Sensitivity of watershed attributes to spatial resolution and interpolation method of LiDAR DEMs in three distinct landscapes

Water Resources Research

Volumn 50, Issue 3, 2014, Pages 1908-1927

  Goulden, T ^a   Hopkinson, C ^b   Jamieson, R ^a   Sterling, S ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

^b UNIVERSITY OF LETHBRIDGE   (Canada)

Author keywords

DEM; interpolation method; LiDAR; spatial resolution; stream length; watershed

Indexed keywords

FRACTAL DIMENSION; INTERPOLATION; OPTICAL RADAR; SENSORS; SURVEYING; WATERSHEDS;

DEM; INTERPOLATION METHOD; INVERSE DISTANCE WEIGHTING; NATURAL NEIGHBORS; SCALING RELATIONSHIPS; SPATIAL RESOLUTION; STREAM LENGTH; TRIANGULAR IRREGULAR NETWORKS;

IMAGE RESOLUTION;

EID: 84895416370     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2013WR013846     Document Type: Article

References (60)

1. Aguilar, F. J., F. Agũera, M. A. Aguilar, and, F. Carvajal, (2005), Effects of terrain morphology, sampling density, and interpolation methods on grid DEM accuracy, Photogramm. Eng. Remote Sens., 71 (7), 805-816. (Pubitemid 43142226)
2. Aguilar, F. J., J. P. Mills, J. Delgado, M. A. Aguilar, J. G. Negreiros, and, J. L. Perez, (2010), Modelling vertical error in LiDAR derived digital elevation models, ISPRS J. Photogramm. Remote Sens., 65 (1), 103-110, doi: 10.1016/j.isprsjprs.2009.09.003.
3. Atkinson, P. M., and, N. J. Tate, (2000), Spatial scale problems and geostatistical solutions: A review, Prof. Geogr., 52 (4), 607-623. (Pubitemid 32152891)
4. Aylsworth, J. M., and, I. M. Kettles, (2000), Distribution of peatlands, in The physical environment of the Mackenzie Valley, Northwest Territories: a baseline for the assessment for environmental change, edited by, L. D. Dyke, and, G. R. Brooks, pp. 49-55, Geological Survey of Canada, Ottawa, Ontario, Bulletin 547. (Pubitemid 32192296)
5. Barber, C. P., and, A. Shortridge, (2005), LiDAR elevation data for surface hydrologic modeling: Resolution and representation issues, Cartogr. Geogr. Inf. Sci., 32 (4), 401-410, doi: 10.1559/152304005775194692. (Pubitemid 43141732)
6. Bater, C. W., and, N. C. Coops, (2009), Evaluating error associated with LiDAR derived DEM interpolation, Comput. Geosci., 35 (2), 289-300, doi: 10.1016/j.cageo.2008.09.001.
7. Bowen, Z. H., and, R. G. Waltermire, (2002), Evaluation of light detection and ranging (LiDAR) for measuring river corridor topography, J. Am. Water Resour. Assoc., 38 (1), 33-41, doi: 10.1111/j.1752-1688.2002.tb01532.x. (Pubitemid 34253493)
8. Brisbois, M. C., R. Jamieson, R. Gordon, G. Stratton, and, A. Madani, (2008), Stream ecosystem health in rural mixed land-use watersheds, J. Environ. Eng. Sci., 7 (5), 439-452, doi: 10.1139/S08-016.
9. Cann, D., J. MacDougall, and, J. Hilchey, (1965), Soil survey of Kings County, Nova Scotia, Rep. 15, Nova Scotia Soil Surv., Canada Department of Agriculture and Nova Scotia Department of Agriculture and Marketing, Truro, Nova Scotia.
10. Carey and Associates (2009), The Global Market for Airborne LiDAR Systems and Services, Longmont, Colo. [Available at http://caryandassociates.com/about/ releases/pr16.html, last accessed 19 Nov 2012].
11. 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 (1-2), 126-141, doi: 10.1016/j.geomorph.2005.12.010. (Pubitemid 43884229)
