Preliminary results of temporal deformation analysis in Istanbul using multi-temporal InSAR with sentinel-1 SAR data

Geoscience and Remote Sensing Society (GRSS);The Institute of Electrical and Electronics Engineers (IEEE)38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 -- 22 July 2018 through 27 July 2018 -- -- 141934Multi-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. © 2018 IEEE