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The work proposed in this Master Thesis seeks to demonstrate that radar-based remote sensing techniques are as effective as the conventional geotechnical ones for the monitoring of landslides. Concretely, the work encourages the use of high-resolution X-band SAR data for the monitoring and efficient mapping of slow-moving landslides using both, orbital and Ground-Based SAR sensors. Since landslides normally occur in vegetated areas, where the number of persistent scatterers can be low due to high temporal decorrelation, the processing can be benefited of the usage of high-resolution X-band data. Working at X-band has demonstrated its effectiveness for maximizing the chances of detecting persistent scatters coming from both man-made structures and natural targets such as rocky areas or bare surfaces. In this context, the highresolution spotlight mode of TerraSAR-X represents a perfect choice since it offers a fine resolution allowing a great improvement in these applications. On the other hand, an alternative and sometimes complementary strategy is based on the use of Ground-Based SAR sensors. The landslide of study in this work is ‘El Forn de Canillo’, in the Andorran Pyrenees, with well-know recent activity. In the following papers the implementation of several techniques is proposed to improve the DinSAR processing. The final objective is to compare the displacements results obtained with sliding spotlight TerraSAR-X data and those obtained with the X-band UPC’s GB-SAR sensor in order to make a cross validation analysis.