3-D uncertainty-based topographic change detection with structure-from-motion photogrammetry: precision maps for ground control and directly georeferenced surveys

Earth Surface Processes and Landforms

Volumn 42, Issue 12, 2017, Pages 1769-1788

  James, Mike R ^a   Robson, Stuart ^b   Smith, Mark W ^c  

^a LANCASTER UNIVERSITY   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

DEM uncertainty; georeferencing; precision maps; structure from motion; UAV

Indexed keywords

AIRCRAFT CONTROL; AIRCRAFT DETECTION; APPLICATION PROGRAMS; BENCHMARKING; BUDGET CONTROL; CAMERAS; COPYRIGHTS; MONTE CARLO METHODS; PHOTOGRAMMETRY; QUALITY CONTROL; ROCK MECHANICS; UNMANNED AERIAL VEHICLES (UAV);

BOUNDED QUANTIFICATION; COMPREHENSIVE ANALYSIS; COVARIANCE INFORMATION; DEM UNCERTAINTY; GEOREFERENCING; MONTE CARLO PROCEDURES; PHOTOGRAMMETRIC SOFTWARE; STRUCTURE FROM MOTION;

SURVEYS;

DIGITAL ELEVATION MODEL; GROUND CONTROL; PHOTOGRAMMETRY; PRECISION; TOPOGRAPHY; UNCERTAINTY ANALYSIS; UNMANNED VEHICLE;

EID: 85015345065     PISSN: 01979337     EISSN: 10969837     Source Type: Journal    
DOI: 10.1002/esp.4125     Document Type: Article

References (61)

