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Detection and Analysis of Surface Characteristics of Debris Flow Gully Landslide Based on TLS Technology

  • Qiao Zhan
  • Shu GanEmail author
  • Xiping Yuan
  • Min Yang
  • Hui Yu
  • Yufei Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1075)

Abstract

Landslides distributed in debris flow gully are the main sources of debris flow disasters, the dynamic changes of these landslides play a very important role in debris flow disasters. How to efficiently and accurately detect and analyze landslide bodies in debris flow gully is an important issue in debris flow disaster monitoring and early warning research. In view of the limitations of traditional “point” type landslide deformation detection and analysis, this paper takes a typical associated landslide body of Dabaini river debris flow gully in Xiaojiang River Basin in Yunnan Province as the test object, and introduces the TLS technology’s “surface” type detection method. Firstly, two periods of test area with the scanning point cloud data as the foundation, the data preprocessing technology flow of I-Site Studio point cloud processing platform is introduced and explored; Then, the typical geomorphological features such as ridge and valley feature points and feature lines were extracted based on point cloud data and the changes of feature points and lines will be compared and analyzed; Finally, the deformation analysis of the landslide body is carried out based on the DEM comparison method. The application of ground TLS technology to the monitoring and analysis of debris flow landslide deformation is conducive to the comprehensive, intuitive and multi-faceted deformation detection of debris flow landslide body.

Keywords

Terrestrial laser scanner Associated landslide body Surface characteristics Point cloud data Detection and analysis 

Notes

Acknowledgement

National Natural Science Foundation of China, Experimental analysis study on multi-scale remote sensing survey to debris flow imprint in Dongchuan Xiaojiang (NO. 41861054).

References

  1. 1.
    Zhu, Y., Huang, W., Li, M., Zhang, M.: Analysis on the distribution and drivers of flash floods in Yunnan Province. J. Catastrophol. 33(03), 96–100 (2018)Google Scholar
  2. 2.
    Xu, S., Cheng, W., Huang, X., Li, Z.: The investigation of the landslides monitoring in the three gorges reservoir region by applying GPS. J. Hydraul. Eng. (01), 114–118 (2003)Google Scholar
  3. 3.
    Li, Y., Feng, X.: Application of GPS technique for landslide monitoring in Yunyang County of the three gorges reservoir area. Chin. J. Geol. Hazard Control (01), 124–127 (2007)Google Scholar
  4. 4.
    Xie, M., Hu, M., Wang, L.: Landslide monitoring by three-dimensional laser scanner-case study of the displacement detection of the Jinpingzi landslide. Chin. J. Geol. Hazard Control 24(04), 85–92 (2013)Google Scholar
  5. 5.
    Chen, L.: Linear feature extraction and defromation analysis of unstable rock mass surface. Chang’an University (2015)Google Scholar
  6. 6.
    Hu, M., Wang, R.: Testing study on the correlation among landslide, debris flow and rainfall in Jiangjia valley. Chin. J. Rock Mech. Eng. 22(05), 824–828 (2003)Google Scholar
  7. 7.
    Yang, M., Gan, S., Yuan, X., Gao, S., Zhu, Z., Yu, H.: Study on data acquisition and registration experiment of terretrial laser scanning point clouds under complicated banded terrain condition. Bull. Surv. Mapp. (05), 35–40 (2018)Google Scholar
  8. 8.
    Besl, P.J., Mckay, N.D.: Method for registration of 3-D shapes. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 239–254 (1994)CrossRefGoogle Scholar
  9. 9.
    Zhu, Z., Zhou, Z., Li, X., Gan, S., Yuan, X., Gao, S.: Accuracy analysis of TLS point cloud hole repair under different terrain features. Chin. J. Geol. Hazard Control 30(01), 91–96 (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Qiao Zhan
    • 1
  • Shu Gan
    • 1
    • 2
    Email author
  • Xiping Yuan
    • 1
    • 2
  • Min Yang
    • 1
  • Hui Yu
    • 1
  • Yufei Wang
    • 1
  1. 1.Faculty of Land Resource EngineeringKunming University of Science and TechnologyKunmingChina
  2. 2.Plateau Mountain Spatial Information Survey Technique Application Engineering Research Center at Yunnan Province’s UniversitiesKunmingChina

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