Water Stress Assessment in Austria based on Deep Learning and Crop Growth Modelling

Water is one of the most precious resources on this planet. With climate change, weather conditions, water availability and food security show ever higher variability. In this paper, the reaction of the different crop types in the Austrian part of the Danube basin to the extreme drought during 2018 in terms of water stress and water use efficiency are shown. For this, crop types were classified using deep learning methods and Sentinel-2 data were analyzed and combined with crop growth modelling to derive the water stress levels of the different crops.