outdated sentinel-1 example about pytroll-examples

[mraspaud]

Hi @oarcher, I have thanks for bringing this to our attention!
I will try to reproduce the problem later today, but just to make sure, you are using unzipped GRD data, right?

[oarcher]

Hi @mraspaud , thanks for your attention !

Yes, I am using unzipped GRD data.

[mraspaud]

Merci pour les precisions!

I can reproduce the problem, so we definitely need to fix this:
It seems like not all available datasets can be loaded, this is an issue I need to raise in satpy.

In the meanwhile, if you want a fresh example, you can try this (works best over sea-ice :), using EW data)

scn = Scene(reader='sar-c_safe', filenames=my_files)
scn.load(["sar-ice-log"])
scn.show("sar-ice-log")

[mraspaud]

@oarcher the example has now been updated. Thanks again for reporting this!

[oarcher]

Merci, ça marche !

Just to introduce myself, as I am a very new satpy user.

I work with S1 IW EW WV L1 data in GRD or SLC, over ocean, to retrieve wind speed and waves spectra.

I wrote xsar, that is a sentinel1 xarray/dask reader (see xsar.open_dataset example), and it's fits my needs for high resolution computations (like moving box gradients analysis).

But I am not happy for the georeferencing part, like landmask and coastlines. Satpy seems to be much better for that.

So my plan with satpy is to try the sar_c reader, to see if it can fit my computational needs. I will be also able to cross validate both xsar and satpy readers.

Ideally, I'd like drop xsar to use satpy. But if I've got problems, I will probably use something like pyresample in xsar.

[mraspaud]

Nice meeting you :) xsar looks great!

The satpy SAR_C reader is still quite rough around the edges, simply because I don't have much time to allocate to it, but I'm definitely interested in making it better (especially for reading different datasets, and adding SLC support). So I'd be happy helping you out with testing satpy, that will help me pinpoint what needs to be improved first for SAR processing.

Anyway, feel free to ping me in issues on github or even join us on the pytroll slack (see pytroll.github.io) if you want to discuss further.

Bon week-end!
Martin