SIMULATING VARIOUS TERRESTRIAL and UAV LIDAR SCANNING CONFIGURATIONS for UNDERSTORY FOREST STRUCTURE MODELLING

M. Hämmerle, N. Lukač, K. C. Chen, Z. S. Koma, Chi-Kuei Wang, K. Anders, B. Höfle

研究成果: Conference article

4 引文 (Scopus)

摘要

Information about the 3D structure of understory vegetation is of high relevance in forestry research and management (e.g., for complete biomass estimations). However, it has been hardly investigated systematically with state-of-the-art methods such as static terrestrial laser scanning (TLS) or laser scanning from unmanned aerial vehicle platforms (ULS). A prominent challenge for scanning forests is posed by occlusion, calling for proper TLS scan position or ULS flight line configurations in order to achieve an accurate representation of understory vegetation. The aim of our study is to examine the effect of TLS or ULS scanning strategies on (1) the height of individual understory trees and (2) understory canopy height raster models. We simulate full-waveform TLS and ULS point clouds of a virtual forest plot captured from various combinations of max. 12 TLS scan positions or 3 ULS flight lines. The accuracy of the respective datasets is evaluated with reference values given by the virtually scanned 3D triangle mesh tree models. TLS tree height underestimations range up to 1.84 m (15.30 % of tree height) for single TLS scan positions, but combining three scan positions reduces the underestimation to maximum 0.31 m (2.41 %). Combining ULS flight lines also results in improved tree height representation, with a maximum underestimation of 0.24 m (2.15 %). The presented simulation approach offers a complementary source of information for efficient planning of field campaigns aiming at understory vegetation modelling.

原文English
頁(從 - 到)59-65
頁數7
期刊ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
4
發行號2W4
DOIs
出版狀態Published - 2017 九月 12
事件ISPRS Geospatial Week 2017 - Wuhan, China
持續時間: 2017 九月 182017 九月 22

指紋

Optical radar
Unmanned aerial vehicles (UAV)
optical radar
lidar
understory
laser
Scanning
scanning
configurations
Lasers
modeling
lasers
vegetation
flight
raster
pilotless aircraft
canopies
occlusion
Forestry
biomass

All Science Journal Classification (ASJC) codes

  • Earth and Planetary Sciences (miscellaneous)
  • Environmental Science (miscellaneous)
  • Instrumentation

引用此文

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abstract = "Information about the 3D structure of understory vegetation is of high relevance in forestry research and management (e.g., for complete biomass estimations). However, it has been hardly investigated systematically with state-of-the-art methods such as static terrestrial laser scanning (TLS) or laser scanning from unmanned aerial vehicle platforms (ULS). A prominent challenge for scanning forests is posed by occlusion, calling for proper TLS scan position or ULS flight line configurations in order to achieve an accurate representation of understory vegetation. The aim of our study is to examine the effect of TLS or ULS scanning strategies on (1) the height of individual understory trees and (2) understory canopy height raster models. We simulate full-waveform TLS and ULS point clouds of a virtual forest plot captured from various combinations of max. 12 TLS scan positions or 3 ULS flight lines. The accuracy of the respective datasets is evaluated with reference values given by the virtually scanned 3D triangle mesh tree models. TLS tree height underestimations range up to 1.84 m (15.30 {\%} of tree height) for single TLS scan positions, but combining three scan positions reduces the underestimation to maximum 0.31 m (2.41 {\%}). Combining ULS flight lines also results in improved tree height representation, with a maximum underestimation of 0.24 m (2.15 {\%}). The presented simulation approach offers a complementary source of information for efficient planning of field campaigns aiming at understory vegetation modelling.",
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SIMULATING VARIOUS TERRESTRIAL and UAV LIDAR SCANNING CONFIGURATIONS for UNDERSTORY FOREST STRUCTURE MODELLING. / Hämmerle, M.; Lukač, N.; Chen, K. C.; Koma, Z. S.; Wang, Chi-Kuei; Anders, K.; Höfle, B.

於: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 卷 4, 編號 2W4, 12.09.2017, p. 59-65.

研究成果: Conference article

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T1 - SIMULATING VARIOUS TERRESTRIAL and UAV LIDAR SCANNING CONFIGURATIONS for UNDERSTORY FOREST STRUCTURE MODELLING

AU - Hämmerle, M.

AU - Lukač, N.

AU - Chen, K. C.

AU - Koma, Z. S.

AU - Wang, Chi-Kuei

AU - Anders, K.

AU - Höfle, B.

PY - 2017/9/12

Y1 - 2017/9/12

N2 - Information about the 3D structure of understory vegetation is of high relevance in forestry research and management (e.g., for complete biomass estimations). However, it has been hardly investigated systematically with state-of-the-art methods such as static terrestrial laser scanning (TLS) or laser scanning from unmanned aerial vehicle platforms (ULS). A prominent challenge for scanning forests is posed by occlusion, calling for proper TLS scan position or ULS flight line configurations in order to achieve an accurate representation of understory vegetation. The aim of our study is to examine the effect of TLS or ULS scanning strategies on (1) the height of individual understory trees and (2) understory canopy height raster models. We simulate full-waveform TLS and ULS point clouds of a virtual forest plot captured from various combinations of max. 12 TLS scan positions or 3 ULS flight lines. The accuracy of the respective datasets is evaluated with reference values given by the virtually scanned 3D triangle mesh tree models. TLS tree height underestimations range up to 1.84 m (15.30 % of tree height) for single TLS scan positions, but combining three scan positions reduces the underestimation to maximum 0.31 m (2.41 %). Combining ULS flight lines also results in improved tree height representation, with a maximum underestimation of 0.24 m (2.15 %). The presented simulation approach offers a complementary source of information for efficient planning of field campaigns aiming at understory vegetation modelling.

AB - Information about the 3D structure of understory vegetation is of high relevance in forestry research and management (e.g., for complete biomass estimations). However, it has been hardly investigated systematically with state-of-the-art methods such as static terrestrial laser scanning (TLS) or laser scanning from unmanned aerial vehicle platforms (ULS). A prominent challenge for scanning forests is posed by occlusion, calling for proper TLS scan position or ULS flight line configurations in order to achieve an accurate representation of understory vegetation. The aim of our study is to examine the effect of TLS or ULS scanning strategies on (1) the height of individual understory trees and (2) understory canopy height raster models. We simulate full-waveform TLS and ULS point clouds of a virtual forest plot captured from various combinations of max. 12 TLS scan positions or 3 ULS flight lines. The accuracy of the respective datasets is evaluated with reference values given by the virtually scanned 3D triangle mesh tree models. TLS tree height underestimations range up to 1.84 m (15.30 % of tree height) for single TLS scan positions, but combining three scan positions reduces the underestimation to maximum 0.31 m (2.41 %). Combining ULS flight lines also results in improved tree height representation, with a maximum underestimation of 0.24 m (2.15 %). The presented simulation approach offers a complementary source of information for efficient planning of field campaigns aiming at understory vegetation modelling.

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