Category: Sociopolitical Research
Title: Fuels and Fire Behavior Modeling Using Remotely Sensed Data on the San Francisco Peaks, Arizona
Author: * Crouse, J.E.
Subject: Fuels, Fire behavior, San Francisco Peaks
Abstract: Multi-date Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite imagery was classified to develop data layers for a portion of the San Francisco Peaks in northern Arizona. The data layers were developed to be used as inputs to fire simulation models. Pair-wise comparisons of all mapped layers showed that only four layers were statistically different. Kappa analysis showed that twenty-four of the thirty-nine classified layers were statistically better than chance. Crown fire activity was modeled using the FlamMap fire simulation program. Simulations were run using 10, 40, and 70 km/hr wind speeds. Area of active crown fire increased by 221(percent) between the 10 and 70 km/hr wind speed scenarios. At the landscape-level, mean patch size of active crown fire increased over 700(percent) from the 10 to 70 km/hr wind speed scenarios and the number of patches decreased by 60(percent) between 10 and 70 km/hr wind speed scenarios. At the class-level, active crown fire mean patch size increased slightly in all five forest types (aspen, bristlecone pine, mixed conifer, ponderosa pine, and spruce-fir) with increasing wind speed. The number of patches increased, at the class-level, between the 10 and 40 km/hr wind speed scenarios but tended to decrease between the 40 and 70 km/hr wind speed scenarios. An Erosion Index model to identify areas that had a high potential for erosion was created using slope, coarse woody debris (1000 hour sound and rotten fuels), and heat/area layers created in 10, 40, and 70 km/hr wind speed simulations, as inputs.
Source: Masters Thesis
Publisher: NAU School of Forestry, http://www.for.nau.edu