Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets

Wheaton, J.M., Brasington, J., Darby, S.E and Sear, D.A. (2009) Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets. Earth Surface Processes and Landforms, 35, (2), 136-156. (doi:10.1002/esp.1886).


[img] PDF - Version of Record
Restricted to internal admin

Download (1586Kb) | Request a copy


Repeat topographic surveys are increasingly becoming more affordable, and possible at higher spatial resolutions
and over greater spatial extents. Digital elevation models (DEMs) built from such surveys can be used to produce DEM of Difference(DoD) maps and estimate the net change in storage terms for morphological sediment budgets. While these products are extremely useful for monitoring and geomorphic interpretation, data and model uncertainties render them prone to misinterpretation. Two new methods are presented, which allow for more robust and spatially variable estimation of DEM uncertainties and propagate
these forward to evaluate the consequences for estimates of geomorphic change. The fi rst relies on a fuzzy inference system to estimate the spatial variability of elevation uncertainty in individual DEMs while the second approach modifi es this estimate on the basis of the spatial coherence of erosion and deposition units. Both techniques allow for probabilistic representation of uncertainty on a cell-by-cell basis and thresholding of the sediment budget at a user-specifi ed confidence interval. The application of these new techniques is illustrated with 5 years of high resolution survey data from a 1 km long braided reach of the River Feshie in the Highlands of Scotland. The reach was found to be consistently degradational, with between 570 and 1970 m3 of net erosion per annum, despite the fact that spatially, deposition covered more surface area than erosion. In the two wetter periods with extensive braid-plain inundation, the uncertainty analysis thresholded at a 95% confi dence interval resulted in a larger percentage(57% for 2004–2005 and 59% for 2006–2007) of volumetric change being excluded from the budget than the drier years (24%for 2003–2004 and 31% for 2005–2006). For these data, the new uncertainty analysis is generally more conservative volumetrically
than a standard spatially-uniform minimum level of detection analysis, but also produces more plausible and physically meaningful results. The tools are packaged in a wizard-driven Matlab software application available for download with this paper,and can be calibrated and extended for application to any topographic point cloud (x,y,z).

Item Type: Article
Digital Object Identifier (DOI): doi:10.1002/esp.1886
ISSNs: 0197-9337 (print)
Keywords: DEM of Difference (DoD), fluvial geomorphology, morphological method, morphological sediment budgeting, river feshie, fuzzy inference system
Subjects: G Geography. Anthropology. Recreation > G Geography (General)
Divisions : University Structure - Pre August 2011 > School of Geography > Environmental Processes and Change
ePrint ID: 147879
Accepted Date and Publication Date:
10 December 2009Published
Date Deposited: 26 Apr 2010 16:06
Last Modified: 31 Mar 2016 13:21

Actions (login required)

View Item View Item