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Belize Lane
Utah State UniversityMeeting roles in:
Enhancing Large-Scale Flood Inundation Mapping through Process-Based Classification
Predicting the Accuracy of Flood Inundation Forecasts from Terrain Variability
Probabilistic quantification of within-reach hydraulic geometry
Predicting Fish Passage in a Fragmented Riverscape to Inform Freshwater Mussel Reintroduction
Bankfull and Beyond: Identifying persistent reach-scale river corridor features from high-resolution topography
Terrain-Based Tools to Represent River Corridors Across Scales
Establishing a Functional Flows Framework for the Great Salt Lake Basin
Leveraging large-sample hydrology and machine learning to predict post-fire flood regimes and drivers across the western US
Leveraging River Channel Geometry to Enable Probabilistic Flood Inundation Forecasts Across Scales
Evaluation of the dominant spatial scales and factors influencing variability in channel widths, California, USA
Paired storms approach reveals amplified postfire floods and drivers
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