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Accuracy of digital elevation models derived from terrestrial laser scanning data

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Accuracy of digital elevation models derived from terrestrial laser scanning data. / Fan, Lei; Atkinson, Peter Michael.
In: IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 9, 09.2015, p. 1923-1927.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Fan, L & Atkinson, PM 2015, 'Accuracy of digital elevation models derived from terrestrial laser scanning data', IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 9, pp. 1923-1927. https://doi.org/10.1109/LGRS.2015.2438394

APA

Vancouver

Fan L, Atkinson PM. Accuracy of digital elevation models derived from terrestrial laser scanning data. IEEE Geoscience and Remote Sensing Letters. 2015 Sept;12(9):1923-1927. Epub 2015 Jun 18. doi: 10.1109/LGRS.2015.2438394

Author

Fan, Lei ; Atkinson, Peter Michael. / Accuracy of digital elevation models derived from terrestrial laser scanning data. In: IEEE Geoscience and Remote Sensing Letters. 2015 ; Vol. 12, No. 9. pp. 1923-1927.

Bibtex

@article{bc402a16caf04a0e90fd9d3c7141d8e3,
title = "Accuracy of digital elevation models derived from terrestrial laser scanning data",
abstract = "Terrestrial laser scanning (TLS) has become a popular tool for acquiring source data points which can be used to construct digital elevation models (DEMs) for a wide number of applications. A TLS point cloud often has a very fine spatial resolution, which can represent well the spatial variation of a terrain surface. However, the uncertainty in DEMs created from this relatively new type of source data is not well understood, which forms the focus of this letter. TLS survey data representing four terrain surfaces of different characteristics were used to explore the effects of surface complexity and typical TLS data density (in terms of data point spacing) on DEM accuracy. The spatial variation in TLS data can be decomposed into parts corresponding to the signal of spatial variation (of terrain surfaces) and noise due to measurement error. We found a linear relation between the DEM error and the typical TLS data spacings considered (30-100 mm) which arises as a function of the interpolation error, and a constant contribution from the propagated data noise. This letter quantifies these components for each of the four surfaces considered and shows that, for the interpolation method considered here, higher density sampling would not be beneficial.",
author = "Lei Fan and Atkinson, {Peter Michael}",
year = "2015",
month = sep,
doi = "10.1109/LGRS.2015.2438394",
language = "English",
volume = "12",
pages = "1923--1927",
journal = "IEEE Geoscience and Remote Sensing Letters",
issn = "1545-598X",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "9",

}

RIS

TY - JOUR

T1 - Accuracy of digital elevation models derived from terrestrial laser scanning data

AU - Fan, Lei

AU - Atkinson, Peter Michael

PY - 2015/9

Y1 - 2015/9

N2 - Terrestrial laser scanning (TLS) has become a popular tool for acquiring source data points which can be used to construct digital elevation models (DEMs) for a wide number of applications. A TLS point cloud often has a very fine spatial resolution, which can represent well the spatial variation of a terrain surface. However, the uncertainty in DEMs created from this relatively new type of source data is not well understood, which forms the focus of this letter. TLS survey data representing four terrain surfaces of different characteristics were used to explore the effects of surface complexity and typical TLS data density (in terms of data point spacing) on DEM accuracy. The spatial variation in TLS data can be decomposed into parts corresponding to the signal of spatial variation (of terrain surfaces) and noise due to measurement error. We found a linear relation between the DEM error and the typical TLS data spacings considered (30-100 mm) which arises as a function of the interpolation error, and a constant contribution from the propagated data noise. This letter quantifies these components for each of the four surfaces considered and shows that, for the interpolation method considered here, higher density sampling would not be beneficial.

AB - Terrestrial laser scanning (TLS) has become a popular tool for acquiring source data points which can be used to construct digital elevation models (DEMs) for a wide number of applications. A TLS point cloud often has a very fine spatial resolution, which can represent well the spatial variation of a terrain surface. However, the uncertainty in DEMs created from this relatively new type of source data is not well understood, which forms the focus of this letter. TLS survey data representing four terrain surfaces of different characteristics were used to explore the effects of surface complexity and typical TLS data density (in terms of data point spacing) on DEM accuracy. The spatial variation in TLS data can be decomposed into parts corresponding to the signal of spatial variation (of terrain surfaces) and noise due to measurement error. We found a linear relation between the DEM error and the typical TLS data spacings considered (30-100 mm) which arises as a function of the interpolation error, and a constant contribution from the propagated data noise. This letter quantifies these components for each of the four surfaces considered and shows that, for the interpolation method considered here, higher density sampling would not be beneficial.

U2 - 10.1109/LGRS.2015.2438394

DO - 10.1109/LGRS.2015.2438394

M3 - Journal article

VL - 12

SP - 1923

EP - 1927

JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

SN - 1545-598X

IS - 9

ER -