用于水文流线描绘研究的卷积神经网络迁移学习数据集

定义：水文流线描绘是对水体（如河流、地下水等）流动路径的精确描述。它通过各种技术手段，如实地观测、数学模型、遥感监测等，来确定水流的方向、速度以及流量在空间和时间上的分布情况。例如，在研究河流时，水文流线描绘可以展示河水从上游到下游的流动轨迹，以及在不同河段的流速变化。

从 USGS 获取的用于罗文县和卡温顿流域水文流线检测的 LiDAR 衍生特征图的训练、验证和测试数据。

Definition: Hydrological Flow Line Mapping refers to the accurate description of the flow paths of water bodies such as rivers and groundwater. It utilizes various technical approaches including field observations, mathematical models, remote sensing monitoring, and others to determine the spatial and temporal distributions of flow direction, velocity, and discharge. For example, when conducting river research, hydrological flow line mapping can demonstrate the flow trajectory of river water from upstream to downstream, as well as the velocity variations across different river sections.

Training, validation and test datasets of LiDAR-derived feature maps for hydrological flow line detection in Rowan County and the Covington Basin, sourced from the USGS.