Spatial accuracy of UAV-derived orthoimagery and topography: Comparing photogrammetric models processed with direct geo-referencing and ground control points

Geomatica

Volumn 70, Issue 1, 2016, Pages 21-30

  Hugenholtz, Chris ^a   Brown, Owen ^b   Walker, Jordan ^b   Barchyn, Thomas ^a   Nesbit, Paul ^a   Kucharczyk, Maja ^a   Myshak, Steve ^b  

^a UNIVERSITY OF CALGARY   (Canada)

^b Ventus Geospatial   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AIR NAVIGATION; AIRCRAFT CONTROL; MEAN SQUARE ERROR; ROCK MECHANICS; SURVEYS; UNITS OF MEASUREMENT; UNMANNED AERIAL VEHICLES (UAV);

DIRECT GEOREFERENCING; GLOBAL NAVIGATION SATELLITE SYSTEMS; GROUND CONTROL POINTS; GROUND MEASUREMENTS; INERTIAL MEASUREMENT UNIT; ORDERS OF MAGNITUDE; ROOT MEAN SQUARE ERRORS; TOPOGRAPHIC MODELS;

GLOBAL POSITIONING SYSTEM;

ACCURACY ASSESSMENT; AERIAL SURVEY; AIRBORNE SENSING; DATA PROCESSING; DATA SET; GNSS; GPS; GRAVEL; NUMERICAL MODEL; ORTHOPHOTO; PHOTOGRAMMETRY; SPATIAL ANALYSIS; TOPOGRAPHY;

EID: 84964870268     PISSN: 11951036     EISSN: 19254296     Source Type: Journal    
DOI: 10.5623/cig2016-102     Document Type: Article

References (23)

1. American Society for Photogrammetric Engineering and Remote Sensing (ASPRS). 1990. Accuracy standards for large-scale maps. Photogrammetric Engineering and Remote Sensing. 56(7): 1068-1070.
2. American Society for Photogrammetric Engineering and Remote Sensing (ASPRS). 2015. ASPRS positional accuracy standards for digital geospatial data (Edition 1, Version 1.0., November, 2014). Photogrammetric Engineering & Remote Sensing. 81(3): A1-A26.
3. Fonstad, M.A., J.T. Dietrich, B.C. Courville, J.L. Jensen and P.E. Carbonneau. 2013. Topographic structure from motion: a new development in photogrammetric measurement. Earth Surface Processes and Landforms. 38(4): 421-430.
4. Grubbs, F.E. 1969. Procedures for detecting outlying observations in samples. Technometrics. 11: 1-21.
5. Hardin, P.J., and R.R. Jensen. 2011. Small-scale unmanned aerial vehicles in environmental remote sensing: challenges and opportunities. GIScience & Remote Sensing. 48(1): 99-111.
6. Harwin, S., and A. Lucieer. 2012. Assessing the accuracy of georeferenced point clouds produced via multiview stereopsis from unmanned aerial vehicle (UAV) imagery. Remote Sensing. 4(6): 1573-1599.
7. Hodgson, M.E., and P. Bresnahan. 2004. Accuracy of airborne LiDAR-derived elevation: empirical assessment and error budget. Photogrammetric Engineering & Remote Sensing. 70(3): 331-339.
8. Hugenholtz, C.H., B.J. Moorman, K. Riddell and K. Whitehead. 2012. Small unmanned aircraft systems for remote sensing and Earth science research. EOS. 93(25): 236-237.
9. Hugenholtz, C.H., K. Whitehead, O.W. Brown, T.E. Barchyn, B.J. Moorman, A.J. LeClair, K. Riddell and T. Hamilton. 2013. Geomorphological mapping with a small unmanned aircraft system (sUAS): fea ture detection and accuracy assessment of a photogrammetrically-derived digital terrain model. Geomorphology. 194: 16-24.
10. Hugenholtz, C.H., J. Walker, O.W. Brown and S. Myshak. 2015. Earthwork volumetrics with an unmanned aer i al vehicle and softcopy photogrammetry. Journal of Survey Engineering. 141(1): 06014003.
11. James, M.R., and S. Robson. 2012. Straightforward reconstruction of 3D surfaces and topography with a cam era: Accuracy and geoscience application. Journal of Geophysical Research—Earth Surface. 117(F3): F03017.
12. Kung, O., C. Streecha, A. Beyeler, J.-C. Zufferey, D. Floreano, P. Fua and F. Gervaix. 2011. The accuracy of automatic photogrammetric techniques on ultra-light UAV imagery. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXVIII-1/C22, 2011 ISPRS Zurich 2011 Workshop, 14-16 September 2011, Zurich, Switzerland. 125-130.
13. Lowe, D.G. 2004. Distinctive image features from scaleinvariant keypoints. International Journal of Computer Vision. 60(2): 91-110.
14. Roze, A., J.-C. Zufferey, A. Beyeler and A. McClellan. 2014. eBee RTK accuracy assessment. Sensefly White Paper, 7p [https://www.sensefly.com/fileadmin/user_upload/sensefly/documents/eBee-RTKAccuracy-Assessment.pdf].
15. Tamminga, A., C.H. Hugenholtz, B. Eaton and M. Lapointe. 2015a. Hyperspatial remote sensing of channel reach morphology and hydraulic fish habitat using an unmanned aerial vehicle (UAV): a first assessment in the context of river research and management. River Research and Applications. 31(3): 379-391.
16. Tamminga, A., B. Eaton and C.H. Hugenholtz. 2015b. UAS-based remote sensing of fluvial change following an extreme flood event. Earth Surface Processes and Landforms. 40(11): 1464-1476.
17. Turner, D., A. Lucieer and L. Wallace. 2014. Direct georeferencing of ultrahigh-resolution UAV imagery. IEEE Transactions on Geoscience and Remote Sensing. 52(5): 2738-2745.
18. Nex, F. and F. Remondino. 2013. UAV for 3D mapping applications: a review. Applied Geomatics. 6(1): 1-15.
19. Watts, A.C., V.G. Ambrosia and E.A. Hinkley. 2012. Unmanned aircraft systems in remote sensing and scientific research: classification and considerations of use. Sensors. 4(6): 1671-1692.
20. Westoby, M.J., J. Brasington, N.F. Glasser, M.J. Hambrey and J.M. Reynolds. 2012. ‘Structure-from-Motion’ photogrammetry: a low-cost, effective tool for geosciences applications. Geomorphology. 179: 300-314.
21. Whitehead, K., and C.H. Hugenholtz. 2014. Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: a review of progress and challenges. Journal of Unmanned Vehicle Systems. 2(3): 69-85.
22. Whitehead, K., C.H. Hugenholtz, S. Myshak, O.W. Brown, A.J. LeClair, A. Tamminga, T.E. Barchyn, B.J. Moorman and B. Eaton. 2014. Remote sensing of the environment with small unmanned aircraft systems (UASs), part 2: scientific and commercial applications. Journal of Unmanned Vehicle Systems. 2(3): 86-102.
23. Whitehead, K., and C.H. Hugenholtz. 2015. Applying ASPRS accuracy standards to surveys from small unmanned aircraft systems (UAS). Photogrammetric Engineering and Remote Sensing. 81(10): 787-793.