, and there is like a 1 year interval of missing data for such particular frame number that can only be filled with images from different frame the overlaps with the next frame. Will it be valid to use data sets from different frame numbers if my study area lies in the overlap region? or will this cause a drammatic orbital error
I appreciated your reply. That is so much helpful, I can now work on a larger time series since my study area is covered by the overlap between data sets from 2 consecutive frames on the same track/path.
Pardon my little knowledge but I thought the areas lying at the overlap between two acquisitions are prone to produce undesirable range Doppler centroid frequency error that contributes to the total Interferometric phase, that’s why I was only attempting to work on images that are acquired at the exact same frame (even though some images may not be perfectly lined up within a single frame) .
I am unfortunately not able to answer your question. I just would like to know whether setting the parameter select_reest_gamma_flag to yes, to enable more accurate estimation of PS points, affects the time series plot (displacement vs time chart) where points would appear more in-line and show a regular displacement pattern rather than this noisy plot ?
used the time series filtering linear phase correction method and the results are questionable due to the persistence of topographic pattern indicated by the PS points either before or after the removal of the calculated atmospheric phase, as shown here
and also due to the noisy time series plot which shows random displacement pattern for each PS selected
Hello everyone, i’m working on a quite big area (3 bursts of one subswath is needed) and my memory it’s not big enough to make one year in one process (the error begin already in back geocoding when im using all 32 scenes). With only 10 scenes the tasks are finished with no errors.
So i’m wondering what is the correct way to process them? Is there a way to merge all exports in Stamps? In my head I was thinking that this could be made with patches but after a reading at StaMPS/MTI ManualVersion 4.1b is cleared that the patch division is for azimuth and range, not for temporal divisions. Just to clarify I’ve already processed 10 then more 10 and more and more till complete one year but I can’t get the same PS in all… Some help?
Regarding this parameter (select_reestimate_gamma_flag), the manual and tutorial says
“this step makes a selection of PS based on probability, by comparison to results for data with random phase. This is usually done twice. After the first selection, the temporal coherence of each selected pixel is re-estimated more accurately, by dropping the pixel itself from the estimation of the spatially-correlated phase. Then the selection process is repeated”
I unfortunately couldn’t find the particular paper by Hooper in 2018 that discussed this re-estimation process and I was wondering if you could elaborate why the temporal coherence is re-estimated in Step 3, and why step 2’s calculation if temporal coherence isn’t accurate