In this session, we aim to explore the joint use of remote sensing and various (process based and data driven) modelling techniques to support water quantity and quality management. We welcome contributions where remote sensing supports hydrological and water quality modelling (eg model evaluation, model calibration, data assimilation…) for real time forecasting or long term projections. Also research where modelling supports monitoring are welcome, eg combined use of remote sensing and artificial intelligence. Both water quantity and water quality applications are invited. Our strongest interest goes to studies that are making a link with water management and/or practical applications.