We would like to have a link to do git pull automatically as we had for foss4g tutorial session.
On foss4g, we had a link as follows;

https://pangeo-foss4g.vm.fedcloud.eu/jupyterhub/hub/user-redirect/git-pull?repo=https%3A//github.com/pangeo-data/foss4g-2022&urlpath=lab/tree/foss4g-2022/tutorial/pangeo101/&branch=main

So I imagine that we need something like this.

https://pangeo-eosc.vm.fedcloud.eu/jupyterhub/hub/user-redirect/git-pull?repo=https%3A//github.com/pangeo-data/pangeo-openeo-BiDS-2023&urlpath=lab/tree/pangeo-openeo-BiDS-2023/tutorial/part1/&branch=main

But it is not working. I think for foss4g @guillaumeeb made it happen, does anyone have any idia how to make it work?

• Update obsolete commands
• Put visibilities of 'Zarr' in table of contents and/or title
• Fix warning on hdf.SingleHdf5ToZarr
• update example for exporting zarr,
• add intake
• put intake catalogue on s3? update file path name update from foss4g to ?

@pl-marasco @acocac

In a new environment with Python 3.10 and latest xarray 2023.9.0 (probably something changed recently) I'm getting this kind of errors in various notebooks:

import xarray as xr

catalogue="https://object-store.cloud.muni.cz/swift/v1/foss4g-catalogue/c_gls_NDVI-LTS_1999-2019.json"
LTS = xr.open_mfdataset(
    "reference://", engine="zarr",
    backend_kwargs={
        "storage_options": {
            "fo":catalogue
                    },
        "consolidated": False
    }
)
LTS

Error:

File ~/anaconda3/envs/stac_310/lib/python3.10/site-packages/zarr/storage.py:1382, in FSStore.__init__(self, url, normalize_keys, key_separator, mode, exceptions, dimension_separator, fs, check, create, missing_exceptions, **storage_options)
   1380 else:
   1381     if storage_options:
-> 1382         raise ValueError("Cannot specify both fs and storage_options")
   1383     self.fs = fs
   1384     self.path = self.fs._strip_protocol(url)

ValueError: Cannot specify both fs and storage_options

Left top logo only contains pangeo, add openeo logo next?

          In the `xarray_hands_on` notebook, I'm getting this error:

DriverError: '/vsizip/vsicurl/https://mars.jrc.ec.europa.eu/asap/files/gaul1_asap.zip' does not exist in the file system, and is not recognized as a supported dataset name.

Not sure if it's due to my environment.

Originally posted by @clausmichele in #6 (comment)

room 0.49

• update dask from 2022-> now, verify that runs in the updated versions.
• change path of ../figures to ./figures, and move figures to part3/figures/xx, update figures.

Explain how to connect the pangeo-eosc infrastructure. @annefou will add a slide for that.
May be @bschumac would like to add about the OpenEO trial EGI login & password distribution here?

@acocac any idia how to fix it?

• take out Enroll to the vo.notebooks.egi.eu ?
• update the infrastructure from foss4g to pangeo-eosc (https://github.com/pangeo-data/pangeo-eosc/blob/main/users/users-getting-started.md)

https://pangeo-data.github.io/pangeo-openeo-BiDS-2023/part2/openEO%20-%20Client%20Side%20Land%20Cover%20Alps.html
OpenEO connection would not work as no one click it from jupyterbook build!
Probably we need to deactivate automatic run? How can we do it? @acocac

We would like to update the contributors adding OpenEO contributors

This an overview of the proposed TOC according to #14. We can open separate issues by converting each of the checkboxes to issues.

• caption: About
  chapters:

  • file: about/timeline

• caption: Before the workshop
  chapters:

  • #26
  • file: before/free_trial

• caption: Part 1 - Pangeo
  chapters:

  • #17
  • file: part1/overview
  • file: part1/xarray_pitfalls
  • file: part1/visualization

• caption: Part 2 - OpenEO

  • file: part2/agenda_and_links
  • file: part2/advanced_workflows
  • file: part2/stac_metadata

• caption: Part 3
  chapters:

  • file: part3/data_discovery
  • file: part3/data_exploitability_openEO
  • file: part3/data_exploitability_pangeo
  • #19
  • #23
  • file: part3/scaling_openEO
  • file: part3/advanced_udf
  • #31
  • #28

• caption: Beyond the workshop
  chapters:

  • file: afterword/resources
  • #92
  • file: afterword/envds-book

• Add small explanation about apply_ufunc on snow-pangeo example

          In the `wildfires` notebook there's an issue with the used SATC Catalog from Element84, since the v0 is no more updated.

# prefire data
time_range = "2021-08-10/2021-08-16"

query1 = catalog.search(
    collections=["sentinel-s2-l2a-cogs"], datetime=time_range, limit=100,
    bbox=bbox, query={"eo:cloud_cover": {"lt": 0.5}},
)

items = list(query1.get_items())
print(f"Found: {len(items):d} datasets")

items_pre = min(items, key=lambda item: item.properties["eo:cloud_cover"])

prefire_ds = stac_load(
    [items_pre],
    bands=("B08", "B12"),
    crs=crs,
    resolution=10 * zoom,
    chunks={},  # <-- use Dask
    groupby="datetime",
    bbox=bbox,
)

returns:

DoesNotConformTo: Server does not conform to ITEM_SEARCH, There is not fallback option available for search.

We need to switch to this one:

catalog = Client.open("https://earth-search.aws.element84.com/v1")

with this collection

query1 = catalog.search(
    collections=["sentinel-2-l2a"], datetime=time_range, limit=100,
    bbox=bbox, query={"eo:cloud_cover": {"lt": 0.5}},
)

band names are also different:

bands=("nir", "swir22"),

Originally posted by @clausmichele in #6 (comment)