| Issue |
MATEC Web Conf.
Volume 229, 2018
International Conference on Disaster Management (ICDM 2018)
|
|
|---|---|---|
| Article Number | 04015 | |
| Number of page(s) | 6 | |
| Section | Improving Lesson Learnt in Disaster Management | |
| DOI | https://doi.org/10.1051/matecconf/201822904015 | |
| Published online | 14 November 2018 | |
UAV and site investigation for evaluation of landslide hazard: a case study in Cipularang Km.92 Toll Road
Department of Civil Engineering, Parahyangan Katolik University, Jl. Ciumbuleuit No.94, Bandung, 40141, Indonesia E-mail: andysugianto.sorong@gmail.com
* Corresponding author: andysugianto.sorong@gmail.com
Application of Unmanned Aerial Vehicles (UAV) or drones to detect landslide Hazard and risk assessment becomes uncommon methodology in Indonesia. Nowadays, in Indonesia drones are still popular to use for commercial, news interest and advertisement purposes only. It is not mainly used for detecting landslide hazard or risk assessment purposes. Furthermore, the landslide in Indonesia is a common worldwide phenomenon that often occur and can have a great impact on the infrastructures and sometimes tragically result in fatalities. UAV provide a quick, safe, effective, and potentially superior means of inspecting large-scale, remote and difficult to access landforms with significant cost benefits compared to traditional inspection method by manual tracking. UAV can derive the aerial photography which represents actual condition and landslide hazard instantly. By using an aerial photograph, it can simplify the engineer to obtain viewpoint and presumption related with the mechanism of the landslide, some factors triggering the landslide (terrain and topography, drainage, river stream, logged area, slope height, structure, and community, etc). The result suggests that UAC can be one of most effective value in surveying and large-scale inspection to determine landslide hazard as well as general site condition.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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