Landslide activity detection based on Sentinel-1 PSI datasets of the Ground Motion Service Germany—the Trittenheim case study

Abstract Spaceborne interferometric synthetic aperture radar has been proven to be able monitor slow deforming landslides with mm-precision. Continental- and nationwide-scale Sentinel-1 PSI (persistent scatterer interferometry) datasets millions of deformation time series are publicly available, e.g., via the European Ground Motion Service or Germany. This creates possibility for an increased routine use landslide applications. However, is often done by visual inspection. The huge amount measurements makes inspection, subjective, time-consuming, error prone due outliers. study demonstrates how spatial temporal patterns velocity can detected in a semi-automatic way improve objective information extraction. Therefore, two landslides, namely, Trittenheim Piesport Germany analyzed using from post-processing technique semi-automatically detects clusters PS maximum LoS 18 7 mm/a respectively. Furthermore, correlation time-lag between surface potential triggering factor found. Results show that increase climatic water balance accelerates at investigated locations. verified second independent dataset