Accuracy assessment of LiDAR elevation data using survey marks

Article


Liu, Xiaoye. 2011. "Accuracy assessment of LiDAR elevation data using survey marks." Survey Review. 43 (319), pp. 80-93. https://doi.org/10.1179/003962611X12894696204704
Article Title

Accuracy assessment of LiDAR elevation data using survey marks

ERA Journal ID4384
Article CategoryArticle
Authors
AuthorLiu, Xiaoye
Journal TitleSurvey Review
Journal Citation43 (319), pp. 80-93
Number of Pages14
Year2011
Place of PublicationUnited States
ISSN0039-6265
1752-2706
Digital Object Identifier (DOI)https://doi.org/10.1179/003962611X12894696204704
Web Address (URL)https://www.tandfonline.com/doi/abs/10.1179/003962611X12894696204704
Abstract

Airborne LiDAR has become the preferred technology for digital elevation data acquisition in a wide range of applications. The vertical accuracy with respect to a specified vertical datum is the principal criterion in specifying the quality of LiDAR elevation data. The quantitative assessment of LiDAR elevation data is usually conducted by comparing high-accuracy checkpoints with elevations estimated from the LiDAR ground data. However, the collection of a sufficient number of checkpoints by field surveying is a time-consuming task. This study used survey marks to assess the vertical accuracy of LiDAR data for different land covers in a rural area and explored the performance of different methods for deriving elevations from LiDAR data corresponding to the locations of heckpoints. Normality tests using both frequency histograms and quantile-quantile plots were performed for vertical differences between the LiDAR data and the checkpoints, so the appropriate measures (the formula 1.96×RMSE or the 95th percentile) can be used for the vertical accuracy ssessment of the LiDAR data for different land covers. The results demonstrated the suitability of using survey marks as checkpoints for the assessment of the vertical accuracy of LiDAR data.

KeywordsLiDAR; airborne laser scanning; digital elevation model; survey mark; accuracy assessment
ANZSRC Field of Research 2020401302. Geospatial information systems and geospatial data modelling
401304. Photogrammetry and remote sensing
510202. Lasers and quantum electronics
Public Notes

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Byline AffiliationsAustralian Centre for Sustainable Catchments
Institution of OriginUniversity of Southern Queensland
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