Hydrology Remote Sensing Laboratory
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Overview
Overview
Hydrology Remote Sensing Laboratory (HRSL) is a leading research laboratory in hydrological remote sensing, affiliated with the Center for Space and Remote Sensing Research (CSRSR), National Central University (NCU), Taiwan.
Main research areas: Remote sensing, hydrometeorology (drought, tropical storm), GPS meteorology, ecological-environmental vulnerability assessment, AI technology in environmental data analysis
Contribute to the development of remote sensing and hydrology science, serving water resources management, disaster mitigation and sustainable development.
Training high-quality human resources, promoting international cooperation in the field of Earth observation.
Prof. Yuei-An Liou
About the Lab Head
About the Lab Head
Prof. Yuei-An Liou is the leader of the Hydrology and Remote Sensing Laboratory, where he directs advanced research on water resources and the environment in Asia, focusing on the impacts of climate change and human activities on surface water, groundwater systems, and regional environments. Under Prof. Liou's leadership, the laboratory has effectively applied remote sensing technology to monitor, assess, and forecast droughts, surface temperature fluctuations, and soil moisture, while integrating AI, machine learning, and deep learning models to automate big data analysis, detect trends, predict risks, and support decision-making in water, soil, and agricultural resource management. As a result, the laboratory has contributed to building intelligent monitoring systems, optimizing natural resource management processes, improving water use efficiency, reducing disaster risks, and supporting sustainable agricultural development in Asia and Taiwan
Research Areas
Research Areas
Remote Sensing: Optical, microwave, thermal infrared, satellite and airborne remote sensing
Hydrometeorology: Droughts, typhoons, floods, climate change
GPS Meteorology (GNSS): Atmospheric studies, weather forecasting
Geographic Information Systems (GIS)
Eco-environmental Vulnerability Assessment
Artificial Intelligence & Machine Learning: Environmental and disaster data analysis
Key Achievements
Key Achievements
Ranked top 0.76% worldwide in remote sensing, 0.57% in GPS, 0.95% in typhoon research, and 1.33% across all fields (ScholarGPS).
Multiple highly cited and award-winning papers, including recognitions from Web of Science, Energies “10th Anniversary Best Paper Awards”, and “Most Downloaded Paper Award”.
Major contributions to international Earth observation and disaster risk reduction projects, in collaboration with NASA, NOAA, ESA, VAST, and global universities and research institute
Collaboration & Training
Collaboration & Training
International projects with NASA, ESA, NOAA, VAST, and leading universities in the US, Japan, Korea, Vietnam, and more.
Developed the first Master’s program in Remote Sensing Science and Technology in Taiwan.
Organized and co-organized major international conferences: International Conference on Earth Observations and Societal Impacts (ICEO&SI), International Conference on Earth Observations and Natural Hazards (ICEO&NH).
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