Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-5375-2026
https://doi.org/10.5194/essd-18-5375-2026
Data description article
 | 
24 Jul 2026
Data description article |  | 24 Jul 2026

Democratizing planetary-scale analysis: an ultra-lightweight Earth embedding database for accurate and flexible global land monitoring

Shuang Chen, Jie Wang, Shuai Yuan, Jiayang Li, Yu Xia, Yuanhong Liao, Junbo Wei, Jincheng Yuan, Xiaoqing Xu, Xiaolin Zhu, Peng Zhu, Hongsheng Zhang, Yuyu Zhou, Haohuan Fu, Huabing Huang, Bin Chen, Fan Dai, and Peng Gong

Data sets

Embedded Seamless Data: An ultra-lightweight Earth embedding database for accurate and flexible global land monitoring Shuang Chen https://doi.org/10.12436/iEarth.0000.20251229.000064.v1

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Short summary
Monitoring our planet with satellites produces massive datasets too large for researchers to handle. We created a new global database that condenses 25 years of Landsat and MODIS observations into a highly efficient format (Analysis-ready embedding vectors) using AI. By reducing data size by over 340 times while maintaining high accuracy, we allow global studies to be run on standard PC. Makes planetary research accessible to everyone and helps us better track environmental changes over time.
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