Multi-temporal differential synthetic aperture radar interferometry techniques are well-developed and beneficial tools for deformation analysis using remotely sensed images. The primary objective of the study is to investigate the capability and the performance of the new generation SAR system Sentinel-1 data to detect and monitor surface deformation. We combined open source tools of Sentinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS) for data processing. The results highlight the recent surface displacement rates over the Istanbul city. The deformation rates reach up to approximately 8 mm/yr over a 4 year period.