Articles | Volume 13, issue 5
Earth Syst. Sci. Data, 13, 2437–2456, 2021
https://doi.org/10.5194/essd-13-2437-2021
Earth Syst. Sci. Data, 13, 2437–2456, 2021
https://doi.org/10.5194/essd-13-2437-2021

Data description paper 01 Jun 2021

Data description paper | 01 Jun 2021

A 30 m terrace mapping in China using Landsat 8 imagery and digital elevation model based on the Google Earth Engine

Bowen Cao et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Bowen Cao on behalf of the Authors (15 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (16 Mar 2021) by David Carlson
RR by Anonymous Referee #1 (11 Apr 2021)
ED: Reconsider after major revisions (14 Apr 2021) by David Carlson
AR by Bowen Cao on behalf of the Authors (22 Apr 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (26 Apr 2021) by David Carlson
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Short summary
In this study, the first 30 m resolution terrace map of China was developed through supervised pixel-based classification using multisource, multi-temporal data based on the Google Earth Engine platform. The classification performed well with an overall accuracy of 94 %. The terrace mapping algorithm can be used to map large-scale terraces in other regions globally, and the terrace map will be valuable for studies on soil erosion, carbon cycle, and ecosystem service assessments.