A lightweight hybrid ViT-GNN framework for data-centric land cover mapping in the amazon biome using graph structural priors

Continuous monitoring of the Amazon biome demands land cover classification models that are both highly sensitive and computationally feasible. To resolve the inherent trade-off between architectural complexity and predictive performance in spatial deep learning, this study introduces the Vision Tra…

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