The analysis of A-DInSAR Time Series (TS) is an important tool for ground displacement monitoring and the TS interpretation is useful to understand the kinematics of especially slow-moving processes (landslides) and the relation with the triggering factors (heavy rainfall, snow). The aim of the work is to develop a new statistical methodology that allows to classify TS trend (uncorrelated, linear, non-linear) of large datasets of any type of satellite characterized by low or high-temporal resolution of measures; to retrieve breaks in TS displacements for non-linear deformation; to furnish the descriptive parameters (beginning and end of the break, length in days, cumulative displacement, average rate of displacement) in order to characterize the magnitude and timing of changes in ground motion. The methodology has been tested in Piemonte region, in north-western Italy, which is very prone to slow-moving slope instabilities. Two Sentinel-1 dataset with high-temporal resolution of measures (6-12 days) are available for this area covering the period 2014-2020. Compared to other methods which have been developed to examine TS, the TS statistical analysis in this methodology is based on the daily displacement (mm) rather than the average velocity (mm/yr). This analysis is possible thanks to the availability of Sentinel-1 data with high-temporal resolution of measures (6-12 days) that provides a sampling frequency enough to track the evolution of some ground deformations and therefore it can be considered as a “near-real-time monitoring”. Site-specific or regional site-scale event detection thresholds should be calibrated according to geological-geomorphological processes and characteristics of the study area. Moreover, results must be, where possible, also confirmed by in situ instruments and events already identified since there may be an overestimation of events detected by the methodology. This new methodology applied to Sentinel-1 will provide a new tool both for back analysis and for near real-time monitoring of the territory not only as regards the characterization and mapping of the kinematics of the ground instabilities but also in the assessment of hazard, risk and susceptibility, becoming a supporting and integrated tool with conventional methods for planning and management of the area. Moreover, this method can be useful to understand where acceleration events occurred furnishing a further validation of the real kinematic behaviour in correspondence of each test-site and where it is necessary to do further investigation. The methodology has been tested on areas prone to slow-moving landslides, but it can be applied to any areas to detect any ground instability such as subsidence.