Contact Information
Biography
Dr. Jida Wang is a broadly-trained physical geographer and hydrologist. His work focuses on surface water abundance and dynamics, particularly in lakes, reservoirs, and wetlands. He studies how these water stores function as sentinels, regulators, and integrators of climate change, and how lakes of different types interact with the river systems, the cryosphere, the carbon cycle, and human water managements. He conducts such studies through applications and innovations of integrated methods, which combine multi-sensor satellite remote sensing, in situ measurements, hydrological modeling, and AI/ML.
Research Interests
Dr. Jida Wang is a broadly-trained physical geographer and hydrologist. His work focuses on surface water abundance and dynamics, particularly in lakes, reservoirs, and wetlands. He studies how these water stores function as sentinels, regulators, and integrators of climate change, and how lakes of different types interact with the river systems, the cryosphere, the carbon cycle, and human water managements. He conducts such studies through applications and innovations of integrated methods, which combine multi-sensor satellite remote sensing, in situ measurements, hydrological modeling, and AI/ML.
Education
Ph.D., Geography, 2013, University of California Los Angeles (UCLA)
M.S., Environmental Resources Engineering, 2008, State University of New York - College of Environmental Science and Forestry (SUNY-ESF)
Additional Campus Affiliations
Associate Professor, Geography and Geographic Information Science
External Links
Recent Publications
Chen, T., Cooley, S. W., Madson, A., Ke, L., Wang, J., Zhang, Y., Xu, N., Liu, K., Zeng, F., Zhan, P., Fan, C., & Song, C. (2026). Satellites reveal contrasting seasonal buffering patterns of global lakes and reservoirs. Science Bulletin, 71(14), 3753-3764. https://doi.org/10.1016/j.scib.2026.06.024
Deng, Q., Nie, Y., Carrivick, J. L., Zhou, G. G. D., Lyu, Q., & Wang, J. (2026). A 10-m glacial lake dataset along the Sichuan-Tibet Railway using Sentinel-2 images. Geo-Spatial Information Science, 29(3), 1700-1713. https://doi.org/10.1080/10095020.2025.2601921
Feng, D., Yang, X., Pavelsky, T. M., Allen, G. H., Bates, P., Gleason, C. J., Gardner, J., Lehner, B., Wang, J., Cooley, S., Tarpanelli, A., Battin, T., Yamazaki, D., Durand, M., Raymond, P., Boothroyd, R., Lin, P., & Andreadis, K. M. (2026). Remote sensing and the new global river science. Nature Water, 4(6), 722-741. https://doi.org/10.1038/s44221-026-00665-2
Han, X., Zhang, G., Crétaux, J. F., Wang, J., Schwatke, C., Peng, M., Wang, X., Shum, C. K., Woolway, R. I., Ke, Y., Wang, Y., Zhou, T., & Xu, F. (2026). SWOT performance in monitoring water level of high-mountain lakes on the Tibetan Plateau. International Journal of Applied Earth Observation and Geoinformation, 148, Article 105236. https://doi.org/10.1016/j.jag.2026.105236
He, X., Wang, J., Allen, G. H., Gao, H., Rhoads, B., McQuillan, K., Bates, P. D., & Crétaux, J. F. (2026). From Lotic to Lentic: SWOT Characterizes Seasonal Hydrodynamics in the Lake-River Continuum. Geophysical Research Letters, 53(11), Article e2026GL122664. https://doi.org/10.1029/2026GL122664