ArticleScientific data2025
A 1.5 m resolution land cover map of Southern China created with Superpixel U-Net.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- A 1.5 m resolution land cover map of Southern China created with Superpixel U-Net.Scientific data · 2025Article
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7 authors.
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Abstract
Accurate land cover mapping is essential for supporting ecological protection and resource management. However, in regions with complex and fragmented landscapes, such as Southern China (SC), existing medium- and high-resolution land cover products exhibit limited accuracy. To address this challenge, we developed Superpixel_U-Net, a multi-head segmentation algorithm that combines semantic segmentation and superpixel segmentation, to generate a 1.5 m land cover map for SC (the SCLC map). Towards this purpose, we acquired 6.1 TB very-high-resolution (VHR) ESRI World imagery and manually annotated 43,000 VHR images into eight land cover classes. Vegetation and water indices derived from Sentinel-2 imagery were used as auxiliary inputs to enrich spectral features. The resulting SCLC map achieved Pixel Accuracy (PA) values of 88.83% and 90.66% in the pixel-level and patch-level validations respectively, and showed a strong agreement with official survey reports (R
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