Volume 45 Issue 11
Nov.  2020
Turn off MathJax
Article Contents
Abstract
References
Related Articles
WANG Xuan, FAN Xuanmei, YANG Fan, DONG Xiujun. Remote Sensing Interpretation Method of Geological Hazards in Lush Mountainous Area[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1771-1781. DOI: 10.13203/j.whugis20200044
Citation: WANG Xuan, FAN Xuanmei, YANG Fan, DONG Xiujun. Remote Sensing Interpretation Method of Geological Hazards in Lush Mountainous Area[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1771-1781. DOI: 10.13203/j.whugis20200044
shu

Remote Sensing Interpretation Method of Geological Hazards in Lush Mountainous Area

  • 1.

    State Key Laboratory of Geohazards Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China

Funds: 

The Science Fund for Creative Research Groups of the National Natural Science Foundation of China 41521002

Land and Resources Research Program of Sichuan Province KJ-2018-22

More Information
  • Author Bio:

    WANG Xuan, postgraduate, specializes in geological hazards susceptibility and risk assessment. E-mail: 592228598@qq.com

  • Corresponding author:

    FAN Xuanmei, PhD, researcher. E-mail: fxm_cdut@qq.com

  • Received Date: February 13, 2020
  • Published Date: November 18, 2020
    Graphical Abstract
    • Abstract
  •   Objectives  Traditional methods for remote sensing interpretation are difficult to identify historical geohazards covered by dense vegetation. For the purpose of interpreting the pre-seismic geohazards in the area of Panda Sea, Jiuzhaigou, and analyze the characteristics and distribution law, we propose a new methodology for geomorphologic identification masks and remote sensing interpretation regarding collapse, landslide and debris flow.
      Methods  Based on high-resolution LiDAR(light detection and ranging) data and data processing method of RRIM(red relief image map). RRIM is formed by the superposition of positive openness, negative openness and slope. RRIM method can supplement the shortcomings of the existing terrain visualization techniques, and apply the influence of environmental light to the terrain display, so that the visual interpretation can clearly identify the differences of landforms, and is more conducive to the identification and accurate interpretation of geohazards in mountainous areas.
      Results  Aiming at the Panda Sea area, which is the most seriously affected by Jiuzhaigou earthquake, the RRIM method is used to interpret the pre-seismic geohazards. A total of 311 pre-earthquake pre-seismic geohazards are interpreted and classified according to their characteristics, then are analyzed for spatial distribution.
      Conclusions  The verified results show that the high-resolution LiDAR data combined with RRIM is of great significance to improve the interpretation of geohazards of mountainous area with dense vegetation coverage, and provide data support for the geohazards prevention and risk assessment of the earthquake area in Jiuzhaigou.
    • FullText(HTML)
    • References (33)
  • [1]
    肖雁峰.机载激光雷达技术(LiDAR)在航测中的应用实践[J].铁道勘测与设计, 2010(4):19-21 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tdkcysj201004006

    Xiao Yanfeng. Application of LiDAR Technology in Aerial Survey[J]. Railway Survey and Design, 2010(4): 19-21 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=tdkcysj201004006
    [2]
    王云南, 任光明, 王家柱, 等.滑坡遥感解译研究综述[J].西北水电, 2017(1):17-21 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=xbsd201701005

    Wang Yunnan, Ren Guangming, Wang Jiazhu, et al. Overview of Explanation and Interpretation on Landslide in Remote Sensing Image[J]. Northwest Hydropower, 2017(1):17-21 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=xbsd201701005
    [3]
    李政, 李永树, 郭加伟, 等.词袋特征支持下的无人机影像滑坡解译模型[J].遥感信息, 2016, 31(5):24-29 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygxx201605004

    Li Zheng, Li Yongshu, Guo Jiawei, et al. An Automatic Landslide Interpretation Model of UAV Imagery Based on Bow [J]. Remote Sensing Information, 2016, 31(5):24-29 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygxx201605004
    [4]
    马晓雪, 吴中海, 李家存. LiDAR技术在地质环境中的主要应用与展望[J].地质力学学报, 2016, 22(1):93-103 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzlxxb201601010

    Ma Xiaoxue, Wu Zhonghai, Li Jiacun. LiDAR Technology and Its Application and Prospect in Geological Environment[J]. Journal of Geomechanics, 2016, 22(1):93-103 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzlxxb201601010
    [5]
    侯峰. LiDAR详细介绍及其应用举例综述[J].科技广场, 2014(4):95-100 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kjgc201404020

