Mapping photovoltaic power plants in China using Landsat, random forest, and Google Earth Engine

Zhang, Xunhe; Xu, Ming; Wang, Shujian; Huang, Yongkai; Xie, Zunyi

doi:https://doi.org/10.5194/essd-14-3743-2022

Articles | Volume 14, issue 8

https://doi.org/10.5194/essd-14-3743-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-14-3743-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 8

Data description paper

|

17 Aug 2022

Data description paper |

| 17 Aug 2022

Mapping photovoltaic power plants in China using Landsat, random forest, and Google Earth Engine

Xunhe Zhang, Ming Xu, Shujian Wang, Yongkai Huang, and Zunyi Xie

Data sets

The dataset of photovoltaic power plant distribution in China by 2020 Xunhe Zhang, Shujian Wang, Yongkai Huang, Zunyi Xie, and Ming Xu https://doi.org/10.5281/zenodo.6849477

Short summary

Photovoltaic (PV) power plants have been increasingly built across the world to mitigate climate change. A map of the PV power plants is important for policy management and environmental assessment. We established a map of PV power plants in China by 2020, covering a total area of 2917 km². Based on the derived map, we found that most PV power plants were situated on cropland. In addition, the installation of PV power plants has generally decreased the vegetation cover.