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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    References(20)

    [1] Hou X T, Men M L, Zhou Y. Application of UAV aerial survey technology in early identification of geological hazards[J]. Urban Geotechnical Investigation & Surveying, 95-99(2024).

    [2] Zhong G W. Application of airborne LiDAR in geological disaster emergency surveying and mapping[J]. Geomatics & Spatial Information Technology, 46, 197-200(2023).

    [3] Ma X D. Application of LiDAR technology in geological hazard identification and susceptibility assessment of Jiuzhaigou landslide[D](2023).

    [4] Yin C F. Landslide feature extraction and distribution correlation analysis based on airborne LiDAR[D](2021).

    [13] Bei Y X, Chen C F, Wang X et al. Effects of airborne LiDAR point cloud density and interpolation methods on the accuracy of DEM and surface roughness[J]. Journal of Geo-Information Science, 25, 265-276(2023).

    [15] Mao Y L. Study on the calculating method of sky view factor and urban heat island effect analysis[D](2019).

    [20] Chen G, Hao S F, Jiang B et al. Identification and assessment of small landslides in densely vegetated areas based on airborne LiDAR technique[J]. Remote Sensing for Natural Resources, 36, 196-205(2024).

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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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