Articles | Volume 12, issue 3
https://doi.org/10.5194/essd-12-1625-2020
https://doi.org/10.5194/essd-12-1625-2020
Data description paper
 | 
15 Jul 2020
Data description paper |  | 15 Jul 2020

Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform

Xiao Zhang, Liangyun Liu, Changshan Wu, Xidong Chen, Yuan Gao, Shuai Xie, and Bing Zhang

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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 Liangyun Liu on behalf of the Authors (02 May 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 May 2020) by David Carlson
RR by Anonymous Referee #1 (17 May 2020)
ED: Publish subject to minor revisions (review by editor) (29 May 2020) by David Carlson
AR by Liangyun Liu on behalf of the Authors (02 Jun 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (16 Jun 2020) by David Carlson
AR by Liangyun Liu on behalf of the Authors (17 Jun 2020)  Author's response    Manuscript
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Short summary
The amount of impervious surface is an important indicator in the monitoring of the intensity of human activity and environmental change. In this study, a global 30 m impervious surface map was developed by using multisource, multitemporal remote sensing data based on the Google Earth Engine platform. The accuracy assessment indicated that the generated map had more optimal measurement accuracy compared with other state-of-art impervious surface products.