无人机水文测量:无接触式河流水位,水度和流速 - - 尼河数据集
Zhen Zhou1, Laura Riis-Klinkvort2, Emilie Ahrnkiel Jørgensen2
1DTU Sustain, Technical University of Denmark, Kgs, Lyngby, Denmark. zhezh@dtu.dk.
Scientific data
|February 19, 2025
概括
无人机系统 (UAS) 提供无接触式河流监测,用于水面的海拔,水度和速度. 本研究引入了一个全面的,公开可用的数据集,用于高分辨率的水度分析.
科学领域:
- 环境科学 环境科学
- 水文学 水文学
- 遥感 遥感 遥感 遥感
背景情况:
- 气候变化加剧了洪水和干旱,增加了对先进河流监测的需求.
- 获取水度数据的传统方法往往具有侵入性或缺乏高空间分辨率.
- 无人机系统 (UAS) 为高分辨率的水度数据收集提供了一个非侵入性的解决方案.
研究的目的:
- 提供一个大型的,公开可用的无人机系统 (UAS) 水力测量数据集.
- 为了证明无人机系统对关键河流变量进行无接触,高分辨率的监测的能力.
- 为了验证UAS衍生的水度数据的准确性和一致性.
主要方法:
- 使用配备雷达高度测量,水透雷达,声纳和多普勒雷达的无人机获取数据.
- 从8月28日到2023年9月1日,在瑞典的Rönne Å进行10公里的测量.
- 数据处理分为三个层次:原始数据 (一级),加工点数据 (二级) 和参考点数据 (三级).
主要成果:
- 创建了一个全面的UAS水度数据集,涵盖水面高度,浴度和表面速度.
- 数据集包括现场地面真相和遗留数据,以进行可靠的验证.
- 在UAS衍生数据和地面真相之间观察到很高的一致性,这表明数据集质量令人满意.
结论:
- 无人机系统技术为高分辨率,无接触式河流监测提供了可行和准确的方法.
- 这一数据集支持在河流洪水和干旱管理方面的进一步研究和应用.
- 这些发现凸显了无人机系统在应对气候变化影响方面推进水度数据采集的潜力.
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