Combination of Sentinel-2 Satellite Images and Meteorological Data for Crop Water Requirements Estimation in Intensive Agriculture

In arid and semi-arid regions, agriculture is an important element of the national economy, but this sector a large consumer water. context high pressure on water resources, appropriate management required. semi-arid, intensive agricultural systems, such as Tadla irrigated perimeter in central Morocco, amount lost by evapotranspiration (ET), farmers need effective decision support system for good irrigation management. The main objective study was to combine spatial resolution Sentinel-2 satellite meteorological data estimating crop requirements qualifying its strategy. dual approach FAO-56 (Food Agriculture Organization) model, based modulation evaporative demand, used estimation requirements. Sentinel-2A temporal images were type mapping deriving basal coefficient (Kcb) NDVI data. Meteorological also requirement simulation, using SAMIR (satellite monitoring irrigation) software. results allowed spatialization area crops during 2016–2017 season. general, crops’ at maximum months March April, critical period starts from February most crops. Maps developed. They showed variability over time development their estimated obtained constitute indicator how should be distributed order improve efficiency scheduling