Published October 2, 2024 | Version v2
Dataset Open

Bankfull and Mean-flow Channel Geometry Dataset across the CONtiguous United States (CONUS)

Creators

  • 1. ROR icon University of Alabama
  • 2. university of alabama
  • 3. ROR icon Columbia University
  • 4. University of alabama

Contributors

Supervisor:

  • 1. ROR icon University of Alabama
  • 2. ROR icon Columbia University
  • 3. ROR icon Goddard Institute for Space Studies

Description

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.

Files

Bankfull_Meanflow_CONUS.txt

Files (216.3 MB)

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md5:d7c22261bfdc4515ed8a6a627c034d5e
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Additional details

Software

Repository URL
https://github.com/Reizrb/Bankfull-and-mean-flow-channel-geometry-for-CONUS
Programming language
Python, Jupyter Notebook