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

Kuang, Wenhui; Zhang, Shu; Li, Xiaoyong; Lu, Dengsheng

doi:https://doi.org/10.5194/essd-13-63-2021

Articles | Volume 13, issue 1

https://doi.org/10.5194/essd-13-63-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-63-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 1

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, Shu Zhang, Xiaoyong Li, and Dengsheng Lu

Data sets

A 30-meter resolution dataset of impervious surface area and green space fractions of China's cities, 2000-2018 W. Kuang, S. Zhang, X. Li, and D. Lu https://doi.org/10.5281/zenodo.4034161

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.