[SJKOS]

Hello everyone,

I would like to ask why the point density derived from PS-InSAR and QPS-InSAR is only slightly different in my results, and in some areas there is almost no difference except for small changes in point locations.

The main processing workflow I used for each method is as follows:

PS-InSAR: one-star image connection, Delaunay graph creation, APS estimation, MISP, and time series analysis.

QPS-InSAR: full-graph image connection, Delaunay graph creation, interferogram processing with Goldstein phase filtering and multilooking, APS inherited from standard PS processing, MISP using coherence as weight, and time series analysis.

Could you please let me know whether I processed anything incorrectly or skipped any important steps that may explain why the PS and QPS results are so similar?

In addition, if I would like to continue with SBAS processing, may I proceed from any of the existing processing steps, or do I need to start the workflow again from the beginning? In other words, is it possible to reuse some results from the PS-InSAR or QPS-InSAR processing, or does SBAS require a completely separate processing chain?

Thank you in advance for your time and guidance.

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[periz]

firstly, a general comment: it would be good for you to take a Sarproz course..!!
regarding your questions, a couple of hints:
1. Sarproz by default uses a mask of sparse points based on amplitude local maxima. this helps speeding up a lot the processing, preserving anyway most of the information. also, it is adequate if you want to analyze single strong points. if on the contrary you want to analyze many (all) pixels, you have to force skipping loading that sparse mask or you can create the mask by selecting all pixels (check the corresponding module in the manual).
2. initial and final thresholding of points: lower all thresholds to process/observe as many points as you can. only at the final stage, decide which points to keep, not just based on coherence but also on other parameters
best

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