Articles | Volume 14, issue 4
Earth Syst. Sci. Data, 14, 2065–2080, 2022
https://doi.org/10.5194/essd-14-2065-2022
Earth Syst. Sci. Data, 14, 2065–2080, 2022
https://doi.org/10.5194/essd-14-2065-2022
Data description paper
28 Apr 2022
Data description paper | 28 Apr 2022

High-resolution map of sugarcane cultivation in Brazil using a phenology-based method

Yi Zheng 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
  • RC1: 'Comment on essd-2021-88', Anonymous Referee #1, 14 Sep 2021
  • RC2: 'Comment on essd-2021-88', Anonymous Referee #2, 14 Dec 2021
  • AC1: 'Comment on essd-2021-88', Yi Zheng, 02 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Yi Zheng on behalf of the Authors (02 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (05 Mar 2022) by Kirsten Elger
AR by Yi Zheng on behalf of the Authors (06 Mar 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (10 Mar 2022) by Kirsten Elger
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Short summary
Brazil is the largest sugarcane producer. Sugarcane in Brazil can be harvested all year round. The flexible phenology makes it difficult to identify sugarcane in Brazil at a country scale. We developed a phenology-based method which can identify sugarcane with limited training data. The sugarcane maps for Brazil obtain high accuracy through comparison against field samples and statistical data. The maps can be used to monitor growing conditions and evaluate the feedback to climate of sugarcane.