Spatio-Temporal Datacubes at Your Fingertips

EarthServer is one of the most influential project series delivering next-generation Big Earth Data services. which has demonstrated new directions for flexible, scalable EO services based on innovative NoSQL technology. Researchers from Europe, the US, and Australia have teamed up to rigorously materialize the concept of the datacube. Such a datacube may have spatial and temporal dimensions (such as an x/y/t satellite image time series) and may unite an unlimited number of scenes. Independently from whatever efficient data structuring a server net¬work may perform internally, users will always see just a few datacubes they can slice and dice.

EarthServer has established client and server technology for such spatio-temporal datacubes. The underlying scalable array engine, rasdaman, en¬ables direct interaction, including 3-D visualization, what-if scenarios, common Earth Observation data processing, and general analytics. Services exclusively rely on the open OGC "Big Geo Data" standards suite, the Web Coverage Service (WCS). Phase 1 of EarthServer has advanced scalable array database technology into 100+ TB services; in Phase 2, more than 2.5 Petabyte datacubes have been built for ad-hoc extraction, processing, and fusion.

However, EarthServer has not only used, but also shaped several Big Data standards. This includes OGC coverage data and service standards, INSPIRE WCS, and the ISO Array SQL standard.

Both European Commission and reviewers observed "proven evidence" that rasdaman does "significantly transform [how to] access and use data" and "with no doubt has been shaping the Big Earth Data landscape".

Planetary federation of datacubes: MEEO (ESA) Italy, Plymouth Marine Laboratory UK, National Computational Infrastructure Australia, European Centre for Medium-Range Weather Forecast in UK...andbeyond, with Jacobs University's Planetary Science service


ECMWF: River discharge timeseries with rasdaman


MEEO: climate indicators with rasdaman


National Computational Infrastructure Australia: Landsat-8 satellite imagery with rasdaman


British Geological Survey: Glasgow subsurface modeling with rasdaman


Jacobs University: Planetary sciene services on Mars, Moon, and Vesta with rasdaman

Demonstration of planetary-scale rasdaman federation: determining global heavy rain risk areas from ERA climate data at ECMWF/UK and Landsat8 data at NCI / Australia