Plans for watershed rehabilitation after a wildfire must be developed and implemented as quickly as possible after containment to be effective. One of the most difficult inputs to generate is the assessment of how the wildfire affected the hydraulic properties of the soil, commonly referred to as burn severity. The methods for developing burn severity maps are typically manual, involving sketch mapping from helicopters and field surveys. Current airborne sources of imagery are either not quickly accessible and/or are expensive to acquire. The proposed project supports the refinement and validation of a next generation of imagery-based, bum severity maps that are rapidly available, unbiased, repeatable, and scientifically defensible. Funds from the proposed project will be used to ready a team of scientists and collect geo-referenced field data pertaining to burn severity and vegetation condition for the purpose of refining and validating remote sensing classifications. Imagery for this project will come from satellites, which will make rapidly available imagery and imagery-derived products available to rehabilitation teams at a lowor cost than present. Processes have been already established to rapidly acquire MODIS, Landsat 5 and 7i.wid SPOT imagery at low-to-moderate cost. The results of this project will be transferred to a website and 2-day workshop.