Implement Pangeo notebooks

[tinaok]

Identify the notebooks from pangeo-openeo-BiDS-2023/tutorial
/part3
Update and implement them.

[annefou]

for now I worked on the data access using Pangeo approach and created the corresponding notebooks for the "Data Access" section. See https://github.com/annefou/cubes-and-clouds/tree/main/lectures/2.3_data_access/exercises/_alternatives

[annefou]

Also added & tested snow cover on Pangeo@EOSC:

• Jupyter notebook: https://github.com/annefou/cubes-and-clouds/blob/main/lectures/3.1_data_processing/3.1_exercises/_alternatives/31_data_processing_pangeo.ipynb
• Rendered notebook: https://annefou.github.io/cubes-and-clouds/3.1_data_processing/3.1_exercises/_alternatives/31_data_processing_pangeo.html

We would need to test it on EOX and better integrate it into the EO-College course.

[clausmichele]

@annefou thanks for the PR!
I now had finally time to go through them and I have a couple of feedbacks and thoughts:

• Filtering with the cloud cover is also possible directly when querying the STAC Catalog. Do you think it's worth to mention or not? Notebook https://github.com/annefou/cubes-and-clouds/blob/main/lectures/2.3_data_access/exercises/_alternatives/pangeo_data_access_filter.ipynb Code to do that:

URL = "https://earth-search.aws.element84.com/v1"
catalog = pystac_client.Client.open(URL)
items = catalog.search(
    bbox=spatial_extent,
    collections=["sentinel-2-l2a"],
    query={"eo:cloud_cover":dict(lt=50)}
).item_collection()

datacube = stackstac.stack(items,
                     bounds_latlon=spatial_extent,
)
datacube

• In the reduce notebook https://github.com/annefou/cubes-and-clouds/blob/main/lectures/2.3_data_access/exercises/_alternatives/pangeo_data_access_reduce.ipynb there is still the openEO process reduce_spatial mentioned. Additionally, the groupby method is mentioned at the beginning but never used. Maybe it would be interesting to show various approaches? The xarray.DataArray.reduce is also valid and has the same name as in openEO.

[clausmichele]

Also added & tested snow cover on Pangeo@EOSC:

* Jupyter notebook: https://github.com/annefou/cubes-and-clouds/blob/main/lectures/3.1_data_processing/3.1_exercises/_alternatives/31_data_processing_pangeo.ipynb

* Rendered notebook: https://annefou.github.io/cubes-and-clouds/3.1_data_processing/3.1_exercises/_alternatives/31_data_processing_pangeo.html

We would need to test it on EOX and better integrate it into the EO-College course.

It looks really good, I like how you improved it compared to the old version.

[clausmichele]

Also added & tested snow cover on Pangeo@EOSC:

* Jupyter notebook: https://github.com/annefou/cubes-and-clouds/blob/main/lectures/3.1_data_processing/3.1_exercises/_alternatives/31_data_processing_pangeo.ipynb

* Rendered notebook: https://annefou.github.io/cubes-and-clouds/3.1_data_processing/3.1_exercises/_alternatives/31_data_processing_pangeo.html

We would need to test it on EOX and better integrate it into the EO-College course.

I have some feedbacks in this PR annefou#1