Large-Scale Scientific Information Systems Research Group

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Integrating Machine Learning with Datacubes

In the AI-Cube project datacube fusion and AI-based analytics will be integrated, demonstrated in several real-life application scenarios, and deployed on a federation of CODE-DE DIASs and further high-volume EO/geo data offerings.

Goal is to support scenarios like the following: User selects a topic (in the project: specific crop types, specific forest types, burnt forest areas). System determines, through a combined analysis of various large-scale data sources, a list of regions showing the criterion selected. User gets this visualized directly or continues analysing, possibly combining with further data sources.

Project Partners

  • Constructor University, Prof. Dr. Peter Baumann
  • Technische Universität Berlin, Prof. Dr. Begüm Demir
  • rasdaman GmbH