Pixels to Patterns: ML Data Preparation using openEO in Copernicus Data Space Ecosystem (P. Sharma)

“Pixels to Patterns: ML Data Preparation using openEO in Copernicus Data Space Ecosystem” by Pratichhya Sharma Earth Observation Summer School 2026 17 Aug 2026 – 21 Aug 2026, Istanbul, Turkey https://opengeohub.org/events/earth-observation-summer-school-2026 Machine Learning (ML) and Deep Learning (DL) have transformed the Earth Observation (EO) data analysis, yet preparing large-scale, analysis-ready datasets remains a significant challenge in an application. This session introduces openEO within the Copernicus Data Space Ecosystem as a practical solution, walking participants through a complete end-to-end ML training data preparation workflow from querying and filtering Sentinel imagery, computing spectral indices, to exporting analysis-ready datasets for a sample usecase. By handling large data volumes natively in the EU cloud, openEO significantly reduces the technical overhead of data curation and scaling, making advanced EO workflows accessible to a wider community of practitioners.