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

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

doi:https://doi.org/10.5194/essd-12-197-2020

Articles | Volume 12, issue 1

https://doi.org/10.5194/essd-12-197-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-197-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

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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Final revised paper (published on 31 Jan 2020)
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Preprint (discussion started on 21 Aug 2019)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'crop phenological dataset', Anonymous Referee #1, 10 Sep 2019
- RC2: 'I suggest that the manuscript can be accepted after following the minor revision', Anonymous Referee #2, 14 Oct 2019
  - AC2: 'Response to Referee #2', zhao zhang, 13 Nov 2019
- AC1: 'Response to Referee #1', zhao zhang, 13 Nov 2019

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.