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Hi Eszter,
yours is a particularly complex case.
Non-linear movements can be well estimated with the smart option that you selected. The smart option in fact applies a low pass filter in time. However, given the more degrees of freedom, the smart option requires more images than usual to be robust: 13 is a too low number.
In any case, an…[Read more]

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Hi,

I get the same error when trying to coregister S1 images. Did you manage to solve this problem?

two possibilities:
1. either the orbit of that image is pretty bad (and what you see there are fringes due to the wrong geometry)
2. or that image is very noisy (maybe because of a storm) and what you see there is the result of noise fitting

you miss some of the toolboxes listed here: https://www.sarproz.com/pcodes-instructions/

I used Delunay connection graph and detected seasonal coherence loss. Does it mean that availibiltiy to get data is most worst intefereogram coherence?

if you process your data with the STAR graph,
you look for good and stable targets in time, which usually are also little affected by geometric decorrelation.
You could be in an area with average little spatial coherence but with a few sparse stable targets (like sparse isolated houses in the countryside) and everything would work.
so, when you…[Read more]

Hi Venera,
your APS processing looks good. After that, you have to process more points to get denser results. You can do it either in the MISP or in the GAR (Graph Analysis and Refinement) modules.
Options that you can try in case you cannot get results in your are of interest:
+ using a non-linear model for the deformation (input the number 5 in…[Read more]