Explore, develop, process, and publish Earth Observation data in a collaborative cloud environment.
Whether you are building an algorithm, generating results, providing a reusable processing service, or communicating insights, this documentation will help you find the right EOxHub applications and practical guidance.
What Would You Like to Do?¶
Explore data, experiment with new methods, and develop reproducible geospatial algorithms.
Explore Algorithm Development →
Run algorithms consistently on demand, on a schedule, or as part of a larger processing workflow.
Explore Result Generation →
Turn an algorithm into a reusable processing capability for other users, applications, and systems.
Explore Algorithm as a Service →
Communicate results through interactive dashboards, maps, charts, and structured data stories.
Explore Publish Insights →
Start Exploring EOxHub¶
Follow practical tutorials for publishing data, creating narratives, running processing jobs, and exploring EOxHub capabilities.
Browse Tutorials →
Learn about the applications available for interactive development, automation, data publication, and collaboration.
Explore Applications →
Open ready-to-run examples for data access, analysis, experiment tracking, and scalable processing in JupyterLab.
Explore Notebooks →
New to EOxHub Workspaces?¶
Start with an introduction to the platform and learn how to access your Workspace.
Additional Resources¶
Whether you’re a data scientist, developer, or decision-maker, this documentation is intended to support your journey with EOxHub Workspaces. Check back regularly as we continue to expand the content with new features, examples, and integrations.