LiDAR Dataset for Predictive Analytics in Arctic Roadway Resilience: Point Cloud Data Visualizing 72km of the Dalton Highway with Multiple Bridges (Hammon River - Chandalar), 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 start point is about 3.2 km from the Hammon River and shows evidence of road and bridge degradation as well as other features of the environment, offering information for predictive and terrain analytics.