基于无人机LiDAR技术的古冰川地貌定量分析——以稻城古冰帽南缘库照日冰碛垄为例
DOI:
作者:
作者单位:

南京师范大学 地理科学学院

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目)41971009


Quantitative analysis of ancient glacial geomorphology based on UAV LiDAR technology - A case study of Kuzhaori Moraines at the Southern edge of paleo-Daocheng Ice Cap
Author:
Affiliation:

School of Geography, Nanjing Normal University

Fund Project:

单位:
  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    古冰川地貌是研究第四纪环境演变的重要依据,无人机LiDAR技术的高精度数据使得古冰川地貌研究具有更高的分辨率,可显著提升古冰川地貌分析、冰川地貌制图的精度。青藏高原东南部的稻城古冰帽保存了大量古冰川遗迹,是研究冰川地貌的理想区域。本研究应用无人机LiDAR技术,对稻城古冰帽南缘的库照日地区槽谷出口的冰碛垄进行航测,获得库照日冰碛垄的数字高程模型(DEM)、数字正射影像(DOM)和三维点云数据,并进一步对比12.5m、30m分辨率的DEM成像效果,分析库照日冰碛垄的地形特征、库照日槽谷出口冰碛垄围成谷地的形态参数等。结果表明:(1)无人机LiDAR技术能快速获得高质量、高分辨率的数据,适用于小区域、地貌较复杂的地区,结合三维模型可提高对冰碛垄地貌形态的认识;(2)对库照日冰碛垄的地形特征统计可知,最内侧的K-M1垄拥有第二高的坡度平均值,K-M6垄作为独立垄拥有最大的坡度平均值;(3)库照日槽谷出口冰碛垄围成谷地的幂函数指数b值范围为0.24至0.54,小于多数槽谷的b值;V指数结果范围为0.52~0.69。本研究为基于无人机LiDAR技术的冰川地貌定量分析提供了较好的研究案例。

    Abstract:

    Paleo-glacial landforms serves as an important carrier for understanding Quaternary environmental evolution. The high-precision data from unmanned aerial vehicle (UAV) LiDAR technology allows for the study of paleo-glacial landforms with higher resolution, which can significantly improve the precision of paleo-glacial landforms analysis and glacial landforms mapping. Located on the southeastern edge of the Qinghai-Tibet Plateau, the paleo-Daocheng ice cap preserves rich ancient glacial remains, making it an ideal area for studying glacial geomorphology. In this study, UAV LiDAR technology were applied to conduct aerial surveys of the moraines at the outlet of a glacial valley in Kuzhaori area, located at the the southern edge of the paleo-Daocheng ice cap. The survey yielded Digital Elevation Model (DEM), Digital Orthophoto Map (DOM) and 3D point cloud data of the Kuzhaori moraines. Furthermore, the DEM imaging effects with resolutions of 12.5m and 30m were compared, and the morphological features of the Kuzhaori moraines, as well as the morphological parameters of the valley enclosed by the moraines at the glacial valley outlet, were analyzed. The results indicate that: (1) UAV LiDAR technology can rapidly acquire high-quality, high-resolution data suitable for small areas and complex terrain. Combined with the three-dimensional model can improve the understanding of moraines, glacial troughs and valleys geomorphological morphology; (2) Statistical analysis of topographic features of moraines at Kuzhaori reveal that innermost K-Moraine1 has the second highest average slope, while the K-Moraine6, as an independent moraines, has the highest average slope; (3) The power function exponent b values of the valley enclosed by the moraines at the Kuzhaori glacial valley outlet range from 0.24 to 0.54, which is lower than those observed in most glacial valleys; V-index results range from 0.52 to 0.69. This study provides a good research case for quantitative analysis of glacial geomorphology based on UAV LiDAR technology.

    参考文献
    相似文献
    引证文献
引用本文
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-09-08
  • 最后修改日期:2024-11-10
  • 录用日期:2024-11-12
  • 在线发布日期:
  • 出版日期: