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

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.本数据集包含美国本土（Contiguous United States, CONUS）范围内，满岸流量与平均流量工况下估算得到的河道几何属性，具体涵盖河道宽度与深度。本次属性估算所采用的方法基于极限梯度提升回归（eXtreme Gradient Boosting Regression, XGBR）模型。本数据集可通过NHD要素的公共标识符COMID（Common Identifier）与国家水文数据集Plus（NHDPlusV2.1）建立关联。