Abstract

We have developed an automated process that provides a coarse-scale risk assessment for wildland fire occurring in the Yukon, Canada. This computational model takes into account the fuel environment, values at risk, and Yukon's Fire Management Zones to perform a local risk analysis for any fire in real-time. The calibrated sum of the calculated risk values is assigned a relative rating (low, moderate, high, very high, extreme) to be incorporated into Yukon Wildland Fire Management's decision-making process. I will discuss this model along with another operational tool that we have piloted in the Yukon, an automated fire growth model called FireCast. Overall, this work is an example of the value and importance of integrating researchers into operations in a fire management agency.