Evaluasi Performa DEM Sensor Visual (RGB) terhadap DEM Sensor LiDAR melalui Perbandingan Elevasi dan Volume Sedimen di Bendung Kamijoro
DOI:
https://doi.org/10.29303/goescienceed.v7i1.1731Keywords:
DEM LiDAR, sensor visual, sedimentation, UAVAbstract
Sediment mapping is an important aspect of dam management because sediment accumulation can reduce storage capacity and interfere with intake performance. This study aims to compare the performance of Digital Elevation Models (DEM) derived from visual sensors (RGB) with LiDAR DEMs through elevation difference analysis and sediment volume estimation at the Kamijoro Dam. Data were obtained through Unmanned Aerial Vehicle (UAV) surveys at a flight altitude of 120 m, then processed to generate DEMs from each sensor. The analysis was conducted by calculating the elevation difference at the comparison points and comparing the estimated sediment volumes produced. The results showed that the visual DEM was able to represent the general surface elevation pattern, but showed greater elevation variation compared to the LiDAR DEM. The minimum elevation difference recorded was −4.3046 m, the maximum was 9.4975 m, with an average value of 1.0323 m. In the sediment volume estimation, the LiDAR DEM produced a volume of 85,612.456 m³, while the visual DEM produced 128,596.23 m³. This difference indicates a tendency for overestimation in the visual DEM, which is thought to be caused by limitations in separating the ground surface from vegetation and non-surface objects. Relative to the LiDAR DEM, these results show that the visual DEM has higher elevation variability in complex surface conditions.
References
Alexiou, S., Papanikolaou, I., Schneiderwind, S., Kehrle, V., & Reicherter, K. (2024). Monitoring and quantifying soil erosion and sedimentation rates in centimeter accuracy using UAV-photogrammetry, GNSS, and t-LiDAR in a post-fire setting. Remote Sensing, 16(5), 802. https://doi.org/10.3390/rs16050802
Curcio, A. C., Peralta, G., Aranda, M., & Barbero, L. (2022). Evaluating the performance of high spatial resolution UAV-photogrammetry and UAV-LiDAR for salt marshes: the Cádiz Bay study case. Remote Sensing, 14(15), 3582. https://doi.org/10.3390/rs14153582
Dewi, C. (2022). Kajian akurasi geometri orthophoto dari akuisisi data pesawat tanpa awak. Journal of Syntax Literate, 7(3).
DJI. (2020). DJI Matrice 300 RTK User Manual. DJI Technology Co., Ltd.
Escobar Villanueva, J. R., Iglesias Martínez, L., & Pérez Montiel, J. I. (2019). DEM generation from fixed-wing UAV imaging and LiDAR-derived ground control points for flood estimations. Sensors, 19(14), 3205. https://doi.org/10.3390/s19143205
Firdaus, R. A. (2024). Analisis kinerja sistem LiDAR (Light Detection and Ranging) dalam pengukuran jarak dengan pendekatan simulasi: Evaluasi ketepatan dan keandalan pengukuran. Jurnal Kolaboratif Sains, 7(5), 1569–1576.
Hidayat, R., Setiawan, B., & Prabowo, Y. (2021). Evaluasi efektivitas metode UAV dalam pemetaan sedimentasi bendungan. Jurnal Teknik Pengairan, 12(1), 45–54.
Julian, H. D., & Harintaka, H. (2019). Kajian keandalan hasil ekstraksi bangunan secara otomatis menggunakan data ortofoto dan LiDAR di Kota Pontianak. Elipsoida: Jurnal Geodesi Dan Geomatika, 2(2), 85–91.
Kovanič, Ľ., Topitzer, B., Peťovský, P., Blišťan, P., Bindzárová Gergeľová, M., & Blišťanová, M. (2023). Review of photogrammetric and LiDAR applications of UAV. Applied Sciences, 13(11), 6732. https://doi.org/10.3390/app13116732
Lin, Y.-C., Cheng, Y.-T., & Zhou, T. (2019). Evaluation of UAV LiDAR for mapping coastal environments. Remote Sensing, 11(24), 2893. https://doi.org/10.3390/rs11242893
Moe, K. T., Owari, T., Furuya, N., Hiroshima, T., & Morimoto, J. (2020). Application of UAV photogrammetry with LiDAR data to facilitate the estimation of tree locations and DBH values for high-value timber species. Remote Sensing, 12(17), 2865. https://doi.org/10.3390/rs12172865
Mohamed, A., Hassan, Q. K., & Dewan, A. (2024). Accuracy assessment of UAV-based LiDAR-derived DTM over complex terrain. Remote Sensing, 16(2), 315.
Saparini, E., Prasetyo, Y., & Hani’ah, H. (2021). Pengaruh ketinggian terbang UAV LiDAR terhadap ketelitian DTM. Jurnal Geodesi Undip, 10(2), 101–110.
Specht, O. (2025). Comparison of UAV-based LiDAR and photogrammetric systems for terrain detection. Science of Remote Sensing, 11, 100191. https://doi.org/10.1016/j.srs.2024.100191
Tarmizi, A. F. (2019). Uji akurasi ketelitian peta orthophoto menggunakan pesawat UAV untuk tata guna lahan (Studi Kasus: Kecamatan Purworejo, Kabupaten Purworejo, Jawa Tengah). Institut Teknologi Nasional Malang.
Wang, X., Li, M., & Yang, B. (2021). Comparison of UAV photogrammetry and LiDAR data in terrain modeling under forest canopies. Remote Sensing, 13(3), 412.
Zhu, L., Zhang, Y., & Chen, H. (2022). Performance assessment of UAV-mounted LiDAR and RGB sensors for topographic mapping. Sensors, 22(7), 258.
