Bankfull and Mean-flow Channel Geometry Dataset across the CONtiguous United States (CONUS)
| Authors: | |
|---|---|
| Owners: | Reihaneh Zarrabi |
| Type: | Resource |
| Storage: | The size of this resource is 206.3 MB |
| Created: | Oct 02, 2024 at 10:37 p.m. |
| Last updated: | Oct 14, 2024 at 12:43 p.m. (Metadata update) |
| Published date: | Oct 14, 2024 at 12:43 p.m. |
| DOI: | 10.4211/hs.63ae139ccd2445959470d0e5a2ebf6a5 |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 512 |
| Downloads: | 12 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
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.
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
49.0379°
East Longitude
-66.4453°
South Latitude
24.2069°
West Longitude
-125.1563°
Leaflet Map data © OpenStreetMap contributors
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| National Oceanic & Atmospheric Administration (NOAA) | the Cooperative Institute for Research to Operations in Hydrology (CIROH) through the NOAA Cooperative Agreement with The University of Alabama | NA22NWS4320003 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Sagy Cohen | University of Alabama | Alabama, US | ||
| Riley McDermott | University of Alabama - Tuscaloosa | AL, US | ||
| Mohammad Erfani | University of South Carolina | South Carolina, US |
How to Cite
Zarrabi, R., R. McDermott, M. Erfani, S. Cohen (2024). Bankfull and Mean-flow Channel Geometry Dataset across the CONtiguous United States (CONUS), HydroShare, https://doi.org/10.4211/hs.63ae139ccd2445959470d0e5a2ebf6a5
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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