Progress in Earth system science is accelerating rapidly, due to the increasing availability of
multivariate datasets, often global, with moderate to high spatio-temporal resolutions …

Understanding Earth system dynamics in light of ongoing human intervention and
dependency remains a major scientific challenge. The unprecedented availability of data …

The term “Big Data” is a contemporary shorthand characterizing data which are too large,
fast-lived, heterogeneous, or complex to be understood and exploited. Technologically, this …

Today, scientists are dealing with a plethora of Earth observations (EO) and derived
products that await joint exploitation. To tap into this enormous synergistic potential requires …

Pressures on natural resources are increasing and a number of challenges need to be
overcome to meet the needs of a growing population in a period of environmental variability …

Many subsystems of Earth are constantly monitored in space and time and undergo
continuous anthropogenic interventions. However, research into this transformation remains …

Earth observation data is collected by ever-expanding fleets of satellites including Landsat1-
8, Sentinel1 & Sentinel2, SPOT1-7 and WorldView1-3. These satellites generate at spatial …

Abstract The Australian Geoscience Data Cube (AGDC) aims to realise the full potential of
Earth observation data holdings by addressing the Big Data challenges of volume, velocity …

This paper provides a structure to the recently intensified discussion around 'data cubes' as
a means to facilitate management and analysis of very large volumes of structured …

Earth observations data cubes (EODCs) are a paradigm transforming the way users interact
with large spatio-temporal Earth observation (EO) data. It enhances connections between …