Understory

Menakis JP. 2008. Mapping wildland fire potential for the conterminous United States. Paper presented at RS-2008: Twelfth Biennial USDA Forest Service Remote Sensing Applications Conference April 15-17, 2008, Salt Lake City, Utah.

The Rocky Mountain Research Station staff, and NWCG Incident and Position Standards (IPSC), Risk Management (RMC), and Fire Environment (FENC) committees are soliciting feedback on the proposed new guideline for safe separation distance between the firefighter and the flames and associated safety zone size.

We demonstrate the use of a deep learning (DL) approach for representing the behavior of a high-resolution physics-based wildland fire spread model. The ultimate objective is being able to efficiently use the DL model for intensive simulations of large fires while retaining fidelity to the fine-scale physical processes. We begin with a fire model that reduces the spatial domain of the fire spread problem to one dimension (1D). The 1Dmodel explicitly resolves cm-scale fuel variations, heat transfer and heating/drying dynamics of individual fuel particles and burning behavior of the bed. We then...