Some typical examples of gdm-sar runs can be found and visualised in the “public results” tab of the GDM-SAR-In interface.

They have been validated and the products are freely available. The aim of the portfolio is to show how the service can be used as a function of the scientific goal. It is also here to show the potential limits of an automatic InSAR processing: the products may or may  not be used “as is” in a scientific publication. The user in particular must be aware that of potential filtering effects, unwrapping errors and remaining atmospheric delays. In “easy” cases (good coherence AND weak relief AND weak displacements gradients) the results should be nearly optimal. GDM-SAR-In is therefore an easy-to-use exploration tool of InSAR data, but the quantitative exploitation of the results must rely on an expert eye and potentially a reanalysis by the user. Displayed examples include cases at high resolution without time series (e.g., Maca landslides) and small time series examples (e.g., Ridgecrest and Mexico City). We can be interested in coherence changes (Landes forest fires or Ridgecrest EQ), in high resolution wrapped interferograms (e.g., Maca landslide), in medium-resolution wrapped interferograms (Ridgecrest or Turkey Earthquakes, or volcano deformation, La Réunion), or in small time series (e.g., Mexico City, or co- and post- seismic time series, Ecuador or Ridgecrest EQ). Note that the default parameters for the filter may destroys fringes where they are too narrow. Please then include: filterstyle=SWg (see tutorial).