Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping
This study investigated the effect of Ground Control Point (GCP) distribution on the accuracy of UAV-based slope mapping and stability analysis. Three GCP configurations—top-only, vertical, and diagonal—were tested. Accuracy was evaluated using UAV photogrammetry and compared to GPS geodetic data. T...
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| Format: | Article |
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Komunitas Ilmuwan dan Profesional Muslim Indonesia
2025-07-01
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| Series: | Communications in Science and Technology |
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| Online Access: | https://cst.kipmi.or.id/journal/article/view/1627 |
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| author | Muhammad Hafizhir Ridha Yulian Firmana Arifin Ari Surya Abdi |
| author_facet | Muhammad Hafizhir Ridha Yulian Firmana Arifin Ari Surya Abdi |
| author_sort | Muhammad Hafizhir Ridha |
| collection | DOAJ |
| description | This study investigated the effect of Ground Control Point (GCP) distribution on the accuracy of UAV-based slope mapping and stability analysis. Three GCP configurations—top-only, vertical, and diagonal—were tested. Accuracy was evaluated using UAV photogrammetry and compared to GPS geodetic data. The vertical GCP setup produced the highest accuracy, reducing total RMSE by 89.6% (from 52.93 mm to 5.50 mm). The diagonal configuration, while being slightly less accurate (61.26 mm RMSE), improved spatial coverage. Slope stability analysis using the finite element method (FEM) confirmed the reliability of the vertical setup for slope assessment. These results demonstrated that optimizing GCP layout could significantly improve model precision while reducing fieldwork. This work contributes to efficient and accurate slope monitoring with fewer GCPs, making it suitable for large-scale geotechnical applications. Future research will focus on applying these configurations to vegetated and more complex terrains and integrating automation for broader and scalable implementation. |
| format | Article |
| id | doaj-art-ffa62f18afaf4e4a844deadd3615e52b |
| institution | Kabale University |
| issn | 2502-9258 2502-9266 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Komunitas Ilmuwan dan Profesional Muslim Indonesia |
| record_format | Article |
| series | Communications in Science and Technology |
| spelling | doaj-art-ffa62f18afaf4e4a844deadd3615e52b2025-08-20T03:40:41ZengKomunitas Ilmuwan dan Profesional Muslim IndonesiaCommunications in Science and Technology2502-92582502-92662025-07-0110117017810.21924/cst.10.1.2025.16271627Optimizing ground control points for UAV photogrammetry: a case study in slope stability mappingMuhammad Hafizhir Ridha0Yulian Firmana Arifin1Ari Surya Abdi2University of Lambung MangkuratLambung Mangkurat UniversityNational Taiwan UniversityThis study investigated the effect of Ground Control Point (GCP) distribution on the accuracy of UAV-based slope mapping and stability analysis. Three GCP configurations—top-only, vertical, and diagonal—were tested. Accuracy was evaluated using UAV photogrammetry and compared to GPS geodetic data. The vertical GCP setup produced the highest accuracy, reducing total RMSE by 89.6% (from 52.93 mm to 5.50 mm). The diagonal configuration, while being slightly less accurate (61.26 mm RMSE), improved spatial coverage. Slope stability analysis using the finite element method (FEM) confirmed the reliability of the vertical setup for slope assessment. These results demonstrated that optimizing GCP layout could significantly improve model precision while reducing fieldwork. This work contributes to efficient and accurate slope monitoring with fewer GCPs, making it suitable for large-scale geotechnical applications. Future research will focus on applying these configurations to vegetated and more complex terrains and integrating automation for broader and scalable implementation.https://cst.kipmi.or.id/journal/article/view/1627uav photogrammetry; ground control points (gcp); slope stability; disaster risk management |
| spellingShingle | Muhammad Hafizhir Ridha Yulian Firmana Arifin Ari Surya Abdi Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping Communications in Science and Technology uav photogrammetry; ground control points (gcp); slope stability; disaster risk management |
| title | Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping |
| title_full | Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping |
| title_fullStr | Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping |
| title_full_unstemmed | Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping |
| title_short | Optimizing ground control points for UAV photogrammetry: a case study in slope stability mapping |
| title_sort | optimizing ground control points for uav photogrammetry a case study in slope stability mapping |
| topic | uav photogrammetry; ground control points (gcp); slope stability; disaster risk management |
| url | https://cst.kipmi.or.id/journal/article/view/1627 |
| work_keys_str_mv | AT muhammadhafizhirridha optimizinggroundcontrolpointsforuavphotogrammetryacasestudyinslopestabilitymapping AT yulianfirmanaarifin optimizinggroundcontrolpointsforuavphotogrammetryacasestudyinslopestabilitymapping AT arisuryaabdi optimizinggroundcontrolpointsforuavphotogrammetryacasestudyinslopestabilitymapping |