12. Costa-Cabral, M. C., and, S. J. Burges, (1994), Digital elevation model networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas, Water Resour. Res., 30 (6), 1681-1692, doi: 10.1029/93WR03512. (Pubitemid 285283)
13. Dietrich, W. E., C. J. Wilson, D. R. Montgomery, and, J. McKean, (1993), Analysis of erosion thresholds, channel networks, and landscape morphology using a digital terrain model, J. Geol., 101, 259-278. (Pubitemid 23382385)
14. Environmental Systems Research Institute (ESRI) (2003), ArcGIS 9.3, Redlands, Calif.
15. Fairfield, J., and, P. Leymarie, (1991), Drainage networks from grid digital elevation models, Water Resour. Res., 27 (5), 709-717, doi: 10.1029/90WR02658.
16. Garbrecht, J., and, L. Martz, (1994), Grid size dependency of parameters extracted from digital elevation models, Comput. Geosci., 20 (1), 85-87. (Pubitemid 24405123)
17. Glennie, C., (2007), Rigorous 3D error analysis of kinematic scanning LiDAR systems, J. Appl. Geod., 1, 147-157.
18. Goulden, T., and, C. Hopkinson, (2010a), The forward propagation of integrated system component errors in airborne LiDAR data, Photogramm. Eng. Remote Sens., 76 (5), 589-601.
19. Goulden, T., and, C. Hopkinson, (2010b), Investigating the effects of the deflection of the vertical on LiDAR observations, Can. J. Remote Sens., 36 (S2), S365-S375, doi: 10.5589/m10-056.
20. Guo, Q., W. Li, H. Yu, and, O. Alvarez, (2010), Effects of topographic variability and LiDAR sampling density on several DEM interpolation methods, Photogramm. Eng. Remote Sens., 76 (6), 701-712.
21. Gyasi-Agyei, Y., G. Willgoose, and, F. P. Troch, (1995), Effects of vertical resolution and map scale of digital elevation models on geomorphological parameters used in hydrology, Hydrol. Processes, 9 (3-4), 363-382, doi: 10.1002/hyp.3360090310. (Pubitemid 26441699)
22. Helmlinger, K. R., P. Kumar, and, E. Foufoula-Georgiou, (1993), On the use of digital elevation model data for Hortonian and fractal analysis of channel networks, Water Resour. Res., 29 (8), 2599-2613, doi: 10.1029/93WR00545.
23. Hjelmfelt, A. T., (1988), Fractals and the river-length catchment-area ratio, Water Resour. Bull., 24 (2), 455-459, doi: 10.1111/j.1752-1688.1988. tb03005.x.
24. Hodgson, M. E., and, P. Bresnahan, (2004), Accuracy of airborne LiDAR-derived elevation: Empirical assessment and error budget, Photogramm. Eng. Remote Sens., 70 (3), 331-339.
25. Hopkinson, C., (2002), Investigating spatio-temporal variability of hydrological components in the Canadian Rockies, PhD thesis, Geogr. Dep., Wilfred Laurier Univ., Waterloo, Ont.
26. Hopkinson, C., L. E. Chasmer, G. Sass, I. F. Creed, M. Sitar, W. Kalbfleisch, and, P. Treitz, (2005), Vegetation class dependent errors in LiDAR ground elevation and canopy height estimates in a boreal wetland environment, Can. J. Remote Sens., 31 (2), 191-206, doi: 10.5589/m05-007. (Pubitemid 40765857)
27. Hopkinson, C., M. Hayashi, and, D. Peddle, (2009), Comparing alpine watershed attributes form LiDAR, photogrammetric, and contour based digital elevation models, Hydrol. Processes, 23 (3), 451-463, doi: 10.1002/hyp.7155.
28. Hopkinson, C., N. Crasto, P. Marsh, D. Forbes, and, L. Lesack, (2011), Investigating the spatial distribution of water levels in the Mackenzie Delta using airborne LiDAR, Hydrol. Processes, 25 (19), 2995-3011, doi: 10.1002/hyp.8167.
