Articles | Volume 17, issue 6
https://doi.org/10.5194/essd-17-2849-2025
https://doi.org/10.5194/essd-17-2849-2025
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

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Latest update: 26 Aug 2025
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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.  
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