Kai Li is a Ph.D. candidate in Cartography and Geographic Information Systems at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. His research focuses on remote sensing of water-cycle elements, particularly the extraction, monitoring, and analysis of surface water and groundwater changes, with applications in resource and environmental sustainability. He has published about 40 papers, including first-author contributions in leading journals such as Remote Sensing of Environment, International Journal of Applied Earth Observation and Geoinformation, etc. He has also contributed to disaster-response and public-service projects, including emergency remote sensing support for the 2022 Pakistan floods and participation in China’s national natural disaster risk survey. In addition, he served as a temporary mentor in the Geospatial Data Lab of Harvard University, supporting teaching and student guidance. He also serves as a reviewer for several journals, such as International Journal of Applied Earth Observation and Geoinformation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Remote Sensing.