Advanced Search
  • Included in CSCD
  • Chinese Core Journals
  • Included in WJCI Report
  • Included in Scopus, CA, DOAJ, EBSCO, JST
  • The Key Magazine of China Technology
Volume 41 Issue 1
Feb.  2022
Turn off MathJax
Article Contents
Article Navigation >  CARSOLOGICA SINICA  > 2022  >  41(1): 153-164
ZHOU Wenlong,GAO Zhandong,LI Hui,et al.Research on karst cave mapping based on terrestrial laser scanning[J].Carsologica Sinica,2022,41(01):153-164. doi: 10.11932/karst20220109
Citation: ZHOU Wenlong,GAO Zhandong,LI Hui,et al.Research on karst cave mapping based on terrestrial laser scanning[J].Carsologica Sinica,2022,41(01):153-164. doi: 10.11932/karst20220109
shu

Research on karst cave mapping based on terrestrial laser scanning

doi: 10.11932/karst20220109
  • 1.

    Guizhou Institute of Mountain Resource， Guiyang， Guizhou 550001， China

  • 2.

    Guizhou Provincial Karst Cave Resources Development and Utilization of Engineering and Technology Research Center， Guiyang Guizhou 550001， China

  • 3.

    The Third Institute of Surveying and Mapping of Guizhou Province， Guiyang， Guizhou 550001， China

  • 4.

    School of Karst Science， Guizhou Normal University， Guiyang， Guizhou 550001， China

Funds:

 黔科合支撑[2017]2871号

 2016YFC0502606-011

 黔教合KY字[2017]025

  • Received Date: 2020-07-28
  • Publish Date: 2022-02-25
    Abstract
  • The precision of cave surveying and mapping has always been the focus of the industry. In recent years， the study and application of terrestrial laser scanning in the field of karst caves has been increasingly widespread. Compared with traditional methods， its millimeter-level error accuracy and diversified results expression have obvious advantages， which will have a revolutionary breakthrough in improving cave mapping accuracy， strengthening the measurement of cave spatial morpholog， constructing cave geospatial database， and guiding rational planning and development of cave . Although the information of cave 3D results is rich and diverse， accurate cave maps have always been the basis for understanding the development and evolution of caves， and they still play an irreplaceable role. Then， how to accurately draw cave maps and express cave elements through massive point clouds has become the primary problem to be solved. Therefore， this paper takes Qianlong cave in Guizhou province as an example， through the processing of the 3D laser point cloud， supplemented by third-party software to draw the plan view， profile view and cross-section view of Qianlong cave， and discusses the automatic extraction form slice image and cartographic expression of cave elements， forming the following understandings， （1） Terrestrial laser scanning observes the entire cave structure from the perspective of God， the extraction of the overall tunnel boundary will be more accurate， and the feature information of any location can be obtained. In terms of cave pattern construction and element expression， it not only the inherits the traditional ways， but also makes new breakthroughs. （2） The software and hardware requirements of karst cave mapping based on terrestrial laser scanning are more complicated than traditional methods. In addition to the expensive equipment for point cloud data collection， interactive mapping with multiple software platforms puts forward higher technical requirements for post-processing data. It is urgent to standardize a set of software platforms and standards for 3D cave mapping based on terrestrial laser scanning and unified delivery of results. （3） Not all karst caves require 3D laser scanning measurements，and karst cave measurement should be selected on the basis of actual needs.For general or initial exploration caves， considering the cost factors and taking into account the accuracy requirements， it is recommended to use method of paperless cave measurement. For Tourist caves or caves with high resource landscape value，it is recommended to use 3D laser scanning. There is a general trend that the equipment will be miniaturized and more suitable for cave surveying and mapping in the future. （4） The combined application of terrestrial laser scanning and UAV aerial photogrammetry technology in the field of karst cave surveying and mapping is the focus of the next breakthrough in cave surveying work. It can effectively realize the fusion of surface and underground 3D spatial information， which will greatly expand and enrich speleological research and its application value.

     

    • ZHOU Wenlong,GAO Zhandong,LI Hui,et al.Research on karst cave mapping based on terrestrial laser scanning[J].Carsologica Sinica,2022,41(01):153-164.
    FullText(HTML)
  • loading
    • References(24)
  • 张英骏，缪钟灵，毛健全.应用岩溶学及洞穴学［M］.贵阳：贵州人民出版社，1985.

    ZHANGYing jun， MIAOZhongling， MAOJianquan. Applied Karst and Speleology［M］.Guiyang： Guizhou People's Publishing Press， 1985.
    PalmerA N.Cave Geology［M］.Cave Books，Dayton，OH，2007.
    朱学稳.洞穴学研究的进展［J］.科技导报，1997：26-29.

    ZHUXuewen. Progress in the Research of Speleology［J］. Science and Technology Review， 1997：26-29.
    张耀光.中国喀斯特洞穴发育的区域分异［J］.地理研究，1986，5（4）：36-46.

    ZHANGYaoguang. The regional difference of karst cave development in China［J］.Geographical research，1986，5（4）：36-46.
    陈伟海.洞穴研究进展综述［J］.地质论评，2006，52（6）：783-792.

    CHENWeihai. An Outline of Speleology Research Progress［J］. Geological Review， 2006， 52（6）： 783-792.
    http：//www.cgs.gov.cn/xwl/kxjs/201603/t20160309_2993 09.html.（accessed April 22， 2020）
    周文龙，高占冬，吴克华， 黎有为， 李坡， 贺卫.河北阜平神仙洞探测研究及开发建议［J］.中国岩溶，2020，39（1）：110-118.

