High Resolution LiDAR data covering road networks in Nome, Alaska - Site5

Data are available for download at: https://arcticdata.io/data/10.57902/D7MW25/
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/D7MW25/
遥感技术能够快速、准确且无损地采集数据，使得近乎实时地获取偏远地区信息成为可能。作为多年冻土融化相关沉降持续研究的一部分，研究人员使用激光雷达传感器（LiDAR sensor）在阿拉斯加州诺姆市以外的偏远地区采集了道路及周边基础设施数据。该调查于2022年秋季进行，恰逢台风“默博克”（Typhoon Merbok）残余势力袭击诺姆市期间。部分数据记录了台风“默博克”造成的破坏，且这些破坏尚未进行初步修复。这些高质量数据为寒区研究、多年冻土研究及基础设施探测提供了重要的数据支撑。此外，该数据还可作为参考信息，用于该区域遥感影像的目标分类任务。