Publication: High-resolution 3d modelling and geotechnical evaluation of quarry site through drone photogrammetry and software integration
| datacite.subject.fos | oecd::Engineering and technology::Materials engineering::Materials engineering | |
| dc.contributor.author | Nurul Afikah binti Aliyas | |
| dc.date.accessioned | 2025-10-27T07:22:53Z | |
| dc.date.available | 2025-10-27T07:22:53Z | |
| dc.date.issued | 2025-08-08 | |
| dc.description.abstract | This project focuses on the development of an automated drone-based system for 3D mapping and volume estimation in a quarry site, integration with utilizing advanced photogrammetry software such as Agisoft Metashape and Pix4D. The main objective is to generate high-resolution 3D models of the quarry, accurately calculate the volume of hills and stockpiles using drone-captured imagery and identifying geological discontinuities for slope analysis by utilizing the software Agisoft Metashape Discontinuity Data Set Extractor (DSE) combining with CloudCompare software. Top-down aerial mapping enabled the creation of detailed 3D models, simplifying the estimation of material quantities and optimizing operational efficiency in quarrying activities. Despite challenges such as adverse weather conditions, strict flight regulations, and limited drone battery life factors that can affect data accuracy, the study demonstrates that drone technology significantly enhances both precision and productivity in quarry management. All objective successfully achieved with drone photogrammetry and integration of software. Drone imagery was used to create high-resolution 3D models, which allowed for precise volumetric study of quarry features. Three stockpiles' volumes were determined to be 4,937.17 m³, 10,560.10 m³, and 5,952.98 m³ using Pix4D software. Based on a specified base surface, the volume of a hill formation was estimated to be 12,556,541.48 m³. Similar outcomes were obtained with Agisoft Metashape, which yielded a hill volume of 10,644,300 m³ and stockpile volumes of 2,321.2 m³, 4,106.0 m³, and 3,904.6 m³, effectively achieving the second objective. Additionally, slope face analysis was performed using point cloud data, extracting and quantifying geological discontinuities using CloudCompare and DSE software. Ten sets of joints were found in Windows 1 and 2, and the third goal was directly met when crucial dip and dip-direction values were identified which that got result have potential toppling failure and planar failure mechanisms would occur in Window 1 and Window 2, respectively. The technique was further validated by the fact that these discontinuity trends aligned with earlier geological investigations of the area.Future research is encouraged to compare traditional hand collected data with drone-acquired datasets to validate the accuracy and reliability of drone-based methods. Such comparisons could further promote the integration of drone technologies into mining workflows, setting a new industry benchmark for efficiency and data quality. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/22942 | |
| dc.language.iso | en | |
| dc.title | High-resolution 3d modelling and geotechnical evaluation of quarry site through drone photogrammetry and software integration | |
| dc.type | Resource Types::text::report::technical report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |