Pixel-Level Statistical Analyses of Prescribed Fire Spread
Cellular Automata and Lattice Gases
2017-12-14 v1 Probability
Atmospheric and Oceanic Physics
Abstract
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.
Keywords
Cite
@article{arxiv.1712.04498,
title = {Pixel-Level Statistical Analyses of Prescribed Fire Spread},
author = {Miles Currie and Kevin Speer and Kevin Hiers and Joseph O'Brien and Scott Goodrick and Bryan Quaife},
journal= {arXiv preprint arXiv:1712.04498},
year = {2017}
}
Comments
14 pages, 7 figures, 2 tables