Ultrahigh-resolution mapping of peatland microform using ground-based structure from motion with multiview stereo

Journal of Geophysical Research: Biogeosciences

Volumn 121, Issue 11, 2016, Pages 2901-2916

  Mercer, Jason J ^a,b   Westbrook, Cherie J ^a  

^a UNIVERSITY OF SASKATCHEWAN   (Canada)

^b UNIVERSITY OF WYOMING   (United States)

Author keywords

microtopography; peatlands; SfM; vegetation correction; wetland mapping; wetlands

Indexed keywords

ALPINE ENVIRONMENT; COMPUTER VISION; DATA ACQUISITION; DATA PROCESSING; ERROR CORRECTION; GROUND-BASED MEASUREMENT; MICROTOPOGRAPHY; PEATLAND; PHOTOGRAMMETRY; SPATIAL RESOLUTION; STEREO IMAGE; VIDEOGRAPHY;

ALBERTA; BANFF NATIONAL PARK; CANADA;

EID: 85002878553     PISSN: 21698953     EISSN: 21698961     Source Type: Journal    
DOI: 10.1002/2016JG003478     Document Type: Article

References (52)

1. Anderson, K., J. Bennie, and A. Wetherelt (2010), Laser scanning of fine scale pattern along a hydrological gradient in a peatland ecosystem, Landscape. Ecol., 25(3), 477–492.
2. Baird, A. J., A. M. Milner, A. Blundell, G. T. Swindles, and P. J. Morris (2016), Microform-scale variations in peatland permeability and their ecohydrological implications, J. Ecol., 104(2), 531–544.
3. Bangen, S. G., J. M. Wheaton, N. Bouwes, B. Bouwes, and C. Jordan (2014), A methodological intercomparison of topographic survey techniques for characterizing wadeable streams and rivers, Geomorphology, 206, 343–361.
4. Belyea, L. R., and R. S. Clymo (2001), Feedback control of the rate of peat formation, Proc. R. Soc. London. Ser. B Biol. Sci., 268(1473), 1315–1321.
5. Benscoter, B. W., D. Greenacre, and M. R. Turetsky (2015), Wildfire as a key determinant of peatland microtopography, Can. J. For. Res., 45(8), 1132–1136.
6. Branham, J. E., and M. Strack (2014), Saturated hydraulic conductivity in Sphagnum-dominated peatlands: Do microforms matter?, Hydrol. Process., 28(14), 4352–4362.
7. Brasington, J., D. Vericat, and I. Rychkov (2012), Modeling river bed morphology, roughness, and surface sedimentology using high resolution terrestrial laser scanning, Water Resour. Res., 48, W11519, doi:10.1029/2012WR012223.
8. Natural Resources Canada (2015), Precise point positioning. [Available at http://webapp.geod.nrcan.gc.ca/geod/tools-outils/ppp.php?locale=en] (Accessed 1 April 2015).
9. Carbonneau, P. E., and J. T. Dietrich (2016), Cost-effective non-metric photogrammetry from consumer-grade sUAS: Implications for direct georeferencing of structure from motion photogrammetry, Earth Surf. Processes Landforms, doi:10.1002/esp.4012.
10. Costanza, R., R. de Groot, P. Sutton, S. van der Ploeg, S. J. Anderson, I. Kubiszewski, S. Farber, and R. K. Turner (2014), Changes in the global value of ecosystem services, Global Environ. Change, 26, 152–158.
11. Cunliffe, A. M., R. E. Brazier, and K. Anderson (2016), Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry, Remote Sens. Environ., 183, 129–143.
12. Dietrich, J. T. (2016), Riverscape mapping with helicopter-based structure-from-motion photogrammetry, Geomorphology, 252, 144–157.
13. 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 Surf. Processes Landforms, 38(4), 421–430.
14. Frei, S., K. H. Knorr, S. Peiffer, and J. H. Fleckenstein (2012), Surface micro-topography causes hot spots of biogeochemical activity in wetland systems: A virtual modeling experiment, J. Geophys. Res., 117, G00N12, doi:10.1029/2012JG002012.
