Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling

International Journal of Wildland Fire
By: , and 



Predicting wildfires that affect broad landscapes is important for allocating suppression resources and guiding land management. Wildfire prediction in the south-western United States is of specific concern because of the increasing prevalence and severe effects of fire on desert shrublands and the current lack of accurate fire prediction tools. We developed a fire risk model to predict fire occurrence in a north-eastern Mojave Desert landscape. First we developed a spatial model using remote sensing data to predict fuel loads based on field estimates of fuels. We then modelled fire risk (interactions of fuel characteristics and environmental conditions conducive to wildfire) using satellite imagery, our model of fuel loads, and spatial data on ignition potential (lightning strikes and distance to roads), topography (elevation and aspect) and climate (maximum and minimum temperatures). The risk model was developed during a fire year at our study landscape and validated at a nearby landscape; model performance was accurate and similar at both sites. This study demonstrates that remote sensing techniques used in combination with field surveys can accurately predict wildfire risk in the Mojave Desert and may be applicable to other arid and semiarid lands where wildfires are prevalent.

Study Area

Publication type Article
Publication Subtype Journal Article
Title Estimating wildfire risk on a Mojave Desert landscape using remote sensing and field sampling
Series title International Journal of Wildland Fire
DOI 10.1071/WF12158
Volume 22
Issue 6
Year Published 2013
Language English
Publisher CSIRO Publishing
Publisher location Collingwood, Victoria, Australia
Contributing office(s) Western Ecological Research Center
Description 10 p.
Larger Work Type Article
Larger Work Subtype Journal Article
Larger Work Title International Journal of Wildland Fire
First page 770
Last page 779
Country United States
Other Geospatial Mojave Desert
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