Jongmin Park

Jongmin Park works on environmental remote sensing and hydrology, using satellite data (such as Sentinel-1, GRACE, and GOCI-II), machine learning, and land surface models to study water storage, soil moisture, precipitation, drought/flood potential, and water quality in lakes and river basins. Some work also touches on indoor/vehicle air quality and mechanical fault diagnosis, suggesting collaborative or cross-disciplinary projects outside the core hydrology focus. This research is useful for students interested in combining satellite observation, environmental modeling, and data-driven techniques to monitor water resources and environmental conditions.

Publication output has grown over the last decade, with a notable increase in output starting around 2022 and peaking in 2024, following an earlier period of lower and more variable annual counts.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026