## 6 Conclusions  
In this study, six full years of Sentinel-1 SAR ascending and descending mode imagery were processed with the P-SBAS service available in ESA's GEP to generate the longest ever interferometric stacks so far used for a single study site and published in the specialist SAR remote sensing literature. The multitude of coherent points retrieved and the respective LOS displacement time series were then analyzed to develop use-cases of geological interpretation related to \"silent\" and subtle hazards--i.e., slow-moving landslides, erosion landforms, and coastal subsidence--affecting different locations spread across the province of Crotone in Calabria, southern Italy. The results achieved make this research novel because they demonstrate that Sentinel-1 time series in the order of nearly 300 images (per observation geometry) can be processed in less than three days, owing to the high-performance computing infrastructure available in the GEP. Tens of thousands of coherent points can therefore be retrieved through P-SBAS, with a level of spatial density that is suitable to depict deformation patterns in rural and agricultural land-cover types as well. Furthermore, the very frequent displacement time series provided for each coherent point enable a robust identification of not only the long-term deformation trend of natural and anthropogenic hazard processes, but also of their short-term variations on a weekly basis, which previous analyses relying on shorter data stacks (or long stacks with less frequent observations) for the same study area could struggle to unveil. This comes out evidently in the characterization of the temporal evolution of land subsidence at the Capo Colonna promontory. Any investigations of shorter time spans, indeed, could be biased by the occurrence of seasonal or intra-annual variations, and therefore would not be able to provide a robust estimate of the long-term trend. On the other hand, long time spans with less frequent observations (e.g., on the monthly or bimonthly scale) may not be able to sense shorter scale non-linearities. Therefore, the geo-information provided by the 300 image-long datasets with weekly revisit acts as a key input for investigations of geological processes. In this regard, the choice of a study area that was previously investigated with InSAR techniques proved effective to highlight the advantages brought by P-SBAS processing of such big SAR data, and thus helped to demonstrate the concept of how to develop applications with such big InSAR products for geohazard assessment and environmental monitoring purposes. Post-processing of P-SBAS results according to well-established methods included the vertical and east-west deformation field estimation, and the PSI-based matrix approach for landslide activity assessment. In the case of Capo Colonna, the vertical and east-west deformation field estimation allowed constraining of the geometry of land subsidence and locating the center of the subsidence bowl, thus confirming and bringing in new knowledge compared to previous InSAR observations that were limited to analysis of LOS displacements, or only one of the two deformation components. In Crotone, the method helped to discriminate different sectors of the city (harbors, old town, inland settlement) and to detect horizontal motions that relate to the regional tectonics. Finally, the exercise of updating the existing landslide inventory by means of the PSI-based matrix approach was intentionally meant as a simple, but effective proof-of-concept of the types of value-adding that users can undertake if they have access to the platform and become familiar with generating and exporting P-SBAS products to input them into their workflows for the generation of thematic products and development of downstream applications. Conceptualization, F.C. and D.T. ; methodology, F.C. and D.T. ; software, F.C. ; validation, D.T. ; formal analysis, F.C. and D.T. ; writing--original draft preparation, F.C. and D.T. ; writing--review and editing, F.C. and D.T. ; visualization, F.C.