In this study methods are developed for improved analysis and processing of PSI data. PSI, or radar interferometry, makes it possible to use satellite radar images to measure deformation of the Earth’s surface and objects on it with millimetre accuracy. However, interpretation of the measurements and identifying the actually measured objects is still a common problem. There are no dedicated tools available for validation, for finding both falsely detected and falsely rejected points, or for deeper analysis of PSI results. Existing algorithms for automatic coherent scatterer selection need a lot of acquisitions to obtain reliable results, which makes it necessary to collect data for many months or years before processing can be done. In this study a suite of tools is developed that facilitate detailed analysis of results and versatile processing of radar data. This suite consists of a visual inspection tool, and a toolbox that handles metadata and can do versatile processing of radar data. Furthermore a method is developed for reliable point scatterer selection, that works for a small number of acquisitions, among other improvements.