Space-borne radar interferometry is a fundamental tool to detect and measure a variety of ground surface deformations, either human induced or originated by natural processes. Latest development of radar remote sensing imaging techniques and the increasing number of space missions, specifically designed for interferometry analyses, led to the development of new and more effective approaches, commonly referred to as Advanced DInSAR (A-DInSAR) or Time Series Radar Interferometry (TS-InSAR). Nevertheless, even if these methods were proved to be suitable for the study of a large majority of ground surface dynamic phenomena, their application to landslides detection is still problematic. One of the main limiting factors is related to the rate of displacement of the unstable slopes: landslides evolving too fast decorrelate the radar signal making the interferometric phase useless. This is the reason why A-DInSAR techniques have been successfully applied exclusively to measure very slow landslides (few centimetres per year). This study demonstrates how the C-band data collected since 2014 by the Sentinel-1 (S1) mission and properly designed interferometric approaches can pull down this restriction allowing to measure rate of displacements ten times higher than previously done, thus providing new perspectives in landslides detection. The analysis was carried out on a test site located in the Cortina d'Ampezzo valley (Eastern Italian Alps), which is affected by several earth flows characterized by different size and kinematics.A-DInSAR offers the possibility to map and measure small ground displacements over large temporal and spatial scales with sub-centimetre accuracy, combining the high precision of classical geodetic surveys with the imaging property of remote sensing techniques. These approaches have been successfully applied to monitor ground deformations of different origins, both natural and anthropic e.g., [1,[6][7][8]. Nevertheless, the practical applicability of A-DInSAR analysis to study landslides is still problematic since it is inherently related to the size, the aspect and the inclination of the slope, to land cover and to the velocity and mechanisms of displacement [9]. The Sentinel-1 (S1) mission, developed and operated by the European Space Agency (ESA), is implemented through a constellation of two satellites (A and B units), launched in 2014 and 2016, respectively. S1 satellites were designed to provide the scientific community with data continuity after the operational end of ERS and ENVISAT missions with enhanced temporal and spatial resolution, along with small orbital baselines. These characteristics certainly favor the application of A-DInSAR analysis to landslides by loosening two major bonds such as the small dimensions and, occasionally, the high velocity of the mass movements.According to Cruden and Varnes [10], landslides can be grouped in seven classes depending on their rate of displacement (Table 1). Remote Sens. 2019, 11, x FOR PEER REVIEW 3 of 17 of the anthropic pressure and hence the ...