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GEE Community Catalog Forum

We take the next step in fostering collaboration with the official launch of our dedicated community forum at forum.gee-community-catalog.org. This platform represents more than just a discussion board - it's a place to learn, to grown , to build communities and so much more.

Join Us Today

Becoming part of this community takes just three steps:

  1. Visit forum.gee-community-catalog.org
  2. Create your account using your professional/institutional email/gmail/github/linkedin
  3. Introduce yourself and explore the active discussions and start contributing

Whether you're a NASA-funded researcher, a student building your first land cover classification model, or a conservation NGO seeking better analytical tools - your perspective matters.

The forum is the perfect place to:

  • Share your knowledge: Have you discovered a useful dataset? Do you have tips for data analysis or visualization? Share your expertise and help others.
  • Ask questions: Stuck on a particular dataset? Need help with a specific data-related challenge? The community is here to support you.
  • Connect with others: Network with fellow data enthusiasts, researchers, and developers. Find collaborators for your projects.
  • Contribute to the catalog: Suggest new datasets for inclusion, provide feedback on existing datasets, and help us improve the overall quality of the catalog.
  • Discuss best practices: Engage in discussions about data quality, data governance, and ethical data usage.
  • Stay up-to-date: Receive announcements about new datasets, features, and events related to the Gee Community Catalog.

Building the Future of Open Geospatial Science

Our vision extends beyond simple discussion threads. The forum will directly shape the catalog's evolution through:

  • Community-Driven Dataset Requests: Propose and vote on new dataset priorities
  • Collaborative Documentation Projects: Create next-generation tutorials combining multiple contributors' expertise
  • Open Peer Review System: Improve data quality through transparent dataset evaluations
  • Project Incubator: Find team members and resources for ambitious Earth observation initiatives
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