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

<p>The continuous development of remote sensing techniques provides ample opportunities for high-resolution land-cover mapping. Although global 10 m land-cover products have made considerable progress over past few years, their simple classification system makes it difficult to meet the needs...

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Bibliographic Details
Main Authors: X. Zhang, L. Liu, T. Zhao, W. Zhang, L. Guan, M. Bai, X. Chen
Format: Article
Language:English
Published: Copernicus Publications 2025-08-01
Series:Earth System Science Data
Online Access:https://essd.copernicus.org/articles/17/4039/2025/essd-17-4039-2025.pdf
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Summary:<p>The continuous development of remote sensing techniques provides ample opportunities for high-resolution land-cover mapping. Although global 10 m land-cover products have made considerable progress over past few years, their simple classification system makes it difficult to meet the needs of diverse applications. In this work, we propose a hierarchical land-cover mapping framework to produce a novel global 10 m land-cover dataset with a fine classification system (called GLC_FCS10) using Sentinel-1 and Sentinel-2 time-series observations in 2023. First, the globally distributed training samples are hierarchically obtained from multisource prior products after applying a series of refinements. Then, a combination of hierarchical land-cover mapping, local adaptive modeling, and multisource features is used to produce land-cover maps for each <span class="inline-formula">5×5</span> geographical tile. Next, using 56 121 globally distributed validation samples and a third-party validation dataset (LCMAP_Val), the GLC_FCS10 is assessed. The GLC_FCS10 achieves an overall accuracy of 83.16 % and a <span class="inline-formula"><i>κ</i></span> coefficient of 0.789 globally and an overall accuracy of 85.09 % in the United States. Meanwhile, comparisons with five released 10 or 30 m land-cover products also demonstrate that GLC_FCS10 has higher accuracy and captures more diverse land-cover information than three of the released global 10 m land-cover products. In summary, the novel GLC_FCS10 land-cover maps can provide important support for high-resolution land-cover-related research and applications. The GLC_FCS10 can be freely accessed via <a href="https://doi.org/10.5281/zenodo.14729665">https://doi.org/10.5281/zenodo.14729665</a> (Liu and Zhang, 2025).</p>
ISSN:1866-3508
1866-3516