1. Bláha M, Eisenbeiss H, Grimm D, Limpach P. 2011. Direct georeferencing of UAVs. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII-1(C22): 131–136.
2. Borradaile GJ. 2003. Statistics of Earth Science Data: their Distribution in Space, TIme, and Orientation. Springer-Verlag Berlin: Heidelberg
3. Brasington J, Langham J, Rumsby B. 2003. Methodological sensitivity of morphometric estimates of coarse fluvial sediment transport. Geomorphology 53: 299–316. DOI:10.1016/S0169-555x90200320-3.
4. Cantón Y, Domingo F, Solé-Benet A, Puigdefábregas J. 2001. Hydrological and erosion response of a badlands system in semiarid SE Spain. Journal of Hydrology 252: 65–84. DOI:10.1016/s0022-1694(01)00450-4.
5. Carbonneau PE, Dietrich JT. 2016. Cost-effective non-metric photogrammetry from consumer-grade sUAS: implications for direct georeferencing of structure from motion photogrammetry. Earth Surface Processes and Landforms: in press. DOI:10.1002/esp.4012.
6. Casella E, Rovere A, Pedroncini A, Mucerino L, Casella M, Cusati LA, Vacchi M, Ferrari M, Firpo M. 2014. Study of wave runup using numerical models and low-altitude aerial photogrammetry: a tool for coastal management. Estuarine, Coastal and Shelf Science 149: 160–167. DOI:10.1016/j.ecss.2014.08.012.
7. Castillo C, Pérez R, James MR, Quinton NJ, Taguas EV, Gómez JA. 2012. Comparing the accuracy of several field methods for measuring gully erosion. Soil Science Society of America Journal 76: 1319–1332. DOI:10.2136/sssaj2011.0390.
8. Chandler J. 1999. Effective application of automated digital photogrammetry for geomorphological research. Earth Surface Processes and Landforms 24: 51–63.
9. Chiang K-W, Tsai M-L, Chu D-H. 2012. The Development of an UAV borne direct georeferenced photogrammetric platform for ground control point free applications. Sensors 12: 9161–9180. DOI:10.3390/s120709161.
10. Chu H-J, Chen R-A, Tseng Y-H, Wang C-K. 2014. Identifying LiDAR sample uncertainty on terrain features from DEM simulation. Geomorphology 204: 325–333. DOI:10.1016/j.geomorph.2013.08.016.
11. Clarke TA, Fryer JG. 1998. The development of camera calibration methods and models. The Photogrammetric Record 16: 51–66. DOI:10.1111/0031-868x.00113.
12. Cooper MAR, Robson S. 1996. Theory of close range photgrammetry. In Close Range Photogrammetry and Machine Vision, Atkinson KB (ed). Whittles Publishing: Caithness; 9–51.
13. Cramer M, Stallmann D, Haala N. 2000. Direct georeferencing usin GPS/inertial exterior orientations for photogrammetric applications. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIII, Part B3: 198–205.
14. Dietrich JT. 2016. Riverscape mapping with helicopter-based Structure-from-Motion photogrammetry. Geomorphology 252: 144–157. DOI:10.1016/j.geomorph.2015.05.008.
15. Eling C, Wieland M, Hess C, Klingbeil L, Kuhlmann H. 2015. Development and evaluation of a UAV based mapping system for remote sensing and surveying applications. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4: 233–239. DOI:10.5194/isprsarchives-XL-1-W4-233-2015.
16. Eltner A, Baumgart P, Maas HG, Faust D. 2015. Multi-temporal UAV data for automatic measurement of rill and interrill erosion on loess soil. Earth Surface Processes and Landforms 40: 741–755. DOI:10.1002/esp.3673.
17. Eltner A, Kaiser A, Castillo C, Rock G, Neugirg F, Abellan A. 2016. Image-based surface reconstruction in geomorphometry - merits, limits and developments. Earth Surface Dynamics 4: 359–389. DOI:10.5194/esurf-4-359-2016.
18. Förstner W, Wrobel B, Paderes F, Fraser CS, Dolloff J, Mikhail EM, Rajikietgumjorn W. 2013. Analytical photogrammetric operations. In Manual of Photogrammetry, McGlone JC (ed). American Society for Photogrammetry and Remote Sensing: Bethesda.
19. Förstner W, Wrobel BP. 2013. Mathematical concepts in photogrammetry. In Manual of photogrammetry, McGlone JC (ed). American Society for Photogrammetry and Remote Sensing: Bethesda.
20. Furukawa Y, Ponce J. 2007. Accurate, dense, and robust multi-view stereopsis. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI:10.1109/CVPR.2007.383246
21. Gabrlik P. 2015. The use of direct georeferencing in aerial photogrammetry with micro UAV. IFAC-PapersOnLine 48: 380–385.
