Rudd, Nathan (2018) Investigation of the quantity of error caused by vegetation coverage with UAV. [USQ Project]
Abstract
UAV (Unmanned Aerial Vehicle) technology is increasingly being implemented in the surveying industry. Many studies have been undertaken to verify the accuracy of UAV collected spatial data. Vegetation is often blamed for anomalies in the collected information, this study examines this problem and seeks to investigate if a correction for the error can be made. The methodology used in this study required a UAV and terrestrial surveying equipment. A DJI Mavic Air was used for the UAV observations, a Trimble R10 GNSS (Global Navigation Satellite System) receiver was used to co-ordinate the GCPs (Ground Control Points) to MGA94 (Map Grid Australia) co-ordinate datum and AHD (Australian Height Datum). A Trimble S6 Robotic Total Station was used to complete a traditional existing conditions survey of the subject site to establish the natural surface of the terrain. The existing vegetation was also located during this procedure to model where the vegetation sat above the natural surface to help examine the quantity of error produced in the UAV measurements. After processing the field measurements, a DTM (Digital Terrain Model) of each surface was produced from the collected field data. A simple point to point comparison was first used to compare the elevation differences between the traditional field survey techniques and the UAV. An RMSE (Root Mean Square Error) analysis was used to validate the collected information for different types of vegetation around the subject site. Furthermore, a comparison of the DTM surfaces was undertaken using an isopach for another justification of the results. It was found that the quantity of error caused by vegetation when capturing spatial data with a UAV is equal to the sum of the height of the vegetation. Investigation into a correction of the error found an ongoing problem that has not been solved. The correction required is not a uniform correction and requires an unknown measurement to be known to solve the problem. Further investigation using other techniques or technology will be required to solve this problem. This study investigated the quantity of error caused by vegetation and investigated if a correction could be made for that error. It was found that the quantity of error is equal to the sum of the height of the vegetation. Investigation into a correction for the error found that the error can be corrected however it is not a productive method and a better solution should be explored.
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| Item Type: | USQ Project |
|---|---|
| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Smith, Jessica |
| Qualification: | Bachelor of Spatial Science (Honours) |
| Date Deposited: | 31 Aug 2022 02:47 |
| Last Modified: | 29 Jun 2023 02:32 |
| Uncontrolled Keywords: | UAV (Unmanned Aerial Vehicle); surveying; spatial data; vegetation coverage |
| URI: | https://sear.unisq.edu.au/id/eprint/40709 |
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