    Hou Feng. Thorough Introduction of LiDAR and Overview of Its Application[J]. Science Mosaic, 2014(4):95-100 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=kjgc201404020
    [6]
    张玉方, 程新文, 欧阳平, 等.机载LiDAR数据处理及其应用综述[J].工程地球物理学报, 2008, 5(1):119-124 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gcdqwlxb200801024

    Zhang Yufang, Cheng Xinwen, Ou Yangping, et al. The Data Processing Technology and Application of Airborne LiDAR[J]. Chinese Journal of Engineering Geophysics, 2008, 5(1):119-124 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gcdqwlxb200801024
    [7]
    Chigira M, Duan F, Yagi H, et al. Using an Airborne Laser Scanner for the Identification of Shallow Landslides and Susceptibility Assessment in an Area of Ignimbrite Overlain by Permeable Pyroclastics[J]. Landslides, 2004, 1(3):203-209 doi: 10.1007/s10346-004-0029-x
    [8]
    Haneberg W C, Creighton A L, Medley E W, et al. Use of LiDAR to Assess Slope Hazards at the Lihir Gold Mine, Papua New Guinea[R].International Conference on Landslide Risk Management, Vancouver, British Columbia, Canada, 2005
    [9]
    Glenn N F, Streutker D R, Chadwick D J, et al. Analysis of LiDAR-Derived Topographic Information for Characterizing and Differentiating Landslide Morphology and Activity[J].Geomorphology, 2006, 73(1/2):131-148 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=e0eda4a475cf66eeb0ba983e98c00096
    [10]
    Schulz W H. Landslide Susceptibility Revealed by LiDAR Imagery and Historical Records, Seattle, Washington[J].Engineering Geology, 2007, 89(1/2): 67-87 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=6514660cea938fe013fb2b40deffa76d
    [11]
    Lin C W, Tseng C M, Tseng Y H, et al.Recognition of Large Scale Deep-Seated Landslides in Forest Areas of Taiwan Using High Resolution Topography[J].Journal of Asian Earth Sciences, 2013, 62:389-400 doi: 10.1016/j.jseaes.2012.10.022
    [12]
    沈永林, 李晓静, 吴立新.基于航空影像和LiDAR数据的海地地震滑坡识别研究[J].地理与地理信息科学, 2011(1):20-24 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlxygtyj201101004

    Shen Yonglin, Li Xiaojing, Wu Lixin. Detection of Haiti Earthquake Induced Landslides from Aerial Images and LiDAR Data[J]. Geography and Geo-Information Science, 2011(1):20-24 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlxygtyj201101004
    [13]
    陈刚, 陈伟涛, 李显巨.基于机载LiDAR技术的滑坡识别参数提取方法[J].地理空间信息, 2013(6):16-17 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlkjxx201306002

    Chen Gang, Chen Weitao, Li Xianju. Extraction Method of Landslide Identification Parameters Based on Airborne LiDAR Technology[J]. Geospatial Information, 2013(6):16-17 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dlkjxx201306002
    [14]
    聂晶.基于LiDAR点云数据的滑坡灾害研究: 以泰宁山体滑坡为例[D].南昌: 东华理工大学, 2017

    Nie Jing. Research on Landslide Disaster Based on LiDAR Point Cloud Data: Taking the Case of Taining Landslide Disaster[D].Nanchang: Donghua University of Technology, 2017
    [15]
    赖自力, 陈建平, 向杰, 等.分形理论和LiDAR数据的滑坡识别[J].测绘科学, 2018, 43(6):112-117 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chkx201806019

    Lai Zili, Chen Jianping, Xiang Jie, et al. Landslide Extraction Based on Fractal and LiDAR Data[J]. Science of Surveying and Mapping, 2018, 43(6):112-117 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=chkx201806019
    [16]
    Fan X, Scaringi G, Xu Q, et al. Coseismic Landslides Triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou Earthquake (Sichuan, China): Factors Controlling Their Spatial Distribution and Implications for the Seismogenic Blind Fault Identification[J]. Landslides, 2018, 15(5): 967-983 doi: 10.1007/s10346-018-0960-x
    [17]
    戴岚欣, 许强, 范宣梅, 等. 2017年8月8日四川九寨沟地震诱发地质灾害空间分布规律及易发性评价初步研究[J].工程地质学报, 2017, 25(4): 1 151-1 164 http://www.cnki.com.cn/Article/CJFDTotal-GCDZ201704030.htm

