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add zarr example
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‎PRR/example_tccas.ipynb‎

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"source": [
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"# ESA Project Results Repository: Generating STAC collections with multiple assets\n",
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"\n",
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"This notebook shows how to generate a valid STAC collection, which is a requirement to upload research outcomes to the [ESA Project Results Repository (PRR)](https://eoresults.esa.int/). It focuses on generating metadata for a project with a multiple data files of different types. \n",
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"This notebook shows how to generate a valid STAC collection, which is a requirement to upload research outcomes to the [ESA Project Results Repository (PRR)](https://eoresults.esa.int/). It focuses on generating metadata for a project with multiple data files of different types. \n",
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"\n",
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"Check the [EarthCODE documentation](https://earthcode.esa.int/), and [PRR STAC introduction example](https://esa-earthcode.github.io/examples/prr-stac-introduction) for a more general introduction to STAC and the ESA PRR.\n",
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"\n",
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "60ad7781",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "code",
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/tmp/ipykernel_12458/2301298067.py:9: UserWarning: no explicit representation of timezones available for np.datetime64\n",
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"/tmp/ipykernel_47640/2301298067.py:9: UserWarning: no explicit representation of timezones available for np.datetime64\n",
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" ts = (start_time - np.datetime64('1970-01-01T00:00:00Z')) / np.timedelta64(1, 's')\n",
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"/tmp/ipykernel_12458/2301298067.py:5: FutureWarning: In a future version of xarray decode_timedelta will default to False rather than None. To silence this warning, set decode_timedelta to True, False, or a 'CFTimedeltaCoder' instance.\n",
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"/tmp/ipykernel_47640/2301298067.py:5: FutureWarning: In a future version of xarray decode_timedelta will default to False rather than None. To silence this warning, set decode_timedelta to True, False, or a 'CFTimedeltaCoder' instance.\n",
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" ds = xr.open_dataset(root_url + dataset_filepath + '#mode=bytes')\n",
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"/tmp/ipykernel_12458/2301298067.py:9: UserWarning: no explicit representation of timezones available for np.datetime64\n",
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"/tmp/ipykernel_47640/2301298067.py:9: UserWarning: no explicit representation of timezones available for np.datetime64\n",
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" ts = (start_time - np.datetime64('1970-01-01T00:00:00Z')) / np.timedelta64(1, 's')\n"
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"<Link rel=item target=<Item id=tccas-sodankylae-insitu_package>>"
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"<Link rel=item target=<Item id=tccas-sodankylae-model_forcing>>"
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"<Link rel=item target=<Item id=tccas-sodankylae-documentation>>"
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"id": "33d4ffee",
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"source": [
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"## 4. Save the metadata as a self-contained collection"
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"## 3. Save the metadata as a self-contained collection"
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" \n",
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" <li class=\"pystac-row\">\n",
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" <span class=\"pystac-k\">href</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/oneones/data/example_catalog/collection.json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/collection.json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/oneones/data/example_catalog/tccas-sodankylae-fraction_of_absorbed_photosynthetic_active_radiation_leaf_area_index_(jrc-tip)/tccas-sodankylae-fraction_of_absorbed_photosynthetic_active_radiation_leaf_area_index_(jrc-tip).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/tccas-sodankylae-fraction_of_absorbed_photosynthetic_active_radiation_leaf_area_index_(jrc-tip)/tccas-sodankylae-fraction_of_absorbed_photosynthetic_active_radiation_leaf_area_index_(jrc-tip).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/oneones/data/example_catalog/tccas-sodankylae-brightness_temperature_(smos_tb)/tccas-sodankylae-brightness_temperature_(smos_tb).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/tccas-sodankylae-brightness_temperature_(smos_tb)/tccas-sodankylae-brightness_temperature_(smos_tb).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/oneones/data/example_catalog/tccas-sodankylae-soil_moisture_and_vegetation_optical_depth_(smos_sm_and_smos_l-vod)/tccas-sodankylae-soil_moisture_and_vegetation_optical_depth_(smos_sm_and_smos_l-vod).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/tccas-sodankylae-soil_moisture_and_vegetation_optical_depth_(smos_sm_and_smos_l-vod)/tccas-sodankylae-soil_moisture_and_vegetation_optical_depth_(smos_sm_and_smos_l-vod).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/oneones/data/example_catalog/tccas-sodankylae-solar_induced_chlorophyll_fluorescence_(sentinel_5p)/tccas-sodankylae-solar_induced_chlorophyll_fluorescence_(sentinel_5p).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/tccas-sodankylae-solar_induced_chlorophyll_fluorescence_(sentinel_5p)/tccas-sodankylae-solar_induced_chlorophyll_fluorescence_(sentinel_5p).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/oneones/data/example_catalog/tccas-sodankylae-slope_(ascat_slope)/tccas-sodankylae-slope_(ascat_slope).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/tccas-sodankylae-slope_(ascat_slope)/tccas-sodankylae-slope_(ascat_slope).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/tccas-sodankylae-photochemical_reflectance_index_(modis_pri)/tccas-sodankylae-photochemical_reflectance_index_(modis_pri).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/tccas-sodankylae-land_surface_temperature_(modis_lst)/tccas-sodankylae-land_surface_temperature_(modis_lst).json\"</span>\n",
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" <span class=\"pystac-v\">\"/home/krasen/examples/PRR/data/example_catalog/tccas-sodankylae-solar_induced_chlorophyll_fluorescence_(oco-2_sif)/tccas-sodankylae-solar_induced_chlorophyll_fluorescence_(oco-2_sif).json\"</span>\n",
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},
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"metadata": {

‎PRR/index.md‎

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Below you will find guides to the whole process, we recomend starting with the introductory notebook.
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- [Generating a STAC Collection for the PRR(Introduction)](./PRR_STAC_introduction.ipynb) - A notebook explaining how to create the required PRR metadata. It describes the steps in detail and uses a relatively simple example, with a single .nc raster data file.
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- [Generating STAC collections with zarr files](./Creating%20STAC%20Catalog_from_PRR_example.ipynb) - Example how to generate metadata for a product with zarr files.
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- [Generating a STAC Collection for the PRR (Multiple file types)](./example_tccas.ipynb) - Example how to generate metadata for a more complicated dataset which has multiple types of data and different file formats.
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- [Generating a STAC Collection for the PRR(Large dataset for multiple regions)](./Creating%20STAC%20Catalog_from_PRR_example.ipynb) - Example how to generate metadata for a large dataset that has multiple disjoint regions.
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- [Generating a STAC Collection for the PRR(Large dataset for multiple regions)](./prr_zarr.ipynb) - Example how to generate metadata for a large dataset that has multiple disjoint regions.
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If you are interested in exploring/downloading PRR data you can use this notebook as a guide:
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- [ESA Project Results Repository (PRR) Data Access and Collections Preview](./PRR_STAC_download_example.ipynb) - A notebook explaining how Item Catalogs should be created, uses raster data.

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