Error modeling of DEMs from topographic surveys of rivers using fuzzy inference systems

Water Resources Research

Volumn 52, Issue 2, 2016, Pages 1176-1193

  Bangen, Sara ^a   Hensleigh, James ^a   McHugh, Peter ^a   Wheaton, Joseph ^a  

^a UTAH STATE UNIVERSITY   (United States)

Author keywords

DEM uncertainty; fluvial geomorphology; fuzzy logic; spatially variable error modeling; topography

Indexed keywords

ERRORS; FUZZY LOGIC; FUZZY SYSTEMS; GEOMORPHOLOGY; SURFACE ROUGHNESS; SURFACE TOPOGRAPHY; SURVEYING; SURVEYS; TOPOGRAPHY; UNCERTAINTY ANALYSIS;

DEM UNCERTAINTY; DIGITAL ELEVATION MODEL; ERROR MODEL; FLUVIAL GEOMORPHOLOGY; FUZZY INFERENCE SYSTEMS; INTERPOLATION ERROR; MODELING ENVIRONMENTS; TOPOGRAPHIC SURVEYS;

FUZZY INFERENCE;

CALIBRATION; COMPLEXITY; DIGITAL ELEVATION MODEL; ERROR ANALYSIS; FLUVIAL GEOMORPHOLOGY; FUZZY MATHEMATICS; HYDROLOGICAL MODELING; INTERPOLATION; PARAMETERIZATION; SPATIAL VARIATION; TOPOGRAPHIC MAPPING; UNCERTAINTY ANALYSIS;

COLUMBIA RIVER;

EID: 84959432718     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR018299     Document Type: Article

References (58)

