How to get detailed information about bands of different datasets？

[LTT-5]

Hello, thank you very much for your outstanding work!

After downloading the data, we are a bit confused about the band information.
Could you please explain how the bands in datasets [s1grd-2020] and [gunw-dateinit_dateend] correspond to each other?

For example, dataset [gunw-dateinit_dateend] has 96 bands—what exactly do these 96 bands represent?
Similarly, dataset [s1grd-2020] has 16 bands—how are these 16 bands distributed among VV/VH, ascending/descending orbits, and the four seasons?

Where can we find detailed information about the bands? Look forward to your response.

Best regards

[mataln]

@rramosp

[mataln]

@LTT-5 If you're writing your own dataloaders you can find the band info for S1GRD-2020 at the top of https://github.com/spaceml-org/M3LEO/blob/main/src/fdlsar/io/io.py

For GUNW, if you open the .nc files using xarray like

with xr.open_dataset("test_file.nc", "/science/grids/data") as ds:
    datepairs = ds.datepair.values #These will be formatted like "YYYYMMDD_YYYYMMDD" (End date first)
    datepair = datepairs[0] #Pick whichever you want
    interf = ds.unwrappedPhase.sel({"datepair": datepair}) #Get the unwrapped phase out (Note: there's probably a faster/better way of doing this)

Ref: here and here and here to see the dataloader code using something like this. Also see attached images.