Faculty Profile for Dr. Eunsang Cho

profile photo for Dr. Eunsang Cho
Dr. Eunsang Cho
Assistant Professor — Ingram School of Engineering
IGRM 5311
phone: (512) 245-1826

Biography Section

Biography and Education

Dr. Eunsang Cho joined Texas State University (TXST) in the Fall 2023 as an Assistant Professor. Dr. Cho’s research background is primarily in hydrology and remote sensing, emphasizing quantifying climate and anthropogenic impacts on water resources, extreme events (e.g., floods and drought), and water-related infrastructure in natural and human systems. As a research tool, he uses field observations, remote sensing techniques (from UAV, aircraft, and satellite platforms), land surface and climate modeling, big-data analytics, and machine learning techniques. He obtained his B.S. (2010) and M.S. degrees (2014) from Hanyang University, Seoul, South Korea, and Ph.D. (2020) from the University of New Hampshire, USA. Prior to joining TXST, he worked as a Postdoctoral and Assistant Research Scientist in the Hydrological Sciences Laboratory at NASA Goddard Space Flight Center (GSFC), also affiliated with the Earth System Science Interdisciplinary Center (ESSIC), University of Maryland College Park from 2020 to 2023. He has published more than 25 peer-reviewed articles in renowned journals in hydrology, water resources, and geosciences including Water Resources Research, Remote Sensing of Environment, and Geophysical Research Letters. Recent articles were highlighted in the AGU EOS Science Magazine, ScienceDaily, and multiple magazines. At TXST, he is a lead PI of a NASA-funded flood prediction project (Jan 2023 – Jan 2026) collaborating with scientists at NASA GSFC, UMD, & UNH. He is also serving as a convenor of a session of the Conference on Hydrology, American Meteorological Society (AMS), and a review editor of Frontier in Big Data.

Research Interests

Hydrology and hydroclimate extremes (flooding, drought, wildfires, heatwaves)
Climate change impact on water resources
Snow hydrology & cold-region land processes
Sustainable water-related infrastructure design
Satellite remote sensing techniques and applications
Land surface hydrologic modeling and data assimilation
Big data analytics and machine learning

Selected Scholarly/Creative Work

  • Cho, E., Kwon, Y., Kumar, S. V., & Vuyovich, C. M. (2023). Assimilation of airborne gamma observations provides utility for snow estimation in forested environments. Hydrology and Earth System Sciences, 27(21), 4039–4056. https://doi.org/10.5194/hess-27-4039-2023
  • Bardaji, J., Bayazid, A., Tapia, J. I., Cho, E., Vuyovich, C., & Grogan, P. T. (2023). CONSTELLATION EVALUATION TOOLS FOR A NEW SNOW OBSERVING STRATEGY. IEEE. https://doi.org/10.1109/IGARSS52108.2023.10283209
  • Johnston, J., Jacobs, J. M., & Cho, E. (2023). Global Snow Seasonality Regimes from Satellite Records of Snow Cover. Journal of Hydrometeorology. https://doi.org/https://doi.org/10.1175/JHM-D-23-0047.1
  • Cho, E., Vuyovich, C. M., Kumar, S. V., Wrzesien, M. L., & Kim, R. S. (2023). Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments. The Cryosphere, 17(9), 3915--3931. https://doi.org/10.5194/tc-17-3915-2023
  • Proulx, H., Jacobs, J. M., Burakowski, E. A., Hunsaker, A. G., Sullivan, F. B., Palace, M., & Wagner, C. (2023). Brief communication: Comparison of in situ ephemeral snow depth measurements over a mixed-use temperate forest landscape. Cryosphere. https://doi.org/https://doi.org/10.5194/tc-2023-36

Selected Grants

  • Hwang, Sangchul Scott (Principal), Faroughi, Salah Aldin (Co-Principal), Cho, Eunsang (Co-Principal), Mandal, Sujata (Co-Principal). Multidisciplinary Research and Workforce Development on Fate and Transport of PFAS, DOE, Federal, $3520000. (Funded: April 2024 - March 2027). Grant.
  • Cho, Eunsang (Co-Principal). Emerging UAV gamma-ray and LiDAR snow observations for improved water supply modeling in the Missouri headwaters, U.S. Department of the Interior (Bureau of Reclamation), Federal, $991372. (Submitted: May 12, 2023, Funded: January 1, 2024 - Present). Grant.
  • Kim, Hyunhwan (Principal), Cho, Eunsang (Co-Principal). Generative Deep Learning for Predicting Engineering Properties of Polymer Modified Asphalt Binders, Texas State’s Center for Analytics and Data Science (CADS), Texas State University, $1000. (Submitted: December 22, 2023). Grant.
  • Cho, Eunsang (Principal). Groundwater Impact on S2S Snowmelt Flood Predictability, National Aeronautics and Space Administration (NASA), Federal, $648596. (Funded: January 1, 2023 - June 30, 2026). Grant.

Selected Service Activities

American Meteorological Society (AMS) Committee on Hydrology
January 1, 2024-December 31, 2027
Reviewer / Referee
Journal of Hydrometeorology
Editorial Review Board Member
Frontiers in Big Data
September 2023-Present
Reviewer / Referee
Scientific Data
Reviewer / Referee
Geophysical Research Letters