2015
DOI: 10.3390/rs70607062
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Accuracy Assessment of LiDAR-Derived Digital Elevation Models Based on Approximation Theory

Abstract: Abstract:The cumulative error at a point in a LiDAR-derived DEM consists of three components: propagated LiDAR-sensor error, propagated ground error, and interpolation error. To combine these error components so as to assess the vertical accuracy of a LiDAR-derived DEM, statistical methods based on the error propagation theory are often used. Due to the existence of systematic error, statistical methods are only effective if a large number of checkpoints are available, which may not be affordable in many pract… Show more

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Cited by 23 publications
(15 citation statements)
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“…Bhattacharyya et al, 2015; Ninfo et al, 2016). For example, high-resolution LiDAR DEM data with a spatial resolution of 1 m or less, and vertical accuracy of 0.15–0.25 m (Liu et al, 2015; Reutebuch et al, 2003), were successfully used to delineate paleochannels within the Welsh River catchment (Jones et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…Bhattacharyya et al, 2015; Ninfo et al, 2016). For example, high-resolution LiDAR DEM data with a spatial resolution of 1 m or less, and vertical accuracy of 0.15–0.25 m (Liu et al, 2015; Reutebuch et al, 2003), were successfully used to delineate paleochannels within the Welsh River catchment (Jones et al, 2007).…”
Section: Introductionmentioning
confidence: 99%
“…Finally, again using the SNHT method, the time series was homogenized, multiplying it with the ratio between the mean before and after shifting, produced by the breakpoint. [14]. The relationship of climatic variables with topographical parameters was assessed and the elevation has been found to be the most correlated factor [15].…”
Section: Methodsmentioning
confidence: 99%
“…Similarly, if the point A is higher than point B in a TIN-interpolated DEM, A is guaranteed to indeed be higher in the field. Isomorphism is important because it preserves the elevation order and sequence among terrain points (Liu et al, 2015). This is necessary for accuracy evaluation with interpolated LiDAR data.…”
Section: Accuracy Evaluationmentioning
confidence: 99%