Pangeo

About

On EarthCODE, Pangeo is provided through the Euro Data Cube (EDC) EOxHub Workspace. Pangeo offers a powerful, interactive environment for scalable geoscience, built on an open-source ecosystem of key Python tools including Jupyter, Xarray, Dask, STAC, and Zarr. It is designed for scientists to scale to massive, cloud-based Earth Observation datasets with little to no changes to your python workflows.

Learn more at pangeo.io

Developing and Publishing Workflows & Data

You develop workflows within the managed EDC EOxHub Workspace, an interactive JupyterLab environment. This setup allows you to use Dask Gateway to seamlessly scale your analysis from a single notebook to a powerful compute cluster.

Detailed instructions and examples are available in the EarthCODE tutorials. An example is available at Delta NBR Workflow, which shows how to process Sentinel-2 data.

• Example Workflow: Delta NBR Workflow Example
• All Tutorials: EarthCODE Tutorial Pages

Data Access

The platform is designed to work with Analysis-Ready, Cloud-Optimized (ARCO) data formats like Zarr and Cloud-Optimized GeoTIFFs (COGs). Data can be discovered and loaded using STAC or Intake catalogs.

Specialised Hardware & Services

The main specialized service is on-demand, scalable parallel computing using Dask Gateway. This allows you to create and manage large compute clusters directly from your notebook to process petabyte-scale datasets.

Visualization Tools

You can visualize data directly within your notebook using standard Python libraries, including Matplotlib, Cartopy, and the HoloViz suite for creating powerful interactive plots.

Right Sizing and Network of Resources

Access the Pangeo environment via the EDC EOxHub Workspace offering on the Network of Resources (NoR). You can select a server size for your base Jupyter environment and scale out your computation using a Dask cluster for heavy processing.

Network of Resources (NoR) Sponsorship!

ESA offers sponsorship to eligible entities to cover the costs of using cloud services for Earth Observation. You can apply to sponsor your project's compute and data access at: https://nor-discover.org/

Tutorials

A complete set of tutorials for learning how to use Pangeo in EarthCODE is available here:

• EarthCODE Tutorial Pages

Support and Communities

• Pangeo Community Forum: For general questions about Pangeo and the scientific Python ecosystem, visit the Pangeo Discourse.
• EarthCODE Support: For issues related to the EarthCODE platform integration, please use the designated support channels.

Full Documentation Can be Found At

For complete documentation on the Pangeo project, please visit the official website:

• https://pangeo.io/