Steffan Davies

> To obtain the actual values, you need to sum the west-east or vertical displacements from two orbits, or employ an alternative method to determine the projections. > > The...

Thank you for explaining. I have been using correlation based approach due to very large stack size (1000-4000 interferograms) because unwrapping becomes unreasonably expensive, and large enough areas tend to...

> Please share the list of scenes for the case; I'll check it sometime later. S1A_IW_SLC__1SDV_20230903T183344_20230903T183412_050167_0609B4_100E S1A_IW_SLC__1SDV_20230915T183345_20230915T183413_050342_060F9F_85A4

> As I remember, I've shared example notebooks with the recommended solution for this case: > > ``` > with dask.config.set(scheduler='single-threaded'): > ...compute() > ``` > > And applying delayed()...

> I've simulated a large stack, and it works well on my Apple Silicon host with 16 GB of RAM: > > > I see you split the stack in...

> unwrap_sbas = sbas.sync_cube(unwrap_sbas, 'unwrap_sbas') > I got stuck at this step, it is taking huge time in colab pro. > Please give a solution > With 16 scenes only...

So is it preferred to use interpolation or 0 filling? How does it affect the results and speed?

I was wondering because I am processing an area divided by a river. So maybe interpolation makes sense.

 Interpolation seems to be a lot faster.