A high-resolution gridded dataset of water footprints  for China's major food crops from 2001 to 2020

Hua, En; Huang, Ling; Zhang, Liangliang; Zhao, Quanbo; Wang, Yingxuan; Wu, Bowei; Li, Sien; Cui, Yaokui; Wang, Yubao; Wang, Xuhui

doi:10.5194/essd-18-4097-2026

Articles | Volume 18, issue 6

https://doi.org/10.5194/essd-18-4097-2026

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

https://doi.org/10.5194/essd-18-4097-2026

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

Articles | Volume 18, issue 6

Data description article

|

17 Jun 2026

Data description article |

| 17 Jun 2026

A high-resolution gridded dataset of water footprints for China's major food crops from 2001 to 2020

En Hua, Ling Huang, Liangliang Zhang, Quanbo Zhao, Yingxuan Wang, Bowei Wu, Sien Li, Yaokui Cui, Yubao Wang, and Xuhui Wang

Supplement

https://doi.org/10.5194/essd-18-4097-2026-supplement

Data sets

A high-resolution gridded dataset of water footprints for China's major food crops from 2001 to 2020 En Hua and Xuhui Wang https://doi.org/10.5281/zenodo.19532526

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Short summary

Accurately quantifying the blue and green water footprints of crops is essential for addressing unsustainable agricultural water use. However, long-term, high spatiotemporal resolution data have been lacking. Hence, multi-source remote sensing was integrated with high-resolution crop distribution and phenology within a detailed water footprint framework. ChinaCropWF provides daily, 1-km resolution blue and green water footprints for China's five major food crops from 2001 to 2020.