TESSERA is a foundation model developed at the University of Cambridge that processes time-series satellite imagery to enable downstream applications such as land classification and canopy height prediction. It extracts temporal patterns from multi-spectral satellite data, handling challenges like cloud corruption and large data volumes. The model is accessible via PyPI and precomputed embeddings for global satellite data.