Increasing irrigated area necessitates incorporation of irrigation water requirements in regional hydrological modelling. Proper quantification agricultural of water use and water demand is crucial for optimal water allocation to alleviate the impacts of changing climatic condition and socio-economic on current and future water availability. Existing large-scale high-resolution hydrological model uses potential evapotranspiration that translates into optimal crop growth under non-limiting water. This assumption leads to overestimation of water use in irrigated field. This PhD research will seek to improve the estimation of hydrological model by integrating high spatial and temporal tools for agricultural water use assessments. The Rhine River basin is chosen as the initial model experiment for its high-quality forcing data and hydrological parameters. The model leverage freely multi-sources satellite data and different data processing methods which aims for more applicability in various river basins and time scales.