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

Supplement

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

Data sets

A national dataset of annual urban extent (1985-2015) in the conterminous United States using Landsat time series data X. Li, Y. Zhou, Z. Zhu, and W. Cao https://doi.org/10.6084/m9.figshare.8190920.v2

The National Land Cover Database US Geological Survey https://www.mrlc.gov/data

The VIIRS nighttime light data National Oceanic and Atmospheric Administration https://ngdc.noaa.gov/eog/download.htm

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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.