Mountain Pine Beetle (MPB)-induced changes in forest structure and hydrology are currently not accounted for in available fire management tools, but add significant complexity to fire management operations and pose a serious threat to firefighter safety. Using fused MODIS/Landsat data, we will develop a system for near real-time mapping of the distribution and conditions of MPB-induced changes in forest structure. Intensified Forest Inventory and Analysis Grid plot data that were remeasured following a massive MPB outbreak will be used to validate remotely sensed estimates of canopy change. We will improve fuel moisture models and resulting wildfire danger indices by accounting for earlier snowmelt in MPB-affected forests with estimates of snow-free date from MODIS snow cover data. Additionally, a network of inexpensive ibutton temperature sensors (co-located with vegetation plots from 2009-2011) will be used to further downscale North American Land Data Assimilation System (NLDAS-2) gridded meteorological data to account for cold air drainage and the influences of solar insolation on temperature. Downscaled daily NLDAS-2 data will then be used to calculate fuel moistures and fire danger indices. Using next generation fire behavior simulations we will estimate potential fire hazard, accounting for MPB and topographically-induced variations in fuel moisture and canopy condition. These outputs will be integrated into real-time maps of potential fire hazard that will be made available to fire managers through the Wildland Fire Assessment System and the US Forest Service Northern Region Common Operation Picture. Products developed through this work will be directly integrated into wildland fire decision support tools in the Northern Rockies and serve as a prototype for expanding fire hazard monitoring across the western United States.