A new feature enables WEkEO users to visualise remotely stored data cubes directly on the WEkEO Jupyter Hub, further expanding the value proposition of WEkEO. The xcube Viewer app, fully integrated into WEkEO’s Jupyter Hub environment, allows to visualize and explore climate and environmental Earth Observation data, as well as generating meaningful insights through time series and spatial analysis.
With the latest feature, WEkEO users can now visualize remotely stored data cubes directly on the WEkEO Jupyter Hub. Moreover, users no longer need to launch the xcube Viewer app on their PCs; they can now launch it directly on the WEkEO Jupyter Hub, simplifying operations and minimizing the use of local computing resources.
Streaming data cubes hosted in remote virtual storage unlocks numerous possibilities. For example, users can explore publicly available data cubes like the Earth System Data Cube (ESDC), which includes over 50 environmental variables. A guide for exploring the ESDC can be found in this Jupyter Notebook.
On top of that, users can also share their own data cubes by storing them on an S3 bucket, also accessible through the WEkEO commercial offer or as part of the WEkEO Innovation Lab and provide example notebooks via the xcube Viewer app launched on the WEkEO JupyterHub. This is particularly useful for sharing scientific results and for training purposes.
xcube is an open-source Python package used to convert Earth Observation data into self-contained data cubes. The software is expanded and maintained by Brockmann Consult GmbH. WEkEO features a series of Jupyter Notebooks that will guide you throughout the use of the app, from creating a configuration file to visualising the data.

The WEkEO Workspace now supports GPU resources, allowing users to significantly accelerate deep learning and machine learning workflows. This enhancement is ideal for demanding data processing tasks.

WEkEO is proud to introduce a new integrated solution to interact with its extensive portfolio of environmental datasets: the Earthkit WEkEO plugin. By integrating the WEkEO Harmonized Data Access (HDA) into the Earthkit package, users can now directly access and manipulate WEkEO data through Earthkit, an open-source Python interface designed by the European Centre for Medium-Range Weather Forecasts (ECMWF) to facilitate access to weather and climate science data and streamline workflows.

As demand for accessible, high-quality environmental data continues to grow, WEkEO is raising the bar to empower users at every stage of their journey. This season, the platform is unveiling an ambitious training programme designed to give participants the knowledge and tools to make the most of Copernicus Earth Observation data.