Articles | Volume 14, issue 8
https://doi.org/10.5194/essd-14-3649-2022
https://doi.org/10.5194/essd-14-3649-2022
Data description paper
 | 
11 Aug 2022
Data description paper |  | 11 Aug 2022

Mapping 10 m global impervious surface area (GISA-10m) using multi-source geospatial data

Xin Huang, Jie Yang, Wenrui Wang, and Zhengrong Liu

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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-2021-458', Chong Liu, 17 Apr 2022
    • AC1: 'Reply on CC1', X. Huang, 25 Jun 2022
  • RC1: 'Comment on essd-2021-458', Anonymous Referee #1, 03 May 2022
    • AC2: 'Reply on RC1', X. Huang, 25 Jun 2022
  • RC2: 'Comment on essd-2021-458', Xian Guo, 12 May 2022
    • AC3: 'Reply on RC2', X. Huang, 25 Jun 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Xin Huang on behalf of the Authors (25 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to minor revisions (review by editor) (12 Jul 2022) by David Carlson
AR by Xin Huang on behalf of the Authors (21 Jul 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 Jul 2022) by David Carlson
AR by Xin Huang on behalf of the Authors (25 Jul 2022)  Manuscript 
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Short summary
Using more than 2.7 million Sentinel images, we proposed a global ISA mapping method and produced the 10-m global ISA dataset (GISA-10m), with overall accuracy exceeding 86 %. The inter-comparison between different global ISA datasets showed the superiority of our results. The ISA distribution at urban and rural was discussed and compared. For the first time, courtesy of the high spatial resolution, the global road ISA was further identified, and its distribution was discussed.
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