ECCopernicus

Copernicus and Sentinel data at your fingertips

Near-real time data from models, satellites and in-situ

From Copernicus Atmosphere, Climate, Marine and Land services

In [1]:

Jupyter Training Material

Out[1]:

Explore Copernicus and Sentinel data: Atmosphere, Climate, Land, Ocean and cross-discipline Machine Learning.

Process all WEkEO data in our cloud infrastructure. It's free!

Next events:

See all our upcoming events as well as get access to our past events and resources, all of which are free upon registration.

WEkEO is the EU Copernicus DIAS reference service for environmental data, virtual processing environments and skilled user support. A platform for all audiences.

WEkEO DIAS, the Copernicus data access platform is committed to granting its users the best experience in accessing environmental data from the Copernicus Sentinel satellites and services. In addition to providing harmonised access to the original data sources, WEkEO features a Jupyter Catalogue, a gallery with freely accessible and user-friendly training materials – Jupyter Notebooks. The catalogue is regularly updated, and future Notebooks will guide users through new data and share more examples of different applications.

December 8, 2023

WEkEO continues to expand its value offer as new tools are made available on its platform. Users will now be able to take advantage of WEkEO Plugins for CliMetLab and the xcube Python package. Combined, these tools enable facilitated access to Copernicus data and provide new ways to visualise and interact with multiple datasets at once.

November 28, 2023

Earlier this summer, our User Experience and Capacity Development Manager Fabrice Messal introduced the main tools of WEkEO to an audience of journalists, data visualisers and researchers, illustrating how they can take advantage of Earth Observation data for storytelling.

September 8, 2023

On 22 and 23 June, almost 400 participants joined the WEkEO hackathon 2023, taking on the challenge to design innovative data-intense solutions to positively impact our environment. Among the winning solutions we count prediction models on changing scenarios of critical coastal ecosystems, educational solutions using EO data to highlight environmental impacts and a novel use of WEkEO data to train AI models for hyperlocal weather forecasts.

August 22, 2023
Any questions or comments?