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Remote sensing and digital image analysis techniques offer potential for assisting in the analysis of large forest tracts for identification of appropriate ecosystem classes at a variety of spatial resolutions or scales. In this report, the evolution of forest ecosystem classification is discussed in relation to site and stand characteristics. The role of remote sensing for ecological and forestry applications is also reviewed along with some of the major issues in digital image classification. In addition, the issues of spatial resolution are discussed, particularly with respect to the relationship between surface features (objects and phenomena that contribute to spectral reflectance) and spatial resolution, and how this relationship affects classification accuracy.