This paper discusses the theories and method of computer aided classification for the grassland investigation by using the Spacelab color infrared images in accordance with the grassland

classification principles and the characteristics of information space used in the visual interpretations of remote sensing images. It takes the several kind of experiments as the instances of utilizing auxiliary data and image data composite techniques. The results have been evaluated by comparing those with the results of experts’ interpretation according tot the on-the-spot surveying records. It shows us that it is flexible to use this kind of remote sensing dato for resources investigation

and one can get the optimum effects by employing Landsat MSS biomass index. DTM image

stope and its orientation data.