Remote Sensing image classification and analysis techniques utilize both spatial and spectral information in an image to derive patterns and to extract as much information as is possible from an image. Almost all forms of image classification and analysis benefit from the availability of a spectral library that includes entries for all materials that contribute significantly to the mixed spectral signatures observed in the imagery. ASD's FieldSpec 4 line of spectroradiometers are the ideal tool for building a spectral library since field collected reflectance spectra most accurately portray the view from a satellite or aircraft imaging sensor. This is especially true for materials such as vegetation whose spectral signatures are determined both by the optical characteristics of individual elements as well as the three dimensional arrangement of those elements. The ability of ASD's FieldSpec 4 spectroradiometers to rapidly collect accurate field spectra make them the ideal tool for performing these critical field measurements.