Remote sensing researcher at the National Institute of Forest Science (NIFoS), South Korea π°π·
- π² Working on CAS500-4 Cal/Val β UAV-based multispectral & LiDAR field campaigns for agricultural/forestry satellite validation
- π Research interests: SAR-based flood mapping, AI-driven water quality prediction, and Earth observation
- π M.S. in Earth Sciences and Environmental Engineering from GIST (HydroAI Lab) β AI Γ Hydrology Γ Remote Sensing
- π Latest publication: Enhancing Detection of Inundated Areas using Novel Hybrid PolSAR-Metaheuristic-Deep Learning Models β IEEE JSTARS