29. Horton, R. E., (1932), Drainage basin characteristics, Trans. AGU, 13, 350-361.
30. Jamieson, R., R. Gordon, S. Tattrie, and, G. Stratton, (2003), Sources and persistence of fecal coliform bacteria in a rural watershed, Water Qual. Res. J. Can., 38 (1), 33-47. (Pubitemid 36333686)
31. Jensen, S. K., and, J. O. Dominigue, (1988), Extracting topographic structure from digital elevation data for geographic information system analysis, Photogramm. Eng. Remote Sens., 54 (11), 1593-1600.
32. Jones, K. L., G. C. Poole, S. J. O'Daniel, L. A. K. Martes, and, J. A. Stanford, (2008), Surface hydrology of low relief landscapes: Assessing surface water flow impedance using LiDAR-derived digital elevation models, Remote Sens. Environ., 112 (11), 4148-5158, doi: 10.1016/j.rse.2008.01.024.
33. La Barbera, P., and, R. Rosso, (1989), On the fractal dimension of stream networks, Water Resour. Res., 25 (4), 735-741, doi: 10.1029/WR025i004p00735. (Pubitemid 19305590)
34. Lashermes, B., E. Foufoula-Georgiou, and, W. E. Dietrich, (2007), Channel network extraction from high resolution topography using wavelets, Geophys. Res. Lett., 34, L23S04, doi: 10.1029/2007GL031140. (Pubitemid 351247044)
35. Li, J., and, D. W. Wong, (2010), Effects of DEM sources on hydrologic applications, Comput. Environ. Urban Syst., 34 (3), 251-261.
36. Lohani, B., and, D. C. Mason, (2001), Application of airborne scanning laser altimetry to the study of tidal channel geomorphology, ISPRS J. Photogramm. Remote Sens., 56 (21), 100-120, doi: 10.1016/S0924-2716(01)00041-7. (Pubitemid 34243658)
37. Maidment, D. R., (2002), Arc-Hydro: GIS for Water Resources, 203 pp., ESRI Press, Redlands, Calif.
38. Martz, L. W., and, J. Garbrecht, (1993), Automated extraction of drainage networks and watershed data from digital elevation models, Water Resour. Bull., 26 (6), 901-908, doi: 10.1111/j.1752-1688.1993.tb03250.x.
39. McMaster, K. J., (2002), Effects of digital elevation model resolution on derived stream network positions, Water Resour. Res., 38 (4), 1042-1050, doi: 10.1029/2000WR000150.
40. Moore, I. D., R. B. Grayson, and, A. R. Ladson, (1991), Digital terrain modelling: A review of hydrological, geomorphological, and biological applications, Hydrol. Processes, 5 (1), 3-30, doi: 10.1002/hyp.3360050103.
41. 1, Ann. Assoc. Am. Geogr., 58 (2), 371-385.
42. Murphy, P. N. C., J. Ogilvie, F. Meng, and, P. Arp, (2008), Stream network modelling using LiDAR and photogrammetric digital elevation models: A comparison and field verification, Hydrol. Processes, 22 (12), 1747-1754, doi: 10.1002/hyp.6770. (Pubitemid 351983210)
43. O'Callaghan, J. F., and, D. M. Mark, (1984), The extraction of drainage networks from digital elevation data, Comput. Vision Graphics Image Process., 28, 323-344, doi:10.1016/S0734-189X (84)80011-0.
44. Passalacqua, P., P. Tarolli, and, E. Foufoula-Georgiou, (2010), Testing space-scale methodologies for automatic geomorphic feature extraction from lidar in a complex mountainous landscape, Water Resour. Res., 46, W11535, doi: 10.1029/2009WR008812.
45. Pfeifer, N., and, G. Mandlburger, (2009), LiDAR data filtering and DTM generation, in Topographic Laser Ranging and Scanning: Principles and Processing, edited by, J. Shan, and, C. K. Toth, pp. 307-334, CRC Press, Boca Raton, Fla.
