TESSERA uses a masked autoencoder architecture to process satellite imagery at a pixel level. This foundation model enables precise land-cover mapping and environmental monitoring without requiring massive labeled datasets. Tessera outperforms traditional CNNs in spatial resolution. Practitioners can now fine-tune the model for specific geospatial tasks with significantly less training data.