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Hyunglok Kim

Hyunglok Kim

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Gwangju Institute of Science and Technology (GIST) · Earth Sciences and Environmental Engineering

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Professor

About

김형록 교수 연구실(Hydro AI 수문원격탐사 인공지능 연구실)은 GIST 지구·환경공학부 소속으로, 위성 원격탐사와 인공지능·기계학습, 지표 모델링을 융합해 전 지구 수문순환과 기후변화, 자연재해 예측을 연구한다. 위성 마이크로파 원격탐사로 토양수분과 물순환 변화를 관측하고 AI 기반 지구시스템 예측 모델을 개발한다.

Research keywords

Hydro AI 수문원격탐사 인공지능 연구실

Selected publications

  • Deep Learning Approaches for Streamflow Flash Drought Prediction Across the Contiguous United StatesJournal of Hydrology · 2026
  • Dynamics of groundwater-land surface response times as a dryland flash drought diagnosisCommunications Earth & Environment · 2026
  • Enhancing Detection of Inundated Areas using Novel Hybrid PolSAR-Metaheuristic-Deep Learning ModelsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2026
  • Process Guided Graph-based Transformer Learning for Streamflow Predictions in Data-Sparse River BasinsJournal of Hydrology · 2026
  • Beyond satellite-based precipitation data: A novel soil moisture physics framework with Green-Ampt and Bayesian optimization for rainfall estimationnpj Climate and Atmospheric Science · 2026
  • Simultaneous Estimation of Soil Moisture and Soil Organic Matter from Dielectric Measurements - Part 1: Optimal Estimation StrategyAgricultural and Forest Meteorology · 2026

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