22. Gomez-Gutierrez A, Schnabel S, Berenguer-Sempere F, Lavado-Contador F, Rubio-Delgado J. 2014. Using 3D photo-reconstruction methods to estimate gully headcut erosion. Catena 120: 91–101. DOI:10.1016/j.catena.2014.04.004.
23. Gonga-Saholiariliva N, Gunnell Y, Petit C, Mering C. 2011. Techniques for quantifying the accuracy of gridded elevation models and for mapping uncertainty in digital terrain analysis. Progress in Physical Geography 35: 739–764. DOI:10.1177/0309133311409086.
24. Granshaw SI. 1980. Bundle adjustment methods in engineering photogrammetry. The Photogrammetric Record 10: 181–207.
25. Hirschmuller H. 2008. Stereo processing by semiglobal matching and mutual information. IEEE Transactions on Pattern Analysis and Machine Intelligence 30: 328–341. DOI:10.1109/Tpami.2007.1166.
26. Hugenholtz C, Brown O, Walker J, Barchyn T, Nesbit P, Kurcharczyk M, Myshak S. 2016. Spatial accuracy of UAV-derived orthoimagery and topography: comparing photogrammetric models processed with direct geo-referencing and ground control points. Geomatica 70: 21–30. DOI:10.5623/cig2016-102.
27. James MR, Robson S. 2012. Straightforward reconstruction of 3D surfaces and topography with a camera: accuracy and geoscience application. Journal of Geophysical Research 117: F03017. DOI:10.1029/2011JF002289.F03017
28. James MR, Robson S. 2014a. Mitigating systematic error in topographic models derived from UAV and ground-based image networks. Earth Surface Processes and Landforms 39: 1413–1420. DOI:10.1002/esp.3609.
29. James MR, Robson S. 2014b. Sequential digital elevation models of active lava flows from ground-based stereo time-lapse imagery. ISPRS Journal of Photogrammetry and Remote Sensing 97: 160–170. DOI:10.1016/j.isprsjprs.2014.08.011.
30. James MR, Robson S, d'Oleire-Oltmanns S, Niethammer U. 2017. Optimising UAV topographic surveys processed with structure-from-motion: ground control quality, quantity and bundle adjustment. Geomorphology 280: 51–66. DOI:10.1016/j.geomorph.2016.11.021.
31. James MR, Varley N. 2012. Identification of structural controls in an active lava dome with high resolution DEMs: Volcán de Colima, Mexico. Geophysical Research Letters 39: L22303. DOI:10.1029/2012GL054245.L22303
32. Javernick L, Hicks DM, Measures R, Caruso B, Brasington J. 2016. Numerical modelling of braided rivers with structure-from-motion-derived terrain models. River Research and Applications 32: 1071–1081. DOI:10.1002/rra.2918.
33. Krauss K. 1993. Photogrammetry, Vol. 1, Fundamentals and Standard Processes. Dümmlers; Bonn.
34. Lague D, Brodu N, Leroux J. 2013. Accurate 3D comparison of complex topography with terrestrial laser scanner: application to the Rangitikei canyon (N-Z). ISPRS Journal of Photogrammetry and Remote Sensing 82: 10–26. DOI:10.1016/j.isprsjprs.2013.04.009.
35. Lallias-Tacon S, Liebault F, Piegay H. 2014. Step by step error assessment in braided river sediment budget using airborne LiDAR data. Geomorphology 214: 307–323. DOI:10.1016/j.geomorph.2014.02.014.
36. Lane SN, James TD, Crowell MD. 2000. Application of digital photogrammetry to complex topography for geomorphological research. The Photogrammetric Record 16: 793–821. DOI:10.1111/0031-868x.00152.
37. Lane SN, Westaway RM, Hicks DM. 2003. Estimation of erosion and deposition volumes in a large, gravel-bed, braided river using synoptic remote sensing. Earth Surface Processes and Landforms 28: 249–271. DOI:10.1002/esp.483.
38. Lucieer A, de Jong SM, Turner D. 2014. Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography. Progress in Physical Geography 38: 97–116. DOI:10.1177/0309133313515293.
39. Luhmann T, Robson S, Kyle S, Harley I. 2006. Close Range Photogrammetry: Principles, Methods and Applications. Whittles, Caitness.
40. Mian O, Lutes J, Lipa G, Hutton JJ, Gavelle E, Borghini S. 2015. Direct georeferencing on small unmanned aerial platforms for improved reliability and accuracy of mapping without the need for ground control points. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4: 397–402. DOI:10.5194/isprsarchives-XL-1-W4-397-2015.
41. Milan DJ, Heritage GL, Hetherington D. 2007. Application of a 3D laser scanner in the assessment of erosion and deposition volumes and channel change in a proglacial river. Earth Surface Processes and Landforms 32: 1657–1674. DOI:10.1002/esp.1592.
