This paper describes a practical approach for the prescription of variable rate fertilization maps using remote sensing data (RS) based on satellite platforms, Landsat 8 and Sentinel-2 constellation. The methodology has been developed and evaluated in Albacete, Spain, in the framework of the project FATIMA (http://fatima-h2020.eu/). The global approach considers the prescription of N management prior to the growing season, based on a spatially distributed N balance. Although the diagnosis of N status showed promising results, the necessity of prognostic tools for N management is undiscussed for crops like wheat. The spatially distributed N balance relies in the use of management zone maps (MZM) based on temporal series of RS data. The MZMs are calculated for previous growing seasons, based on the up-to-date RS approaches to estimate yield and biomass, and captures the within-field variability of crop production. Thus, the classical N balance model is used to calculate the N requirements at pixel scale, varying the soil properties when the input data are available and the target yield according to the MZM. It has been implemented trials and demonstration activities in commercial fields in the study area, analyzing the performance of the proposed fertilization strategies. The preliminary results indicated the possible optimization of the N application, maintaining or increasing the crop productivity and reaching the higher levels of yield quality in the area.