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

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

doi:https://doi.org/10.5194/essd-12-1625-2020

Articles | Volume 12, issue 3

https://doi.org/10.5194/essd-12-1625-2020

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

https://doi.org/10.5194/essd-12-1625-2020

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

Articles | Volume 12, issue 3

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

Data sets

Development of a global 30-m impervious surface map using multi-source and multi-temporal remote sensing datasets with the Google Earth Engine platform Xiao Zhang and Liangyun Liu https://doi.org/10.5281/zenodo.3505079

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.