46. Qin, C., A.-X. Zhu, T. Pei, B. Li, C. Zhou, and, L. Yang, (2007), An adaptive approach to selecting flow partition exponent for multiple flow direction algorithm, Int. J. Geogr. Inf. Sci., 21 (4), 443-458, doi: 10.1080/13658810601073240. (Pubitemid 46510964)
47. Quinn, P., K. Beven, P. Chevallier, and, O. Planchon, (1991), The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models, Hydrol. Processes, 5 (1), 59-79, doi: 10.1002/hyp.3360050106.
48. Quinton, W. L., M. Hayashi, and, A. Pietroniro, (2003), Connectivity and storage functions of channel fens and flat bogs in northern basins, Hydrol. Processes, 17 (18), 3665-3684, doi: 10.1002/hyp.1369. (Pubitemid 38070215)
49. Quinton, W. L., M. Hayashi, and, S. K. Carey, (2008), Peat hydraulic conductivity in cold regions and its relation to pore size and geometry, Hydrol. Processes, 22 (15), 2829-2837, doi: 10.1002/hyp.7027.
50. Remmel, T. K., K. W. Todd, and, J. Buttle, (2008), A comparison of existing surficial hydrological data layers in a low relief forested Ontario landscape with those derived from a LiDAR DEM, For. Chron., 84 (6), 850-865, doi: 10.5558/tfc84850-6.
51. Reutebuch, S. E., R. J. McGaughey, H. Andersen, and, W. W. Carson, (2003), Accuracy of a high-resolution LiDAR terrain model under a conifer forest canopy, Can. J. Remote Sens., 29 (5), 527-535, doi: 10.5589/m03-022.
52. Rodríguez-Iturbe, I., and, A. Rinaldo, (2001), Fractal River Basins: Chance and Self-Organization, Cambridge Univ. Press, New York, NY.
53. Seibert, J., and, B. L. McGlynn, (2007), A new triangular multiple flow direction algorithm for computing upslope areas from gridded digital elevation models, Water Resour. Res., 43, W04501, doi: 10.1029/2006WR005128. (Pubitemid 46799541)
54. Sibson, R., (1981), A brief description of natural neighbour interpolation, in Interpreting Multivariate Data, edited by, V. Barnett, pp. 21-36, John Wiley, New York.
55. Strahler, A. N., (1952), Hypsometric (area-altitude) analysis of erosional topography, Geol. Soc. Am. Bull., 63 (11), 1117-1142, doi: 10.1130/0016-7606(1952)63 [1117:HAAOET]2.0.CO;2.
56. Tarboton, D. G., (1997), A new method for the determination of flow directions and upslope areas in grid digital elevation models, Water Resour. Res., 33 (2), 309-319.
57. Tarboton, D. G., and, D. P. Ames, (2001), Advances in the mapping of flow networks from digital elevation data, paper presented at the World Water and Environmental Resources Congress, Orlando, Fla, 20-24 May, ASCE (American Society of Civil Engineers).
58. Tarboton, D. G., R. L. Bras, and, I. Rodriguez-Iturbe, (1988), The fractal nature of river networks, Water Resour. Res., 24 (8), 1317-1322, doi: 10.1029/WR024i008p01317. (Pubitemid 19298421)
59. Thieken, A. H., A. Lucke, B. Diekkruger, and, O. Richter, (1999), Scaling impact input data by GIS for hydrological modeling, Hydrol. Processes, 13 (4), 611-630, doi: 10.1002/(SICI)1099-1085(199903)13:4 <611::AID-HYP758>3.0. CO;2-6. (Pubitemid 29241410)
60. Wang, X., and, Z. Yin, (1998), A comparison of drainage networks derived from digital elevation models at two scales, J. Hydrol., 210 (1-4), 221-241, doi: 10.1016/S0022-1694(98)00189-9. (Pubitemid 28504059)