Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 18, issue 7
Articles | Volume 18, issue 7
https://doi.org/10.5194/essd-18-5375-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-18-5375-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 7
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

Viewed

Total article views: 956 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
675 241 40 956 64 74
  • HTML: 675
  • PDF: 241
  • XML: 40
  • Total: 956
  • BibTeX: 64
  • EndNote: 74
Views and downloads (calculated since 25 Feb 2026)
Cumulative views and downloads (calculated since 25 Feb 2026)

Viewed (geographical distribution)

Total article views: 956 (including HTML, PDF, and XML) Thereof 889 with geography defined and 67 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 25 Jul 2026
Download
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.
Read more
Share
Altmetrics
Final-revised paper
Preprint