Good and reliable data on quality and quantity of food for shellfish are important tools in the optimization of shellfish culture in coastal waters. Spatial and temporal fluctuations in food quantity and quality influence biomass production and meat yield. This case study aims to identify and collect the environmental variables that influence mussel growth on bottom culture mussel farms in the Netherlands using Earth Observation data, with the aim to improve culture practices. In a first step, satellite remote sensing data is combined with field data on mussel growth and meat content and with environmental data on mussel plot scale. Therefore, Sentinel 3 EO data were processed into spatiotemporal information on chlorophyll-a, turbidity, and sea surface temperature. Growth of mussels (Mytilus edulis) on bottom culture sites was measured at 12 contrasting locations in the Oosterschelde and 12 contrasting locations in the Wadden Sea from April to October 2017. Similar sized mussels (30 mm ± 2mm) were placed in baskets close to the bottom and monthly subsamples were analyzed for their specific growth rate (SGR) and condition index (CI). Spatiotemporal point data of mussel performance, and EO data of water temperature, food quantity and quality, together with interpolated plot specific data of current velocity, depth and salinity were used to perform a multivariate analysis to determine the factors that explain most of the spatiotemporal variation in SGR and CI on the mussel culture sites. Use of earth observation data for optimizing mussel culture practices on bottom plots is discussed.