Reduction of Atmospheric Effects on InSAR Observations Through Incorporation of GACOS and PCA Into Small Baseline Subset InSAR

Small Baseline Subset InSAR (SBAS InSAR) utilizes a series of synthetic aperture radar (SAR) interferograms to generate time that can analyze the surface displacements coherent points. Still, atmospheric errors in interferometric SAR (InSAR) measurements seriously affect reliability displacement series. In this article, new approach incorporating Generic Atmospheric Correction Online Service for (GACOS) and principal component analysis (PCA) is proposed reduce SBAS InSAR. Its application Southern California, USA suggests incorporation GACOS PCA efficiently effects on observations hence improve accuracy InSAR-derived displacements. The overall standard deviations were reduced from 4.97 2.02 rad after applying with root mean square error (RMSE) reducing by 61.1% 18 7 mm. addition, comparisons between different processing strategies suggest more components are removed, smaller interferograms, but lower