Services#

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Service Highlights of DeepESDL#

Collaborative workspaces through team-based storage, with S3 integration
User-defined and managed Python environments
Full integration with EarthCODE for direct publishing of data and workflows
Convenient management of Machine Learning workflows with MLFlow
Scalable computation from jupyter with on-demand dask clusters and GPU support
Access to relevant datasets including Copernicus Services, Sentinel products, CCI products and more, in a common data model through xcube data stores.
Integration of feature data with geodb
Visualization in Jupyter Notebooks with xcube Viewer and Lexcube
Catalogue of ready-to-use notebooks for common workflows
Integrated Development Environment VSCode
Dissemination of data sets in public xcube Viewer application at viewer.earthsystemdatalab.net