Skip to main content
A community data commons for equitable Earth Science

A community data commons for equitable Earth Science

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Samapriya Roy, Sayantan Majumdar , Tyson L. Swetnam

Abstract

Earth observation data are abundant but rarely analysis-ready, and the burden of preparation limits who can participate in science. For the last six years, the Google Earth Engine Community Catalog has closed that gap via community-curated, cloud-hosted, FAIR datasets built without formal funding, advancing discovery and equity worldwide.

DOI

https://doi.org/10.31223/X5WN4J

Subjects

Earth Sciences, Environmental Sciences

Keywords

FAIR, AI, Google Earth Engine, OpenData, Analysis-ready

Dates

Published: 2026-07-30 02:40

Last Updated: 2026-07-30 21:37

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
The authors declare no competing interests.

Data Availability:
https://gee-community-catalog.org/

Metrics

Views: 17

Downloads: 0