Articles | Volume 13, issue 1
Earth Syst. Sci. Data, 13, 63–82, 2021
https://doi.org/10.5194/essd-13-63-2021
Earth Syst. Sci. Data, 13, 63–82, 2021
https://doi.org/10.5194/essd-13-63-2021

Data description paper 14 Jan 2021

Data description paper | 14 Jan 2021

A 30 m resolution dataset of China's urban impervious surface area and green space, 2000–2018

Wenhui Kuang 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 Wenhui Kuang on behalf of the Authors (17 Sep 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (08 Oct 2020) by Yuyu Zhou
RR by Anonymous Referee #1 (17 Oct 2020)
RR by Anonymous Referee #2 (21 Oct 2020)
ED: Publish subject to minor revisions (review by editor) (04 Nov 2020) by Yuyu Zhou
AR by Wenhui Kuang on behalf of the Authors (10 Nov 2020)  Author's response    Manuscript
ED: Publish subject to technical corrections (22 Nov 2020) by Yuyu Zhou
AR by Wenhui Kuang on behalf of the Authors (24 Nov 2020)  Author's response    Manuscript
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Short summary
We propose a hierarchical principle for remotely sensed urban land use and land cover change for mapping intra-urban structure and component dynamics. China’s Land Use/cover Dataset (CLUD) is updated, delineating the imperviousness and green surface conditions in cities from 2000 to 2018. The newly developed datasets can be used to enhance our understanding of urbanization impacts on ecological and regional climatic conditions and on urban dwellers' environments.