Hi,
first of all, to be able to obtain accuracy, we would need the truth, which usually we don’t have. So, it would be better to talk about precision.
In any case, the standard deviation is calculated from the phase residuals (observed interferometric phase after removal of the model you choose for the processing). As a consequence, you can understand that it’s a way measure the match between a model and the observations. Sometimes you might have a discrepancy caused by noise, sometimes the mismatch comes from un-modelled deformation. To try to understand more, you need to observe your data from multiple perspectives (like space and time).
The coherence is an other way to measure the match, in the complex domain. This is the parameter we normally use to quantify the goodness of an insar time series estimation. We introduced the standard deviation just to simplify the interpretation to those not used to InSAR processing.
To understand deeper this topics you might consider taking the course EO59 offers twice a year. There will be a session in about 1 month from now.
At the moment we did not include the projection of standard deviation from ascending/descending orbits to horizontal/vertical directions in the multi’sensor module. If needed, you can obtain it from the single stdevs using the infos about incidence angles.
best