1. Alba, M., and, M. Scaioni, (2010), Automatic detection of changes and deformation in rock faces by terrestrial laser scanning, International Archives of Photogrammetry, Remote Sensing, and Spatial Information Sciences, 38, 11-16.
2. Bandemer, H., and, S. Gottwald, (1995), Fuzzy Sets, Fuzzy Logic, Fuzzy Methods, 250 pp., John Wiley, Chichester.
3. Bangen, S., J. Wheaton, N. Bouwes, C. Jordan, C. Volk, and, M. B. Ward, (2014), Crew variability in topographic surveys for monitoring wadeable streams: A case study from the Columbia River Basin, Earth Surf. Processes Landforms, 39 (15), 2070-2086.
4. 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.
5. Bisson, P. A., D. R. Montgomery, and, J. M. Buffington, (2007), Chapter 2-Valley segments, stream reaches, and channel units, in Methods in Stream Ecology (Second Edition), edited by F. R. Hauer and G. A. Lamberti, pp. 23-49, Academic Press, San Diego, Calif.
6. Blasone, G., M. Cavalli, L. Marchi, and, F. Cazorzi, (2014), Monitoring sediment source areas in a debris-flow catchment using terrestrial laser scanning, Catena, 123, 23-36.
7. Brasington, J., B. Rumsby, and, R. McVey, (2000), Monitoring and modelling morphological change in a braided gravel-bed river using high resolution GPS-based survey, Earth Surf. Processes Landforms, 25 (9), 973-990.
8. Brasington, J., J. Langham, and, B. Rumsby, (2003), Methodological sensitivity of morphometric estimates of coarse fluvial sediment transport, Geomorphology, 53 (3-4), 299-316.
9. 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.
10. Buffington, J. M., and, D. R. Montgomery, (1999), A Procedure for classifying textural facies in gravel-bed rivers, Water Resour. Res., 35 (6), 1903-1914.
11. Butler, J. B., S. N. Lane, and, J. H. Chandler, (1998), Assessment of dem quality for characterizing surface roughness using close range digital photogrammetry, Photogrammetr. Record, 16 (92), 271-291.
12. Cavalli, M., and, L. Marchi, (2008), Characterisation of the surface morphology of an alpine alluvial fan using airborne LiDAR, Nat. Hazard Earth Sys., 8 (2), 323-333.
13. Cavalli, M., P. Tarolli, L. Marchi, and, G. Dalla Fontana, (2008), The effectiveness of airborne LiDAR data in the recognition of channel-bed morphology, Catena, 73 (3), 249-260.
14. CHaMP (2013), Scientific protocol for salmonid habitat surveys within the Columbia Habitat Monitoring Program., in CHaMP (Columbia Habitat Monitoring Program), 193 pp., Terraqua, Inc., Wauconda, Wash.
15. Chaplot, V., F. Darboux, H. Bourennane, S. Leguédois, N. Silvera, and, K. Phachomphon, (2006), Accuracy of interpolation techniques for the derivation of digital elevation models in relation to landform types and data density, Geomorphology, 77 (1), 126-141.
16. Cook, A., and, V. Merwade, (2009), Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping, J. Hydrol., 377 (1), 131-142.
17. Coveney, S., A. S. Fotheringham, M. Charlton, and, T. McCarthy, (2010), Dual-scale validation of a medium-resolution coastal DEM with terrestrial LiDAR DSM and GPS, Comput. Geosci., 36 (4), 489-499.
18. Croke, J., P. Todd, C. Thompson, F. Watson, R. Denham, and, G. Khanal, (2013), The use of multi temporal LiDAR to assess basin-scale erosion and deposition following the catastrophic January 2011 Lockyer flood, SE Queensland, Australia, Geomorphology, 184, 111-126.
19. Desmet, P., (1997), Effects of interpolation errors on the analysis of DEMs, Earth Surf. Processes Landforms, 22 (6), 563-580.
20. Erwin, S. O., J. C. Schmidt, J. M. Wheaton, and, P. R. Wilcock, (2012), Closing a sediment budget for a reconfigured reach of the Provo River, Utah, United States, Water Resour. Res., 48, W10512, doi: 10.1029/2011WR011035.
21. Faustini, J. M., and, P. R. Kaufmann, (2007), Adequacy of visually classified particle count statistics from regional stream habitat surveys1, J. Am. Water Resour. Assoc., 43 (5), 1293-1315.
22. 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.
23. Fuller, I. C., A. R. G. Large, M. E. Charlton, G. L. Heritage, and, D. J. Milan, (2003), Reach-scale sediment transfers: An evaluation of two morphological budgeting approaches, Earth Surf. Processes Landforms, 28 (8), 889-903.
24. Hawkins, C. P., et al., (1993), A hierarchical approach to classifying stream habitat features, Fisheries, 18 (6), 3-12.
25. Hensleigh, J., J. M. Wheaton, P. McHugh, C. Welcker, and, S. Bangen, (2016), Techniques for robustly developing spatially variable uncertainty models for digital elevation models using fuzzy inference systems, report, Ecogeomorphol. and Topogr. Anal. Lab., Logan, Utah.
26. Heritage, G. L., D. J. Milan, A. R. G. Large, and, I. C. Fuller, (2009), Influence of survey strategy and interpolation model on DEM quality, Geomorphology, 112 (3-4), 334-344.
27. Holmes, K., O. Chadwick, and, P. C. Kyriakidis, (2000), Error in a USGS 30-meter digital elevation model and its impact on terrain modeling, J. Hydrol., 233 (1), 154-173.
28. Horritt, M., P. Bates, and, M. Mattinson, (2006), Effects of mesh resolution and topographic representation in 2D finite volume models of shallow water fluvial flow, J. Hydrol., 329 (1), 306-314.
29. Jang, J., and, N. Gulley, (2014), Fuzzy Logic Toolbox: User Guide, 328 pp., Mathworks, Natick, Mass.
