## 5 Conclusions  
This paper presents the interferometric results in ascending geometry (from 6 January 2017 to 12 November 2022) and descending geometry (from 28 January 2017 to 29 October 2022), related to monitoring surface deformations using the Differential SAR Interferometry technique in the area surrounding the village of San Marco dei Cavoti. The results are displayed as average displacement rate maps and displacement time series along the sensor-target LoS direction for the identified targets in both acquisition geometries and for vertical and horizontal components of the rate. The complex morphology of the area and its moderate urbanization, along with the presence of structures and infrastructures, provide a good number of reflectors with similar density for ascending and descending geometries (respectively, 7457 and 7994 RT/km\({}^{2}\)). In heavily vegetated areas with no direct ground reflectors, the density of monitorable points significantly decreases; this issue could be resolved by installing a network of artificial corner reflectors characterized by excellent electromagnetic wave reflectivity. Regarding the village of San Marco dei Cavoti, the high density of RTs allowed identifying and confirming some sectors with more significant displacement rates, up to a few cm/year. In particular, the analysis of displacement time series for some targets identified in areas already affected by landslides confirms the slow kinematics of the deformation phenomena. The time series analysis shows that the already recognized landslides are active, often showing retrogressive processes. This conclusion is strengthened by analyzing the decomposition of the ascending and descending rates into the two horizontal (W-E axis) and vertical components. Thanks to the data obtained from the decomposition of the rates, we obtained different information:  
* Small displacements are still detected in the already mapped landslides. This could be either a reactivation of the landslides, or they never stopped their displacement with a slow velocity. As most of the slope is covered by vegetation, the toes of the landslides cannot be analyzed. * The analysis also showed displacements uphill from the mapped landslides. These areas could be related to either an enlargement of the landslides or those could have been part of the landslide since the first activation but were not detected, as urban areas can, sometimes, make it more difficult to find evidence of slow velocity landslides. The presence of the landslide crowns is confirmed by field survey (Figure 18a-c). * The cinematic obtained through the decomposition analysis confirms the type of movement related to the mapped landslides (mostly slides that feed shallow flow landslides). As for the displacement areas not mapped in the inventory, we can suppose the presence of a rotational type of slide, as the uphill vertical displacement is higher than the horizontal one and, along the slope, the vertical displacement becomes the lesser of the two. As shown, such an analysis is an additional tool that can be useful for both landslide monitoring and preliminary investigation. In this case, the satellite data obtained from the decomposition confirmed the studied slope processes and their characteristics (type of movement, velocity). Finally, further investigation could lead to estimating the depth of the sliding surfaces [47]. Conceptualization, D.D.M. and M.A.K. ; methodology, M.A.K., G.B. and D.D.M. ; software, M.A.K. and G.B. ; validation, M.A.K. ; formal analysis, M.A.K., G.B. and C.D.M. ; investigation, M.A.K. ; resources, D.D.M. ; data curation, M.A.K. and G.B. ; writing--original draft preparation, M.A.K., G.B. and C.D.M. ; writing--review and editing, S.P.Z. ; supervision, D.D.M. All authors have read and agreed to the published version of the manuscript. The authors received no financial support for this article's research, authorship, and/or publication. Data Availability StatementData available under motivated request.