Fostering Cross-Disciplinary Earth Science Through Datacube Analytics

Publication date: 
24 Jan 2018
Baumann, P.
Rossi, A. P.
Bell, B.
Clements, O.
Evans, B.
Hoenig, H.
Hogan, P.
Kakaletris, G.
Koltsida, P.
Mantovani, S.
Figuera, R. M.
Merticariu, V.
Misev, D.
Pham, H. B.
Siemen, S.
Wagemann, J.

With the unprecedented increase of orbital sensor, in situ measurement, and simulation data there is a rich, yet not leveraged potential for obtaining insights from dissecting datasets and rejoining them with other datasets. Obviously, goal is to allow users to “ask any question, any time, on any size”, thereby enabling them to “build their own product on the go”.

One of the most influential initiatives in Big EO Data is EarthServer which has demonstrated new directions for flexible, scalable EO services based on innovative NoSQL technology. Researchers from Europe, the USA and Australia have teamed up to rigorously materialize the datacube concept. EarthServer has established client and server technology for such spatio-temporal datacubes. The underlying scalable array engine, rasdaman, enables direct interaction, including 3D visualization, what-if scenarios, common EO data processing, and general analytics. Services exclusively rely on the open OGC “Big Earth Data” standards suite, Web Coverage Service (WCS). Phase 1 of EarthServer has advanced scalable array database technology into 100+ TB services; in Phase 2, Petabyte datacubes are being built for ad-hoc extraction, processing, and fusion. But EarthServer has not only used, but also shaped the Big Datacube standards in OGC, ISO and INSPIRE.

We present the current state of EarthServer in terms of services and technology and outline its impact on the international standards landscape.

Citation Info: 
Baumann P. et al. (2018) Fostering Cross-Disciplinary Earth Science Through Datacube Analytics. In: Mathieu PP., Aubrecht C. (eds) Earth Observation Open Science and Innovation. ISSI Scientific Report Series, vol 15. Springer, Cham