Accurate vegetation mapping is a crucial tool in the decision making process for the proper management of outfield areas. This thesis assesses the use of Landsat TM and ETM+ data for mapping the grazing quality types identified by the Norwegian Institute for Land Inventory (NIJOS). The study site is located in the Venabygd Mountain area in central Norway. Using satellite imagery instead of traditional field mapping can reduce the time and cost of producing and updating grazing quality vegetation maps. Analyses showed that it is not possible to map the predefined grazing classes, but that it is possible to obtain unique spectral information for the vegetation types of Spruce, Birch and Alpine grasses. These can then be linked to an indication for grazing quality. Positive results were obtained from the topographic correction of the data and the use of a multi-temporal dataset.