    Dai Lanxin, Xu Qiang, Fan Xuanmei, et al. A Preliminary Study on Spatial Distribution Patterns of Landslides Triggered By Jiuzhaigou Earthquake in Sichuan on August 8th, 2017 and Their Susceptibility Assessment[J]. Journal of Engineering Geology, 2017, 25(4):1 151-1 164 http://www.cnki.com.cn/Article/CJFDTotal-GCDZ201704030.htm
    [18]
    徐茂其, 张大泉, 周晓骆, 等.九寨沟流域突发性重力侵蚀初步研究[J].水土保持学报, 1991, 5(2):1-7 http://www.cnki.com.cn/Article/CJFD1991-TRQS199102000.htm

    Xu Maoqi, Zhang Daquan, Zhou Xiaoluo, et al. The Preliminary Study on the Explosive Soil Erosion in the Jiuzhaigou Catchment of Sichuan, China[J]. Journal of Soil and Water Conservation, 1991, 5(2):1-7 http://www.cnki.com.cn/Article/CJFD1991-TRQS199102000.htm
    [19]
    丁照宇.利用遥感图像揭示九寨沟旅游区的不良地质现象[J].遥感信息, 1989(3):24-26 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK000004850921

    Ding Zhaoyu. Using Remote Sensing Images to Reveal the Adverse Geological Phenomena in Jiuzhaigou Tourist Area[J]. Remote Sensing Information, 1989(3):24-26 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QK000004850921
    [20]
    王景荣, 田昭一, 曾思伟.九寨沟崩塌和泥石流的历史、现实和未来[J].水土保持通报, 1985(1):75-77 http://www.cnki.com.cn/Article/CJFDTotal-STTB198501020.htm

    Wang Jingrong, Tian Zhaoyi, Zeng Siwei, et al. History, Reality and Future of Jiuzhaigou Collapse and Debris Flow[J]. Journal of Soil and Water Conservation, 1985 (1): 75-77 http://www.cnki.com.cn/Article/CJFDTotal-STTB198501020.htm
    [21]
    中国科学院青藏高原综合考察队.九寨沟泥石流的考察纪要[J].水土保持通报, 1985(1):75-77 http://www.cnki.com.cn/Article/CJFDTotal-STTB198501021.htm

    Comprehensive Investigation Team of Qinghai Tibet Plateau of Chinese Academy of Sciences. Investigation Summary of Debris Flow in Jiuzhaigou[J]. Journal of Soil and Water Conservation, 1985(1): 75-77 http://www.cnki.com.cn/Article/CJFDTotal-STTB198501021.htm
    [22]
    柳素清, 唐邦兴, 崔鹏, 等.九寨沟泥石流治理及其效益[M].成都:四川科学技术出版社, 1998

    Liu Suqing, Tang Bangxing, Cui Peng, et al. Debris Flow Control and Its Benefits in Jiuzhaigou[M]. Chengdu: Sichuan Science and Technology Press, 1998
    [23]
    蓝振江, 蔡红霞, 曾涛, 等.九寨沟主要植物群落生物量的空间分布[J].应用与环境生物学报, 2004, 10(3):299-306 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yyyhjswxb200403009

    Lan Zhenjiang, Cai Hongxia, Zeng Tao, et al. Biomass Distribution of the Major Plant Communities in Jiuzhaigou Valley, Sichuan[J]. Chinese Journal of Applied and Environmental Biology, 2004, 10(3):299-306 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=yyyhjswxb200403009
    [24]
    Chiba T, Kaneta S, Suzuki Y. Red Relief Image Map: New Visualization Method for Three Dimensional Data[J]. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2008, 37(B2): 1 071-1 076 http://www.researchgate.net/publication/237517308_Red_relief_image_map_New_visualization_method_for_three_dimensional_data
    [25]
    Yokoyama R, Shirasawa M, Pike R J. Visualizing Topography by Openness: A New Application of Image Processing to Digital Elevation Models[J]. Photogrammetric Engineering and Remote Sensing, 2002, 68(3): 257-266 http://dialnet.unirioja.es/servlet/articulo?codigo=673843
    [26]
    张玲, 杨晓平, 魏占玉, 等.三维数据的二维可视化方法综述[J].地震地质, 2014, 36(1):275-284 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzdz201401023

