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...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| 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 |