Preliminary assessment of joint roughness coefficient of rock slope using close-range photogrammetry technique

Adnan, Raja Asyraf Azizan Raja; Ismail, Mohd Nazri; Yusoff, Intan Norsheira; Tobe, Hayato; Miyoshi, Takako; Date, K.; Yokota, Yasuhiro

doi:10.1016/j.pce.2022.103347

Cited by 5 publications

(1 citation statement)

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“…In the field of UAV photogrammetry, the research shows that the data obtained from high-quality photogrammetric models show no difference compared to actual measure-ments [25]. Wang et al (2022) raised and validated a rockfall identification process using a vertical rock slope that is 400 m long and prone to rockfall in Wanzhou, Chongqing, China, by extracting structural surfaces using UAV photogrammetry [18].…”

Section: Introductionmentioning

confidence: 99%

Quick Extraction of Joint Surface Attitudes and Slope Preliminary Stability Analysis: A New Method Using Unmanned Aerial Vehicle 3D Photogrammetry and GIS Development

Li,

Yao,

et al. 2024

Remote Sensing

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The present study proposes a preliminary analysis method for rock mass joint acquisition, analysis, and slope stability assessment based on unmanned aerial vehicle (UAV) photogrammetry to extract the joint surface attitude in Geographic Information Systems (GIS). The method effectively solves the difficulties associated with the above issues. By combining terrain-following photogrammetry (TFP) and perpendicular and slope surface photogrammetry (PSSP), the three-dimensional (3D) information can be efficiently obtained along the slope characteristics’ surface, which avoids the information loss involved in traditional single-lens aerial photography and the information redundancy of the five-eye aerial photography. Then, a semi-automatic geoprocessing tool was developed within the ArcGIS Pro 3.0 environment, using Python for the extraction of joint surfaces. Multi-point fitting was used to calculate the joint surface attitude. The corresponding attitude symbols are generated at the same time. Finally, the joint surface attitude information is used to perform stereographic projection and kinematic analysis. The former can determine the dominant joint group, and the latter can obtain the probability of four types of failure, including planar sliding, wedge sliding, flexural toppling, and direct toppling. The integrated stability evaluation method studied in this paper, which combines a 3D interpretation of UAV and GIS stereographic projection statistical analysis, has the advantages of being efficient and user-friendly, and requires minimal prior knowledge. The results can aid in the geological surveys of slopes and guide engineering practices.

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Section: Introductionmentioning

confidence: 99%