Liu Jun, Wang Lei. Investigation and Risk Assessment of a Loess Landslide Based on UAV Tilt Photogrammetry[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 139-147.
DOI:
Liu Jun, Wang Lei. Investigation and Risk Assessment of a Loess Landslide Based on UAV Tilt Photogrammetry[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 139-147. DOI: 10.13961/j.cnki.stbctb.2023.02.017.
Investigation and Risk Assessment of a Loess Landslide Based on UAV Tilt Photogrammetry
[Objective] The tilt photogrammetry of single landslide was carried out by a flexible light rotary-wing UAV in order to explore a method that can meet the needs of geological disaster investigation and assessment in loess region under complex terrain conditions. [Methods] The study was conducted for the Zhaojiaan landslide in Yan’an City
Shaanxi Province. Multi-view
high-overlapping
and high-resolution landslide images were obtained by using UAV tilt photogrammetry technology to generate a digital elevation model (DEM)
a digital orthophoto map (DOM)
and a real-world 3D model. Spatial geometric information of the landslide body was then acquired
and the Zhaojiaan landslide risk was evaluated by combining the analytic hierarchy procedure (AHP) and the hazard calculation method. [Results] ① By interpreting the high-resolution DEM
DOM
and multi-level real-world 3D model
the fine topographic and micro-geomorphic features of the landslide were extracted
thereby improving the accuracy of geological hazard interpretation and effectively reducing the labor intensity
time cost
and operational risk of manual geological hazard investigation; ② The hazard value (R) of the Zhaojiaan landslide was 0.635
designating it as a high hazard slope. It is therefore necessary to strengthen professional monitoring work. [Conclusion] The method of landslide investigation and risk assessment based on UAV tilt photogrammetry technology is especially suitable for landslide investigations in loess areas with steep valley slopes
deep river valleys
and sparse vegetation. This technology appears to be a promising method for risk assessment of single landslide hazards in loess areas.
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