Landslide Detection Using Unmanned Aerial Vehicle (UAV)

Authors

  • Norsuzila Ya’acob, Farez Amirul Irfan Mohd Fadzil, Amirul Asraf Abdul Rahman, Azita Laily Yusof, Nani Fadzlina Naim

Keywords:

Unmanned Aerial Vehicle (UAV), Digital Surface Model (DSM), Mozaic data, 3D mapping, slope condition.

Abstract

Natural disaster comes in many forms and landslides are one of the most common disasters in Malaysia. This event itself had caused chaos and ruin thousands of civilians. The effort in preventing this natural disaster has increased through time. As a result, a monitoring system can be useful in reducing the risk of hazard. Unmanned aerial vehicles (UAVs) or drones equipped with cameras were used in this study to acquire clear alerts of a landslide-prone location. It is also to develop a 3D map model in order to combine data and compare the slope condition of the research region. Drones, also known as unmanned aerial vehicles (UAVs), are used in many industries that have embraced UAVs. Model view and data of Bukit Antarabangsa and Jalan Hillview may be obtained using a double-grid mission plan on a UAV utilizing Pix4D Capture which is installed in an iPad mini 4th generation. Pix4D Cloud was used to create 3D Mapping Models, Mozaic Data, and Digital Surface Models (DSM). Slope condition or angle may be assessed using DSM data. The gradient of the same research area was measured at a different time period, the slope measurements of the same research region were compared. To examine the influence of gradient and slope conditions, the data will be compared with a second flight session at the same study area. The slope changes show that different day and time has an influence on slope instability, which can result in landslides.

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Published

2022-07-25