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Anupal Baruah
The University of AlabamaMeeting roles in:
Toward Robust Large-scale Evaluations of Flood Inundation Predictions
Flood Inundation Mapping within Operational Hydrological Forecasting: the July 4 Texas Flooding Case Study
Recent Advances in Remote Sensing and Modeling of Flood Inundation I Oral
A Framework for Large-scale Flood Inundation Mapping and Evaluation over an Extensive Benchmark Database.
Recent Advances in Remote Sensing and Modeling of Flood Inundation II Oral
Sensitivity of Terrain-based Flood Inundation Model (OWP HAND-FIM) Predictions to Channel Geometry: Insights from Bathymetric Adjustments of Rating Curves
Recent Advances in Remote Sensing and Modeling of Flood Inundation III Poster
Generation of High-Resolution Flood Inundation Maps from Airborne Imagery Using Supervised Machine Learning
Stage-Specific Intercomparison of Five Flood Inundation Models Across the Rising and Falling Limbs of a Flood Event
Flood Hazard Mapping in A Selected Reach of Teesta River in India Using 2-D Hydrodynamic Model BRAHMA-FM
Improving NOAA-OWP HAND Flood Depth Estimation with Machine Learning-Based Surrogate Modeling
Convolutional Neural Network Surrogate Modeling of Flood Inundation Predictions for the United States Operational Hydrological Forecasting Framework
Rise of the Guadalupe River: A Multifaceted post-event Analysis of the July 2025 Texas Flood event
Global-Scale Analysis of River Slope Monthly Variation Based on the SWOT River Vector Data Product
FIMserv v.1.0: A Tool for Streamlining Flood Inundation Mapping (FIM) Using the United States Operational Hydrological Forecasting Framework
A Framework for the Evaluation of Flood Inundation Predictions Over Extensive Benchmark Databases
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