Volume 25 Issue Z1
Nov.  2017
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Article Contents
LIU Haiyang, WANG Xueliang, LI Lihui, TU Xinbin, WANG Yanbing, LIAO Xiaohui, ZHANG Luqing. 2017: APPLICATION OF UAV AERIAL PHOTOGRAMMETRY FOR ROCKFALL DISASTER SURVEY. JOURNAL OF ENGINEERING GEOLOGY, 25(Z1): 82-87. doi: 10.13544/j.cnki.jeg.2017.s1.089
Citation: LIU Haiyang, WANG Xueliang, LI Lihui, TU Xinbin, WANG Yanbing, LIAO Xiaohui, ZHANG Luqing. 2017: APPLICATION OF UAV AERIAL PHOTOGRAMMETRY FOR ROCKFALL DISASTER SURVEY. JOURNAL OF ENGINEERING GEOLOGY, 25(Z1): 82-87. doi: 10.13544/j.cnki.jeg.2017.s1.089


doi: 10.13544/j.cnki.jeg.2017.s1.089

  • Received Date: 2017-09-02
  • Rev Recd Date: 2017-10-10
  • Publish Date: 2017-11-30
  • As a new method to obtain geographic information, UAV(unmanned aerial vehicle) has attracted a lot of attention. Compared with professional photogrammetry fixed wing UAV and large multi-rotor UAV,small quad-rotor wing UAV is more flexible, more maneuverable and more economical to survey the topographic of single disaster and micro-region. In allusion to the particularity of the working environment for rockfall survey, this article studied the influence of flight height and the angle of camera to the accuracy of data acquired by mini quadrotor UAV when it's impossible to set GCPs(ground control points) in field to optimize the data. The results indicated that:(1)DJI phantom 3 UAV can improve the horizontal accuracy in 63%,vertical accuracy in 7%when decrease the flight height from 150m to 90m, and improve the horizontal accuracy in15%~69%,vertical accuracy in 6%~9% when keeping the lens vertical. (2)In the context of a rockfall survey case in Shandong province Zibo City, author obtained the topographic data by UAV,then analyzed the 3-D numerical simulation of the rockfall movement utilizing Rockyfor3D program, the result showing the rockfall movement will threat the power grid and road has certain significance for prevention and control work for rockfall disaster.
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  • Clapuyt F, Vanacker V, Oost K V, et al. 2015. Very-high resolution monitoring of movement of surface material within a landslide[J]. Geomorphometry for Geosciences, 185~188.

    Fernández T,Pérez J L,Cardenal F J,et al. 2015. Use of a light UAV and photogrammetric techniques to study the evolution of a landslide in Jaén(southern Spain)[J]. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40 (3):241.

    Gomez C,Purdie H, 2016. UAV-based photogrammetry and geocomputing for hazards and disaster risk monitoring-A review[J]. Geoenvironmental Disasters, 3 (1):23.

    Han W Q, Ren Y R, Zhao S H. 2011. Primary usages of UAV remote sensing in gological disaster monitoring and rescuing[J]. Geospatial Information, 9 (5):6~8.

    Harwin S,Lucieer A,Osborn J. 2015. The impact of the calibration method on the accuracy of point clouds derived using unmanned aerial vehicle multi-view stereopsis[J]. Remote Sensing, 7 (9):11933~11953.

    Huang H F, Lin H Y, Lu Y M, et al. 2017. Micro unmanned aerial vehicle based remote sensing method and application for emergency survey of individual geohazard[J]. Journal of Engineering Geology, 25 (2):447~454.

    Huang R Q, Liu W H, Zhou J P, et al. 2007. Rolling tests on movement characteristics of rock blocks[J]. Chinese Journal of Geotechnical Engineering, 29 (9):1296~1302.

    Irschara A,Kaufmann V,Klopschitz M,et al. 2010. Towards fully automatic photogrammetric reconstruction using digital images taken from UAvs[J]. Proc International Society for Photogrammetry and Remote Sensing Symposium, 65~70.

    Marek L,Mi ijovský J,Tu A? ek P. 2015. Monitoring of the shallow landslide using uav photogrammetry and geodetic measurements[J]. Engineering Geology for Society and Territory, 2:113~116.

    Niethammer U,James M R,Rothmund S,et al. 2012. UAV-based remote sensing of the Super-Sauze landslide:Evaluation and results[J]. Engineering Geology, 128 (11):2~11.

    Polat N,Uysal M,Toprak A S. 2015. An investigation of DEM generation process based on LiDAR data filtering, decimation, and interpolation methods for an urban area[J]. Measurement, 75:50~56.

    Stumpf A,Malet J P,Allemand P,et al. 2015. Ground-based multi-view photogrammetry for the monitoring of landslide deformation and erosion[J]. Geomorphology, 231:130~145.

    Torrero L,Seoli L,Molino A,et al. 2015. The use of Micro-UAV to monitor active landslide scenarios[M]. Engineering Geology for Society and Territory, 701~704.

    Turner D,Lucieer A,De Jong S. 2015. Time series analysis of landslide dynamics using an Unmanned Aerial Vehicle(UAV)[J]. Remote Sensing, 7 (2):1736~1757.

    Uysal M,Toprak A S,Polat N. 2015. DEM generation with UAV Photogrammetry and accuracy analysis in Sahitler hill[J]. Measurement, 73:539~543.

    Wang H, Liu J, Wang Q L. 2015. 3D reconstruction of landslide terrain from UAV images[J].Geomatics & Spatial Information Technology, 38 (12):68~71.

    Wang Y S, Tang C, He J, et al. 2016. Use of unmanned aerial vehicle for precise investigation of geological hazard in strong seismic zone[J].Journal of Engineering Geology, 24 (4):713~719.

    Xiong G Y, Huang Z A, Pei H L, et al. 2016. Point clouds and image fusion based on monocular camera pose estimation[J].Science of Surveying and Mapping, 41 (2):115~120.

    Zhou J P, Gong J H, Wang T, et al. 2008. Study on UAV remote sensing image acquiring and visualization management system for the area affected by 5.12 Wenchuan earthquake[J]. Journal of Remote sensing, 12 (6):877~884.

    韩文权,任幼蓉,赵少华. 2011. 无人机遥感在应对地质灾害中的主要应用[J]. 地理空间信息, 9 (5):6~8.

    黄海峰,林海玉,吕奕铭,等. 2017. 基于小型无人机遥感的单体地质灾害应急调查方法与实践[J]. 工程地质学报, 25 (2):447~454.

    黄润秋,刘卫华,周江平,等. 2007. 滚石运动特征试验研宄[J]. 岩土工程学报, 29 (9):1296~1302.

    王鹤,刘军,王秋玲. 2015. 利用无人机影像进行滑坡地形三维重建[J]. 测绘与空间地理信息, 38 (12):68~71.

    王帅永,唐川,何敬,等. 2016. 无人机在强震区地质灾害精细调查中的应用研究[J]. 工程地质学报, 24 (4):713~719.

    熊光洋,黄志安,裴海龙,等. 2016. 单目相机姿态估计的点云与图像融合[J]. 测绘科学, 41 (2):115~120.

    周洁萍,龚建华,王涛,等. 2008. 汶川地震灾区无人机遥感影像获取与可视化管理系统研究[J]. 遥感学报, 12 (6):877~884.
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