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Sep 15, 2025
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Add FPAR notebooks #81

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2 changes: 1 addition & 1 deletion datasets/open-data.mdx
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Expand Up @@ -20,7 +20,7 @@ By using the [datasets API](/datasets), you can start prototyping your applicati
## Available datasets

<Tip>
The Tilebox Console contains in-depth descriptions of each dataset. Check out the [Sentinel 5P Tropomi](https://console.tilebox.com/datasets/explorer/bb394de4-b47f-4069-bc4c-6e6a2c9f0641?view=documentation) documentation as an example.
The Tilebox Console contains in-depth descriptions of each dataset. Check out the [Sentinel 5P Tropomi](https://console.tilebox.com/datasets/explorer/bb394de4-b47f-4069-bc4c-6e6a2c9f0641) documentation as an example.
</Tip>

### Copernicus Data Space
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24 changes: 16 additions & 8 deletions sdks/python/sample-notebooks.mdx
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Expand Up @@ -19,23 +19,22 @@ More examples can be found throughout the docs.
### Notebook overview

<AccordionGroup>
{/*<Accordion title="Tilebox ERS Opendata Demo">
This notebook demonstrates how to use the Python client to query metadata from the ERS-SAR Opendata dataset. It shows how to filter results by geographical location and download product data for a specific granule.
<Accordion title="ERS Opendata Access">
This notebook demonstrates how to use to query metadata from the ERS-SAR Opendata dataset. It shows how to filter results by geographical location and download product data for a specific granule.

[<Icon icon="arrow-up-right-from-square" /> Open in
Colab](https://colab.research.google.com/drive/1LTYhLKy8m9psMhu0DvANs7hyS3ViVpas)

</Accordion>*/}
<Accordion title="Tilebox S5P Tropomi Methane Data Access">
This notebook illustrates how to use the Python client to query the S5P Tropomi Opendata dataset for methane products. It also explains how to filter results based on geographical location and download product data for a specific granule.
</Accordion>
<Accordion title="S5P Tropomi Methane Data Access">
This notebook illustrates how to query the S5P Tropomi Opendata dataset for methane products. It also explains how to filter results based on geographical location and download product data for a specific granule.

[<Icon icon="arrow-up-right-from-square" /> Open in
Colab](https://colab.research.google.com/drive/1eVYARNFnTIeQqBs6gqeay01EDvRk2EI4)

</Accordion>
<Accordion title="MODIS-based Custom Dataset Ingestion Demo">
This notebook demonstrates how to ingest data into a Custom Dataset. In this case it's using a sample dataset from the [MODIS instrument](https://lpdaac.usgs.gov/products/mcd12q1v006/) which
is already prepared.
<Accordion title="MODIS-based Dataset Ingestion">
This notebook demonstrates how to ingest data into a Dataset. In this case it's using a prepared sample dataset from the [MODIS instrument](https://lpdaac.usgs.gov/products/mcd12q1v006/).

[<Icon icon="arrow-up-right-from-square" /> Open in
Colab](https://colab.research.google.com/drive/1QS-srlWPMJg4csc0ycn36yCX9U6mvIpW)
Expand All @@ -51,6 +50,15 @@ More examples can be found throughout the docs.
Github](https://github.com/tilebox/examples/tree/main/s2-cloudfree-mosaic)

</Accordion>
<Accordion title="Generate VCI and FPAR visualizations">
A workflow for calculating the Vegetation Condition Index (VCI) from FPAR data. It can be run on one or more local machines or on a cloud cluster.

[<Icon icon="arrow-up-right-from-square" /> View on YouTube](https://youtu.be/s4wzyX9adWo)

[<Icon icon="arrow-up-right-from-square" /> Open in
Github](https://github.com/tilebox/fpar-based-vci-example)

</Accordion>
</AccordionGroup>

Execute cells one by one using `Shift+Enter`. Most commonly used libraries are pre-installed.
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