## 6 Conclusions  
The possibility to investigate surface deformation over wide areas with sub-centimeter accuracy can be very useful for the interpretation of the kinematic behavior of mass wasting phenomena typical of high mountain region (e.g., landslides, rock glaciers, and glaciers). However, the high complex relief, together with the land use and the snow cover, typical of mountainous areas, constitute important limitations for the DInSAR processing applications [42; 43; 44; 86], also associated to the well-known intrinsic limitations of these techniques [33; 45; 46].  
The proposed iterative procedure, applied through the P-SBAS web-tool within the GPOD environment, allowed us to improve SAR data selection and processing, over high mountain regions. The G-POD user-friendly interface permits to everyone--not just experienced users--quick accessibility to the SAR data and an analysis of SAR data using validated process, without tinkering with the different SBAS-DInSAR processing steps of specific and costly software.  
Our processing strategy shows that it is possible to obtain long-term deformation analysis of diverse phenomena affecting mountain areas, and demonstrates how the DInSAR application could obtain reliable information about the ground displacement in the area without in situ instruments. This will be even more evident with the new Sentinel-1 satellite constellation that provides SAR acquisition characterized by significantly reduced revisit time (6 days), which represents an important improvement for the application and exploitation of the DInSAR results.  
The following are available online at www.mdpi.com/2072-4292/8/10/852/s1; Figure S1: Maps of surface velocities measured along the satellite LOS, for the Envisat dataset in ascending and descending orbit. The four images represent the results of the performed tasks for each orbit using the GPOD-SBAS service.  
**Acknowledgments:** The research has been partially supported by HAMMER project, \"Relationships between mete-climatic parameters and ground surface deformation time series in mountain environment,\" in the framework of the NextData project. The ERS-1/2 and ASA Envisat data have been provided by ESA. The authors acknowledge [PERSON] of the GPOD support team for providing assistance and help on processing the SAR dataset. The authors are grateful to the four anonymous referees for their comments, which substantially improved the manuscript.  
**Author Contributions:** [PERSON] processed the dataset by the GPOD-SBAS service, performed the analysis, and wrote the paper. [PERSON] and [PERSON] contributed to process the dataset and supervised the analysis. [PERSON] supervised the interpretation of the results from the geomorphological point of view. [PERSON] contributed to process the dataset. [PERSON] has coordinated the work. All authors contributed to paper writing and revision.  
Figure 14: Comparison between the Envisat ascending **(A)** GPOD-SBAS results and the **(B)** PSInSAR results (from the Portale Cartografico Nazionale) over the Valtourenenche Valley corresponding to the Mont Meabe rock glacier; **(C)** time series corresponding to the SBAS target and the PS, signified respectively by the **black** square in **(A)** and by the **red** square in **(B)**, within the Mont Meabe RG phenomenon.