Enabling simplicity

Implementing large EO processing workflows commonly requires engineers and scientists to invest a major part of their effort in data management: maintaining file-based data collections, running pre-processing pipelines, removing temporary files, running tile-based parallelisation, etc. openEO platform addresses this data management burden by enabling simplicity for entire workflows:

• High level APIs and intuitive front-end libraries abstract much of the underlying complexity by resolving standard operations in the background.
• Resource allocations is implicitly resolved depending on the defined workflow to optimise scalability across the federated architecture across cloud backends.

This allows scientists and value-adders to focus their effort on the extraction of valuable information and innovative analytical applications.

Pixel to continental scalability

Traditional file-based systems greatly limit the flexibility and efficiency to exploit the EO data repositories. openEO Platform provides users with full flexibility for accessing and manipulating data:

• Users can manipulate either single pixel array values or run operations on entire image collections.
• openEO platform facilitates mass processing workflows to create maps at continental scale without having to worry about computational resource availability or privilege constraints.