Remote sensing products have great potential to support the monitoring and modelling of water resources. Nevertheless, their uptake by water managers remains limited because of concerns related to data quality, spatial and temporal resolution, trust, accessibility, and technical expertise.

In this session, we look for contributions on new developments that support the use of remote sensing data for water-management applications, from local to global scales. We welcome research aimed at improving the quality and usability of remote sensing products, such as higher spatial and/or temporal resolution mapping of land use and agricultural practices; improved assessments of river discharge, lake and reservoir volumes, and groundwater resources; drought monitoring and modelling and its impacts on water-stressed vegetation; and the monitoring and modelling of irrigation volumes.

We are also interested in studies assessing the quality of remote sensing products through uncertainty analysis or validation against independent data sources. Contributions that combine different techniques —such as physically based models and artificial intelligence—or integrate multiple data sources from different sensors, including remote sensing and in situ observations, are particularly welcome. Studies using different types of imagery, including satellite, airborne, and drone data, are also encouraged.

Finally, we invite presentations on the development of user-friendly platforms that follow the FAIR principles and provide smooth access to remote sensing data for water-management applications. We are particularly interested in applications of remote sensing to characterise human–water interactions and assess the impacts of climate change across the entire water cycle, including the connections between inland and sea (coastal) systems.