    Zhang Ling, Yang Xiaoping, Wei Zhanyu, et al. Overview of Visualization Methods of Three Dimensional Topographic Data[J].Seismology and Geology, 2014, 36(1):275-284 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dzdz201401023
    [27]
    Görüm T. Landslide Recognition and Mapping in a Mixed Forest Environment from Airborne LiDAR Data[J]. Engineering Geology, 2019, 258: 105155 doi: 10.1016/j.enggeo.2019.105155
    [28]
    许冲, 戴福初, 陈剑, 等.汶川Ms 8.0地震重灾区次生地质灾害遥感精细解译[J].遥感学报, 2009, 13(4):745-762 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygxb200904016

    Xu Chong, Dai Fuchu, Chen Jian, et al. Identification and Analysis of Secondary Geological Hazards Triggered by a Magnitude 8.0 Wenchuan Earthquake[J]. Journal of Remote Sensing, 2009, 13(4):745-762 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ygxb200904016
    [29]
    刘广润, 晏鄂川, 练操.论滑坡分类[J].工程地质学报, 2002, 10(4):339-342 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gcdzxb200204001

    Liu Guangrun, Yan Echuan, Lian Cao. Discussion on Classification of Landslides[J]. Journal of Engineering Geology, 2002, 10(4):339-342 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gcdzxb200204001
    [30]
    李为乐, 许强, 陆会燕, 等.大型岩质滑坡形变历史回溯及其启示[J].武汉大学学报∙信息科学版, 2019, 44(7):1 043-1 053 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=whchkjdxxb201907011

    Li Weile, Xu Qiang, Lu Huiyan, et al. Tracking the Deformation History of Large-Scale Rocky Landslides and Its Enlightenment[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7):1 043-1 053 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=whchkjdxxb201907011
    [31]
    杨桄, 刘湘南.遥感影像解译的研究现状和发展趋势[J].国土资源遥感, 2011, 16(2):7-10 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gtzyyg200402002

    Yang Quan, Liu Xiangnan. The Present Research Condition and Development Trend of Remotely Sensed Imagery Interpretation[J]. Remote Sensing of Land and Resources, 2011, 16(2):7-10 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=gtzyyg200402002
    [32]
    Cruden D M, Varnes D J. Landslides: Investigation and Mitigation[R].U.S.National Academy of Sciences, Washington D C, USA, 1996
    [33]
    黄润秋, 李为乐. "5∙12"汶川大地震触发地质灾害的发育分布规律研究[J].岩石力学与工程学报, 2008, 27(12):2 585-2 592 http://www.oalib.com/paper/1485382

    Huang Runqiu, Li Weile. Research on Development and Distribution Rules of Geohazards Induced by Wenchuan Earthquake on 12th May, 2008 [J]. Journal of Rock Mechanics and Engineering, 2008, 27(12):2 585-2 592 http://www.oalib.com/paper/1485382
    • Related Articles

