Year of Award
Master of Science (MS)
Department or School/College
College of Forestry and Conservation
LLoyd Queen, Ragan Callaway
biomass removal, chamise, fire behavior inputs, fuel bed model, LiDAR, voxel array, sagebrush, volumetric model
University of Montana
The purpose of this study was to spatially represent shrub fuel matrices accurately and at fine resolution for use in physics-based fire behavior simulations. Terrestrial Light Detection and Ranging (T-LiDAR) was used to measure shrub fuel beds in laboratory settings before and after fire burned through them. The primary goals of this research were to produce highly descriptive data-sets that correctly identified the locations of biomass within 3-D space without destructive sampling, and to derive attributes for fuel elements within the shrubs. This research was completed in two phases. First, a series of experiments was conducted to test the capacity of a commercially available LiDAR instrument for making detailed measurements of diffuse shrubs. Second, model shrub fuel beds were produced and evaluated for accuracy. The research tested the T-LiDAR’s ability to characterize physical traits of shrubs within volumes, identified issues associated with misrepresenting the true geometry of scanned samples, developed sampling protocols for scanning shrubs prior to and following combustion experimentation, and built descriptive models of actual shrubs. The findings of this study show that T-LiDAR can be used effectively to estimate volume, structure, and biomass for individual shrubs. T-LiDAR derived models were shown to accurately predict mass of scanned shrubs (Adj. R2: 0.598, P-Value: 0.0012). The models produced show vast improvements from past estimations of physiological characteristics in fuels and fire behavior.
Adams, Theodore, "USING TERRESTRIAL LIDAR TO MODEL SHRUBS FOR FIRE BEHAVIOR SIMULATION" (2014). Graduate Student Theses, Dissertations, & Professional Papers. 4173.
© Copyright 2014 Theodore Adams