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Permanent link (DOI): https://doi.org/10.7939/R3571821W

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Influence of vegetation, slope and LIDAR sampling angle on DEM accuracy Open Access

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Author or creator
Su, Jason
Bork, Edward W.
Additional contributors
Subject/Keyword
Laser
Forest
Elevation
Soil
Grassland
Height
Airborne Lidar
Topography
Type of item
Journal Article (Published)
Language
English
Place
Time
Description
Detailed GIS studies across spatially complex rangeland landscapes, including the Aspen Parkland of western Canada, require accurate digital elevation models (DEM). Following the interpolation of last return lidar (light detection and ranging) data into a DEM, a series of 256 reference plots, stratified by vegetation type, slope and lidar sensor sampling angle, were surveyed using a total laser station, differential GPS and 27 interconnected benchmarks to assess variation in DEM accuracy. Interpolation using Inverse Distance Weighting IDW resulted in lower mean error than other methods. Across the study area, overall signed error and RMSE were +0.02 m and 0.59 m, respectively. Signed errors indicated elevations were over-estimated in forest but under-estimated within meadow habitats. Increasing slope gradient increased vertical absolute errors and RMSE. In contrast, lidar sampling angle had little impact on measured error. These results have implications for the development and use of high-resolution DEM models derived from lidar data.
Date created
2006
DOI
doi:10.7939/R3571821W
License information
© 2006 Her Majesty the Queen in right of Canada. This version of this article is open access and can be downloaded and shared. The original author(s) and source must be cited.
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Citation for previous publication
Su, J., & Bork, E. W. (2006). Influence of vegetation, slope and LIDAR sampling angle on DEM accuracy. Photogrammetric Engineering and Remote Sensing, 72(11), 1265-1274.  http://dx.doi.org/10.14358/PERS.72.11.1265

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File format: pdf (PDF/A)
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File size: 319570
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File title: Influence of Vegetation, Slope, and Lidar Sampling Angle on DEM Accuracy
File author: Jason Su and Edward Bork
Page count: 10
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