A national dataset of 30&thinsp;m annual urban extent dynamics (1985–2015) in the conterminous United States

Li, Xuecao; Zhou, Yuyu; Zhu, Zhengyuan; Cao, Wenting

doi:https://doi.org/10.5194/essd-12-357-2020

Articles | Volume 12, issue 1

https://doi.org/10.5194/essd-12-357-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-357-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 1

Data description paper

|

17 Feb 2020

Data description paper |

| 17 Feb 2020

A national dataset of 30 m annual urban extent dynamics (1985–2015) in the conterminous United States

Xuecao Li, Yuyu Zhou, Zhengyuan Zhu, and Wenting Cao

Download

Final revised paper (published on 17 Feb 2020)
Supplement to the final revised paper
Preprint (discussion started on 10 Jul 2019)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

- Printer-friendly version

- Supplement

RC1: 'Review comments', Anonymous Referee #1, 26 Aug 2019
- AC1: 'Responses to reviewer comments', Yuyu Zhou, 23 Oct 2019
RC2: 'Review of Li et al.', Anonymous Referee #2, 25 Sep 2019
- AC2: 'Responses to reviewer comments', Yuyu Zhou, 23 Oct 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Yuyu Zhou on behalf of the Authors (02 Nov 2019) Author's response

ED: Referee Nomination & Report Request started (11 Nov 2019) by Kirsten Elger

ED: Publish as is (22 Jan 2020) by Kirsten Elger

AR by Yuyu Zhou on behalf of the Authors (23 Jan 2020) Manuscript

Download

Article (6913 KB)
Full-text XML

Short summary

The information of urban dynamics with fine spatial and temporal resolutions is highly needed in urban studies. In this study, we generated a long-term (1985–2015), fine-resolution (30 m) product of annual urban extent dynamics in the conterminous United States using all available Landsat images on the Google Earth Engine (GEE) platform. The data product is of great use for relevant studies such as urban growth projection, urban sprawl modeling, and urbanization impacts on environments.