Articles | Volume 12, issue 1
https://doi.org/10.5194/essd-12-197-2020
https://doi.org/10.5194/essd-12-197-2020
Data description paper
 | 
31 Jan 2020
Data description paper |  | 31 Jan 2020

ChinaCropPhen1km: a high-resolution crop phenological dataset for three staple crops in China during 2000–2015 based on leaf area index (LAI) products

Yuchuan Luo, Zhao Zhang, Yi Chen, Ziyue Li, and Fulu Tao

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by zhao zhang on behalf of the Authors (13 Nov 2019)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (02 Dec 2019) by Birgit Heim
AR by zhao zhang on behalf of the Authors (07 Dec 2019)  Author's response    Manuscript
ED: Publish as is (08 Jan 2020) by Birgit Heim
AR by zhao zhang on behalf of the Authors (09 Jan 2020)  Author's response    Manuscript
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Short summary
For the first time, we generated a 1 km gridded-phenology product for three staple crops in China during 2000–2015, called ChinaCropPhen1km. Compared with the phenological observations from the agricultural meteorological stations, the dataset had high accuracy, with errors of retrieved phenological date of less than 10 d. The well-validated dataset is sufficiently reliable for many applications, including improving the agricultural-system or earth-system modeling over a large area.