30. Javernick, L., J. Brasington, and, B. Caruso, (2014), Modeling the topography of shallow braided rivers using structure-from-motion photogrammetry, Geomorphology, 213, 166-182.
31. Johnson, D. L., and, A. C. Miller, (1997), A spatially distributed hydrologic model utilizing raster data structures, Comput. Geosci., 23 (3), 267-272.
32. Klir, G. J., and, B. Yuan, (1995), Fuzzy Sets and Fuzzy Logic: Theory and Applications, 592 pp., Prentice-Hall, Upper Saddle River, N. J.
33. Lane, S. N., (1998), The use of digital terrain modelling in the understanding of dynamic river channel systems, in Landform Monitoring Modelling and Analysis, edited by, S. N. Lane, K. S. Richards, and, J. H. Chandler, pp. 311-342, Wiley, Chichester, U. K.
34. Lane, S. N., K. S. Richards, and, J. H. Chandler, (1994), Developments in monitoring and modelling small scale river bed topography, Earth Surf. Processes Landforms, 19 (4), 349-368.
35. Lane, S. N., R. M. Westaway, and, D. Murray 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.
36. Leon, J. X., G. B. Heuvelink, and, S. R. Phinn, (2014), Incorporating DEM uncertainty in coastal inundation mapping, PLoS One, 9 (9).
37. Milan, D. J., (2012), Geomorphic impact and system recovery following an extreme flood in an upland stream: Thinhope Burn, northern England, UK, Geomorphology, 138 (1), 319-328.
38. Milan, D. J., G. L. Heritage, and, D. Hetherington, (2007), Application of a 3D laser scanner in the assessment of erosion and deposition volumes and channel change in a proglacial river, Earth Surf. Processes Landforms, 32 (11), 1657-1674.
39. Milan, D. J., G. L. Heritage, A. R. G. Large, and, I. C. Fuller, (2011), Filtering spatial error from DEMs: Implications for morphological change estimation, Geomorphology, 125 (1), 160-171.
40. Moore, I. D., R. Grayson, and, A. Ladson, (1991), Digital terrain modelling: A review of hydrological, geomorphological, and biological applications, Hydrol. Processes, 5 (1), 3-30.
41. Notebaert, B., G. Verstraeten, G. Govers, and, J. Poesen, (2009), Qualitative and quantitative applications of LiDAR imagery in fluvial geomorphology, Earth Surf. Processes Landforms, 34 (2), 217-231.
42. Pasternack, G. B., M. K. Bounrisavong, and, K. K. Parikh, (2008), Backwater control on riffle-pool hydraulics, fish habitat quality, and sediment transport regime in gravel-bed rivers, J. Hydrol., 357 (1-2), 125-139.
43. Picco, L., L. Mao, M. Cavalli, E. Buzzi, R. Rainato, and, M. Lenzi, (2013), Evaluating short-term morphological changes in a gravel-bed braided river using terrestrial laser scanner, Geomorphology, 201, 323-334.
44. Prosdocimi, M., S. Calligaro, G. Sofia, G. Dalla Fontana, and, P. Tarolli, (2015), Bank erosion in agricultural drainage networks: New challenges from structure-from-motion photogrammetry for post-event analysis, Earth Surf. Processes Landforms, 40 (14), 1891-1906.
45. Reusser, L., and, P. Bierman, (2007), Accuracy assessment of LiDAR-derived DEMs of bedrock river channels: Holtwood Gorge, Susquehanna River, Geophys. Res. Lett., 34, L23S06, doi: 10.1029/2007GL031329.
46. 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.
47. Schwendel, A. C., I. C. Fuller, and, R. G. Death, (2012), Assessing DEM interpolation methods for effective representation of upland stream morphology for rapid appraisal of bed stability, River Res. Appl., 28 (5), 567-584.
48. Sofia, G., F. Pirotti, and, P. Tarolli, (2013), Variations in multiscale curvature distribution and signatures of LiDAR DTM errors, Earth Surf. Processes Landforms, 38 (10), 1116-1134.
49. Vallé, B. L., and, G. B. Pasternack, (2006), Field mapping and digital elevation modelling of submerged and unsubmerged hydraulic jump regions in a bedrock step-pool channel, Earth Surf. Processes Landforms, 31 (6), 646-664.
50. Wechsler, S. P., and, C. N. Kroll, (2006), Quantifying DEM uncertainty and its effect on topographic parameters, Photogrammetr. Eng. Remote Sens., 72 (9), 1081-1090.
51. Wheaton, J. M., (2008), Uncertainty in morphological sediment budgeting of rivers, PhD thesis, Univ. of Southampton, Southampton, U. K.
52. 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.
53. 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.
54. Wheaton, J. M., J. Brasington, S. E. Darby, A. Kasprak, D. Sear, and, D. Vericat, (2013), Morphodynamic signatures of braiding mechanisms as expressed through change in sediment storage in a gravel-bed river, J. Geophys. Res. Earth Surface, 118, 759-779, doi: 10.1002/jgrf.20060.
55. Williams, R. D., J. Brasington, D. Vericat, D. M. Hicks, F. Labrosse, and, M. Neal, (2011), Chapter 20-Monitoring braided river change using terrestrial laser scanning and optical bathymetric mapping, in Developments in Earth Surface Processes, edited by, P. Paron, M. J. Smith, and, S. G. James, pp. 507-532, Elsevier, Oxford, U. K.
56. Wise, S. M., (1998), The effect of GIS interpolation errors on the use of digital elevation models in geomorphology, in Landform Monitoring, Modelling and Analysis, edited by, S. N. Lane, K. S. Richards, and, J. H. Chandler, pp. 139-164, Wiley, Chichester, U. K.
57. Wu, S., J. Li, and, G. H. Huang, (2008), A study on DEM-derived primary topographic attributes for hydrologic applications: Sensitivity to elevation data resolution, Appl. Geogr., 28 (3), 210-223.
58. Zadeh, L. A., (1965), Fuzzy sets, Inf. Control, 8 (3), 338-353.