A Data-Adaptive Eof Based Method for Displacement Signal Extraction from Interferogram Time Series

摘要

In this paper, a data-adaptive method, namely Principal Modes (PM) method, based on the spatially averaged temporal covariance of a time series is proposed to extract the displacement signal from a time series of Sentinel 1 A/B inter-ferograms over the Gorner glacier during the period between October 2016 and April 2017. On unwrapped interferogram time series, the PM method provides a satisfactory separation of the displacement signal from the spatially correlated perturbations, while on wrapped interferogram time series, the PM method can highlight fringe patterns where they are more or less significantly hindered by the decorrelation noise.