Real-Time Data Driven Wildland Fire Modeling
  We are developing a wildland fire model based on semi-empirical relations that estimate the rate of spread of a surface fire and post-frontal heat release, coupled with WRF, the Weather Research and Forecasting atmospheric model. A level set method identifies the fire front. Data are assimilated using both amplitude and position corrections using a morphing ensemble Kalman filter. We will use thermal images of a fire for observations that will be compared to synthetic image based on the model state. 
Jonathan D. Beezley, Soham Chakraborty, Janice L. Coen, Craig C.   Douglas, Jan Mandel, Anthony Vodacek, Zhen Wang