Articles | Volume 13, issue 10
Earth Syst. Sci. Data, 13, 4799–4817, 2021
https://doi.org/10.5194/essd-13-4799-2021
Earth Syst. Sci. Data, 13, 4799–4817, 2021
https://doi.org/10.5194/essd-13-4799-2021

Data description paper 21 Oct 2021

Data description paper | 21 Oct 2021

GCI30: a global dataset of 30 m cropping intensity using multisource remote sensing imagery

Miao Zhang et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on essd-2021-86', J. Fan, 11 Aug 2021
  • CC2: 'Comment on essd-2021-86', J. Fan, 11 Aug 2021
    • AC2: 'Reply on CC2', Miao Zhang, 23 Sep 2021
  • RC1: 'Comment on essd-2021-86', Liang You, 12 Aug 2021
    • AC4: 'Reply on RC1', Miao Zhang, 23 Sep 2021
  • RC2: 'Comment on essd-2021-86', Anonymous Referee #2, 21 Aug 2021
    • AC5: 'Reply on RC2', Miao Zhang, 23 Sep 2021
  • AC3: 'Comment on essd-2021-86 from Topical Editor', Miao Zhang, 23 Sep 2021
    • AC6: 'Reply on AC3', Miao Zhang, 24 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Miao Zhang on behalf of the Authors (24 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to technical corrections (27 Sep 2021) by Yuyu Zhou
ED: Publish as is (29 Sep 2021) by Yuyu Zhou
AR by Miao Zhang on behalf of the Authors (30 Sep 2021)  Author's response    Manuscript
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Short summary
Cropping intensity (CI) is essential for agricultural land use management, but fine-resolution global CI is not available. We used multiple satellite data on Google Earth Engine to develop a first 30 m resolution global CI (GCI30). GCI30 performed well, with an overall accuracy of 92 %. GCI30 not only exhibited high agreement with existing CI products but also provided many spatial details. GCI30 can facilitate research on sustained cropland intensification to improve food production.