An improved global land cover mapping in 2015 with 30&thinsp;m resolution (GLC-2015) based on a multisource product-fusion approach

Li, Bingjie; Xu, Xiaocong; Liu, Xiaoping; Shi, Qian; Zhuang, Haoming; Cai, Yaotong; He, Da

doi:https://doi.org/10.5194/essd-15-2347-2023

Articles | Volume 15, issue 6

https://doi.org/10.5194/essd-15-2347-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-15-2347-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 6

Data description paper

|

07 Jun 2023

Data description paper |

| 07 Jun 2023

An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach

Bingjie Li, Xiaocong Xu, Xiaoping Liu, Qian Shi, Haoming Zhuang, Yaotong Cai, and Da He

Supplement

https://doi.org/10.5194/essd-15-2347-2023-supplement

Data sets

An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multi-source product fusion approach Bingjie Li, Xiaocong Xu, Xiaoping Liu, Qian Shi, Haoming Zhuang, Yaotong Cai, and Da He https://doi.org/10.6084/m9.figshare.22358143.v2

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Short summary

A global land cover map with fine spatial resolution is important for climate and environmental studies, food security, or biodiversity conservation. In this study, we developed an improved global land cover map in 2015 with 30 m resolution (GLC-2015) by fusing the existing land cover products based on the Dempster–Shafer theory of evidence on the Google Earth Engine platform. The GLC-2015 performed well, with an OA of 79.5 % (83.6 %) assessed with the global point-based (patch-based) samples.