Water sustainability is becoming a key concern worldwide due to hydrological uncertainty, climate change, landuse landcover changes, and growing water pollution. These drivers greatly influence the catchment hydrology and thus their roles cannot be undermined while assessing both surface and groundwater resources. These aspects draw paramount significance in catchments with large heterogeneity and spatial complexities such as mountainous and urban catchments, data scare regions, and low-income countries where investment in hydrological monitoring network and installation of IoT sensors is very limited. It is therefore warranted to leverage geospatial, machine learning and decision science techniques to improve the understanding of catchment hydrology and the adverse consequences of climate change and anthropogenic drivers on surface and groundwater resources, which may play vital role in intensifying water, food and energy security. The worldwide readily available satellite remote sensing data and global data products of hydrometeorological and biophysical parameters enable us to leverage potential of geospatial and machine learning techniques in addressing challenges associated with climate change, landuse landcover changes, water scarcity, groundwater management, and ecosystem services.
This session aims to bring together professionals from multidisciplinary fields such as hydrology, hydrogeology, geosciences, agriculture, and environmental sciences & engineering to share their innovative ideas, research outcomes, and innovative insights obtained from case studies of different catchment settings by utilizing geospatial, artificial intelligence and machine learning techniques. We solicit novel contributions from the researchers to investigate and manifest revolutionary developments in the catchment hydrology by utilizing Remote Sensing with Satellite and Drone Platforms, GIS, Artificial Intelligence (AI), and Machine Learning (ML) techniques for addressing pressing challenges of water sustainability in mountainous and urban catchments and data scarce regions. The combined use of these technologies is revolutionizing and providing powerful tools in analysing and understanding complicated hydrological processes, which in turn will be very useful in evolving effective water resource management strategies to foster sustainable development and ecosystem-based adaptation to hydrological uncertainty, climate change and anthropogenic drivers.