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Effect of fuel spatial resolution on predictive wildfire models

Ritu Taneja A B D , James Hilton https://orcid.org/0000-0003-3676-0880 B , Luke Wallace C , Karin Reinke A and Simon Jones A
+ Author Affiliations
- Author Affiliations

A Geospatial Science, RMIT University, Melbourne, Vic. 3001, Australia.

B CSIRO Data61, Private Bag 10, Clayton South, Vic. 3169, Australia.

C School of Geography, Planning and Spatial Sciences, University of Tasmania, Hobart, Tas. 7015, Australia.

D Corresponding author. Email: s3704716@student.rmit.edu.au

International Journal of Wildland Fire 30(10) 776-789 https://doi.org/10.1071/WF20192
Submitted: 3 January 2021  Accepted: 26 July 2021   Published: 26 August 2021



11 articles found in Crossref database.

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Loss functions for spatial wildfire applications
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Effects of Vegetation Belt Movement on Wildfire in the Mongolian Plateau over the Past 40 Years
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Fuel Drivers of Fire Behaviour in Coastal Mallee Shrublands
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Fire. 2024 7(4). p.128
Conceptual Model for Integrated Meso-Scale Fire Risk Assessment in the Coastal Catchments in Croatia
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Remote Sensing. 2024 16(12). p.2118
RADAR-Vegetation Structural Perpendicular Index (R-VSPI) for the Quantification of Wildfire Impact and Post-Fire Vegetation Recovery
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Generating fuel consumption maps on prescribed fire experiments from airborne laser scanning
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