Speaker
Description
Datacubes form an acknowledged cornerstone for analysis-ready data – the
multi-dimensional paradigm is natural for humans and easier to handle than
zillions of scenes, for both humans and programs. Today, datacubes are common in
many places – powerful management and analytics tools exist, with both
datacube servers and clients ranging from simple mapping over virtual globes and
Web GIS to high-end analytics through python and R. This ecosystem is backed by
established standards in OGC, ISO, and further bodies.
In the EarthServer federation, institutions from the US, Europe, and Asia
contribute spatio-temporal datacubes through OGC compliant services, including
the CoperniCUBE datacube ecosystem. Weather and climate data, satellite data
timeseries, and further data are provided, altogether multi-Petabyte. A unique
feature is the location transparency: users see the federation offerings as a
single, integrated pool. The federation member nodes orchestrate incoming
queries automatically, including distributed data fusion.
Further, a tight integration of AI and datacubes is provided through the novel
concept of AI-Cubes.
We briefly introduce the concepts of datacubes and then explore hands-on
together how to access, extract, analyze, and reformat data from datacubes.
Particular emphasis is on federation aspects.
Most of the examples can be recapitulated and modified by participants with
online access. Ample room will be left for discussion.
The contributor is editor of the datacube standards in OGC and ISO and member, EOSC.
| Topic | Data innovations: Data Spaces |
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