  • Related Articles

    [1]LIU Xiaosha, DONG Xiujun, QIAN Jiren, GUO Chen, ZHAO Juncheng, ZHAN Jiaqi. Airborne LiDAR-based Debris Flow Material Sources Remote Sensing Recognition in Lush Mountainous Area[J]. Geomatics and Information Science of Wuhan University, 2024, 49(3): 400-410. DOI: 10.13203/j.whugis20210486
    [2]CHEN Bangsong, SIMA Jingsong, ZHAO Guangzu, DONG Xiujun, LEI Wenquan, CHEN Tingxuan, HE Qiulin. Optimal Point Density of Airborne LiDAR Data Collection for Hazards in Mountainous Areas[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20240097
    [3]DONG Xiujun, DENG Bo, YUAN Feiyun, FU Xia, ZHANG Wenju, JU Yuanzhen, REN Xiaohu. Application of Aerial Remote Sensing in Geological Hazards: Current Situation and Prospects[J]. Geomatics and Information Science of Wuhan University, 2023, 48(12): 1897-1913. DOI: 10.13203/j.whugis20220151
    [4]GUO Chen, XU Qiang, DONG Xiujun, LIU Xiaosha, SHE Jinxing. Geohazard Recognition by Airborne LiDAR Technology in Complex Mountain Areas[J]. Geomatics and Information Science of Wuhan University, 2021, 46(10): 1538-1547. DOI: 10.13203/j.whugis20210121
    [5]DONG Xiujun, XU Qiang, SHE Jinxing, LI Weile, LIU Fei, ZHOU Xingxia. Preliminary Study on Interpretation of Geological Hazards in Jiuzhaigou Based on Multi-source Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(3): 432-441. DOI: 10.13203/j.whugis20190076
    [6]GAO　Guang, MA　Hongchao, ZHANG　Liang. Automatic　Extraction　of 　Building　Roofs　from　LiDAR Data　Using　a　Hybridized　Method[J]. Geomatics and Information Science of Wuhan University, 2014, 39(10): 1225-1230.
    [7]WU Jun, LIU Rong, GUO Ning, LIU Lijuan. Aerial LiDAR Data Classification Using Weighted Support Vector Machines[J]. Geomatics and Information Science of Wuhan University, 2013, 38(1): 1-5.
    [8]WANG Zongyue, MA Hongchao, PENG Jiangui, GAO Guang. A Smooth Contour Generation Method Based on LiDAR Data[J]. Geomatics and Information Science of Wuhan University, 2010, 35(11): 1318-1321.
    [9]HUANG Xianfeng, Gunho Sohn, WANG Xiao, ZHANG Fan. Roof Detection Using LiDAR Data Based on Points' Normal with Weight[J]. Geomatics and Information Science of Wuhan University, 2009, 34(1): 24-27.
    [10]JIANG Jingjue, ZHANG Zuxun, MING Ying. Filtering of Lidar Point Clouds for Complex Cityscapes[J]. Geomatics and Information Science of Wuhan University, 2007, 32(5): 402-405.

  • Cited by

    Periodical cited type(31)

