Emergency programs such as Emerald Ash Borer could benefit greatly from vegetation mapping to potentially locate damaged trees. Currently, detection surveys rely on visual identification of beetles and/or visible damage. These detection efforts are labor-intensive with surveyors first identifying tree species and then examining susceptible trees for signs of beetles. Remote sensing can be a useful tool for mapping vegetation and advances in sensor technology continually improve the information content of imagery. This paper investigates whether stressed ash tree can be differentiated from healthy ash trees using hyperspectral reflectance in the visible to shortwave infrared spectral range. Field sites were established by MSU & USDA FS in 2004 & 2005 within the area infested by Emerald Ash Borer. Spectral signatures for healthy and stressed ash trees were collected. Ash trees were stressed by a variety of treatments including girdling and herbicides. Data was collected using an ASD FieldSpec Pro full range spectrometer and included bands from the visible spectrum to short wave infra red. Data was collected at the leaf level by pruning out individual leaves and using an ASD plant probe to collect readings.