Articles | Volume 17, issue 5
https://doi.org/10.5194/essd-17-1781-2025
https://doi.org/10.5194/essd-17-1781-2025
Data description paper
 | 
06 May 2025
Data description paper |  | 06 May 2025

The 20 m Africa rice distribution map of 2023

Jingling Jiang, Hong Zhang, Ji Ge, Lijun Zuo, Lu Xu, Mingyang Song, Yinhaibin Ding, Yazhe Xie, and Wenjiang Huang

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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-2024-402', Anonymous Referee #1, 22 Oct 2024
    • AC1: 'Reply on RC1', Hong Zhang, 02 Nov 2024
  • RC2: 'Comment on essd-2024-402', Anonymous Referee #2, 03 Nov 2024
    • AC2: 'Reply on RC2', Hong Zhang, 12 Nov 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Hong Zhang on behalf of the Authors (12 Nov 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (20 Nov 2024) by Hanqin Tian
RR by Anonymous Referee #1 (02 Dec 2024)
RR by Anonymous Referee #2 (28 Dec 2024)
ED: Reconsider after major revisions (29 Dec 2024) by Hanqin Tian
AR by Hong Zhang on behalf of the Authors (16 Jan 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (19 Jan 2025) by Hanqin Tian
RR by Anonymous Referee #2 (04 Feb 2025)
RR by Anonymous Referee #1 (12 Feb 2025)
ED: Publish subject to minor revisions (review by editor) (12 Feb 2025) by Hanqin Tian
AR by Hong Zhang on behalf of the Authors (13 Feb 2025)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (14 Feb 2025) by Hanqin Tian
AR by Hong Zhang on behalf of the Authors (19 Feb 2025)  Author's response   Manuscript 
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Short summary
This study uses temporal synthetic aperture radar (SAR) data and optical imagery to conduct rice-mapping experiments in 34 African countries with rice-planting areas exceeding 5000 ha in 2022, achieving a 20 m resolution spatial distribution mapping for 2023. The average classification accuracy based on the validation set exceeded 85 %, and the R2; values for linear fitting with existing statistical data all surpassed 0.9, demonstrating the effectiveness of the proposed mapping method.
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