Mapping bum severity after wildfire events has been the focus of burn rehabilitation crews for decades. Burn severity can vary depending upon the type of fuel present and the duration of the fire in a given location, typically, burn severity is mapped as high, medium, or low. While these designations have been useful for rehabilitation efforts, they have been difficult to accurately map. Recently, remote sensing in the form of airborne digital color infrared photography and multi-spectral satellite imagery have been used to map burn severity. Although these tools have been useful for delineating burn extent and vegetation condition after a fire, their link to burn severity is not direct. As new remote sensing tools become available, it is necessary to test their capabilities both on the ground and in the air in order to determine how they can improve upon existing methods. The new hyperspectral sensors show promise for improving upon our capabilities of collecting direct, meaningful measurements of burn severity. The proposed project addresses the needs of RFP 2001-2 Task 1. We seek to obtain hyperspectral airborne imagery in tandem with a handheld field spectrometer immediately after a wildfire, By collecting and analyzing information from these spectral data collection tools, we can determine how the next generation of sensors will assist in the mapping and analysis of burned areas. Funds from the proposed project will be used to collect and analyze hyperspectral imagery and field spectrometer information for refining estimates of burn severity.