The main innovations are the determination of key soil, physical, and chemical properties from hyperspectral and thermal satellite measurements as well as from inverse modeling with integrated soil and solute balance models, including the validation by field and laboratory measurements. The second innovation is the downscaling of Grace satellite measurements to a sub-regional scale to compute storage changes in the unsaturated zone. 

The main innovations are developing scalable water and solute balance methodologies in the root zone utilizing the key soil physical and chemical properties derived under Work Package 1. Different parameterizations will be tested. The second innovation is to develop spatial crop yield variance models based on numerical models and remote sensing algorithms. 

The main innovations are Multi-source data fusion at the river basin scale and assessment of the modeling uncertainty for historic time series, and prediction of future conditions using a probabilistic multi-source data fusion calibration approach. Merging the water accounts with a basin-scale model to quantify irrigation processes at the river basin scale. Multiple scale calibration of various soil-chemistry models with different levels of complexity leads to a consistent water quality assessment procedure 

The main innovations are tightening the knowledge chain from fundamental science to farmers’ application through multistakeholder farming innovation platforms. Use mobile phone technology for integrated precision farming decision support/monitoring systems