared ImagingThermal Infrared RadiationThermocouple InstrumentationThermocouple MeasurementWildfire Monitoring
Understanding wildfire rate of spread (RoS) is often a key objective of many fire behavior modelling and measurement exercises. Using instrumented moderate scale laboratory burns we provide an assessment of eight different methods of flame front RoS determination, including visible imagery (VIS) analysis techniques, use of thermocouple arrays, and four thermal infrared (IR) image analysis approaches. We are able to (1) determine how measurement approach influences derived RoS, and (2) recommend the best method to reproduce the accepted standard (Thermocouple Grid Array measurement) RoS without ground sampling. We find that derived RoS is statistically significantly influenced by the measurement approach, and that failing to fully account for directionality of the RoS may result in significant error. We identify one of the thermal infrared imaging methods (described in Paugam et al. 2013), as the most appropriate for providing rate and direction of spread at these scales of measurement.
32
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Douglas M. Bates, Martin Mächler, Benjamin M. Bolker et al. · Journal of Statistical Software · 2015 · 85.6K citations · Full text
Calculating and interpreting forest fire intensities
Martin E. Alexander · Canadian Journal of Botany · 1982 · 443 citations