Classification of ground deformation using sentinel-1 persistent scatterer interferometry time series

Displacement time series (TS) provides temporal and spatial information related to ground deformation. This study aims investigate behavior of deformation TS, including classification displacement trends periodicity evaluation, which ease the interpretation movements. To this end, we propose several modifications an existing automatic workflow Persistent Scatterers Interferometry (PSI) TS using new tests classify deformations into seven main trends: Stable, Linear, Quadratic, Bilinear, Phase Unwrapping Errors (PUE), Discontinuous with constant different velocities. We illustrate our approach over 1500 km2 Granada region metropolitan area Barcelona, were monitored Sentinel-1 images a PSI technique. provided distribution movement types was useful detect anomalies due PUE. The proposed also identified stable targets, wrongly classified as moving scatterers by method. A analysis finally performed Welch’s power spectral density estimator seasonal yearly fluctuations. method validated simulated data, where TSs characterized probable phase unwrapping errors verified experts. overall accuracy 77.8%, indicating that has considerable potential.