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    激光雷达测量技术在地学中的若干应用

    马洪超

    马洪超, 2011. 激光雷达测量技术在地学中的若干应用. 地球科学, 36(2): 347-354. doi: 10.3799/dqkx.2011.037
    引用本文: 马洪超, 2011. 激光雷达测量技术在地学中的若干应用. 地球科学, 36(2): 347-354. doi: 10.3799/dqkx.2011.037
    MA Hong-chao, 2011. Review on Applications of LiDAR Mapping Technology to Geosciences. Earth Science, 36(2): 347-354. doi: 10.3799/dqkx.2011.037
    Citation: MA Hong-chao, 2011. Review on Applications of LiDAR Mapping Technology to Geosciences. Earth Science, 36(2): 347-354. doi: 10.3799/dqkx.2011.037

    激光雷达测量技术在地学中的若干应用

    doi: 10.3799/dqkx.2011.037
    基金项目: 

    国家"863"重点项目"灾害遥感应急监测与灾情信息快速提取技术" 2009AA12Z101-2-3

    详细信息
      作者简介:

      马洪超(1969-),男,教授,主要研究方向是激光雷达数据处理与应用.E-mail: hchma@whu.edu.cn

    • 中图分类号: P225

    Review on Applications of LiDAR Mapping Technology to Geosciences

    • 摘要: 对激光雷达测量技术在全球冰川监测、局部断裂带提取、滑坡监测和稳定性评价以及海岸线提取和海岸侵蚀等方面的应用做了较为全面的综述.作为一种新型的对地观测手段,激光雷达(含星载、机载、车载和地面)的应用已经从传统的测绘扩大到包括文物保护在内的诸多其他应用领域.所综述的激光雷达技术在地学研究中的4个应用方面,是传统地学研究中与全球变化和人居环境最为密切的方向.分析表明,激光雷达技术在这些研究方向中的应用大有作为.

       

    • 图  1  机载激光雷达数据获取示意

      Fig.  1.  A scheme showing how airborne LiDAR system works

      图  2  都-汶公路映秀镇附近数字表面模型(DSM)

      数据由Leica ALS50II机载激光雷达在2008年5月31日获取,点密度为0.8点/km2.图中为原始点云数据高程配色的结果,可以判读出多个滑坡(图中箭头所示)

      Fig.  2.  Digital surface model (DSM) along Du-Wen highway in the vicinity of Yingxiu Town

      表  1  几种类型激光雷达系统的简单比较

      Table  1.   Brief comparison among different types of LiDAR system

      类型 平台 相对飞行高度 点云密度 精度 主要用途 主要型号
      机载激光雷达 飞机(固定翼或直升机) 30~6 000 m 和多种因素有关.最大可以达到100点/m2以上 和多种因素有关.高程精度可以达到10 cm以下,平面精度可以达到10 cm左右 获取高精度数字表面模型和数字高程模型,可以应用于测绘、水利、林业、电力、城市规划等等多个领域 Leica ALS系列,Optech ALTM系列,TopoSys Harrier系列和Falcon系列,RIEGL LitterMapper系列等
      车载激光雷达 汽车 每m2几百个点以上 平面和水平精度略高于机载激光雷达系统 主要是对地物的侧面进行激光扫描 英国StreetMapper系统,Optech lynx系统等
      地面激光雷达 地面固定站点 每平方米可以达上千个点 平面和水平精度可以达到毫米,甚至亚毫米级 用于物体精细三维建模.广泛应用于工业测量、文物考古、建筑物建模等领域 主要由Leica、Optech、RIEGL等公司供应
      星载激光雷达 卫星 400~600 km 光斑直径60~70 m,点间距170 m 垂直精度15 cm 全球植被、极地冰川、大气等研究领域 主要是美国NASA发射ICESat卫星上的GLAS激光雷达
      下载: 导出CSV
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    • 收稿日期:  2010-12-20
    • 网络出版日期:  2021-11-10
    • 刊出日期:  2011-03-01

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