Hyongki Lee

Associate Professor

University of Houston

United States

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About

Hyongki Lee is an Associate Professor at the University of Houston, United States. His research focuses on flood forecasting, hydropower impacts, and satellite remote sensing. Recent publications include work on scalable models for flood extent forecasting, assessing satellite acquisition coincidences with flood events, and analyzing the impacts of reservoir operations on downstream inundation.

Articles (20)

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2020

Collaborators (6)

William Straka III

University of Wisconsin-Madison

UNITED STATES

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Gustavious Williams

Associate Professor

Brigham Young University

UNITED STATES

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Luis Fernandez

Research Associate Professor

Wake Forest University

UNITED STATES

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Julian Leyland

Professor of Physical Geography

University of Southampton

UNITED KINGDOM

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Stephen Darby

University of Southampton

UNITED KINGDOM

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Faisal Hossain

Professor

University of Washington

UNITED STATES

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Hyongki Lee

Research Interests

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About

Articles (20)

An interpretable and scalable model for rapid flood extent forecasting using satellite imagery and machine learning with rotated EOF analysis

Assessing Coincidence of Satellite Acquisitions and Flood Events to Predict Suitability for Flood Map Synthesis

Forecast-Informed Reservoir Operations within a Satellite-Based Framework for Mountainous and High-Precipitation Regions: Case of the 2018 Kerala Floods

Assessing Impacts of Hydropower Development on Downstream Inundation Using a Hybrid Modeling Framework Integrating Satellite Data‐Driven and Process‐Based Models

Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling

Forecasting Flood Inundation in U.S. Flood-Prone Regions Through a Data-Driven Approach (FIER): Using VIIRS Water Fractions and the National Water Model

Estimation of Coastal Area and Lake Water Level Changes Using High-Resolution Altimetry

Estimating the Impacts of Ungauged Reservoirs Using Publicly Available Streamflow Simulations and Satellite Remote Sensing

Operational forecasting inundation extents using REOF analysis (FIER) over lower Mekong and its potential economic impact on agriculture

Reservoir operation impacts on streamflow and sediment dynamics in the transboundary river basin, Vietnam

The Rise and Fall of Alaska and Yukon Glaciers Detected by TOPEX/Poseidon and Jason-2 Altimeters Using a Novel Glacier-Threshold Method

Streamflow Prediction in Highly Regulated, Transboundary Watersheds Using Multi‐Basin Modeling and Remote Sensing Imagery

Reservoir Assessment Tool 2.0: Stakeholder driven improvements to satellite remote sensing based reservoir monitoring

Towards a global Reservoir Assessment Tool for predicting hydrologic impacts and operating patterns of existing and planned reservoirs

Detecting vulnerability of humid tropical forests to multiple stressors

Estimating discharges for poorly gauged river basin using ensemble learning regression with satellite altimetry data and a hydrologic model

Hindcast and forecast of daily inundation extents using satellite SAR and altimetry data with rotated empirical orthogonal function analysis: Case study in Tonle Sap Lake Floodplain

Internal kinematics of the Slumgullion landslide (USA) from high-resolution UAVSAR InSAR data

Monitoring river basin development and variation in water resources in transboundary Imjin River in North and South Korea using remote sensing

Streamflow prediction in “geopolitically ungauged” basins using satellite observations and regionalization at subcontinental scale

Collaborators (6)

William Straka III

Gustavious Williams

Luis Fernandez

Julian Leyland

Stephen Darby

Faisal Hossain

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