Most of datasets that were either used to produce GEM results, or are results of GEM project, are made available publicly.

As our objective is also an uptake of GEM framework, we share example code on how to access data using example notebooks available at

The introductory notebook in particular gives an overview of the data used and produced within GEM framework. The examples, presented in Jupyter Notebooks, are structured according to data type:

The GEM datasets facilitates easier navigation and clearer overview of data produced in various use-cases from GEM project, and is further structured into several notebooks.

Each notebook will show how data collections, pertinent to GEM in general, or some of the GEM use-cases in particular, can be accessed with GEM processing framework - eo-learn. Some explanation about the collections is also given, so the notebooks represent a self-sufficient and concise documentation about the datasets.