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Digital Earth Australia

Digital Earth Australia is the Australian government's implementation of the open source analysis platform developed as part of the Open Data Cube (ODC) initiative. The DEA program contributes code, documentation, How-to guides, tutorials, and support to international users of the Open Data Cube.

Digital Earth Africa

Digital Earth Africa will support multiple countries around Africa. This effort is focused on building the capacity of users in this region to apply Earth observation satellite data to address local and national needs as well as the objectives of the Group on Earth Observations (GEO) and the United Nations Sustainable Development Goals (UN-SDG).

Swiss Data Cube 

The Swiss Data Cube was one of the first adopters of the Data Cube system for a national scale platform. Beginning with 5 years of downloaded Landsat Analysis Ready Data in 2016, the now have over 30 years of Landsat, and now Sentinel 1 and Sentinel 2 over the entire country. New data are automatically updated daily as new scenes become available. Products of interest in the Swiss Data Cube are urbanization, cloud free mosaics, and snow cover.

There are many other Data Cubes in development and operation, with a growing list of about 40 countries on our "Road to 20". These include the operational Colombian Cube, and projects in the US, Vietnam, the UK, and India.
How to do it?
The ODC Sandbox

A demonstration Data Cube Sandbox is available as an entry point to getting started with the Open Data Cube, and was recently made available here(Link will be available when public). The Sandbox is a JupyterHub Python notebook server, with individual work spaces, and the Global Collection 1 Landsat 8 AWS PDS indexed.

See our ODC Sandbox page for more information.

The ODC Reference install - Cube in a Box

A distributable, ready to run reference install is available as the “ODC Reference Install”, or Cube in a Box (CIAB). Where the Sandbox install provides an accessible, externally managed platform to trial the features of the Open Data Cube, the Reference Install is designed to provide a ready to run installation of an independent Open Data Cube, on an organization's own resources.

See our Cube in a Box page for more information.

The Data Cube Applications Library

Both the Sandbox and the Reference Install come with a variety of ready-to-run applications, in the form of Python Jupyter Notebooks. The DCAL algorithms are available on the Data Cube Applications Library.


The ODC core serves as a layer between satellite data providers and applications. A set of open source tools exist to help scientists conduct research using data managed by the ODC. The figure below illustrates popular tools used within the community that utilizes the ODC Core as its basis:

  • Command Line Tools: A tool used by programmers/developers to interface with the ODC.

  • Open Data Cube Explorer: A visual and interactive web application that lets users explore their inventory of available data.

  • Open Data Cube Stats: An optimized means of defining and executing advanced analysis on ODC system. This tool is oriented towards scientists.

  • Web User Interface (UI): A web application that allows developers to interactively showcase and visualize the output of algorithms. 

  • Jupyter Notebooks: Research documents centered around techniques in EO sciences. A notebook contains executable code detailing examples of how the data cube is used in a research setting, and therefore is an invaluable reference material for new users.

  • Open Geospatial Consortium (OGC) Web Services: Adapters that can connect non-ODC applications to the ODC.

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