Jupyter notebook for accessing the Copernicus Land Monitoring Service - High Resolution Water, Snow & Ice (HR-WSI) products

Description

This notebook was partially presented at the HR-WSI webinar dedicated to snow products, on 19/05/2026. This notebook demonstrates how to access, filter, download, and visualize HR-WSI snow products using the OData API from the Copernicus Data Space Ecosystem (CDSE). Although focused on snow products, the workflow can be adapted to other HR-WSI datasets provided the corresponding OData DatasetID is known. The notebook includes examples of querying and downloading products based on:

• A specific dataset
• A user-defined date range
• An Area of Interest (AOI) defined either by:
  • a WKT geometry, or
  • a custom shapefile
• A maximum cloud cover threshold

In addition, the notebook demonstrates how to:

• Visualize HR-WSI snow products with their associated legends
• Display data at both:
  • Sentinel-2 tile level, and
  • AOI level
• Plot products clipped to a user-defined shapefile
• Use quality layers to filter the information according to selected quality criteria It can be run on the JupyterLab environment offered by the CDSE. To run it locally, follow the instructions below.

Visit the CLMS portal land.copernicus.eu for more details on the HR-WSI products (documentation, production or dissemination updates).

Contact

Copernicus Land Monitoring Service service desk: https://land.copernicus.eu/en/contact-service-helpdesk

Installation to run the notebook locally on Visual Studio Code

[Prerequiste] Install Conda (https://docs.conda.io/projects/conda/en/stable/user-guide/install/linux.html) Install Visual Studio Code (https://code.visualstudio.com/download)

A Python environment is needed with the packages described in the ypnb_env.yaml file:

conda env create -f ypnb_env.yaml # to create a new Python environment with Conda

The environment is called ypnb_env. It has to be activated.

conda activate ypnb_env

The environment can be removed with conda deactivate ypnb_env and called later with conda activate ypnb_env.

Run the Jupyter notebook .ypnb in Visual Studio using the ypnb_env environment.

Legal notice about Copernicus Data

Access to data is based on a principle of full, open and free access as established by the Copernicus data and information policy Regulation (EU) No 1159/2013 of 12 July 2013. This regulation establishes registration and licensing conditions for GMES/Copernicus users and can be found here: http://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32013R1159.

Free, full and open access to this data set is made on the conditions that:

1. When distributing or communicating Copernicus dedicated data and Copernicus service information to the public, users shall inform the public of the source of that data and information.
2. Users shall make sure not to convey the impression to the public that the user's activities are officially endorsed by the Union.
3. Where that data or information has been adapted or modified, the user shall clearly state this.
4. The data remain the sole property of the European Union. Any information and data produced in the framework of the action shall be the sole property of the European Union. Any communication and publication by the beneficiary shall acknowledge that the data were produced “with funding by the European Union”.