Articles | Volume 18, issue 4
https://doi.org/10.5194/essd-18-2907-2026
https://doi.org/10.5194/essd-18-2907-2026
Data description article
 | 
27 Apr 2026
Data description article |  | 27 Apr 2026

CCAV-10m: an annual spatiotemporal dataset for eastern coastal China’s wetland vegetation by integrating Sentinel-1/2 observations via deep learning

Yuying Li, Lina Yuan, Ting Liu, Zijiang Song, Shuang Yang, Zilong Zhu, and Min Liu

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Latest update: 25 Jun 2026
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Short summary
We introduce CCAV-10m, an annual, species-level 10m resolution coastal wetland vegetation dataset for eastern China. It was produced using a novel phenology-guided vegetation classification network that integrates Sentinel-1/2 satellite imagery with field observations. Validation demonstrates strong classification accuracy (overall accuracy: 0.916, Kappa: 0.898). Regular updates will support long-term coastal wetland research, invasive species monitoring, and precision wetland management.
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