2010
DOI: 10.1002/rra.1475
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Assessing DEM interpolation methods for effective representation of upland stream morphology for rapid appraisal of bed stability

Abstract: Digital elevation models (DEMs) of river channels, built by interpolation between samples of topographic survey points, are widely used to represent surfaces and to derive land‐surface parameters. Differencing between successive DEMs permits quantification of change, which in gravel‐bed rivers is used to construct a morphological budget of lower bound estimates of sediment flux and bed‐stability surrogate. Choice of DEM interpolation method strongly influences DEM quality and realistic representation of channe… Show more

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Cited by 52 publications
(32 citation statements)
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“…By establishing a minimum number of known locations to be included in the analysis, IDW limits its sensitivity to outliers and ensures the robustness of the interpolation. This interpolation method has been extensively used to retrieve continuous representations of a variety of environmental variables such as precipitation, temperature, or elevation from point data (Chen and Liu, 2012;Didari et al, 2012;Schwendel et al, 2012). While more sophisticated statistical interpolation methods, such as kriging, exist, their more severe assumptions cannot be always met and their increasing complexity commonly requires a larger number of empirical parameters.…”
Section: Fire Spread Estimation Methodsmentioning
confidence: 99%
“…By establishing a minimum number of known locations to be included in the analysis, IDW limits its sensitivity to outliers and ensures the robustness of the interpolation. This interpolation method has been extensively used to retrieve continuous representations of a variety of environmental variables such as precipitation, temperature, or elevation from point data (Chen and Liu, 2012;Didari et al, 2012;Schwendel et al, 2012). While more sophisticated statistical interpolation methods, such as kriging, exist, their more severe assumptions cannot be always met and their increasing complexity commonly requires a larger number of empirical parameters.…”
Section: Fire Spread Estimation Methodsmentioning
confidence: 99%
“…precipitation, elevation, frost, air temperature) based on discontinuous point data (e.g. Holdaway 1996;Schwendel et al 2012). The values at unknown locations are calculated based on a combination of the distance to the known locations and the spatial arrangement of the known locations.…”
Section: Modis Burnt Area Productsmentioning
confidence: 99%
“…This result turned out to be quite different from what has been reported by other authors. For example, Schwendel et al [84] argue that very large discrepancies can be obtained from the application of different interpolators, although the initial point density in the data set they adopted was rather scarce. In fact, in that study a set of RTK-GPS points was used.…”
mentioning
confidence: 99%