
Sang-hyun Lee
Agri-Hydrology Lab
About the Lab
The Agricultural Hydrology Laboratory evaluates the hydrological impacts of climate change and land-use change, aiming to develop appropriate adaptation strategies and establish sustainable watershed management systems and integrated water resource frameworks. To improve understanding of complex hydrological processes and uncertainties, we identify limitations of existing hydrological modeling approaches and apply advanced data- and physics-based techniques to develop enhanced modeling methodologies capable of predicting environmental changes and agricultural watershed shifts. Our laboratory is actively engaged in research that leverages AI, satellite data, and other technologies to address hydrology-related challenges, lead advancements in regional applications, and strengthen national and regional policy capabilities.
Key Research Areas
Climate Change and Extreme Weather Adaptation
Research on evaluating and predicting natural disasters such as droughts using AI and satellite data, and developing predictive models.
Data-Driven Research
Analysis and interpretation of hydrological data using big data analytics and AI technologies.
Advanced Modeling Techniques
Development of distributed, physics-based soil and water modeling approaches utilizing GIS and remote sensing technologies.
Scenario-Based Research
Proposing sustainable water resource management strategies and eco-friendly agricultural practices through scenario modeling.