  Wildland fire dynamics is a complex turbulent dimensional process. Cellular
automata (CA) is an efficient tool to predict fire dynamics, but the main
parameters of the method are challenging to estimate. To overcome this
challenge, we compute statistical distributions of the key parameters of a CA
model using infrared images from controlled burns. Moreover, we apply this
analysis to different spatial scales and compare the experimental results to a
simple statistical model. By performing this analysis and making this
comparison, several capabilities and limitations of CA are revealed.
