 The EcoDataCube project provides a comprehensive dataset of Landsat, Sentinel-2, and Digital Terrain Model, DTM, data for Europe from 2000 to 2020+. The data is organized into four seasonal averages, 225th and 75th percentiles, and a 30M resolution DTM. Additionally, missing data points in the Landsat time series are imputed using a temporal moving window median, TMWM, algorithm. The data is then used to conduct land cover classification experiments, showing that models utilizing all components, DTM, Landsat, Sentinel-2, provide the best results. The data is available on the EcoDataCube platform and can be accessed via stack or the EcoDataCube data portal. This article was authored by Martijn Wiches, Leandro Parente, Jossip Crescent, and others.