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

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

doi:https://doi.org/10.5194/essd-17-4005-2025

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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Cited articles

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Chen, S. and Fu, Y.: Vegetation phenology data based on GIMMS4g NDVI from 1982 to 2020, Zenodo [data set], https://doi.org/10.5281/zenodo.11136967, 2024.

Chen, S., Fu, Y. H., Li, M., Jia, Z., Cui, Y., and Tang, J.: A new temperature–photoperiod coupled phenology module in LPJ-GUESS model v4.1: optimizing estimation of terrestrial carbon and water processes, Geosci. Model Dev., 17, 2509–2523, https://doi.org/10.5194/gmd-17-2509-2024, 2024.

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