High Resolution LiDAR data covering road networks in Nome, Alaska - SiteV_2

Data are available for download at: https://arcticdata.io/data/10.57902/D70590/ Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.本数据集可通过以下链接下载：https://arcticdata.io/data/10.57902/D70590/。遥感技术可实现快速、精准且无破坏性的数据采集，同时支持近乎实时地获取偏远区域的观测数据。本次采集的道路及周边基础设施数据，由激光雷达（LiDAR）传感器在阿拉斯加州诺姆市外围的偏远区域完成，属于多年冻土融化相关地表沉降持续性研究的一部分。此次数据采集工作于2022年秋季开展，时值台风‘梅尔博克’（Merbok）残余环流影响诺姆市期间。部分数据记录了台风‘梅尔博克’侵袭后、初始修复作业开展前的区域损毁情况。该高质量数据集可为寒区研究、多年冻土研究以及基础设施检测提供相关数据支撑，同时可作为该区域遥感影像目标分类任务的参考数据集。