You are welcome to submit your abstract for the session we are co-organizing „New opportunities and insights from Copernicus satellite imagery open data infrastructures”.

This session aims to connect developers and users to explore the technical aspects and opportunities of the Copernicus Data Space Ecosystem, emphasizing practical use cases and ongoing projects in geoscience research and development. User perspective is very valuable and all the ideas shared will help build the recently launched Copernicus Data Space Ecosystem that we proudly contribute to. Deadline for abstracts: January 10, 2024.

Not sure how to submit an abstract for EGU2024? See useful guidelines.

EGU General Assembly is one of the most prestigious events in the EO sector attracting over 19,000 participants from 120+ countries! It is organised by European Geosciences Union (EGU)  - an international union of scientists with about 19,500 members from all over the world.

Copernicus Data Space Ecosystem has become the primary source of Earth Observation data from the Copernicus space programme in November 2023. Since the kick-off in January 2023, the number of users has grown significantly, reaching 95 000 in mid-December. The users come from worldwide Earth Observation communities, including science, universities and the general public.

As of now, the priority was set to provide access to the user-level EO datasets, which were enriched recently with new data, including Auxiliary, Engineering and POD type, which are mainly accessible to expert users only. In addition, the new Sentinel-2 Quarterly Mosaics are available on the Copernicus Browser in the Visualize panel, providing the ability to view the EO data in a very user-friendly manner, with zooming and 3D options available. This is a significant change compared to the legacy service, bringing the new service to the level of top-performing EO services worldwide.

All services available on the Copernicus Data Space Ecosystem are free of charge, enabling the execution of most use cases. Any user whose needs exceed the capacity and quotas on Copernicus Data Space Ecosystem is welcome to log in with a federated identity on CREODIAS to access a broader set of services or on a larger scale.

In parallel to the Copernicus Data Space Ecosystem, we gradually enrich the offering of other services provided on CREODIAS, to develop the European EO ecosystem that is accessible to all users at any scale.

Without resting on the laurels, the Copernicus Data Space Ecosystem roadmap of new services for the New Year is impressive. It includes On-Demand Production for Sentinel-1, Sentinel-2, and Sentinel-3 products, further development of STAC API, delivery of Sentinel-1 bursts and the integration of Copernicus Contributing Missions datasets. All mentioned services will be gradually available from the first quarter of 2024. The above is just a snapshot of features and enrichments that are in development at this moment.

Kubernetes clusters can be provisioned on WAW3-2 cloud via OpenStack Magnum, in a platform as a service model. We have now added the capability of provisioning master nodes of these clusters with fast NVMe storage. Thus, the etcd key-value store is deployed and accessible with low latency.

This scenario is especially relevant for data-intensive applications on clusters with high load and multiple K8s resources to ensure robust operations. To apply the feature, create a cluster with HMAD flavor master nodes, and add a relevant label during cluster creation in the Horizon GUI.

Check out the knowledge base article to find out more.

GPUs (Graphics Processing Units) feature multi-core architecture that enables highly parallel workloads. With specific algorithms especially in the field of Machine Learning, GPUs greatly outmatch the performance of modern CPU units.

On WAW3-1 cloud, you can now combine the power of vGPU with the capabilities of CloudFerro Kubernetes as a Service, which features autoscaling and native integration with other cloud services. You can now create a new K8s cluster consisting of vGPU worker nodes from the Horizon GUI in a few minutes. You can also add vGPU nodes to an existing cluster.

For more information, read an article about vGPU in K8s Knowledge Base.