The sedimentary systems terminating in the Salar de Uyuni, hold modern days analogues for the Permian and Triassic thin-bedded crevasse-splay deposits. In the future, these crevasse-splay deposits could be of importance for hydrocarbon production in Northwest Europe. In this study, the possibility of using satellite data to construct geomorphological maps is investigated. In order to do this, QGIS is used to determine the watershed and river paths based on ASTER GDEM satellite data, and to classify the land cover based on Landsat 7 ETM+ satellite data. The results generated by QGIS are compared to open source available datasets and high resolution Google Earth Pro images. The watershed and river paths determined in QGIS are accurate for high relief areas. In low relief areas, the results are not trustable. Here, the watershed and river path results seems to be controlled by the errors in the ASTER GDEM data. The resolution of the used Landsat 7 ETM+ is not large enough to distinguish various rock types accurately. A map that indicates the amount of clay within the basin could be created using the Landsat 7 ETM+ images though. Lithological classification using satellite images is a promising technique, with a lot of applications. However, to perform accurate lithological classification higher resolution satellite images and more detailed lithological information is necessary.