Tropospheric correction for PSInSAR time series
Posted: Tue Dec 06, 2022 9:02 am America/New_York
I am using Sentinel-1 A/B images to create a deformation time series using Persistent scatterer interferometry concept through Stanford Method for Persistent scatterers (StaMPS), and I have tried the linear atmospheric phase screen removal through matlab/StaMPS processing using Toolbox for Reducing Atmospheric InSAR Noise (TRAIN) through which a script (“oscar-client-python/get_modis.py”) is called, which I have cloned from https://github.com/jgomezdans/get_modis/.
however I was informed that this script is obsolete and is no longer a viable option to remove the tropospheric phase contribution to the interferometric deformational phase, Applying this script did remove some of the phase contribution but the noise still persists for each ps points and thus they shows random displacement pattern over time. Which recipe can I use in order to provide a dependable atmospheric correction for PSInSAR time series through TRAIN knowing that my study area is a natural landscape with minimal urban presence with variable relief beside the gulf of suez.
however I was informed that this script is obsolete and is no longer a viable option to remove the tropospheric phase contribution to the interferometric deformational phase, Applying this script did remove some of the phase contribution but the noise still persists for each ps points and thus they shows random displacement pattern over time. Which recipe can I use in order to provide a dependable atmospheric correction for PSInSAR time series through TRAIN knowing that my study area is a natural landscape with minimal urban presence with variable relief beside the gulf of suez.