42. Milan DJ, Heritage GL, Large ARG, Fuller IC. 2011. Filtering spatial error from DEMs: Implications for morphological change estimation. Geomorphology 125: 160–171. DOI:10.1016/j.geomorph.2010.09.012.
43. Mosbrucker AR, Major JJ, Spicer KR, Pitlick J. 2017. Camera system considerations for geomorphic applications of SfM photogrammetry. Earth Surface Processes and Landforms. DOI:10.1002/esp.4066.In press
44. Nadal-Romero E, Martinez-Murillo JF, Vanmaercke M, Poesen J. 2011. Scale-dependency of sediment yield from badland areas in Mediterranean environments. Progress in Physical Geography 35: 297–332. DOI:10.1177/0309133311400330.
45. Nolan M, DesLauriers K. 2016. Which are the highest peaks in the US Arctic? Fodar settles the debate. The Cryosphere 10: 1245–1254.
46. Nolan M, Larsen C, Sturm M. 2015. Mapping snow depth from manned aircraft on landscape scales at centimeter resolution using structure-from-motion photogrammetry. The Cryosphere 9: 1445–1463. DOI:10.5194/tc-9-1445-2015.
47. Oksanen J, Sarjakoski T. 2006. Uncovering the statistical and spatial characteristics of fine toposcale DEM error. International Journal of Geographical Information Science 20: 345–369. DOI:10.1080/13658810500433891.
48. Pfeifer N, Glira P, Briese C. 2012. Direct georeferencing with on board navigation components of light weight UAV platforms. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B7: 487–492.
49. Rehak M, Mabillard R, Skaloud J. 2013. A micro-UAV with the capability of direct georeferencing. International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences XL-1/W2: 317–323.
50. Ryan JC, Hubbard AL, Box JE, Todd J, Christoffersen P, Carr JR, Holt TO, Snooke N. 2015. UAV photogrammetry and structure from motion to assess calving dynamics at Store Glacier, a large outlet draining the Greenland ice sheet. The Cryosphere 9: 1–11. DOI:10.5194/tc-9-1-2015.
51. Smith MW, Quincey DJ, Dixon T, Bingham RG, Carrivick JL, Irvine-Fynn TDL, Rippin DM. 2016. Aerodynamic roughness of glacial ice surfaces derived from high-resolution topographic data. Journal of Geophysical Research - Earth Surface 121: 748–766. DOI:10.1002/2015jf003759.
52. Smith MW, Vericat D. 2015. From experimental plots to experimental landscapes: topography, erosion and deposition in sub-humid badlands from Structure-from-Motion photogrammetry. Earth Surface Processes and Landforms 40: 1656–1671. DOI:10.1002/esp.3747.
53. Tang RF, Fritsch D. 2013. Correlation analysis of camera self-calibration in close range photogrammetry. The Photogrammetric Record 28: 86–95. DOI:10.1111/phor.12009.
54. Turner D, Lucieer A, Wallace L. 2014. Direct georeferencing of ultrahigh-resolution UAV imagery. IEEE Transactions on Geoscience and Remote Sensing 52: 2738–2745. DOI:10.1109/Tgrs.2013.2265295.
55. Wackrow R, Chandler JH. 2011. Minimising systematic error surfaces in digital elevation models using oblique convergent imagery. The Photogrammetric Record 26: 16–31. DOI:10.1111/j.1477-9730.2011.00623.x.
56. Wackrow R, Chandler JH, Bryan P. 2007. Geometric consistency and stability of consumer-grade digital cameras for accurate spatial measurement. The Photogrammetric Record 22: 121–134.
57. Wechsler SP. 2007. Uncertainties associated with digital elevation models for hydrologic applications: a review. Hydrology and Earth System Sciences 11: 1481–1500.
58. Weng QH. 2002. Quantifying uncertainty of digital elevation models derived from topographic maps. In Advances in Spatial Data Handling, Richardson D, van Oosterom P (eds). Springer: Berlin Heidelberg; 403–418.
59. Westoby MJ, Brasington J, Glasser NF, Hambrey MJ, Reynolds JM, Hassan MAAM, Lowe A. 2015. Numerical modelling of glacial lake outburst floods using physically based dam-breach models. Earth Surface Dynamics 3: 171–199. DOI:10.5194/esurf-3-171-2015.
60. Wheaton JM, Brasington J, Darby SE, Sear DA. 2010. Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets. Earth Surface Processes and Landforms 35: 136–156. DOI:10.1002/esp.1886.
61. Woodget AS, Carbonneau PE, Visser F, Maddock IP. 2015. Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry. Earth Surface Processes and Landforms 40: 47–64. DOI:10.1002/esp.3613.