SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments

Coherence change detection (CCD) is a remote sensing technique used to map phenomena that, under certain conditions, can be directly related changes in Interferometric SAR (InSAR) coherence. Mapping the areas affected by sediment transport events arid environments one of most common applications CCD. However, reliability these maps remains an unsolved issue. This paper focuses on verifying that InSAR coherence indeed able detect all fluvial have actually mobilised sediments building classification model and validating its results. The proposed methodology tested three study Salar de Atacama, Chile, using years Sentinel data plus fourth year for validation, meteorological records rainfall, relative humidity air snow cover. results prove remotely flash floods environments, it might greater ability than perpendicular baseline does relevant effect needs considered. All findings will increase based In addition, method allow focusing mapping tasks only dates and, once calibrated, enable automatised new events.