High Resolution LiDAR data covering road networks in Nome, Alaska - Site1

Data are available for download at: https://arcticdata.io/data/10.57902/D74W2T/
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.

数据可通过以下链接下载：https://arcticdata.io/data/10.57902/D74W2T/。遥感技术可实现快速、精准且无破坏性的数据采集，支持近乎实时地获取偏远地区的相关信息。本数据集采集自阿拉斯加诺姆市以外的偏远区域，采用激光雷达（LiDAR）传感器获取道路及周边基础设施数据，作为多年冻土融化引发沉陷相关持续研究的组成部分。本次数据采集工作于2022年秋季开展，彼时台风梅尔博克（Typhoon Merbok）的残余环流刚侵袭诺姆市。部分数据记录了台风梅尔博克造成的破坏在初始修缮完成前的状态。该高质量数据集可为寒带区域研究、多年冻土研究及基础设施检测提供相关数据依据，同时可作为该区域遥感影像目标分类任务的参考资料。