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Qianhuizi Guo

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Open access 2026

NU-TSC: Weakly Supervised Forest/Nonforest Mapping Using Public Land Cover Products

Accurate forest-cover mapping is essential for large-scale resource monitoring; however, acquiring dense pixel-level labels remains costly and limits practical scalability. This study investigates the use of publicly available land-use/land-cover products (PLCPs) as supervisory signals to alleviate the scarcity of high...

Qianhuizi Guo, Ling Han, Qiu-Chang Xie et al. · 0 citations

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