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We used Sentinel-2 & point-based NFI data as sparse labels for weakly supervised CNN-based national LC mapping. We also showed that pretraining a self-supervised MAE before finetuning with NFI data improved model performance.
doi.org/10.3390/rs17...
doi.org
A Weakly Supervised and Self-Supervised Learning Approach for Semantic Segmentation of Land Cover in Satellite Images with National Forest Inventory Data
National Forest Inventories (NFIs) provide valuable land cover (LC) information but often lack spatial continuity and an adequate update frequency. Satellite-based remote sensing offers a viable alter...
