Abstract
The Permanent Scatterers Interferometric SAR technique (PSInSAR) is a method that accurately estimates the near vertical terrain deformation rates, of the order of ∼1 mm year-1, overcoming the physical and technical restrictions of classic InSAR. In this paper the method is strengthened by creating a robust processing chain, incorporating PSInSAR analysis together with algorithmic adaptations for Permanent Scatterer Candidates (PSCs) and Permanent Scatterers (PSs) selection. The processing chain, called PerSePHONE, was applied and validated in the geophysically active area of the Gulf of Corinth. The analysis indicated a clear subsidence trend in the north-eastern part of the gulf, with the maximum deformation of ∼2.5 mm year-1 occurring in the region north of the Gulf of Alkyonides. The validity of the results was assessed against geophysical/geological and geodetic studies conducted in the area, which include continuous seismic profiling data and GPS height measurements. All these observations converge to the same deformation pattern as the one derived by the PSInSAR technique.
Highlights
This subsidence rate is in very good agreement with the average deformation rate of ~1 mm year-1 estimated from the Permanent Scatterers Interferometric Synthetic Aperture Radar (PSInSAR) study
In this paper the so-called PerSePHONE PSInSAR technique developed at the Institute for Space
A number of algorithmic adaptations were implemented, mainly concerning the Permanent Scatterer Candidates (PSCs) selection procedure through applying a histogram equalization technique, and the PSC iterative algorithm convergence criteria using the standard deviation of the correction values
Summary
The PerSePHONE (Permanent Scatterers Project Held by the Observatory, National, of Hellas) tool development, was based on the PSInSAR technique, along with a number of algorithmic adaptations for PS and PSC (Permanent Scatterer Candidate) identification and selection. The criterion for identifying the non converging PSCs was the standard deviation of the correction values at each advanced iteration step of the unknowns (velocities and DEM errors) This procedure was repeated until either the algorithm converged or the number of PSCs(n) in a specific tile became lower than a minimum threshold which was set to 40. This was performed by maximizing the targets’ Phase Coherence (PC), which refers to the phase stability of the targets, after removing the calculated APS from each tile [2] This was regarded as a non-linear inverse problem, solved by means of scanning a 2-D parametric space and maximizing the PC factor emerging from the final velocities and DEM errors. Space Application and Remote Sensing of the National Observatory of Athens
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