Spatio-Temporal Quality Indicators for Differential Interferometric Synthetic Aperture Radar Data

Satellite-based interferometric synthetic aperture radar (InSAR) is an invaluable technique in the detection and monitoring of changes on surface earth. Its high spatial coverage, weather friendly remote nature are among advantages tool. The multi-temporal differential InSAR (DInSAR) methods particular estimate spatio-temporal evolution deformation by incorporating information from multiple SAR images. Moreover, opportunities DInSAR techniques accompanied challenges that affect final outputs. Resolving inherent ambiguities phases, especially areas with a gradient, represents main challenge. This brings necessity quality indices as important data processing tools achieving ultimate outcomes. Often such not provided products. In this work, we propose four scores associated (i) measurement points, (ii) dates time series, (iii) interferograms (iv) images involved processing. These derived redundant set calculated based consistency unwrapped phases frame least-squares adjustment. reflect occurrence phase unwrapping errors represent valuable input for analysis exploitation results. proposed were tested 432,311 1795 263 Sentinel-1 single look complex employing small baseline PSI chain, PSIG geomatics division Centre Tecnològic de Telecomunicacions Catalunya (CTTC). results illustrate importance scores—mainly interpretation