Articles | Volume 18, issue 1
https://doi.org/10.5194/essd-18-551-2026
https://doi.org/10.5194/essd-18-551-2026
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

Related authors

Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations
Yueli Chen, Yun Xie, Xingwu Duan, and Minghu Ding
Earth Syst. Sci. Data, 17, 1265–1274, https://doi.org/10.5194/essd-17-1265-2025,https://doi.org/10.5194/essd-17-1265-2025, 2025
Short summary
The most extreme rainfall erosivity event ever recorded in China up to 2022: the 7.20 storm in Henan Province
Yuanyuan Xiao, Shuiqing Yin, Bofu Yu, Conghui Fan, Wenting Wang, and Yun Xie
Hydrol. Earth Syst. Sci., 27, 4563–4577, https://doi.org/10.5194/hess-27-4563-2023,https://doi.org/10.5194/hess-27-4563-2023, 2023
Short summary
Retrievals of precipitable water vapor and aerosol optical depth from direct sun measurements with EKO MS711 and MS712 spectroradiometers
Congcong Qiao, Song Liu, Juan Huo, Xihan Mu, Ping Wang, Shengjie Jia, Xuehua Fan, and Minzheng Duan
Atmos. Meas. Tech., 16, 1539–1549, https://doi.org/10.5194/amt-16-1539-2023,https://doi.org/10.5194/amt-16-1539-2023, 2023
Short summary
New gridded dataset of rainfall erosivity (1950–2020) on the Tibetan Plateau
Yueli Chen, Xingwu Duan, Minghu Ding, Wei Qi, Ting Wei, Jianduo Li, and Yun Xie
Earth Syst. Sci. Data, 14, 2681–2695, https://doi.org/10.5194/essd-14-2681-2022,https://doi.org/10.5194/essd-14-2681-2022, 2022
Short summary
Rainfall erosivity mapping over mainland China based on high-density hourly rainfall records
Tianyu Yue, Shuiqing Yin, Yun Xie, Bofu Yu, and Baoyuan Liu
Earth Syst. Sci. Data, 14, 665–682, https://doi.org/10.5194/essd-14-665-2022,https://doi.org/10.5194/essd-14-665-2022, 2022
Short summary

Cited articles

Asrar, G., Fuchs, M., Kanemasu, E., and Hatfield, J.: Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat, Agronomy Journal, 76, 300–306, https://doi.org/10.2134/agronj1984.00021962007600020029x, 1984. 
Baret, F., Hagolle, O., Geiger, B., Bicheron, P., Miras, B., Huc, M., Berthelot, B., Niño, F., Weiss, M., Samain, O., Roujean, J. L., and Leroy, M.: LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm, Remote Sensing of Environment, 110, 275–286, https://doi.org/10.1016/j.rse.2007.02.018, 2007. 
Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makhmara, H., Pacholcyzk, P., and Smets, B.: GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 1: Principles of development and production, Remote Sensing of Environment, 137, 299–309, https://doi.org/10.1016/j.rse.2012.12.027, 2013. 
Chen, J., Menges, C., and Leblanc, S.: Global mapping of foliage clumping index using multi-angular satellite data, Remote Sensing of Environment, 97, 447–457, https://doi.org/10.1016/j.rse.2005.05.003, 2005. 
Chen, J., Chen, J., Liao, A., Cao, X., Chen, L., Chen, X., Peng, S., Han, G., Zhang, H., and He, C.: Concepts and key techniques for 30 m global land cover mapping, Acta Geodaetica et Cartographica Sinica, 43, 551–557, https://doi.org/10.13485/j.cnki.11-2089.2014.0089, 2014. 
Download
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.
Share
Altmetrics
Final-revised paper
Preprint