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Effect of fuel spatial resolution on predictive wildfire models


Taneja, R and Hilton, J and Wallace, L and Reinke, K and Jones, S, Effect of fuel spatial resolution on predictive wildfire models, International Journal of Wildland Fire pp. 1-14. ISSN 1049-8001 (2021) [Refereed Article]


Copyright Statement

Copyright 2021 IAWF Open Access CC BY-NC-ND

DOI: doi:10.1071/WF20192


Computational models of wildfires are necessary for operational prediction and risk assessment. These models require accurate spatial fuel data and remote sensing techniques have ability to provide high spatial resolution raster data for landscapes. We modelled a series of fires to understand and quantify the impact of the spatial resolution of fuel data on the behaviour of fire predictive model. Airborne laser scanning data was used to derive canopy height models and percentage cover grids at spatial resolutions ranging from 2 m to 50 m for Mallee heath fire spread model. The shape, unburnt area within the fire extent and extent of fire areas were compared over time. These model outputs were strongly affected by the spatial resolution of input data when the length scale of the fuel data is smaller than connectivity length scale of the fuel. At higher spatial resolutions breaks in the fuel were well resolved often resulting in a significant reduction in the predicted size of the fire. Our findings provide information for practitioners for wildfire modelling where local features may be important, such as operational predictions incorporating fire and fuel breaks, and risk modelling of peri-urban edges or assessment of potential fuel reduction mitigations.

Item Details

Item Type:Refereed Article
Keywords:wildfire modelling, vegetation structure, airborne laser scanning, fuel sampling, Spark, Spatial resolution
Research Division:Engineering
Research Group:Geomatic engineering
Research Field:Photogrammetry and remote sensing
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Natural hazards
Objective Field:Climatological hazards (e.g. extreme temperatures, drought and wildfires)
UTAS Author:Wallace, L (Dr Luke Wallace)
ID Code:146340
Year Published:2021
Web of Science® Times Cited:2
Deposited By:Geography and Spatial Science
Deposited On:2021-08-31
Last Modified:2022-08-23
Downloads:8 View Download Statistics

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