Articles | Volume 15, issue 4
Data description paper
04 Apr 2023
Data description paper |  | 04 Apr 2023

Twenty-meter annual paddy rice area map for mainland Southeast Asia using Sentinel-1 synthetic-aperture-radar data

Chunling Sun, Hong Zhang, Lu Xu, Ji Ge, Jingling Jiang, Lijun Zuo, and Chao Wang


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-392', Anonymous Referee #1, 28 Jan 2023
    • AC1: 'Reply on RC1', Hong Zhang, 20 Feb 2023
  • RC2: 'Comment on essd-2022-392', Anonymous Referee #2, 07 Feb 2023
    • AC2: 'Reply on RC2', Hong Zhang, 20 Feb 2023

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 (23 Feb 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (14 Mar 2023) by Nophea Sasaki
AR by Hong Zhang on behalf of the Authors (15 Mar 2023)  Manuscript 
Short summary
Over 90 % of the world’s rice is produced in the Asia–Pacific region. In this study, a rice-mapping method based on Sentinel-1 data for mainland Southeast Asia is proposed. A combination of spatiotemporal features with strong generalization is selected and input into the U-Net model to obtain a 20 m resolution rice area map of mainland Southeast Asia in 2019. The accuracy of the proposed method is 92.20 %. The rice area map is concordant with statistics and other rice area maps.