Mapping 10&thinsp;m global impervious surface area (GISA-10m) using multi-source geospatial data

Huang, Xin; Yang, Jie; Wang, Wenrui; Liu, Zhengrong

doi:https://doi.org/10.5194/essd-14-3649-2022

Articles | Volume 14, issue 8

https://doi.org/10.5194/essd-14-3649-2022

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

https://doi.org/10.5194/essd-14-3649-2022

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

Articles | Volume 14, issue 8

Data description paper

|

11 Aug 2022

Data description paper |

| 11 Aug 2022

Mapping 10 m global impervious surface area (GISA-10m) using multi-source geospatial data

Xin Huang, Jie Yang, Wenrui Wang, and Zhengrong Liu

Supplement

https://doi.org/10.5194/essd-14-3649-2022-supplement

Data sets

Mapping 10-m global impervious surface area (GISA-10m) using multi-source geospatial data Xin Huang, Jie Yang, Wenrui Wang, and Zhengrong Liu https://doi.org/10.5281/zenodo.5791855

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Short summary

Using more than 2.7 million Sentinel images, we proposed a global ISA mapping method and produced the 10-m global ISA dataset (GISA-10m), with overall accuracy exceeding 86 %. The inter-comparison between different global ISA datasets showed the superiority of our results. The ISA distribution at urban and rural was discussed and compared. For the first time, courtesy of the high spatial resolution, the global road ISA was further identified, and its distribution was discussed.