Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 8
Articles | Volume 17, issue 8
https://doi.org/10.5194/essd-17-4005-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-4005-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 8
Data description paper
 | 
21 Aug 2025
Data description paper |  | 21 Aug 2025

A vegetation phenology dataset developed by integrating multiple sources using the reliability ensemble averaging method

Yishuo Cui, Shouzhi Chen, Yufeng Gong, Mingwei Li, Zitong Jia, Yuyu Zhou, and Yongshuo H. Fu

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Latest update: 21 Aug 2025
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Short summary
Global changes have significantly altered vegetation phenology, affecting terrestrial carbon cycles. While various remote-sensing-based phenology datasets exist, they often suffer from inconsistencies and uncertainties. To address this, we developed a new phenology dataset spanning 1982–2020 using a reliability ensemble averaging method. Validated against ground data, our dataset demonstrates substantially improved accuracy, providing a novel and reliable source for global ecological studies.
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