Muhammad Tri Aditya
Department of Civil Engineering, Politeknik Negeri Malang

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Analysis of the Influence of Flight Altitude on the Accuracy of Elevation Derived from UAV-Photogrammetry Helik Susilo; Dandung Novianto; Trias Rahardianto; Muhamad Fajar Subkhan; Martince N Bani; Muhammad Tri Aditya
Jurnal Geosains West Science Vol 4 No 02 (2026): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v4i02.3398

Abstract

Accurate elevation measurement is critical for applications such as construction engineering, land subsidence monitoring, and infrastructure management. Conventional terrestrial surveying using a Total Station provides reliable results but is labor intensive and time consuming. UAV-Photogrammetry offers a more efficient alternative by enabling rapid elevation estimation from aerial imagery acquired by camera equipped unmanned platforms. In this study, aerial photos were collected at three flight altitudes, 25 m, 35 m, and 45 m above ground level (AGL), and elevations derived from UAV-Photogrammetry processing were compared against Total Station measurements. The results demonstrate that imagery captured at 25 m AGL achieved the highest accuracy, with a Root Mean Square Error (RMSE) of 0.0313 m, followed by the 35 m AGL (RMSE = 0.0539 m) and 45 m AGL (RMSE = 0.1118 m). Statistical evaluation using a t-test indicated no significant differences between UAV-Photogrammetry elevations and those obtained from the Total Station.
Comparative Analysis of Weekly Overburden Volume Using Total Station Survey and Truck Count Methods in Open-Pit Mine Helik Susilo; Achmad Ainun Rafiqul; Muhammad Tri Aditya
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2938

Abstract

Topographic surveying in mining operations is used to determine the actual progress volume of excavated material. In open-pit mining, overburden volume can be estimated from Total Station survey data through surface-to-surface volume calculation and compared with production volume obtained from Truck Count data. This study evaluates weekly overburden volume estimates derived from Total Station survey data and compares them with Truck Count volume data. The results showed that the volume difference in Week 1 was -43.11 BCM with a deviation of -1.1%. In Week 2, the difference was +126.06 BCM with a deviation of +1.6%. In Week 3, the difference was -59.87 BCM with a deviation of -1.6%, while in Week 4, the difference was -112.97 BCM with a deviation of -1.1%. The total volume difference was -89.89 BCM, with an overall deviation of -0.4%. The paired t-test indicated no statistically significant difference between Total Station survey-based volume estimates and Truck Count data. Therefore, both approaches can be considered comparable for estimating weekly overburden volume in open-pit mining operations.
Comparative Analysis of Weekly Overburden Volume Using Total Station Survey and Truck Count Methods in Open-Pit Mine Helik Susilo; Achmad Ainun Rafiqul; Muhammad Tri Aditya
West Science Interdisciplinary Studies Vol. 4 No. 06 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i06.2938

Abstract

Topographic surveying in mining operations is used to determine the actual progress volume of excavated material. In open-pit mining, overburden volume can be estimated from Total Station survey data through surface-to-surface volume calculation and compared with production volume obtained from Truck Count data. This study evaluates weekly overburden volume estimates derived from Total Station survey data and compares them with Truck Count volume data. The results showed that the volume difference in Week 1 was -43.11 BCM with a deviation of -1.1%. In Week 2, the difference was +126.06 BCM with a deviation of +1.6%. In Week 3, the difference was -59.87 BCM with a deviation of -1.6%, while in Week 4, the difference was -112.97 BCM with a deviation of -1.1%. The total volume difference was -89.89 BCM, with an overall deviation of -0.4%. The paired t-test indicated no statistically significant difference between Total Station survey-based volume estimates and Truck Count data. Therefore, both approaches can be considered comparable for estimating weekly overburden volume in open-pit mining operations.