radiant-mlhub-landcovernet example failing

Abre tutorials/radiant-mlhub-landcovernet.ipynb y vuelve a ejecutar la celda que establece collection_id en ref_landcovernet_v1_labels y llama a client.get_collection. Comprueba si esa colección sigue existiendo y si el ejemplo identifica una alternativa disponible. Se considera terminado cuando la búsqueda de la colección tiene éxito y el notebook ya no falla en este paso.

The landcovernet example at https://github.com/microsoft/PlanetaryComputerExamples/blob/main/tutorials/radiant-mlhub-landcovernet.ipynb is currently failing for me.

>>> collection_id = "ref_landcovernet_v1_labels"
>>> collection = client.get_collection(collection_id)

---------------------------------------------------------------------------
APIError                                  Traceback (most recent call last)
File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac_client/stac_api_io.py:136, in StacApiIO.request(self, href, method, headers, parameters)
    135 if resp.status_code != 200:
--> 136     raise APIError(resp.text)
    137 return resp.content.decode("utf-8")

APIError: {"detail":"Collection ref_landcovernet_v1_labels does not exist."}

During handling of the above exception, another exception occurred:

APIError                                  Traceback (most recent call last)
Input In [4], in <cell line: 3>()
      1 collection_id = "ref_landcovernet_v1_labels"
----> 3 collection = client.get_collection(collection_id)
      4 collection_sci_ext = ScientificExtension.ext(collection)
      5 print(f"Description: {collection.description}")

File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac_client/client.py:92, in Client.get_collection(self, collection_id)
     90 if self._stac_io.conforms_to(ConformanceClasses.COLLECTIONS):
     91     url = f"{self.get_self_href()}/collections/{collection_id}"
---> 92     collection = CollectionClient.from_dict(self._stac_io.read_json(url), root=self)
     93     return collection
     94 else:

File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac/stac_io.py:197, in StacIO.read_json(self, source, *args, **kwargs)
    178 def read_json(
    179     self, source: Union[str, "Link_Type"], *args: Any, **kwargs: Any
    180 ) -> Dict[str, Any]:
    181     """Read a dict from the given source.
    182 
    183     See :func:`StacIO.read_text <pystac.StacIO.read_text>` for usage of
   (...)
    195         given source.
    196     """
--> 197     txt = self.read_text(source, *args, **kwargs)
    198     return self.json_loads(txt)

File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac_client/stac_api_io.py:77, in StacApiIO.read_text(self, source, parameters, *args, **kwargs)
     75 href = source
     76 if bool(urlparse(href).scheme):
---> 77     return self.request(href, *args, parameters=parameters, **kwargs)
     78 else:
     79     with open(href) as f:

File /srv/conda/envs/notebook/lib/python3.8/site-packages/pystac_client/stac_api_io.py:139, in StacApiIO.request(self, href, method, headers, parameters)
    137     return resp.content.decode("utf-8")
    138 except Exception as err:
--> 139     raise APIError(str(err))

APIError: {"detail":"Collection ref_landcovernet_v1_labels does not exist."}

cc @KennSmithDS. Do you know if that collection ID was deliberately removed? Is there a good alternative?