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, and variety that otherwise limit the usefulness of Earth observation data. There have been several iterations and AGDC version 2 is a major advance on previous work. The foundations and core components of the AGDC are: (1) data preparation, including geometric and radiometric corrections to Earth observation data to produce standardised surface reflectance measurements that support time-series analysis, and collection management systems which track the provenance of each Data Cube product and formalise re-processing decisions; (2) the software environment used to manage and interact with the data; and (3) the supporting high performance computing environment provided by the Australian National Computational Infrastructure (NCI).A growing number of examples demonstrate that our data cube approach allows analysts to extract rich new information from Earth observation time series, including through new methods that draw on the full spatial and temporal coverage of the Earth observation archives. To enable easy-uptake of the AGDC, and to facilitate future cooperative development, our code is developed under an open-source, Apache License, Version 2.0. This open-source approach is enabling other organisations, including the Committee on Earth Observing Satellites (CEOS), to explore the use of similar data cubes in developing countries.

Highlights

  • A vision for the Australian Geoscience Data CubeIn this paper we describe the Australian Geoscience Data Cube (AGDC), a ‘Big Data’ infrastructure that aims to realise the full potential of Earth observation data holdings for Australia

  • Whilst the development of the AGDCv2 has necessarily been focused on the Australian region, we have developed the Data Cube with an awareness of the international need for improved approaches to the exploitation of satellite Earth observation data in order to effectively address global challenges

  • The Australian Geoscience Data Cube was developed, as AGDCv1, to allow us to analyse the full depth of the Australian Landsat archives at continental scale

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Summary

Introduction

In this paper we describe the Australian Geoscience Data Cube (AGDC), a ‘Big Data’ infrastructure that aims to realise the full potential of Earth observation data holdings for Australia. The characteristics of the AGDC are high quality calibration of satellite observations, the use of basic measurements (notably standardised surface reflectance for optical data), accurate geo-location, quality assessment and pixel level quality flags, structuring of data to facilitate analysis including time-series analysis, and the use of scientific file formats to facilitate efficient computation and exploratory data analysis. These characteristics allow automated workflows to be developed which produce continental-scale products drawing on the full time-series of available data. Summarise general learnings from our AGDC journey and outline some important future directions

The challenge
Foundations and core elements
Data and collection management protocols
Radiometric correction - comparability of measurements in time and space
Collection management - retaining the provenance of data and products
AGDC architecture and technologies
Applications and capabilities
Water observations from space
Time series water quality observation
International applications
Lessons learned
Future directions
Machine learning
Conclusions
Variety
Findings
Veracity
Velocity

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