    ZHOUWenlong， GAOZhandong， WUKehua， LIYouwei， LIPo， HEWei. Exploration and Suggestions on Development of the Shenxian Cave in Fuping County， Hebei Province［J］. Carsologica Sinica，2020，39（1）：110-118.
    李铁英.岩溶洞穴的勘察测绘［J］.中国岩溶，1990，9（4）：363-365.

    LITieying. Survey and Mapping of Karst Caves［J］. Carsologica Sinica， 1990， 9（4）：363-365.
    刘福昌. 岩溶洞穴制图研究［J］. 贵州地质， 1990， 7（2）： 177-184，147.

    LIUFuchang. A Research on Cartographic Designing and Forming of Karst Cave Map Making［J］. Geology of Guizhou， 1990，7（2）：177-184，147.
    刘福昌.溶洞制图的图型设计和成图方法探讨［J］.中国岩溶，1994，13（1）：51-58.

    LIUFuchang. Study of Cartographic Representation and map compilation of Karst Cave［J］. Carsologica Sinica， 1994， 13（1）：51-58.
    HauselmannP. UIS mapping grades［J］. International Journal of Speleology， 2011， 40（2）： 4-6.
    De WaeleJ ， FabbriS ， SantagataT. Geomorphological and speleogenetical observations using terrestrial laser scanning and 3D photogrammetry in a gypsum cave （Emilia Romagna， N. Italy） ［J］. Geomorphology， 2018， 319： 47-61.
    GallayM， KaňukJ， HochmuthZ. Large-scale and high-resolution 3-D cave mapping by terrestrial laser scanning： a case study of the Domica Cave ［J］. Slovakia. International Journal of Speleology， 2015， 44 （3）： 277-291.
    DiegoG A ， AngelM N， JavierG L. 3D Digital Surveying and Modelling of Cave Geometry： Application to Paleolithic Rock Art ［J］. Sensors， 2009， 9： 1108-1127.
    Fabbri，Stefano，Sauro，Francesco，Santagata，Tommaso.High-resolution 3D mapping using terrestrial laser scanning as a tool for geomorphological and speleogenetical studies in caves：an example from the Lessini mountains（North Italy）［J］，Geomorphology，2016，doi：10.1016/j.geomorph.2016.12.001
    RodriguesJ I， FigueiredoM， SilvestreI. Geometrical and topological modelling of caves supported by a relational database model［J］. Int. J. Business Process Integration and Management， 2015， 7（4）： 289-299.
    MahmudKashif ， MariethozGregoire ， PaulineC. Terrestrial LiDAR Survey and Morphological Analysis to Identify Infiltration Properties in the Tamala Limestone， Western Australia ［J］. Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing， 2015： 1-11. （Digital Object Identifier 10.1109/JSTARS.2015.2451088）.
    梁雪敏.大型储油洞穴容量计量技术研究［D］.杭州：中国计量学院，2014.

    LIANGXuemin. A Study on the capacity measurement techniques for the Large oil storage caves［D］. Hangzhou：China Jiliang University，2014.
    Suzanna Noor Azmy， Shahrul Anuar Mohd Sah， Nur Juliani Shafie. Counting in the dark： Non-intrusive laser scanning for population counting and identifying roosting bats［J］. SCIENTIFIC REPORTS，2012：1-4. doi：10.1038/srep00524
    McFarlaneDonald A1， Warren Roberts， Manfred Buchroithner. Terrestrial LiDAR-based automated counting of swiftlet nests in the caves of Gomantong， Sabah， Borneo［J］. International Journal of Speleology，2015， 44 （2）： 191-195.
    GallayM， KaňukJ， HochmuthZ. Large-scale and high-resolution 3D cave mapping by terrestrial laser scanning： a case study of the Domica Cave ［J］. Slovakia. International Journal of Speleology， 2015， 44 （3）： 277-291.
    周文龙，李威，高占冬，范文超，张双德.基于3种测量技术的贵州潜龙洞探测数据对比研究［J］.绿色科技，2017（16）： 180-184.

    ZHOUWenlong， LIWei， GAOZhandong，FANWenchao， ZHANGShuangde. Comparative Study on the Surveying data of Qianlong Cave in Guizhou Based on Three Kinds of Measurement Technology［J］. Journal of Green Science and Technology， 2017（16）： 180-184.
    李红梅，张春亢，张霞， 罗竹.基于AutoCAD二次开发的点云地物属性批量转换［J］.城市勘测，2020（1）：138-142.

    LIHongmei， ZHANGChunkang， ZHANGXia， LUOZhu. Batch Conversion of Point Clouds Figure Attributes Based on Secondary Development of AutoCAD［J］. Urban Geotechnical Investigation & Surveying， 2020（1）：138-142.
    吴晓章，谢宏全，谷风云，刘春秀，徐迎晨，张念坤.利用激光点云数据进行大比例尺地形图测绘的方法［J］.测绘通报，2015（8）：90-92.

    WUXiaozhang， XIEHongquan， GUFengyun， LIUChunxiu，XUYingchen， ZHANGNiankun. Method of Large-scale Topographic Mapping Based on Laser Point Cloud Data［J］. Surveying and Mapping Bulletin， 2015（8）：90-92.
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF(2736.0KB)
    XML

    Article Metrics

    Article views (1569) PDF downloads(55) Cited by()
    Proportional views
    Related

    Website Copyright © CARSOLOGICA SINICA 桂ICP备05009877号-1

    Sponsor: Chinese Academy of Geological Sciences Sponsored by: Institute of Karst Geology, Chinese Academy of Geological Sciences Address: No.50, Qixing Road, Guilin, Guangxi

    Post Code: 541004 Tel: 0773-5812949 7796657 Email: zgyr@mail.cgs.gov.cn; zgyrbjb@163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return