Unmanned Aerial Vehicles for Three-dimensional Mapping and Change Detection Analysis

• Autorzy: Adetola Olufunmilayo Gbopa , Emmanuel Gbenga Ayodele , Chukwuma John Okolie , Akinwumi Olaitan Ajayi , Chima Jude Iheaturu
• Języki publikacji: EN

Abstrakty

EN

Unmanned Aerial Vehicles (UAVs), commonly known as drones are increasingly being used for three-dimensional (3D) mapping of the environment. This study utilised UAV technology to produce a revised 3D map of the University of Lagos as well as land cover change detection analysis. A DJI Phantom 4 UAV was used to collect digital images at a flying height of 90 m, and 75% fore and 65% side overlaps. Ground control points (GCPs) for orthophoto rectification were coordinated with a Trimble R8 Global Navigation Satellite System. Pix4D Mapper was used to produce a digital terrain model and an orthophoto at a ground sampling distance of 4.36 cm. The change detection analysis, using the 2015 base map as reference, revealed a significant change in the land cover such as an increase of 16,306.7 m2 in buildings between 2015 and 2019. The root mean square error analysis performed using 7 GCPs showed a horizontal and vertical accuracy of 0.183 m and 0.157 m respectively. This suggests a high level of accuracy, which is adequate for 3D mapping and change detection analysis at a sustainable cost. (original abstract)

Słowa kluczowe

PL

Pojazdy bezzałogowe; Drony; Systemy bezobsługowe

EN

Unmanned vehicle; Drones; Unmanned systems

• Czasopismo: Geomatics and Environmental Engineering
• Rocznik: 2021
• Numer: nr 15/1
• Strony: 41-61

Twórcy

autor

Adetola Olufunmilayo Gbopa

• University of Lagos, Nigeria

autor

Emmanuel Gbenga Ayodele

• University of Lagos, Nigeria

autor

Chukwuma John Okolie

• University of Lagos, Nigeria

autor

Akinwumi Olaitan Ajayi

• University of Lagos, Nigeria

autor

Chima Jude Iheaturu

• Imo State University, Nigeria

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Identyfikatory

DOI

10.7494/geom.2021.15.1.41