LiDAR Point Cloud Dataset for AI-Driven Analysis of a Long Road Segment Along the Dalton Highway (Rouche Moutonee Creek - Toolik Lake), 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 the road conditions, offering valuable information for terrain analysis and landscape monitoring.遥感技术可实现快速、精准且无损的数据采集，能够以近实时的方式获取偏远区域的观测数据。为持续推进北极寒区研究相关地理空间数据的增补工作，研究团队沿阿拉斯加州道尔顿公路采集了激光雷达（LiDAR）传感器数据。道尔顿公路又称阿拉斯加11号公路，是一条偏远却至关重要的交通走廊，起于利文古德（Livengood），止于北冰洋附近的戴德霍斯（Deadhorse），全长约414英里。该公路为前往普拉德霍湾油田提供了关键通行条件，是本地区能源开发的核心后勤通道。本次数据采集工作于2024年8月开展，配套生成的点云数据可清晰反映公路沿线路况，为地形分析与景观监测提供了极具价值的参考信息。