the ghanaian forests are a significant component of the country’s development. occasioned by the rapid population growth of the country, increasing phenomena such as shifting agriculture, logging, fuelwood harvesting and fire outbreaks have claimed over 70% of the original forests. the reduction of forests has stimulated the development of management tools to control forest depletion. in order to focus the intervention of forest managers and environmental planners, the rate and impact of forest depletion must be monitored and well documented. financial constraints and the lack of adequate maps have hindered the setting up of effective monitoring mechanisms. this study illustrated the feasibility for using landsat data and gis to map changes in the ghanaian forest reserves. gis was used to create the initial database for the study. three image analysis change detection methods namely image algebra (image differencing), spectral temporal and spectral temporal principal component analysis were employed. the results of the analysis showed that spatial distributions of the changed areas produced by all three methods were similar, varying only in the extent. the remote sensing image analysis required the information stored in the gis database for rectification and for the assessment of the classification procedure. a quantitative accuracy assessment was not possible for the procedures due to limited ground truthing. the use of gps in field data collection was demonstrated by its use in delineating the boundary of a selected reserve. the gps data was able to adequately display the reserve boundary, the spatial distribution of taungya and farms along the boundary as well as relocated boundary pillars. all new layers of information generated from the research were displayed and stored in the gis. finally, the importance of the outlined procedures in the monitoring of ghanaian forest and the limitations of the study were discussed.