Join the meeting in seconds - Dive into Data with Brockmann Consult - GoTo | Brockmann Consult GmbH 📢 We will deliver the next #GEOAquaWatch Webinar on 11 December 2025 (12:00 UTC / 13:00 CET) "From Data to Insight: Interactive Earth Observation Workflows with xcube" -- Join us for a deep dive into ...

The next @geoaquawatch.bsky.social webinar on 11 December 2025 (13:00 CET) will be delivered by @brockmannconsult.bsky.social colleagues. 😍
"From Data to Insight: Interactive #EarthObservation Workflows with #xcube".

👉 More info and how to join: www.geoaquawatch.org/future-geo-a...

We will be delivering the next @geoaquawatch.bsky.social webinar on 11 December showing you how #xcube software helps unify and explore fragmented datasets found across platforms and formats.
#datastores #analysisreadydata #interactive

How to join: www.geoaquawatch.org/future-geo-a...

🚀 xcube v1.12.0 is here! 🎉

Big updates: New xcube DataStore and Server & Viewer features + fixes:

JPEG2000 support, smarter preload handling, improved metadata, and fresh Viewer visuals.

🔗 Learn more:
Documentation: bit.ly/3L8TDuD
GitHub: bit.ly/47qH8Sm

#xcube #Python #OpenSource #EOData

Our colleague Pontus Lurcock presents at the #LPS25:
“From notebooks to application packages with #xcube and #xcengine”
His talk shows how we use these open-source tools to move from Jupyter notebooks to scalable, cloud-ready EO applications.
#EarthObservation #WorkflowAutomation #OpenSource

🛰️ At this year’s Living Planet Symposium, our colleague Gunnar Brandt presented xcube during the #DataVisualisation session.
xcube is our open-source software package that simplifies the exploitation of Earth observation data cubes to provide analysis-ready EO data.
#xcube

GitHub - xcube-dev/xcube-clms: The data store to access datasets from the CLMS API The data store to access datasets from the CLMS API - GitHub - xcube-dev/xcube-clms: The data store to access datasets from the CLMS API

🚀 xcube developers, take note! 🚀

Two new xcube data stores use the preload API (xcube ≥1.8.0):

🔹 CLMS – Cached access to Copernicus Land data 🔗 bit.ly/4i2vmS7
🔹 Zenodo – Lazy loading & compressed dataset access 🔗 bit.ly/3CMvoP7

Try them now! 🚀 #xcube #Copernicus #Zenodo #OpenData