Remote sensing can provide information on forests through classification of spectral response patterns. Of interest is a summary of the distribution of classes, and map products that depict the spatial arrangement of the classes. The process of mapping the results of classification must necessarily follow the rules of logic, which express formally the philosophy and criteria by which maps for various management applications will be created and assessed (Robinove, 1981). In addition, classification and mapping are always done for some purpose; it is this purpose, and the skill of the analyst, which exert perhaps the strongest influence on the accuracy and utility of the final products. In this world of limited resources, computer support, and personnel, there are only a few practical ways in which the optimal remote sensing classification, from which usable maps can be obtained for sustainable forest management, can be accomplished.