Earth Observation Data

EOData is a large-scale Earth Observation data archive providing access to datasets from multiple satellite missions, sensors, and data providers. It brings historical and continuously updated EO data together in a single environment for discovery, access, processing, and analysis.

EOData includes a broad range of EO datasets, including optical and radar imagery, atmospheric and ocean data, climate reanalysis, elevation and thematic products, as well as selected AI-ready datasets and embeddings.

EOData can be discovered through the STAC Data Catalogue and accessed using S3-compatible storage, HTTP-based Zipper access, or the graphical Data Explorer. Users can also process data directly on cloud virtual machine infrastructure located close to the storage.

Update frequency depends on the individual dataset and mission. Many collections are updated daily, while selected datasets provide near-real-time access for applications that require timely observations.

No. EOData can be processed directly on cloud infrastructure close to where the data is stored, allowing large-scale workflows to run without transferring entire datasets to local infrastructure.

Yes. EOData can support machine learning and GeoAI workflows with large-scale EO collections, selected analysis-ready datasets and embeddings, combined with cloud computing resources for data processing and model development.

EOData can support both research and commercial applications. Usage conditions depend on the licence and data policy of each individual dataset or data provider, so users should verify the applicable terms for the collections they use.

EOData combines a large-scale Earth Observation archive with data discovery, standardized access methods, and cloud computing infrastructure. Instead of storing and managing EO datasets independently, users can discover, access, and process existing collections within one integrated environment.