    1. 曹虎. 高植被覆盖下铁路隧道口危岩落石风险评估. 铁道标准设计. 2024(05): 122-129 .
    2. 王文涛. 倾斜航空摄影技术在茂密植被山区地质灾害调查中的应用. 中国地质调查. 2024(02): 116-122 .
    3. 王德富，李永鑫，任娟，范亚军，刘立，罗超. 联合无人机光学与机载LiDAR在高位滑坡要素识别中的应用：以川西汶川龙溪沟滑坡为例. 现代地质. 2024(02): 464-476 .
    4. 高志良，解明礼，巨能攀，黄细超，彭涛，何朝阳. 堆积层滑坡多源遥感动态演变特征分析研究. 武汉大学学报(信息科学版). 2024(08): 1482-1491 .
    5. 邓博，张会，柏君，董秀军，金典琦，金松燕，张少标. 利用机载LiDAR的深圳市斜坡类地质灾害危险性评价. 武汉大学学报(信息科学版). 2024(08): 1377-1391 .
    6. 赵晓东，杨华，王曦阅. 三维点云数据微地形特征量的提取及应用研究. 测绘科学. 2024(05): 133-142 .
    7. 陈刚，郝社锋，蒋波，喻永祥，车增光，刘汉湖，杨容浩. 基于机载LiDAR技术植被茂密区小型滑坡识别与评价. 自然资源遥感. 2024(03): 196-205 .
    8. 李伟，董远峰，李志飞，周华，靳鹏，邓玖林. “天-空-地”协同监测技术在巫溪县广安村滑坡变形特征及监测预警的应用研究. 水利水电技术(中英文). 2024(S2): 661-668 .
    9. 张过，秦绪文，朱春阳，王善绣，徐青，运晓宇. 从有路导航走向无路导航. 自然资源遥感. 2024(04): 1-8 .
    10. 杨妍妨，居和建，程洋，王永，阎书豪，王珊珊，李芹. 地质灾害隐患早期识别中的地质环境条件遥感解译及应用-以华坪县为例. 中国岩溶. 2024(06): 1362-1375 .
    11. 张强. 不同地质灾害类型的遥感解译机理研究. 科技创新与应用. 2023(01): 93-96 .
    12. 彭志忠，袁飞云，肖锋，何阳. 多源遥感数据融合调查的复杂山区滑坡易发性评价方法研究. 地质灾害与环境保护. 2023(01): 1-7 .
    13. 李琳叶，李艳艳，陈传法，刘妍，刘雅婷，刘盼盼. 林区数字高程模型修正方法：顾及高程自相关的后向传播神经网络模型. 地球信息科学学报. 2023(05): 935-952 .
    14. 贾俊，李志忠，郭小鹏，武文英. 多源遥感技术在降雨诱发勉县地质灾害调查中的应用. 西北地质. 2023(03): 268-280 .
    15. 王正庆，李策，陈雨林，刘中楠，丁华栋，余言，李天鹏，郭知鑫. 基于遥感技术的地质灾害解译及评价监测进展. 南华大学学报(自然科学版). 2023(02): 31-36 .
    16. 董远峰，李伟，邓玖林，夏杰，周华. 松坎河流域地质灾害识别与发育分布规律研究. 人民长江. 2023(S1): 54-57+67 .
    17. 魏永杰. 基于遥感技术的滑坡识别及滑坡检测系统开发. 自动化与仪器仪表. 2023(08): 37-43 .
    18. 黄德华. 福建山区机载LiDAR微地貌识别最优点密度研究. 测绘与空间地理信息. 2023(10): 132-136 .
    19. 曲彦明，马晋文，闫俊伟，刘超，李小波. 3S技术支持下吕梁地区崩塌滑坡地质灾害调查及特征分析. 能源与环保. 2023(10): 153-159 .
    20. 丁蒙阳，吴志春，刘富军，刘瑞强. 遥感技术在广东龙川县新田镇地质灾害调查的应用. 江西科学. 2023(06): 1099-1107 .
    21. 赵聪，铁永波，梁京涛. 基于机载LiDAR技术的泥石流物源侵蚀量定量评价研究. 沉积与特提斯地质. 2023(04): 808-816 .
    22. 刘国超，马会姣. 机载LiDAR+Civil 3D在植被茂密山区边坡设计土石方概算中的应用. 城市勘测. 2022(01): 114-116+121 .
    23. 刘安兴，李志军. 无人机机载LiDAR航测技术在地形地貌复杂区的应用研究. 测绘与空间地理信息. 2022(05): 74-76 .
    24. 黄海峰，薛蓉花，赵蓓蓓，易武，邓永煌，董志鸿，柳青，易庆林，张国栋. 孕灾机理与综合遥感结合的三峡库首顺层岩质滑坡隐患识别. 测绘学报. 2022(10): 2056-2068 .
    25. 刘锋. 遥感解译在地质灾害调查中的应用——以常德市地质灾害调查为例. 新型工业化. 2022(09): 250-254 .
    26. 柯鸿飞，占昭. 一种结合数字地形特征的航空影像滑坡检测方法. 测绘地理信息. 2022(06): 55-59 .
    27. 石育青，梁继，李云星，孟赛颖，石倩. 林地山区滑坡遥感的最优融合方法及应用. 遥感技术与应用. 2022(05): 1248-1258 .
    28. 王颖，王力，王志一，余洋. 城市工程地质勘查多源遥感数据技术应用研究. 国土资源信息化. 2021(03): 7-14+6 .
    29. 郭晨，许强，董秀军，刘小莎，佘金星. 复杂山区地质灾害机载激光雷达识别研究. 武汉大学学报(信息科学版). 2021(10): 1538-1547 .
    30. 戴可人，张乐乐，宋闯，李振洪，卓冠晨，许强. 川藏铁路沿线Sentinel-1影像几何畸变与升降轨适宜性定量分析. 武汉大学学报(信息科学版). 2021(10): 1450-1460 .
    31. 涂宽，王文龙，谌华，李樵民，耿丹，王川，郑健，杨影. 联合升降轨InSAR与高分辨率光学遥感的滑坡隐患早期识别——以宁夏隆德为例. 中国地质灾害与防治学报. 2021(06): 72-81 .

    Other cited types(20)

Catalog

    Get Citation
    PDF
    XML
    Article views (2325) PDF downloads (399) Cited by(51)
    Related

    Copyright © 2013 《武汉大学学报·信息科学版》编辑部

    Address：武汉大学文理学部本科生院楼北5楼Post Code：430072

    Tel：027-68778465,68788631E-mail:whuxxb@vip.163.com

    Submit Article

    Submission Guidelines

    e

    Contact Us

    Qrcode

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

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return