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Topics
Topics
Remote sensing in hydrology (validation, improvement and application)
Data analysis
Applications of machine learning techniques for hydrological studies
Climate change and extreme events
Data merging
Climate change impact analysis
Highlights
Mapping Water Levels from Space:
A Scalable Framework for Reservoir Monitoring
Han, K., Kim, S., Mehrotra, R., & Sharma, A. (2025). A Scalable Framework for Reservoir Water Level Monitoring Using Optical–SAR Integration in Data-Sparse Regions. IEEE Trans. Geosci. Remote Sens., 63, 4212312.
Hydrology Without Gauges:
A Surrogate Model for Streamflow Prediction
Yoon, H.N., Marshall, L., Sharma, A., & Kim, S. (2025). Doing Hydrology when no in-situ data exists: Surrogate River discharge Model (SRM). Environmental Modelling & Software, 186, 106334.
Advanced Monitoring of Complex Water Bodies:
The Measurement of Reservoir Level from Altimetry (MoRLa)
Han, K., Kim, S., Mehrotra, R., & Sharma, A. (2024). Enhanced water level monitoring for small and complex inland water bodies using multi-satellite remote sensing. Environmental Modelling & Software, 180, 106169.
Water Balance Approach for filling gaps in satellite-based soil moisture data
Zhang, R., Kim, S., Kim, H., Fang, B., Sharma, A., & Lakshmi, V. (2023). Temporal Gap‐Filling of 12‐Hourly SMAP Soil Moisture Over the CONUS Using Water Balance Budgeting, Water Resour. Res., 59(12), e2023WR034457.
SNR-opt: a new data merging method outperforming the existing Triple Collocation-based weighted averaging
Kim S., Sharma A., Liu Y., Young I. S. (2022). Rethinking Satellite Data Merging: From Averaging to SNR Optimization, IEEE Trans. Geosci. Remote Sens., 60, 1–15.
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