Application of the airborne LiDAR technology in the identification of flat landslides and their crack grooves

doi:10.6046/zrzyyg.2021360

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Abstract

Flat landslides, typically characterized by crack grooves, are a common type of special disasters in southwestern China. However, the dense vegetation and complex terrain in disaster-developed areas limit the efficiency of conventional ground or remote sensing (RS) survey methods in the identification and extraction of disaster information. As one of the emerging remote sensing technologies, the airborne LiDAR technology and its data visualization analysis methods provide a new solution for the accurate identification of flat landslides. First, the high resolution digital elevation model (HRDEM) can be obtained using the UAV airborne LiDAR. Then, the HRDEM can be combined with visualization methods including sky view factor (SVF), hillshades, and 3D morphology simulation for the effective identification of flat landslides and their crack grooves. This study investigated the newly identified landslide hazard in the southern part of Nuoguzhai Village, Chunzai Town, Tongjiang County, northern Sichuan Province. The comprehensive RS identification method was used to realize the construction of landslide identification signs, the determination of the landslide boundary, the identification of crack groove position, and information extraction based on airborne LiDAR data. Combined with the results of field surveys, the effectiveness of the airborne LiDAR technology for the identification of flat landslides and their crack grooves in highly vegetation-covered areas was verified from both qualitative and quantitative aspects. The related study results can be used as a reference for the early identification, monitoring, and prevention of flat landslides.

Keywords flat landslides crack groove airborne LiDAR HRDEM visual analysis

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Issue Date: 27 December 2022

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	Peng HE
	Yuyan YAN
	Yan WEN
	Zhigang MA
	Qisong JIAO
	Zhaocheng GUO
	You MO

Cite this article:

Peng HE,Yuyan YAN,Yan WEN, et al. Application of the airborne LiDAR technology in the identification of flat landslides and their crack grooves[J]. Remote Sensing for Natural Resources, 2022, 34(4): 307-316.

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https://www.gtzyyg.com/EN/10.6046/zrzyyg.2021360 OR https://www.gtzyyg.com/EN/Y2022/V34/I4/307

Fig.1 Study area location and remote sensing image

Tab.1 Comparison of point cloud parameters

Fig.2 LiDAR data products and topographic derivatives

Fig.3 Flat landslide morphological characteristics in hillshade and DOM

Fig.4 Identification of flat landslide boundary by SVF visualization method and its results

Fig.5 Hillshade maps of flat landslide crack groove and its recognition results

Fig.6 3D morphological characteristics of flat landslide

Fig.7 Location diagram of field survey points

Fig.8 Field photos of Nuoguzhai Village landslide crack groove

Fig.9 Photos of damaged houses and ground in the middle of landslide

Fig.10 Photos of damaged facilities in the middle of the right side of the landslide

Fig.11 Photos of tensile cracks at the middle and lower part of the left side of the landslide

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