The surface albedo is an Essential Climate Variable (ECV) that needs to be generated on a regular basis in order to ensure continuous estimates as a contribution of the radiation budget to water and carbon balance. First of all, the removal of atmospheric effects must be properly handled. Thus, the consistency of the MAJA method for Sentinel-2 and Landsat-8 is clearly an asset. The present developments are intended to generate a time evolving surface albedo product at the enhanced resolution of 10m to foster an advanced research in agricultural area. Further, surface albedo product will be considered to estimate the radiation forcing due to the surface since for instance maintaining permanently vegetation, instead of having episodes of bare soil, would contribute to cool the atmosphere notably, thereby reducing carbon emission. Hence, the method – applied to become operational since inherited from Copernicus Global Land Service - makes use of the well-established approach based on a semi-empirical BRDF kernel-driven model. Such model is applied to Level 2a data sets of Sentinel-2 and Landsat-8. BRDF coefficients can serve to perform a normalization of the data and also to compute the spectral albedo in weighing the angular integrated kernels. Narrow to broadband albedo conversion rely on PROSAIL model ditto. Surface albedo products are generated with a quality control and an uncertainty assessment. A composite period of several weeks must be considered to gather sufficient observations in order to build a BRDF product from which the surface albedo is derived. The potential impact due to the frequency of revisit offered by Sentinel2-A & -B plus Landsat-8 is assessed through a time evolution analysis. For time being, the surface albedo product is refreshed during synthesis periods about 10 days or less based on an update of its intensity. Demonstrative results are shown for selected time periods of 2018. The validation is carried on for two anchor ICOS-like (Integrated Carbon Observation System) stations operated by CESBIO and located near Toulouse, which are covered by crops (maize, wheat, and sunflower, merely).