The objective of this research was to investigate an alternative cost-effective means of improving current methods for airborne photogrammetry using small uninhabited aerial vehicles. Through added computational functionality, a custom data acquisition script was developed using Dronekit-Python to directly associate the aircraft's position and orientation to an image being captured in real time. The implemented system was tested by conducting an aerial survey on River Field, located on the campus of Carleton University. The captured images were used to generate three 3D point clouds, using the indirect, direct and assisted methods of georeferencing.A comparison between the data recorded from the aircraft's telemetry log with the results obtained from the custom data acquisition script was conducted to verify its efficacy. The calculated parameters of exterior orientation for the direct and assisted were then compared to the reference values determined through indirect georeferencing. Additionally, a comparison of the generated 3D point clouds was undertaken.The results showed good agreement between the point clouds generated through direct and assisted georeferencing with the reference, generated using the indirect method.iii ωAngle of rotation about the X axis φ Angle of rotation about the Y axis xvi Chapter 1