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Article

Direct Georeferencing UAV-SfM in High-Relief Topography: Accuracy Assessment and Alternative Ground Control Strategies along Steep Inaccessible Rock Slopes

by
Paul Ryan Nesbit
1,*,
Stephen M. Hubbard
1 and
Chris H. Hugenholtz
2
1
Department of Geoscience, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada
2
Department of Geography, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada
*
Author to whom correspondence should be addressed.
Remote Sens. 2022, 14(3), 490; https://doi.org/10.3390/rs14030490
Submission received: 9 December 2021 / Revised: 31 December 2021 / Accepted: 17 January 2022 / Published: 20 January 2022

Abstract

Steep rock slopes present key opportunities and challenges within Earth science applications. Due to partial or complete inaccessibility, high-precision surveys of these high-relief landscapes remain a challenge. Direct georeferencing (DG) of unoccupied aerial vehicles (UAVs) with advanced onboard GNSS receivers presents opportunities to generate high-resolution 3D datasets without ground-based access to the study area. However, recent research has revealed large vertical errors using DG that may prove problematic in near-vertical terrain. To address these concerns, we examined more than 75 photogrammetric UAV-datasets with various imaging angles (nadir, oblique, and combinations) and ground control scenarios, including DG, along a steep slope exposure. Results demonstrate that mean errors in DG scenarios are up to 0.12 m higher than datasets using integrated georeferencing with well-distributed GCPs. Inclusion of GCPs greatly reduced mean error values but had limited influence on precision (<0.01 m) for any given imaging strategy. Use of multiple image angles resulted in the highest precisions, regardless of georeferencing strategy. These findings have implications for applications requiring the highest precision and accuracy (e.g., geotechnical engineering, hazard mitigation and mapping, and geomorphic change detection), which should consider using ground control whenever possible. However, for applications less concerned with absolute accuracy, our results show that DG datasets provide strong internal consistency and relative accuracy that may be suitable for high precision measurements within a model, without use of ground control.
Keywords: direct georeferencing; RTK; UAV; SfM; photogrammetry; high-relief terrain; steep slopes; façades direct georeferencing; RTK; UAV; SfM; photogrammetry; high-relief terrain; steep slopes; façades

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MDPI and ACS Style

Nesbit, P.R.; Hubbard, S.M.; Hugenholtz, C.H. Direct Georeferencing UAV-SfM in High-Relief Topography: Accuracy Assessment and Alternative Ground Control Strategies along Steep Inaccessible Rock Slopes. Remote Sens. 2022, 14, 490. https://doi.org/10.3390/rs14030490

AMA Style

Nesbit PR, Hubbard SM, Hugenholtz CH. Direct Georeferencing UAV-SfM in High-Relief Topography: Accuracy Assessment and Alternative Ground Control Strategies along Steep Inaccessible Rock Slopes. Remote Sensing. 2022; 14(3):490. https://doi.org/10.3390/rs14030490

Chicago/Turabian Style

Nesbit, Paul Ryan, Stephen M. Hubbard, and Chris H. Hugenholtz. 2022. "Direct Georeferencing UAV-SfM in High-Relief Topography: Accuracy Assessment and Alternative Ground Control Strategies along Steep Inaccessible Rock Slopes" Remote Sensing 14, no. 3: 490. https://doi.org/10.3390/rs14030490

APA Style

Nesbit, P. R., Hubbard, S. M., & Hugenholtz, C. H. (2022). Direct Georeferencing UAV-SfM in High-Relief Topography: Accuracy Assessment and Alternative Ground Control Strategies along Steep Inaccessible Rock Slopes. Remote Sensing, 14(3), 490. https://doi.org/10.3390/rs14030490

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