The Copernicus land data products and similar data products funded by European Commission played a central role in the reference data framework that determines the quality and traceability of all Copernicus products and services. But many of these layers suffered from limited reproducibility and completeness. By building and implementing Geo-harmonizer we contributed to the Copernicus product in producing new added-value products. For example, we used automated mapping methods to produce annual land cover maps at 30-m resolution for the complete period 2000–2020, the “OpenStreetMap+” (we merged OpenStreetMap data with other EO products) and a number of other value-added layers. We aimed at producing analysis and/or decision ready layers that can be used directly by end-users.

A 5-day hybrid events with training sessions for processing data cubes and using machine learning in Open Source, followed by 3 days of conference talks by leading European experts and researchers discussing challenges and opportunities for “Spatiotemporal modelling of European Landscapes and Climate 2000–2020: using EO and Machine Learning” and “Connecting Europe through Earth Observation and Open Data Missions“.

ODSE 2021

ODSE 2022