Reihaneh Zarrabi

University of Alabama

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Reihaneh Zarrabi shared Bankfull and Mean-flow Channel Geometry Dataset across the CONtiguous United States (CONUS)
Type: Resource
Date: Oct. 2, 2024, 10:37 p.m.

ABSTRACT:

This dataset includes estimated river channel geometry attributes, specifically width and depth, under bankfull and mean-flow conditions across the CONtiguous United States (CONUS). The method utilized for providing these estimations are based on eXtreme Gradient Boosting Regression (XGBR). This dataset can be linked to the National Hydrograohy Dataset Plus (NHDPlusV2.1) through Common identifier of the NHD feature, known as COMID.

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Bankfull and Mean-flow Channel Geometry Dataset across the CONtiguous United States (CONUS)
Created: Oct. 2, 2024, 10:37 p.m.
Authors: Zarrabi, Reihaneh

ABSTRACT:

This dataset includes estimated river channel geometry attributes, specifically width and depth, under bankfull and mean-flow conditions across the CONtiguous United States (CONUS). The method utilized for providing these estimations are based on eXtreme Gradient Boosting Regression (XGBR). This dataset can be linked to the National Hydrograohy Dataset Plus (NHDPlusV2.1) through Common identifier of the NHD feature, known as COMID.

Show More