DOI : https://doi.org/10.18517/ijaseit.14.1.19385

Validation of Unmanned Aerial Vehicle Photogrammetry for Landslide Mapping

Muhammad Mukhlisin (1), Hany Windri Astuti (2), Eni Dwi Wardihani (3), Rini Kusumawardani (4), Bambang Supriyo (5)
(1) Department of Civil Engineering, Politeknik Negeri Semarang, Jl. Prof. Soedarto, S.H, Tembalang, Semarang, 50275, Indonesia
(2) Department of Electrical Engineering, Politeknik Negeri Semarang, Jl. Prof. Soedarto, S.H, Tembalang, Semarang, 50275, Indonesia
(3) Department of Electrical Engineering, Politeknik Negeri Semarang, Jl. Prof. Soedarto, S.H, Tembalang, Semarang, 50275, Indonesia
(4) Department of Civil Engineering, Universitas Negeri Semarang, Sekaran, Gunung Pati, Semarang, 50229, Indonesia
(5) Department of Electrical Engineering, Politeknik Negeri Semarang, Jl. Prof. Soedarto, S.H, Tembalang, Semarang, 50275, Indonesia
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How to cite (IJASEIT) :
Mukhlisin, Muhammad, et al. “Validation of Unmanned Aerial Vehicle Photogrammetry for Landslide Mapping”. International Journal on Advanced Science, Engineering and Information Technology, vol. 14, no. 1, Feb. 2024, pp. 65-72, doi:10.18517/ijaseit.14.1.19385.
Citation Format :
Unmanned Aerial Vehicle (UAV) photogrammetry offers quick and effective landslide monitoring. UAV named Polines 01-GD has been developed for photogrammetry. The UAV is designed flexibly in its gimbal to change the camera accordingly. However, UAV validation is needed to evaluate the quality of the device. This study aims to validate the performance of UAV Polines 01-GD for photogrammetry from quantitative and qualitative analysis. The quantitative analysis was performed by RMSE and area accuracy in m2 with the reference DJI Phantom 4 Pro. Meanwhile, the qualitative analysis was done using the DEM (Digital Elevation Model) result. 3D Ground Control Points (GCPs) size 2 m x 2 m were used and placed in the landslide area, UNNES park, Semarang. The camera assembled for an experiment in Polines 01-GD is GoPro Hero 3. The results show that the RMSE of Polines 01-GD is 0,0000234193, and the area accuracy to the real measurement of GCP is 97,8%. The results of landslide indicated by the data was taken in March 2022 compared to the first flight on August 2021, showing landslides in 79.4 m and 60.3 m. Even so, the DEM of DJI Phantom 4 Pro result is clearer than Polines 01-GD. In conclusion, UAV Polines 01-GD can be used for photogrammetry. However, the flight time can be a challenge for future research as Polines 01-GD can only fly in 15 minutes, which is half of DJI Phantom 4 Pro.

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