High Resolution LiDAR data covering road networks in Nome, Alaska - Site6

Data are available for download at: https://arcticdata.io/data/10.57902/D7H59N/
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/D7H59N/
遥感（Remote sensing）能够快速、准确且无损地采集数据，实现对偏远地区的近实时访问。作为永久冻土（permafrost）融化相关沉降持续研究的一部分，研究人员使用LiDAR传感器采集了阿拉斯加州诺姆市以外偏远地区的道路及周边基础设施数据。调查于2022年秋季开展，恰逢台风梅博克（Typhoon Merbok）残余势力袭击诺姆市期间。其中部分数据记录了台风梅博克在初步修复前造成的破坏。这些高质量数据为寒冷地区研究、永久冻土研究及基础设施探测提供了相关数据支撑，同时也可作为本区域遥感影像目标分类的参考信息。