Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2428012(2024)

Enhanced Display and Identification of Hidden Landslides Based on Airborne LiDAR

Yue Jia1,3, Yonghua Xia2,3、*, Jie Lü2, and Changfu Zhao1
Author Affiliations
  • 1School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan , China
  • 2City College, Kunming University of Science and Technology, Kunming 650051, Yunnan , China
  • 3Application Engineering Research Center of Spatial Information Surveying and Mapping Technology in Plateau Mountainous Areas, Yunnan University, Kunming , 650093, Yunnan , China
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    Figures & Tables(13)
    Schematic diagram of the study area
    Principle diagram of unmanned aerial vehicle simulating ground flight
    Point cloud data acquisition process
    Results before and after point cloud filtering. (a) Original point cloud; (b) ground point cloud
    DEM results of the study area
    Shadow map of mountain at different azimuth angles. (a) 225 °; (b) 360 °; (c) 225 °, 360 °; (d) 225 °, 270 °, 315 °, 360 °
    Slope plot of the study area
    RRIM red stereo diagram
    SVF terrain visualization diagram
    Enhanced display fusion results
    Distribution map of landslide prone areas
    • Table 1. Zenith L2 radar system parameters table

      View table

      Table 1. Zenith L2 radar system parameters table

      Zen L2 radar parameterValue
      Supported modelMatrice350RTK
      Working temperature /℃-20‒50
      Range /m450 (reflectivity 50%)
      System accuracyPlane: 5 cm@150 m
      Elevation: 4 cm@150 m
      Distance measurement accuracy2 cm@150 m
    • Table 2. DEM accuracy evaluation table

      View table

      Table 2. DEM accuracy evaluation table

      Interpolation methodEvaluation index
      RMSE /mMAE /mR2
      OK0.22900.16670.9990
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    Yue Jia, Yonghua Xia, Jie Lü, Changfu Zhao. Enhanced Display and Identification of Hidden Landslides Based on Airborne LiDAR[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2428012

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 3, 2024

    Accepted: May. 20, 2024

    Published Online: Dec. 13, 2024

    The Author Email: Yonghua Xia (617073761@qq.com)

    DOI:10.3788/LOP241024

    CSTR:32186.14.LOP241024

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