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AFRICA REGIONAL DATA CUBE WEBINAR - NOVEMBER 30, 2018

A WEBINAR HOSTED BY THE AFRICA OPEN DATA NETWORK (AODN)



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EMPOWERING GLOBAL INSIGHTS:


OPEN SOURCE EARTH OBSERVATION AT SCALE

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The Open Data Cube (ODC) is a free, open-source software package that simplifies
the management and analysis of large amounts of satellite imagery and other
Earth observation data. It allows users to easily access, process, and analyze
decades of geographical data to track changes on Earth's surface over time. ODC
is designed to help scientists, researchers, and government agencies make
better-informed decisions in areas such as environmental issues, land use, and
resource management.

 

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USE CASE EXAMPLES

LAND COVER MAPPING IN AUSTRALIA: RESEARCHERS USED THE OPEN DATA CUBE THROUGH
DIGITAL EARTH AUSTRALIA (DEA) TO GENERATE ANNUAL NATIONAL-SCALE LAND COVER MAPS
OF AUSTRALIA, LEVERAGING LANDSAT IMAGERY FROM 1988-2020. THIS WORK IMPLEMENTED
THE FAO LAND COVER CLASSIFICATION SYSTEM (LCCS) LEVEL 3 TO PRODUCE SIX MAIN LAND
COVER CLASSES AT 25M RESOLUTION, SUPPORTING ENVIRONMENTAL MONITORING AND
POLICY-MAKING.

CITATION: OWERS, C. J., ET AL. (2022). "OPERATIONAL CONTINENTAL-SCALE LAND COVER
MAPPING OF AUSTRALIA USING THE OPEN DATA CUBE." INTERNATIONAL JOURNAL OF DIGITAL
EARTH, 15(1), 1715-1737.

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OPEN SOURCE




FELXIBLE DATA HANDLING

As an open-source project, the ODC promotes collaboration and transparency.
Users can inspect the code, contribute improvements, and customize the platform
to suit their specific needs. This open nature also ensures long-term
sustainability and community-driven development.




INTEROPERABILITY

Integration with other systems is straightforward thanks to the ODC's REST API,
which enables easy connection to web services and third-party software.




CUSTOM ALGORITHMS

Researchers and data scientists can develop and implement custom algorithms in
Python, tailoring the ODC to their specific analytical needs. For those seeking
quick results, the ODC also includes pre-built algorithms for common analyses
such as NDVI calculation and change detection. This balance of flexibility and
convenience makes the ODC suitable for a wide range of users, from beginners to
advanced practitioners.

The ODC simplifies data management by leveraging Analysis Ready Data (ARD),
which reduces preprocessing time and effort. It supports a wide array of data
formats, including GeoTIFF, Cloud Optimized GeoTIFF (COG), NetCDF, and CSV. This
versatility allows users to work with diverse datasets without the need for
extensive format conversions.




SCALABLE PERFORMANCE

The ODC is designed to handle large-scale data processing efficiently. It can be
deployed on high-performance computing clusters and cloud platforms, allowing
users to scale their analyses as needed. By leveraging Dask for parallel
computing, the ODC can process vast amounts of data quickly, making it suitable
for both small projects and large-scale national or global analyses.

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