1. Introduction
The growing volume of Synthetic Aperture Radar (SAR) imagery acquired by the Sentinel-l satellite constellation creates opportunities and opens new challenges for interferometric SAR (InSAR) applications to monitor and assess changes to the Earth's surface in a systematic way. The Sentinel-ISAR data from the European Union's Copernicus program is unique, as it for the first time, provides temporally dense and high spatial resolution satellite SAR imagery freely for the entire globe. However, researchers undertaking multi-temporal InSAR studies of long-term deformation processes face the challenge of establishing an efficient architecture of computing infrastructure, storage, algorithms, and software to routinely process the, ever-growing, big SAR data archive.