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The effect of short ground vegetation on terrestrial laser scans at a local scale

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The effect of short ground vegetation on terrestrial laser scans at a local scale. / Fan, Lei; Powrie, William; Smethurst, Joel A. et al.
In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 95, 09.2014, p. 42-52.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Fan, L, Powrie, W, Smethurst, JA, Atkinson, PM & Einstein, H 2014, 'The effect of short ground vegetation on terrestrial laser scans at a local scale', ISPRS Journal of Photogrammetry and Remote Sensing, vol. 95, pp. 42-52. https://doi.org/10.1016/j.isprsjprs.2014.06.003

APA

Fan, L., Powrie, W., Smethurst, J. A., Atkinson, P. M., & Einstein, H. (2014). The effect of short ground vegetation on terrestrial laser scans at a local scale. ISPRS Journal of Photogrammetry and Remote Sensing, 95, 42-52. https://doi.org/10.1016/j.isprsjprs.2014.06.003

Vancouver

Fan L, Powrie W, Smethurst JA, Atkinson PM, Einstein H. The effect of short ground vegetation on terrestrial laser scans at a local scale. ISPRS Journal of Photogrammetry and Remote Sensing. 2014 Sept;95:42-52. Epub 2014 Jun 28. doi: 10.1016/j.isprsjprs.2014.06.003

Author

Fan, Lei ; Powrie, William ; Smethurst, Joel A. et al. / The effect of short ground vegetation on terrestrial laser scans at a local scale. In: ISPRS Journal of Photogrammetry and Remote Sensing. 2014 ; Vol. 95. pp. 42-52.

Bibtex

@article{3dd905c341554e9083b27573b8039568,
title = "The effect of short ground vegetation on terrestrial laser scans at a local scale",
abstract = "Terrestrial laser scanning (TLS) can record a large amount of accurate topographical information with a high spatial accuracy over a relatively short period of time. These features suggest it is a useful tool for topographical survey and surface deformation detection. However, the use of TLS to survey a terrain surface is still challenging in the presence of dense ground vegetation. The bare ground surface may not be illuminated due to signal occlusion caused by vegetation. This paper investigates vegetation-induced elevation error in TLS surveys at a local scale and its spatial pattern. An open, relatively flat area vegetated with dense grass was surveyed repeatedly under several scan conditions. A total station was used to establish an accurate representation of the bare ground surface. Local-highest-point and local-lowest-point filters were applied to the point clouds acquired for deriving vegetation height and vegetation-induced elevation error, respectively. The effects of various factors (for example, vegetation height, edge effects, incidence angle, scan resolution and location) on the error caused by vegetation are discussed. The results are of use in the planning and interpretation of TLS surveys of vegetated areas.",
keywords = "Terrestrial laser scanning (TLS), Vegetation, Error, DEM/DTM, Point cloud , Resolution",
author = "Lei Fan and William Powrie and Smethurst, {Joel A.} and Atkinson, {Peter M.} and Herbert Einstein",
year = "2014",
month = sep,
doi = "10.1016/j.isprsjprs.2014.06.003",
language = "English",
volume = "95",
pages = "42--52",
journal = "ISPRS Journal of Photogrammetry and Remote Sensing",
issn = "0924-2716",
publisher = "Elsevier Science B.V.",

}

RIS

TY - JOUR

T1 - The effect of short ground vegetation on terrestrial laser scans at a local scale

AU - Fan, Lei

AU - Powrie, William

AU - Smethurst, Joel A.

AU - Atkinson, Peter M.

AU - Einstein, Herbert

PY - 2014/9

Y1 - 2014/9

N2 - Terrestrial laser scanning (TLS) can record a large amount of accurate topographical information with a high spatial accuracy over a relatively short period of time. These features suggest it is a useful tool for topographical survey and surface deformation detection. However, the use of TLS to survey a terrain surface is still challenging in the presence of dense ground vegetation. The bare ground surface may not be illuminated due to signal occlusion caused by vegetation. This paper investigates vegetation-induced elevation error in TLS surveys at a local scale and its spatial pattern. An open, relatively flat area vegetated with dense grass was surveyed repeatedly under several scan conditions. A total station was used to establish an accurate representation of the bare ground surface. Local-highest-point and local-lowest-point filters were applied to the point clouds acquired for deriving vegetation height and vegetation-induced elevation error, respectively. The effects of various factors (for example, vegetation height, edge effects, incidence angle, scan resolution and location) on the error caused by vegetation are discussed. The results are of use in the planning and interpretation of TLS surveys of vegetated areas.

AB - Terrestrial laser scanning (TLS) can record a large amount of accurate topographical information with a high spatial accuracy over a relatively short period of time. These features suggest it is a useful tool for topographical survey and surface deformation detection. However, the use of TLS to survey a terrain surface is still challenging in the presence of dense ground vegetation. The bare ground surface may not be illuminated due to signal occlusion caused by vegetation. This paper investigates vegetation-induced elevation error in TLS surveys at a local scale and its spatial pattern. An open, relatively flat area vegetated with dense grass was surveyed repeatedly under several scan conditions. A total station was used to establish an accurate representation of the bare ground surface. Local-highest-point and local-lowest-point filters were applied to the point clouds acquired for deriving vegetation height and vegetation-induced elevation error, respectively. The effects of various factors (for example, vegetation height, edge effects, incidence angle, scan resolution and location) on the error caused by vegetation are discussed. The results are of use in the planning and interpretation of TLS surveys of vegetated areas.

KW - Terrestrial laser scanning (TLS)

KW - Vegetation

KW - Error

KW - DEM/DTM

KW - Point cloud

KW - Resolution

U2 - 10.1016/j.isprsjprs.2014.06.003

DO - 10.1016/j.isprsjprs.2014.06.003

M3 - Journal article

VL - 95

SP - 42

EP - 52

JO - ISPRS Journal of Photogrammetry and Remote Sensing

JF - ISPRS Journal of Photogrammetry and Remote Sensing

SN - 0924-2716

ER -