Prof. Hyongki Lee

University of Houston, USA

Professor

Email: [email protected]

Qualifications

2008 Ph.D., The Ohio State University, Geodetic Science

2002 M.S., Yonsei University, Civil Engineering (Geomatics)

2000 B.S., Yonsei University, Civil Engineering

Publications (selected)

1. Prince, L., Hales, R. C., Markert, K. N., et al. (2025). Assessing coincidence of satellite acquisitions and flood events to predict suitability for flood map synthesis. Remote Sensing, 17(9), Article 1648.
2. Das, P., Suresh, S., Hossain, F., et al. (2025). Forecast-informed reservoir operations within a satellite-based framework for mountainous and high-precipitation regions: Case of the 2018 Kerala floods. Journal of Hydrologic Engineering, 30(2), Article 05025003.
3. Do, S. K., Du, T. L. T., Lee, H., et al. (2025). Assessing impacts of hydropower development on downstream inundation using a hybrid modeling framework integrating satellite data-driven and process-based models. Water Resources Research, 61(3), Article e2024WR037528.
4. Wan, H.-H., Lee, H., Du, T. L. T., et al. (2025). An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis. Environmental Modelling & Software, 192, Article 106562.
5. Ross, N., Rostami, A., Lee, H., et al. (2024). Monitoring reservoir water elevation changes using Jason-2/3 altimetry satellite missions: exploring the capabilities of JASTER (Jason-2/3 Altimetry Stand-Alone Tool for Enhanced Research). International Journal of Digital Earth, 17(1), Article 2406387.
6. Rostami, A., Chang, C.-H., Lee, H., et al. (2024). Forecasting flood inundation in US flood-prone regions through a data-driven approach (FIER): Using VIIRS water fractions and the National Water Model. Remote Sensing, 16(23), Article 4357.
7. Minocha, S., Hossain, F., Das, P., et al. (2024). Reservoir Assessment Tool version 3.0: a scalable and user-friendly software platform to mobilize the global water management community. Geoscientific Model Development, 17(8), 3137–3156.
8. Suresh, S., Hossain, F., Minocha, S., et al. (2024). Satellite-based tracking of reservoir operations for flood management during the 2018 extreme weather event in Kerala, India. Remote Sensing of Environment, 307, Article 114149.
9. Markert, K. N., Williams, G. P., Nelson, E. J., et al. (2024). Dense time series generation of surface water extents through optical-SAR sensor fusion and gap filling. Remote Sensing, 16(7), Article 1262.
10. Das, P., Hossain, F., Minocha, S., et al. (2024). ResORR: A globally scalable and satellite data-driven algorithm for river flow regulation due to reservoir operations. Environmental Modelling & Software, 176, Article 106026.
11. Bui, T. T. P., Kantoush, S., Kawamura, A., et al. (2023). Reservoir operation impacts on streamflow and sediment dynamics in the transboundary river basin, Vietnam. Hydrological Processes, 37(9), Article e14994.
12. Nguyen, N. T., Du, T. L. T., Park, H., et al. (2023). Estimating the impacts of ungauged reservoirs using publicly available streamflow simulations and satellite remote sensing. Remote Sensing, 15(18), Article 4563.
13. Tao, D., Cheng, Y.-S., Hwang, C., et al. (2023). The rise and fall of Alaska and Yukon glaciers detected by TOPEX/Poseidon and Jason-2 altimeters using a novel glacier-threshold method. Journal of Geophysical Research: Earth Surface, 128(6), Article e2022JF006977.
14. Chang, C.-H., Lee, H., Do, S. K., et al. (2023). Operational forecasting inundation extents using REOF analysis (FIER) over lower Mekong and its potential economic impact on agriculture. Environmental Modelling & Software, 162, Article 105643.
15. Das, P., Hossain, F., Khan, S., et al. (2022). Reservoir Assessment Tool 2.0: Stakeholder driven improvements to satellite remote sensing based reservoir monitoring. Environmental Modelling & Software, 157, Article 105533.
16. Du, T. L. T., Lee, H., Bui, D. D., et al. (2022). Streamflow prediction in highly regulated, transboundary watersheds using multi-basin modeling and remote sensing imagery. Water Resources Research, 58(3), Article e2021WR031191.
17. Saatchi, S., Longo, M., Xu, L., et al. (2021). Detecting vulnerability of humid tropical forests to multiple stressors. One Earth, 4(7), 988–1003.
18. Kim, D., Lee, H., Beighley, E., et al. (2021). Estimating discharges for poorly gauged river basin using ensemble learning regression with satellite altimetry data and a hydrologic model. Advances in Space Research, 68(2), 607–618.
19. Biswas, N. K., Hossain, F., Bonnema, M., et al. (2021). Towards a global Reservoir Assessment Tool for predicting hydrologic impacts and operating patterns of existing and planned reservoirs. Environmental Modelling & Software, 140, Article 105043.
20. Bose, I., Hossain, F., Eldardiry, H., et al. (2021). Integrating gravimetry data with thermal infra-red data from satellites to improve efficiency of operational irrigation advisory in South Asia. Water Resources Research, 57(4), Article e2020WR028654.

Profile Details

https://www.cive.uh.edu/faculty/lee
https://www.researchgate.net/profile/Hyongki-Lee
https://scholar.google.com/citations?user=Rp_Bl3gAAAAJ&hl=en

WOS ResearcherID: AAD-5210-2021