REMOTE-SENSING BASED DSS FOR SUSTAINABLE DROUGHT-ADAPTED IRRIGATION MANAGEMENT.
To improve Irrigation Water Productivity (IWP) in water-stressed watersheds, by developing and validating an Information-Decision Support System (REDSIM-IS) based on Remote sensing (RS) information and simplified water balance and crop models to assist growers in implementing and managing efficiently deficit irrigation (DI) techniques.
General Objectives
The most relevant result to be expected from REDSIM is a wider adoption of good irrigation management practices (through the REDSIM information system) and environmentally sound irrigation strategies (Deficit irrigation). It is worth noting that the positive impact of REDSIM on water productivity will be obtained at a very low cost, as far as the basic information (remote sensing data, ground weather station) are freely provided by regional (IMIDA), national (AEMET) or international (NASA, ESRIN, ESA) organisations