15. Griffin, L. F., J. M. Knight, and P. E. R. Dale (2010), Identifying mosquito habitat microtopography in an Australian mangrove forest using LiDAR derived elevation data, Wetlands, 30(5), 929–937.
16. Hayashi, M., and G. van der Kamp (2000), Simple equations to represent the volume-area-depth relations of shallow wetlands in small topographic depressions, J. Hydrol., 237(1), 74–85.
17. James, M. R., and S. Robson (2012), Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application, J. Geophys. Res., 117, F03017, doi:10.1029/2011JF002289.
18. James, M. R., and S. Robson (2014), Mitigating systematic error in topographic models derived from UAV and ground-based image networks, Earth Surf. Processes Landforms, 39(10), 1413–1420.
19. Javernick, L., J. Brasington, and B. Caruso (2014), Modeling the topography of shallow braided rivers using Structure-from-Motion photogrammetry, Geomorphology, 213, 166–182.
20. Knight, J. M., P. E. R. Dale, J. Spencer, and L. Griffin (2009), Exploring LiDAR data for mapping the micro-topography and tidal hydro-dynamics of mangrove systems: An example from southeast Queensland, Australia, Estuarine Coastal Shelf Sci., 85(4), 593–600.
21. Konecny, G. (2014), Geoinformation: Remote Sensing, Photogrammetry and Geographic Information Systems, 2nd ed., CRC Press.
22. Lane, S. N., R. M. Westaway, and D. M. Hicks (2003), Estimation of erosion and deposition volumes in a large, gravel-bed, braided river using synoptic remote sensing, Earth Surf. Processes Landforms, 28(3), 249–271.
23. Lowe, D. G. (1999), Object recognition from local scale-invariant features, in Computer vision, 1999. The Proceedings of the Seventh IEEE International Conference, vol. 2, pp. 1150–1157, IEEE, Hoboken, N. J.
24. Lowe, D. G. (2004), Distinctive image features from scale-invariant keypoints, Int. J. Comput. Vis., 60(2), 91–110.
25. Luscombe, D. J., K. Anderson, N. Gatis, E. Grand-Clement, and R. E. Brazier (2014), Using thermal airborne imagery to measure near surface hydrology in upland ecosystems, Hydrol. Process., 29(6), 1656–1668.
26. Luscombe, D. J., K. Anderson, N. Gatis, A. Wetherelt, E. Grand-Clement, and R. E. Brazier (2015), What does airborne LiDAR really measure in upland ecosystems? Ecohydrology, 8(4), 584–594.
27. Madden, M., T. Jordan, S. Bernardes, D. L. Cotten, N. O'Hare, and A. Pasqua (2015), Unmanned aerial systems and structure from motion revolutionize wetlands mapping, in Remote Sensing of Wetlands: Applications and Advances, edited by R. W. Tiner, M. W. Lang, and V. V. Klemas, pp. 195–220, CRC Press, Boca Raton, Fla.
28. Maxa, M., and P. Bolstad (2009), Mapping northern wetlands with high resolution satellite images and LiDAR, Wetlands, 29(1), 248–260.
29. McLaughlin, D. L., M. L. Carlson Mazur, D. A. Kaplan, and M. J. Cohen (2014), Estimating effective specific yield in inundated conditions: A comment on a recent application, Ecohydrology, 7(4), 1245–1247.
30. Moser, K., C. Ahn, and G. Noe (2007), Characterization of microtopography and its influence on vegetation patterns in created wetlands, Wetlands, 27(4), 1081–1097.
31. Nungesser, M. K. (2003), Modelling microtopography in boreal peatlands: Hummocks and hollows, Ecol. Modell., 165(2–3), 175–207.
