Satellite datacubes at your fingertips, ready for spatio-temporal analysis and visualization in your favourite client and powered by the European Datacube engine, rasdaman

Provided by:
Research area:
Earth sciences
Dedicated for:
Researchers, Research organisations, Business, Research group, Providers
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The rasdaman datacube engine provides spatio-temporal access and analytics, initially on the CreoDias Sentinel archive. Standards-based interfaces of the OGC datacube reference implementation allows a large, growing number of standards-conformant clients to tap right into the rasdaman datacubes, ranging from map navigation (ex: OpenLayers) and virtual globes (ex: NASA WorldWind, Microsoft Cesium) over Web GIS (ex: QGIS, ArcGIS) to analytics (ex: python, R). Among others, this supports Artificial Intelligence (AI) applications in a fast, flexible manner. The rasdaman EOSC-hub datacubes will be federated with other offerings, establishing a common information space for free mix & match. Federation queries are processed and optimized among the participating servers, clients directly get the final query result, with no extra intermediate data transfer to them

Visualize via WMS, extract via WCS or perform server-side analytics via WCPS on any subset of Sentinel or Landsat data in real time, in your favorite client.

Places and languages
  • Europe
  • English
Related Infrastructures and Platforms
  • EO Pillar
Service phase
  • Production

The EOSC portal is been jointly developed and maintained by the EOSC-hub, eInfraCentral and OpenAIRE-Advance projects funded by the European

Union’s Horizon 2020 research and innovation programme with contribution of the European Commission

2018 EOSC Portal