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Update data_exploitability_openEO.ipynb #57

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Nov 3, 2023
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34 changes: 32 additions & 2 deletions tutorial/part3/data_exploitability_openEO.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -19,9 +19,39 @@
"\n",
"## Snow and Cloud Cover Example\n",
"\n",
"The notebook is hosted in the cubes and clouds GitHub repository. It may require to install some additional libraries:\n",
"The notebook is hosted in the cubes and clouds GitHub repository.\n",
"\n",
"https://github.com/EO-College/cubes-and-clouds/blob/main/lectures/3.1_data_processing/exercises/_alternatives/31_data_processing_stac.ipynb"
"The snow and cloud cover example is available in different versions:\n",
"\n",
"1. Using openEO Platform here: https://github.com/EO-College/cubes-and-clouds/blob/main/lectures/3.1_data_processing/exercises/_alternatives/31_data_processing_openEO_Platform.ipynb\n",
"2. Using the opneEO Client Side Processing here (It may require to install some additional libraries): https://github.com/EO-College/cubes-and-clouds/blob/main/lectures/3.1_data_processing/exercises/_alternatives/31_data_processing_stac.ipynb\n",
"\n",
"The second example runs the openEO workflow on the client resources, in the same way as a Pangeo based Python code would do. The openEO processes are implemented using Dask and xArray and are available in this repository: https://github.com/Open-EO/openeo-processes-dask"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"We can copy the notebooks here using the next cells:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!curl --output 31_data_processing_openEO_Platform.ipynb --url \"https://raw.githubusercontent.com/EO-College/cubes-and-clouds/main/lectures/3.1_data_processing/exercises/_alternatives/31_data_processing_openEO_Platform.ipynb\""
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"!curl --output 31_data_processing_stac.ipynb --url \"https://raw.githubusercontent.com/EO-College/cubes-and-clouds/main/lectures/3.1_data_processing/exercises/_alternatives/31_data_processing_stac.ipynb\""
]
}
],
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