32. Pollock, M. M., R. J. Naiman, and T. A. Hanley (1998), Plant species richness in riparian wetlands—A test of biodiversity theory, Ecology, 79(1), 94–105.
33. R Core Team (2015), R: A language and environment for statistical computing.
34. Rosnell, T., and E. Honkavaara (2012), Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera, Sensors, 12(1), 453–480.
35. Rousseeuw, P. J., and C. Croux (1993), Alternatives to the median absolute deviation, J. Am. Stat. Assoc., 88(424), 1273–1283.
36. Rychkov, I., J. Brasington, and D. Vericat (2012), Computational and methodological aspects of terrestrial surface analysis based on point clouds, Comput. Geosci., 42, 64–70.
37. Smith, M. W., J. L. Carrivick, J. Hooke, and M. J. Kirkby (2014), Reconstructing flash flood magnitudes using “Structure-from-Motion”: A rapid assessment tool, J. Hydrol., 519, 1914–1927.
38. Smith, M. W., J. L. Carrivick, and D. J. Quincey (2015), Structure from motion photogrammetry in physical geography, Prog. Phys. Geogr., 40(2), 247–275.
39. Spence, C., and S. Mengistu (2016), Deployment of an unmanned aerial system to assist in mapping an intermittent stream, Hydrol. Process., 30, 493–500.
40. Strack, M., J. M. Waddington, R. A. Bourbonniere, E. L. Buckton, K. Shaw, P. Whittington, and J. S. Price (2008), Effect of water table drawdown on peatland dissolved organic carbon export and dynamics, Hydrol. Process., 22, 3373–3385.
41. Sumner, D. M. (2007), Effects of capillarity and microtopography on wetland specific yield, Wetlands, 27(3), 693–701.
42. Taylor, J. R. (1997), An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements, 2nd ed., Univ. Science Books, Sausalito, Calif.
43. Tomasi, C., and T. Kanade (1992), Shape and motion from image streams under orthography: A factorization method, Int. J. Comput. Vis., 9(2), 137–154.
44. Van der Ploeg, M. J., W. M. Appels, D. G. Cirkel, M. R. Oosterwoud, J.-P. M. Witte, and S. E. A. T. M. van der Zee (2012), Microtopography as a driving mechanism for ecohydrological processes in shallow groundwater systems, Vadose Zo. J., 11(3).
45. Waddington, J. M., P. J. Morris, N. Kettridge, G. Granath, D. K. Thompson, and P. A. Moore (2015), Hydrological feedbacks in northern peatlands, Ecohydrology, 8, 113–127.
46. Werner, K. J., and J. B. Zedler (2002), How sedge meadow soils, microtopography, and vegetation respond to sedimentation, Wetlands, 22(3), 451–466.
47. 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 geoscience applications, Geomorphology, 179, 300–314.
48. Wheaton, J. M. (2008), Uncertainty in morphological sediment budgeting of rivers, University of Southampton.
49. Wheaton, J. M., J. Brasington, S. E. Darby, and D. A. Sear (2010a), Accounting for uncertainty in DEMs from repeat topographic surveys: Improved sediment budgets, Earth Surf. Processes Landforms, 35(2), 136–156.
50. Wheaton, J. M., J. Brasington, S. E. Darby, J. Merz, G. B. Pasternack, D. Sear, and D. Vericat (2010b), Linking geomorphic changes to salmonid habitat at a scale relevant to fish, River Res. Appl., 26(4), 469–486.
51. Woodget, A. S., P. E. Carbonneau, F. Visser, and I. P. Maddock (2015), Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry, Earth Surf. Processes Landforms, 40(1), 47–64.
52. Zweig, C. L., M. A. Burgess, H. F. Percival, and W. M. Kitchens (2015), Use of unmanned aircraft systems to delineate fine-scale wetland vegetation communities, Wetlands, 35(2), 303–309.