Yes, you need to avoid putting a reference point in one of the basins with active aquifer deformation. Other than that, it does not matter much, except that errors will increase with distance from the earthquake signal.
Thank you so much. In the paper published for the Geodetic Bayesian Inversion Software (GBIS), developers expressed “It is also recommended to remove a linear ramp of the form Z(x,y)=ax + by, where a and bare linear coefﬁcients of the x and y coordinates, respectively, to account for any residual orbital error or very long wavelength atmospheric delay across the entire InSAR data set (e.g., Sudhaus & Jónsson, 2009). The parameters for a linear ramp across an entire image can then be estimated directly from the data during the inversion.”
Is this method (removing by calculating the linear ramp) applicable in all atmospheric conditions? I think we may be facing some uncertainties in areas where topography changes are high.
A linear ramp may not be effective at reducing atmospheric effects in all cases. It is only a first-order approximation. If you have atmospheric effects highly correlated with topography, then GACOS corrections might be effective.
Thank you in advance for your suggestion. I will download them and read as soon as possible.
@EJFielding I found the following sentences in one of your papers, related to Mw=7.3 12 November 2017 Sarpol-e Zahab (Iran):
“The difference in the pattern of coseismic signals between ascending and descending geometry indicates that the mainshock did not have only pure vertical movement, but included also horizontal motion, which appears differently in ascending and descending data”
If I have the ascending and descending co-seismic maps with the same pattern, can I assume that there is no any horizontal displacement or ignorable horizontal displacement?
I would like to represent the results of modeling here. Based on the convergence figure of modeling progress, I am not completely sure about the accuracy of these results. I will be glad to have your comments:
Your model fits look good to me. Most of the residuals appear to be due to atmospheric effects.
@EJFielding Thank you so much for your comment. I resampled my IFGs to 90 meters which is compatible with GACOS files and then, applied the atmospheric correction through GACOS. Now, I am just worried about the stability of solved model and achieved parameters so that the convergence plot of the used package is not as good as I expected.
Most remote sensing satellites measure the sun’s radiation reflected back from the ground, usually in the visible and infra-red part of the electromagnetic spectrum.
I would like to know what methodology you used in producing the interferogram.
Do you know how to set the burn-in index to generate a Final Report with GBIS? According to the software manual text, this represents the number of initial iterations to be excluded from the computation of subsequent density functions and other statistics. But I was testing with the number of iterations rejected by the software during the inversion and I get an error in the histogram function.
Hello, may I ask you how far you are in your research on po-SBAS?