Normalized difference vegetation index maps of pure pixels over China for estimation of fractional vegetation cover

Zhao, Tian; Song, Wanjuan; Mu, Xihan; Xie, Yun; Wang, Yuanyuan; Ren, Hangqi; Xie, Donghui; Yan, Guangjian

doi:10.5194/essd-18-551-2026

Articles | Volume 18, issue 1

https://doi.org/10.5194/essd-18-551-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-18-551-2026

© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 1

Data description paper

|

21 Jan 2026

Data description paper |

| 21 Jan 2026

Normalized difference vegetation index maps of pure pixels over China for estimation of fractional vegetation cover

Tian Zhao, Wanjuan Song, Xihan Mu, Yun Xie, Yuanyuan Wang, Hangqi Ren, Donghui Xie, and Guangjian Yan

Supplement

https://doi.org/10.5194/essd-18-551-2026-supplement

Data sets

Normalized Difference Vegetation Index Maps of Pure Pixels over China for Estimation of Fractional Vegetation Cover (2014) (1.0.0) T. Zhao et al. https://doi.org/10.5281/zenodo.15720622

30 m Normalized Difference Vegetation Index Maps of Pure Pixels over China for Estimation of Fractional Vegetation Cover (2014, 2018, 2022) (1.0.0) T. Zhao et al. https://doi.org/10.5281/zenodo.17463344

500 m Normalized Difference Vegetation Index Maps of Pure Pixels over China for Estimation of Fractional Vegetation Cover (2014) (1.0.0) T. Zhao et al. https://doi.org/10.5281/zenodo.15597968

GlobeLand30 Land Cover Dataset (2020), National Earth System Science Data Center National Geomatics Center of China https://doi.org/10.12041/geodata.140236667788805.ver1.db

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Short summary

Our research aimed to provide reliable data for measuring fractional vegetation cover, essential for understanding climate patterns and ecological health. We used the MultiVI algorithm, which employs satellite images from various angles to enhance accuracy. Our method outperformed traditional statistical methods compared to field measurements, enabling precise large-scale mapping of vegetation cover for improved environmental monitoring and planning.