Integration of Geological Survey and Digital Mapping Tools for Geological Modeling to Investigate the Relationship Between Geological Structures and Landslide Distribution

Authors

  • Pai-Chiao Lo National Taiwan University, Taipei, Taiwan Author
  • Yong-Zhi Huang National Taiwan University, Taipei, Taiwan Author
  • Tai-Tien Wang National Taiwan University, Taipei, Taiwan Author
  • Wei Lo National Taipei University of Technology, Taipei, Taiwan Author
  • Yu-Chung Hsieh Geological Survey and Mining Management Agency, MOEA, New Taipei, Taiwan Author

DOI:

https://doi.org/10.64862/ajeg.2025.2sp.74.199

Keywords:

Landslide, Remote sensing, UAV, Geological model

Abstract

Geological structures are crucial in determining rock mass characteristics and slope stability, directly influencing the occurrence and distribution of landslides. Traditional geological surveys are often limited by terrain, vegetation, and resolution constraints. With the rapid advancement of remote sensing technologies, such as LiDAR and UAV-based photogrammetry, the ability to investigate terrain, geomorphology, and rock discontinuities has significantly improved. These tools improve spatial resolution and data quality, making it easier to interpret geological features, rock engineering parameters, and terrain variability. This study investigates a structurally complex area along the Southern Cross-Island Highway in Taiwan, near the boundary between slate and schist belts. A combination of surface geological surveys, remote sensing analysis, and UAV-based digital mapping was used to create a geological model. The findings highlight the importance of combining geological modeling with remote sensing data to analyze landslide-prone areas. The developed model not only reveals the structural controls on landslide occurrence but also provides a practical foundation for hazard assessment and highway maintenance planning.

References

Langridge, R. M., Ries, W. F., Farrier, T., Barth, N. C., Khajavi, N., and De Pascale, G. P. (2014). Developing sub 5-m LiDAR DEMs for forested sections of the Alpine and Hope faults, South Island, New Zealand: Implications for structural interpretations. Journal of Structural Geology, 64, 53–66. https://doi.org/10.1016/j.jsg.2013.11.007

Lo, P. C., Lo, W., Wang, T. T., and Hsieh, Y. C. (2021). Application of geological mapping using airborne-based LiDAR DEM to tunnel engineering: Example of Dongao Tunnel in north-eastern Taiwan. Applied Sciences, 11(10), 1-19. https://doi.org/10.3390/app11104404

Pánek, T., Břežný, M., Havenith, H. B., and Tibaldi, A. (2024). Landslides and growing folds: A lesson from the Kura fold-and-thrust belt (Azerbaijan, Georgia). Geomorphology, 449, 109059. https://doi.org/10.1016/j.geomorph.2024.109059

Stead, D., and Wolter, A. (2015). A critical review of rock slope failure mechanisms: The importance of structural geology. Journal of Structural Geology, 74, 1–23.https://doi.org/10.1016/j.jsg.2015.02.002

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Published

2025-11-27

Data Availability Statement

The authors hold all rights, including copyright and intellectual property rights, to this submission.

How to Cite

Integration of Geological Survey and Digital Mapping Tools for Geological Modeling to Investigate the Relationship Between Geological Structures and Landslide Distribution. (2025). Asian Journal of Engineering Geology, 2(Sp Issue), 159-160. https://doi.org/10.64862/ajeg.2025.2sp.74.199

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