ISSN: 2222-6990
Open access
Slope stability involves developing a terrain slope profile and determining the geometry of the failure surface to compute the slope factor of safety. Terrain capture and reconstruction traditionally has been expensive, time consuming and manpower intensive. This innovative method utilizing unmanned aerial system technology alongside the advancement in graphics processing can be proven as more effective and cost efficient. This research aims to develop a method to forecast the occurrence of landslide by utilizing drone technology. The objectives are to obtain data on terrain slope, create 3D model of the land, then perform analysis on the slope stability. Drone technology equipped with high accuracy GPS system captures high resolution aerial images of a land area for mapping. The data obtained is uploaded into computer software to generate the 3D model of the land. Then, the critical details such as contours or the elevations can be extracted. This information is transferred into an alternative software such as GeoStudio to analyze the stability of slope. Thus, the results can be used to predict the level of safety of the terrain slope and taken for further safety measures involving the particular area.
Burgett, J., Lytle, B., Bausman, D., Shaffer, S., & Stuckey, E. (2021). Accuracy of Drone-Based Surveys: Structured Evaluation of a UAS-Based Land Survey. Journal of Infrastructure Systems, 27(2), 05021005.
Kumar, D. N., Ahamed, A. A., & Sundar, M. G. (2020). Surveying Using Drones And Providing Results By Using Photogrammmetry Software.
Li, Y., & Liu, C. (2019). Applications of multirotor drone technologies in construction management. International Journal of Construction Management, 19(5), 401-412.
Mahajan, G. (2021). Applications of Drone Technology in Construction Industry: A Study 2012-2021. International Journal of Engineering and Advanced Technology, 11(1), 224-239.
Nonami, K. (2016). Drone technology, cutting-edge drone business, and future prospects. Journal of Robotics and Mechatronics, 28(3), 262-272.
Sanson, J. (2019, February). Drone Use in the Construction Industry Leads to Integration into the Current Civil and Construction Engineering Technology Curriculum. Paper presented at 2019 CIEC, New Orleans, LA. https://peer.asee.org/31517
Sawant, R. S., Ravikar, A., Bagdiya, N., & Bellary, V. (2021). Drone Technology in Construction Industry: State Of Art. Vidyabharati International Interdisciplinary Research Journal, 643-648.
Tezza, D., & Andujar, M. (2019). The state-of-the-art of human–drone interaction: A survey. IEEE Access, 7, 167438-167454.
In-Text Citation: (Zabidi et al., 2022)
To Cite this Article: Zabidi, M. D., Hadi, B. A., Derahman, A., & Khalid, N. A. (2022). Advanced Landslide Prediction Utilising Unmanned Aerial Vehicle (UAV). International Journal of Academic Research in Business and Social Sciences, 12(10), 2318 – 2325.
Copyright: © 2022 The Author(s)
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