Articles | Volume 7, issue 3
Research article
02 Sep 2019
Research article |  | 02 Sep 2019

Evaluating the potential of post-processing kinematic (PPK) georeferencing for UAV-based structure- from-motion (SfM) photogrammetry and surface change detection

He Zhang, Emilien Aldana-Jague, François Clapuyt, Florian Wilken, Veerle Vanacker, and Kristof Van Oost

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Cited articles

Brasington, J., Rumsby, B. T., and McVey, R. A.: Monitoring and modelling morphological change in a braided gravel-bed river using high resolution GPS-based survey, Earth Surf. Proc. Land., 25, 973–990,<973::AID-ESP111>3.0.CO;2-Y, 2000. 
Brasington, J., Langham, J., and Rumsby, B.: Methodological sensitivity of morphometric estimates of coarse fluvial sediment transport, Geomorphology, 53, 299–316,, 2003. 
Candiago, S., Remondino, F., De Giglio, M., Dubbini, M., and Gattelli, M.: Evaluating multispectral images and vegetation indices for precision farming applications from UAV images, Remote Sens., 7, 4026–4047,, 2015. 
Clapuyt, F., Vanacker, V., and Van Oost, K.: Reproducibility of UAV-based earth topography reconstructions based on Structure-from-Motion algorithms, Geomorphology, 260, 4–15,, 2016. 
Clapuyt, F., Vanacker, V., Schlunegger, F., and Van Oost, K.: Unravelling earth flow dynamics with 3-D time series derived from UAV-SfM models, Earth Surf. Dynam., 5, 791–806,, 2017. 
Short summary
We evaluated the performance of a drone system to reconstruct 3-D topography. We used a direct georeferencing method to make the pictures have precise coordinates, which also improves the survey efficiency. With both consumer-grade and professional-grade camera and drone setups, we obtained centimetric accuracy, which provides a flexible application in topography remote sensing using drones.