Xueying LiView profile
Researcher
- Climatic and anthropogenic impacts on the water-energy cycle
- Remote sensing in hydrology and water resources management
- Modelling, machine learning, and data-driven approaches
- +3 more
Xueying Li is an Academic Staff member in the Department of Remote Sensing at the Helmholtz Centre for Environmental Research (UFZ) in Germany since 2023. She holds a PhD in Hydraulic Engineering from Tsinghua University (2018-2023), including academic visitor experience at the University of Oxford (2022-2023). Her research focuses on climatic and anthropogenic impacts on water-energy cycles, remote sensing applications in hydrology, and data-driven modeling of environmental systems. She contributes to projects like AGRIWATER (ESA-MOST Dragon 6) and collaborates across international teams. 2023: PhD, Tsinghua University 2022-2023: Academic Visitor, University of Oxford 2014-2018: Bachelor, China Agricultural University Her scientific work examines terrestrial water dynamics under climate change, particularly across the Tibetan Plateau and Chinese river basins. She develops data-driven models like SM2R for runoff estimation and advances remote sensing techniques for soil moisture, precipitation, and land surface temperature monitoring. Publications span high-impact journals including Nature Climate Change and Water Resources Research , with recognition through Tsinghua University awards and National Scholarships in China. Key trends in her publications include: Climate change impacts on water storage and runoff patterns Machine learning and data fusion approaches in hydrological modeling Remote sensing for terrestrial water cycle analysis Compound environmental risk assessment in dry regions High-resolution environmental monitoring techniques Integration of multi-source geospatial data Scientific honors include: Outstanding PhD Thesis, Tsinghua University (2023) Outstanding PhD Graduates, Tsinghua University (2023) Chinese Youth in Water Sciences Outstanding Paper Award (2022) National Scholarship, China (2022, 2019, 2017) National Outstanding Graduates in Hydrologic Engineering, China (2018) She contributes to interdisciplinary research platforms like the Integration Platform 'Robust Pictures of the Future' and collaborates with institutions including Tsinghua University, University of Oxford, and China Agricultural University. Her work supports sustainable water management strategies through advanced earth observation and computational modeling.









