Dataset for Transfer Learning with Convolutional Neural Networks for Hydrological Streamline Delineation study
Download (6.63 GB) This item is shared privately
dataset
modified on 2024-02-25, 17:52 Training, validation, and testing data of LiDAR-derived feature maps for hydrological streamline detection of Rowan County and Covington watersheds acquired from USGS
Funding
Category II: ACES - Accelerating Computing for Emerging Sciences
Directorate for Computer & Information Science & Engineering
Find out more...HDR Institute: Geospatial Understanding through an Integrative Discovery Environment
Directorate for Computer & Information Science & Engineering
Find out more...