EarthPT is a self-supervised decoder transformer model with 700 million parameters, specifically designed for Earth Observation use-cases.
It efficiently predicts future pixel-level surface reflectances, outperforms other models in forecasting the Normalised Difference Vegetation Index, and can be used for highly detailed, dynamic land use classification.