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首页> 外文期刊>Geomorphology >Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA
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Mapping and measuring aeolian sand dunes with photogrammetry and LiDAR from unmanned aerial vehicles (UAV) and multispectral satellite imagery on the Paria Plateau, AZ, USA

机译:利用摄影测量法和LiDAR对来自美国亚利桑那州帕里亚高原的无人机(UAV)进行摄影和LiDAR测绘和测量风沙丘

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摘要

The Paria Plateau is a potentially important but relatively unstudied aeolian sand source area in the Grand Canyon region of Arizona, USA. This study used unmanned aerial vehicle (UAV) - based LiDAR and structure-from-motion (SfM) photogrammetry to produce high-resolution topographic models of aeolian dunes on the plateau. We combined the dune topography data with a high-resolution satellite image maximum likelihood classification (producer's accuracy = 872%) to quantify potential aeolian sand source areas across the 958 km(2) plateau. We mapped all the unvegetated active aeolian dunes on the plateau and estimate they contain 24 Tg of sand, and could, therefore, be a proportionately important regional sand source considering the annual sand loads of the downwind Paria River at its confluence with the Colorado River are generally 1 Tg. The results and data from this study could be useful for future investigations that wish to explicitly link aeolian sand on the Paria Plateau to downwind sediment dynamics in the region. The methodology for UAV and satellite remote sensing that we demonstrate could be applied to quantify sand at large geographic extents in other aeolian environments around the world. Published by Elsevier B.V.
机译:帕里亚高原是美国亚利桑那州大峡谷地区一个潜在的重要但相对未被研究的风沙源区。这项研究使用了基于无人机(UAV)的LiDAR和运动结构(SfM)摄影测量法,以生成高原上风沙丘的高分辨率地形图模型。我们将沙丘地形数据与高分辨率卫星图像最大似然分类(生产商的准确度= 872%)结合起来,以量化958 km(2)高原上潜在的风沙源区。我们在高原上绘制了所有无植被活动风沙丘的地图,并估计它们包含24 Tg的沙,因此考虑到顺风Paria河与科罗拉多河汇合处的年沙负荷为20%,这可能是一个重要的区域性沙源。通常<1 Tg。这项研究的结果和数据可能对将来的研究有用,这些研究希望将帕里亚高原上的风沙与该地区的顺风沉积物动力学明确联系起来。我们展示的无人机和卫星遥感方法论可用于在世界范围内的其他风沙环境中在较大的地理范围内对沙子进行量化。由Elsevier B.V.发布

著录项

  • 来源
    《Geomorphology》 |2018年第15期|174-185|共12页
  • 作者单位

    No Arizona Univ, Sch Informat Comp & Cyber Syst, 1298 S Knoles Dr, Flagstaff, AZ 86011 USA;

    US Geol Survey, Grand Canyon Monitoring & Res Ctr, Southwest Biol Sci Ctr, 2255 N Gemini Dr, Flagstaff, AZ 86001 USA;

    No Arizona Univ, Sch Informat Comp & Cyber Syst, 1298 S Knoles Dr, Flagstaff, AZ 86011 USA;

    US Geol Survey, Southwest Biol Sci Ctr, 2255 N Gemini Dr, Flagstaff, AZ 86001 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    UAS; Drone; LiDAR; SfM;

    机译:那;无人机;激光雷达;SfM;

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