Accurate information about the available standing biomass on pastures is critical for the adequate management of grazing and its promotion to farmers. In this paper. machine learning models are developed to predict available biomass expressed as compressed sward height (CSH) from readily accessible meteorological. optical (Sentinel-2) and radar satellite data (Sentinel-1). https://www.roneverhart.com/Oceane-Eau-de-Toilette/