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Sagy Cohen
University of AlabamaMeeting roles in:
Building Capacity in Water Science Through Experiential Learning: A Decade of The Water Prediction Innovators Summer Institute
Derivation of Full‑Depth Velocity Profiles across River Channels by using Drone-based Particle Imagining Velocimetry and Entry-based Velocity Distribution Model
Transferable Flood Inundation Mapping Using Deep Learning Trained on LISFLOOD-FP Outputs and Synthetic Hydrographs
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
Alluvial and River Corridor Systems: Innovations in Methods, Processes, and Dynamics Across Scales I Poster
A Framework for Large-scale Flood Inundation Mapping and Evaluation over an Extensive Benchmark Database.
Commission Error Analysis and Correction in Remote Sensing Flood Maps Using an Object-Oriented, Hydrologically Informed Approach
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
Benchmark Flood Inundation Mapping Using RGB Aerial Imagery and a Sub-Matrix Convolutional Neural Network
Bridging Return Period Gaps in Flood Inundation Mapping Using a Hybrid Deep Learning Approach
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
A Comparative Analysis of Operational Multi-Method Flood Inundation Mapping: Quantifying Fidelity–Accuracy Tradeoffs
Flood extent enhancement using terrain information for the OPERA Harmonized Landsat Sentinel-2 Dynamic Surface Water eXtent (DSWx-HLS) products
Improving NOAA-OWP HAND Flood Depth Estimation with Machine Learning-Based Surrogate Modeling
Alluvial and River Corridor Systems: Innovations in Methods, Processes, and Dynamics Across Scales II Oral
High-Fidelity Spatio-temporal Fusion of Multi-sensor Satellite Data: A Two-Stage Generative Adversarial Framework Built Upon ConvLSTM and ViT Deep Learning Models
Automated Extraction of River Channels and Morphological Attributes from SAR Imagery Using a Fine-Tuned Deep Learning Foundation Model and Computer Vision Post-Processing Algorithms
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
A Decade of Impact: The Water Prediction Innovators Summer Institute
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
Bankfull and Mean-Flow Channel Geometry Estimation Through Machine Learning Algorithms Across the CONtiguous United States (CONUS)
A Neural Network-Based Integration of HEC-RAS, LISFLOOD-FP, and OWP-HAND FIM for Enhanced Flood Inundation Mapping
Automated Basin-Scale River Reach Segmentation using Morphologic Attributes Derived from Sentinel-1 SAR and SAM2 Deep Learning Foundation Model
Remote Sensing-Based Mapping and Monitoring Salinity and Dissolved Oxygen in Mobile Bay and Coastal Alabama Using Deep Learning and Sentinel‑3 OLCI Data
CIROH DocuHub and Portal: Knowledge Management System for Collaborative Water Resources Research
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