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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
https://dx.doi.org/10.57760/sc...
Dataset . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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GLC_FCS10: global 10 m land-cover dataset with fine classification system from Sentinel-1 and 2 time-series data

Authors: Liangyun, Liu; Xiao, Zhang;

GLC_FCS10: global 10 m land-cover dataset with fine classification system from Sentinel-1 and 2 time-series data

Abstract

Land cover is an indispensable basic data for the global carbon and water cycle, climate change research, ecological monitoring and food security assessment. Although the global 10 m land-cover products have made a lot progresses over past few years, their simple classification system is difficult to meet the needs of diverse applications.GLC_FCS10 is a novel global 10 m land cover product in 2023 generated from time-series Sentinel-1 and 2 imageries, it contains 30 fine land-cover types and achieves an overall accuracy of 83.16% and kappa coefficient of 0.789 using the globally distributed validation points. The specific description can be found at the corresponding algorithm article. The GLC_FCS10 can be visually visited at https://zhangxiao-glcproj.users.earthengine.app/view/glcfcs102023maps

Land cover is an indispensable basic data for the global carbon and water cycle, climate change research, ecological monitoring and food security assessment. Although the global 10 m land-cover products have made a lot progresses over past few years, their simple classification system is difficult to meet the needs of diverse applications.GLC_FCS10 is a novel global 10 m land cover product in 2023 generated from time-series Sentinel-1 and 2 imageries, it contains 30 fine land-cover types and achieves an overall accuracy of 83.16% and kappa coefficient of 0.789 using the globally distributed validation points. The specific description can be found at the corresponding algorithm article. The GLC_FCS10 can be visually visited at https://zhangxiao-glcproj.users.earthengine.app/view/glcfcs102023maps

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Keywords

Earth science, 10m, Geography, Surveying and mapping science and technology, Sentinel-1/2, Photogrammetry and remote sensing technology, Global, Land Cove

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average