High-Resolution LiDAR Dataset for Machine Learning-Based Analysis of Arctic Road and Bridge Structures Along the Dalton Highway (Jim River III), Alaska, August 2024

Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. LiDAR sensor data were collected along Alaska's Dalton Highway as part of continued efforts to provide more geospatial data in Arctic regions relevant to cold region research. The Dalton Highway, also referred to as Alaska Route 11, is a remote and vital transportation corridor extending approximately 414 miles from Livengood to Deadhorse near the Arctic Ocean. The highway plays a critical role in facilitating access to the Prudhoe Bay Oil Fields and is a key logistical route for energy development in the region. The survey was conducted in August 2024; the corresponding point cloud data shows evidence of road degradation, the bridge, as well as other features of the environment. This dataset offers valuable information for permafrost analysis, machine learning, terrain analysis, and landscape monitoring.