Colubrid-Net: A Unified Cross-Modal Framework for Hydrological Forecasting in An Khe Reservoir, Vietnam

Nguyen Duc Quang-Anh, Nguyen Minh-Anh, Tran Thi Ngan, Hoang Thi Minh Chau

Abstract: Accurate reservoir water-level forecasting is critical for water resource management and flood mitigation in monsoon-affected regions like Vietnam. Traditional methods approaches fail to capture complex spatiotemporal dynamics in reservoir systems. This letter presents Colubrid-Net, a novel unified cross-modal architecture that combines satellite imagery and time series data for enhanced water-level prediction; to address temporal misalignment between monthly satellite observations and daily measurements, we proposed an interpolation mechanism with seasonal variations. Experiments on the An Khe reservoir data ranging from 2019 to 2022 show the robust results with an MAE of 0.0242, mse of 0.0022, and RMSE with 0.0464, substantially outperforming traditional baselines, showing the effectiveness of unified multimodal architectures for hydrological forecasting.

External IDs:doi:10.1109/lgrs.2025.3645672