Assessment Of the Geometric Accuracy (Vertical and Horizontal) Of an Unmanned Aerial Vehicle Data

• Author(s): Michael O. Okegbola ; Somtoochukwu C. Okafor ; Sunday T. Oyebanji ; Ganiyu O. Raheem ; Mutairu A. Yusuf
• Paper ID: 1703147
• Page: 245-256
• Published Date: 24-01-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 5 Issue 7 January-2022

Abstract

Today, the world and other professions face more challenges such as climate change, environmental degradation, over population, soil pollution along with the advancement in technology system and software. Roles of Surveyors also change, this does not mean that measurements are no longer relevant but processes, interpretation and management of the data gathered. Photogrammetric mapping and survey technology has evolved both in terms of data collection and processing, especially on data collection techniques using Unmanned Aerial Survey (UAS). Based on the purpose and significance of this research the project cover about Seventy-four hectares (74 hectares) of land having Seven (7) ground control points (GCPs) and Four (4) Checkpoints. The project covers a portion of Federal college of Education (Special) Oyo, after the flight which was flown according to the pre-defined and planned flight, Orthophoto and DTM were generated alongside the quality assessment report of the project after processing. The map accuracy was then assessed and defined in terms of the horizontal (position) and vertical accuracy and they are 3cm (RMSE= 7cm) and 9cm (RMSE= 7cm) respectively. However, it could be concluded that the Orthophoto and DTM generated from UAV can be employed in achieving accurate mapping because it falls within the allowable mapping error limit and RMSE according to the American Society for Photogrammetry and Remote Sensing and National Standard for Spatial Data Accuracy. This paper has been able to look into the geometric quality through geometric accuracy and resolution of its products which makes it fit for compilation of topographical map, cadastral maps, engineering survey maps etc.

Keywords

Accuracy, GCP, Geometric, GPS, Mapping, Orthophoto UAS.

Citations

IRE Journals:
Michael O. Okegbola , Somtoochukwu C. Okafor , Sunday T. Oyebanji , Ganiyu O. Raheem , Mutairu A. Yusuf "Assessment Of the Geometric Accuracy (Vertical and Horizontal) Of an Unmanned Aerial Vehicle Data" Iconic Research And Engineering Journals Volume 5 Issue 7 2022 Page 245-256

IEEE:
Michael O. Okegbola , Somtoochukwu C. Okafor , Sunday T. Oyebanji , Ganiyu O. Raheem , Mutairu A. Yusuf "Assessment Of the Geometric Accuracy (Vertical and Horizontal) Of an Unmanned Aerial Vehicle Data" Iconic Research And Engineering Journals, 5(7)