| Issue |
E3S Web Conf.
Volume 125, 2019
The 4th International Conference on Energy, Environment, Epidemiology and Information System (ICENIS 2019)
|
|
|---|---|---|
| Article Number | 03011 | |
| Number of page(s) | 4 | |
| Section | Environmental Technology | |
| DOI | https://doi.org/10.1051/e3sconf/201912503011 | |
| Published online | 28 October 2019 | |
UAV Application for Landslide Mapping in Kuningan Regency, West Java
Department of Geography, Faculty of Mathematics and Natural Science, University of Indonesia, Jakarta – Indonesia
* Corresponding author: rokhmatuloh.ssi@ui.ac.id
Kuningan Regency is one of the districts in West Java Province with a high rate of landslide events, especially in the southern part where its hilly landscape is dominated with a steep slope. Due to its vulnerability because of cracked soil after the landslide events, landslide locations in Kuningan Regency might only be safe if surveyed using the unmanned aerial vehicle (UAV). Therefore, in this study, DJI Phantom 4 Pro was flown to capture images of landslide locations with a 10 cm spatial resolution. Image processing was conducted to generate Orthophoto and Digital Surface Model (DSM) to give information about the direction and area of landslides. Two sub-districts where landslides occurred, namely Darma and Selajambe, were chosen for landslide mapping using UAV. Results show that in Darma Sub-district, the landslide area is approximately 7,026 m2, while in Selajambe Sub-district is around 8,699 m2. The study results are very useful to analyze the factors affecting landslide events such as slope.
Key words: Landslide / UAV / Orthophoto / DSM
© The Authors, published by EDP Sciences, 2019
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.