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    Estimation of stockpile volumes at construction sites through the use of unmanned aerial vehicles : a case study of CCCC Construction Plant in Kajjansi - Uganda

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    Ogwal-CEDAT-Masters.pdf (3.485Mb)
    Date
    2020-11
    Author
    Ogwal, Joshua
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    Abstract
    The efficiency of volumes determined in various fields of survey; mining, quarry, hydrographic and engineering fields can’t be overemphasized. Conventional surveying method using Total station and recently through the use of GNSS has been the most used for volume determination in surveying over the years, despite its long, risky and laborious data collection in sites. Even though, the Unmanned Aerial Vehicle as a platform has been an alternative in surveying, there have been doubts about its efficiency and accuracy. This project compared the applications of two novel surveying technologies of UAV and GNSS data collection platforms for volume estimation and also compared time spent employing the methods for data collection. For this purpose, an appropriate stockpile was chosen, two sets of observations were taken. First, the stockpile was mapped by a UAV flight, and secondly the stockpile was measured using a GNSS. A pix4D image processing software was used. The results have been analyzed with respect to differences in volumes and project time between the methods for data collection. After detailed analysis and comparison, it was found that both methods yields better and accurate results making both methods comparative for volume measurement. It was also realized that for this project, GNSS volume differs with that of the actual volume with 2.88% compared to UAV that showed a 1.27%. Consequently, it was also observed that using conventional surveying methods such as GNSS surveying volume estimation is more time consuming and the results are more generalized than using UAV technology where capturing thousands of surface points (i.e. point cloud) takes just seconds. In conclusion, the results show a promising future for UAV in volume estimation and surveying.
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    http://hdl.handle.net/10570/8324
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