%0 Journal Article %1 clarke1994cellular %A Clarke, Keith C %A Brass, James A %A Riggan, Philip J %D 1994 %I Falls Church, Va. American Society of Photogrammetry. %J Photogrammetric Engineering and Remote Sensing %K cellular_automata wildfire %N 11 %P 1355--1367 %T A cellular automation model of wildfire propagation and extinction %U http://scholar.google.com/scholar.bib?q=info:KEHPrSt9WfgJ:scholar.google.com/&output=citation&hl=en&ct=citation&cd=0 %V 60 %X We propose a new model to predict the spatial and temporal behavior of wildfires. Fire spread and intensity were simu- lated using a cellular automaton model. Monte Carlo tech- niques were used to provide fire risk probabilities for areas where fuel loadings and topography are known. The model assumes predetermined or measurable environmental varia- bles such as wind direction and magnitude, relative humid- ity, fuel moisture content, and air temperature. Implementation of the model allows the linking of fire moni- toring using remotely sensed data, potentially in real time, to rapid simulations of predicted fire behavior. Calibration of the model is based on thermal infrared remotely sensed im- agery of a test burn during 1986 in the San Dimas experi- mental forest. The model and its various implementations show distinct promise for real-time fire management and fire risk planning.

@article{clarke1994cellular, abstract = {We propose a new model to predict the spatial and temporal behavior of wildfires. Fire spread and intensity were simu- lated using a cellular automaton model. Monte Carlo tech- niques were used to provide fire risk probabilities for areas where fuel loadings and topography are known. The model assumes predetermined or measurable environmental varia- bles such as wind direction and magnitude, relative humid- ity, fuel moisture content, and air temperature. Implementation of the model allows the linking of fire moni- toring using remotely sensed data, potentially in real time, to rapid simulations of predicted fire behavior. Calibration of the model is based on thermal infrared remotely sensed im- agery of a test burn during 1986 in the San Dimas experi- mental forest. The model and its various implementations show distinct promise for real-time fire management and fire risk planning.}, added-at = {2014-05-28T14:41:46.000+0200}, author = {Clarke, Keith C and Brass, James A and Riggan, Philip J}, biburl = {https://www.bibsonomy.org/bibtex/2b077bd07efebb3de80d941644c8e3cf4/peter.ralph}, description = {The "Clarke wildfire model".}, interhash = {44b0b7c09879847d3e204b31712a5622}, intrahash = {b077bd07efebb3de80d941644c8e3cf4}, journal = {Photogrammetric Engineering and Remote Sensing}, keywords = {cellular_automata wildfire}, number = 11, pages = {1355--1367}, publisher = {[Falls Church, Va.] American Society of Photogrammetry.}, timestamp = {2014-05-28T14:41:46.000+0200}, title = {A cellular automation model of wildfire propagation and extinction}, url = {http://scholar.google.com/scholar.bib?q=info:KEHPrSt9WfgJ:scholar.google.com/&output=citation&hl=en&ct=citation&cd=0}, volume = 60, year = 1994 }