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The European Geosciences Union (EGU) was held at the Austria Center Vienna (ACV) and online, from the 4th-8th May 2026. The assembly is open to the scientists of all nations. During this conference the Galaxy for Earth System Science (GESS) was there and presented the community and its works through talks and posters.

An inspiring talk

3Dtrees.earth: bringing forest LiDAR point clouds into Galaxy

Finally, the 3Dtrees team from the University of Freiburg, Germany, had the chance to present what they have been working on over the past months: 3Dtrees.earth. The platform aims to make forest LiDAR point clouds easier to access, visualize, process, and share. Built on the expertise and computational resources of the Galaxy project, 3Dtrees.earth connects research data management with scalable, reproducible workflows for forest structure analysis.

During the presentation, we showed the latest developments of the platform were shown, including in-browser 3D visualization, dataset access, and automated processing workflows. We also shared some of our future plans for building a more open and collaborative community around close-range forest LiDAR data.

We hope that our own excitement for 3Dtrees.earth came across and that other scientists could also get inspired by the platform’s potential for open, collaborative forest LiDAR research.

Thanks a lot for all the inspiring discussions, helpful feedback, and great meetings during EGU 2026! Kilian Gerberding

Multiple beautiful posters

Galaxy For Earth System Science (GESS): An open platform for analysis, sharing, and training !

This poster provides an overview of Galaxy for Earth System Sciences. It presents the platform, its representative tools and workflows, and the associated training ecosystem. Finally, it shows some lessons learned from deploying GESS, and perspectives for further development to support Earth system science.

Galaxy For Earth System Science (GESS): An open platform for analysis, sharing, and training !

Operationalising essential ocean variables through robust and trusted QCV Workflows

This poster introduces the biogeochemical Argo data, before providing a concrete illustration of a complete nitrate QCV workflow. It details the service implementation through interoperable workflows on the Galaxy platform and its deployment within the European Open Science Cloud (EOSC).

Operationalising essential ocean variables through robust and trusted QCV Workflows

These posters where presented by teams and people from the Data Terra research infracture. Data Terra is greatly supporting GESS to grow !

The follow-up

During this really fruitful conference, we were able to get in touch with multiple scientists interested in getting their hands on Galaxy. We hope they will reach again to contribute to GESS !

Some photos of the event

Marie poster presentation Kilians talk on the new 3Dtrees.earth platform Data Terra's team