Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 6
Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-2849-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-2849-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 6
Data description paper
 | 
24 Jun 2025
Data description paper |  | 24 Jun 2025

A global daily seamless 9 km vegetation optical depth (VOD) product from 2010 to 2021

Die Hu, Yuan Wang, Han Jing, Linwei Yue, Qiang Zhang, Lei Fan, Qiangqiang Yuan, Huanfeng Shen, and Liangpei Zhang

Viewed

Total article views: 723 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
555 144 24 723 26 23
  • HTML: 555
  • PDF: 144
  • XML: 24
  • Total: 723
  • BibTeX: 26
  • EndNote: 23
Views and downloads (calculated since 16 Dec 2024)
Cumulative views and downloads (calculated since 16 Dec 2024)

Viewed (geographical distribution)

Total article views: 723 (including HTML, PDF, and XML) Thereof 709 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 24 Jun 2025
Download
Short summary
Existing L-band vegetation optical depth (L-VOD) products suffer from data gaps and coarse resolution of historical data. Therefore, it is necessary to integrate multi-temporal and multisource L-VOD products. Our study begins with the reconstruction of missing data and then develops a spatiotemporal fusion model to generate global daily seamless 9 km L-VOD products from 2010 to 2021, which are crucial for understanding the global carbon cycle.  
Read more
Share
Altmetrics
Final-revised paper
Preprint