The open data cube (ODC) initiative is both a community and a technology, with the idea that a community is being developed around this open-source technology to further advance its core capabilities. The purpose of an ODC is to allow ingestion, storage, provision and analysis of structured geospatial data, but in particular time-series of satellite images. The ODC initiative seeks to provide a free and open data architecture that offers further value to its users and increases the impact of open EO satellite data. It’s based on the implementation approach used by the Australian Geoscience Data Cube (AGDC) serving as the basis for Digital Earth Australia. An ODC consists of:
- time-series, multi-dimensional (space, time, data type) stack of spatially aligned pixels ready for analysis
- Analysis Ready Data (ARD): satellite data that have been processed to a minimum set of requirements and organized into a form that allows immediate analysis with a minimum of additional user effort and interoperability both through time and with other datasets
- open source software approach allowing free access, promoting expanded capabilities and increasing data usage.
- exploits time-series data, provides data interoperability and supports the development of new applications.
African Regional Data Cube
The Africa Regional Data Cube (ARDC) supports open data cube access and capacity-building for five countries: Ghana, Kenya, Senegal, Sierra Leone and Tanzania. The initiative demonstrates the value of open data cube (ODC) technologies on-the-ground, while also understanding and navigating key technical institutional and capacity challenges. The ARDC clearly shows the country-level demand for access to earth observation data for the Sustainable Development Goals (SDGs). The success of the initiative highlights the need for a broader, African-owned and led regional approach to acquiring, storing, interpreting and delivering satellite data.
Digital Earth Australia
Digital Earth Australia is internationally recognised as a game-changer for the use of satellite information to address real-world problems and its model is a pathway for the success of addressing the UN Sustainable Development Goals. Using high performance computing power provided by the National Computational Infrastructure and commercial cloud computing platforms, DEA organises and prepares satellite data into stacks of consistent, time-stamped observations that can be quickly manipulated and analysed to provide information about a range of environmental factors such as water availability, crop health and ground cover.