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Webinar by Reihaneh Zarrabi (University of Alabama)

 

When: Thursday, November 19⋅2:00 – 3:00pm

 

Title:  HydroGeom: Bankfull and Mean-Flow Channel Geometry Estimation Through Machine Learning Algorithms Across the Contiguous United States
 

Abstract: This webinar will present the development of a machine learning–based river channel geometry dataset covering approximately 2.7 million river reaches across the contiguous United States. The presentation will introduce the observational data and modeling framework used to estimate river channel dimensions, followed by a demonstration of tools developed to make the dataset accessible through an interactive website, API, and Python package. Potential applications and implications for large-scale hydrologic and hydraulic modeling will also be briefly discussed.
 

Register: here

 

 


Upcoming Events

December 7-11, 2026 at the AGU26 Annual Meeting in San Francisco, CA.

 

January 10-14, 2027 at the AMS 107th Annual Meeting in Denver, CO.