Transect-based ice thickness, snow depth, and surface elevation data collected on the Yukon and Tanana rivers in Alaska during the late winter 2024
收藏DataONE2024-09-24 更新2025-04-26 收录
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https://search.dataone.org/view/doi:10.18739/A2P55DJ61
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资源简介:
As part of the Fresh Eyes on Ice project (https://fresheyesonice.org/), we traveled between the communities of Galena and Fairbanks Alaska during March of 2024 collected field data at 24 river locations and one lake location to document late winter ice and snow conditions. The majority of locations were selected based on satellite-observed ice conditions during freeze-up (October - December 2023) to represent transitions in ice formation timing and process. All data was collected along linear transects ranging from approximately 100 to greater than 1000-meter (m) length typically arrayed across freeze-up transitions zones using a combination of ice drilling at three to five points along each transect, high-frequency ice penetrating radar (500 millihertz (mHz) antennae), evenly spaced snow depth measurements using a magna probe, and unpersonned aerial vehicle (UAS) structure-for-motion photographs to construct relative surface elevation models. Ice thickness, snow depth, and relative surface elevation data were summarized to 10-m intervals along these transects. Specifically, these data are intended to aid understanding of how river freeze-up conditions are expressed in late winter at a resolution comparable to many field studies and remotely sensed data acquisition types. Several locations were selected with input from the communities of Galena, Tanana, and Rampart.
作为‘Fresh Eyes on Ice’项目(https://fresheyesonice.org/)的组成部分,我们于2024年3月在阿拉斯加州加莱纳(Galena)与费尔班克斯(Fairbanks)的社区间开展野外数据采集工作,于24处河流点位与1处湖泊点位收集数据,以记录晚冬的冰、雪状况。绝大多数点位依据2023年10月至12月封冻期的卫星观测冰情选取,用于表征冰形成的时间与过程变化。所有数据均沿线性样带采集,样带长度约100米至1000米以上,通常布设覆盖封冻过渡带;采集手段组合包括:沿每条样带的3至5个点位开展冰厚钻探、使用高频冰穿透雷达(ice penetrating radar,500毫赫兹(mHz)天线)、采用玛格纳探针(magna probe)进行等间距雪深测量,以及借助非载人航空飞行器(UAS)的运动恢复结构摄影来构建相对地表高程模型。沿这些样带,冰厚、雪深与相对地表高程数据均以10米为间隔完成汇总。具体而言,本数据集旨在助力理解河流封冻状况如何在晚冬时段体现,其分辨率可与多数野外研究及遥感数据采集类型相媲美。部分点位的选取参考了加莱纳、塔纳诺(Tanana)与兰帕特(Rampart)三地社区的意见。
创建时间:
2024-09-24



