EORC TALK: Facing the challenges of big data with multi-talented earth observation data cubes

Digital tools for environmental monitoring cater to a wide application range and require a high degree of functionality and flexibility while still ensuring user-friendliness. The next generation of data analysis and visualization, as well as the management and infrastructure of large volumes of EO Data, are cloud-based data cubes. Those are both useful and effective tools to deliver decision-ready products to end users. Our data cubes aim to create an innovative data analysis infrastructure, supporting agencies and scientific institutions by reducing the complexity and effort that come with processing big data.

Our data cube presents a versatile platform that not only integrates and processes big geodata of highly diverse origin and type but also provides access to these resources in ways that reflect the individual user’s requirements and expertise. Based on free and open-source software building blocks, our data cubes facilitate scientific computation through R and Python environments or direct API access, including emergent technologies such as openEO, STAC and COG. At the same time, the results are delivered to easyto-use applications that adequately present them to non-technical experts.

Currently, our data cube team is working on multiple cubes covering regions that are distributed over three continents. Within the framework of our talk, we like to present and share our ongoing work on those EO data cubes with you.