All Issue

2020 Vol.7, Issue 2 Preview Page

Original Article

Introduction and Application of 3D Terrestrial Laser Scanning for Estimating Physical Structurers of Vegetation in the Channel

하도 내 식생의 물리적 구조를 산정하기 위한 3차원 지상 레이저 스캐닝의 도입 및 활용

Eun-kyung Jang1
,
Myeonghui Ahn2
,
Un Ji34*
장 은경1
,
안 명희2
,
지 운34*
1Research Specialist, Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Korea
2Budding Researcher, Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Korea
3Research Fellow, Department of Land, Water and Environment Research, Korea Institute of Civil Engineering and Building Technology, Goyang 10223, Korea
4Associate Professor, Department of Civil and Environmental Engineering, Korea University of Science and Technology, Goyang 10223, Korea
1한국건설기술연구원 국토보전연구본부 전임연구원
2한국건설기술연구원 국토보전연구본부 신진연구원
3한국건설기술연구원 국토보전연구본부 연구위원
4과학기술연합대학원대학교 건설환경공학 부교수
* Corresponding Author
30 June 2020. pp. 90-96
PDF XML Citation
Abstract

Recently, a method that applies laser scanning (LS) that acquires vegetation information such as the vegetation habitat area and the size of vegetation in a point cloud format has been proposed. When LS is used to investigate the physical shape of vegetation, it has the advantage of more accurate and rapid information acquisition. However, to examine uncertainties that may arise during measurement or post-processing, the process of adjusting the data by the actual data is necessary. Therefore, in this study, the physical structure of stems, branches, and leaves of woody vegetation in an artificially formed river channel was manually investigated. The obtained results then compared with the information acquired using the three-dimensional terrestrial laser scanning (3D TLS) method, which repeatedly scanned the target vegetation in various directions to obtain relevant information with improved precision. The analysis demonstrated a negligible difference between the measurements for the diameters of vegetation and the length of stems; however, in the case of branch length measurement, a relatively more significant difference was observed. It is because the implementation of point cloud information limits the precise differentiation between branches and leaves in the canopy area.

Keywords
3D terrestrial laser scan
Manual survey of vegetation
Physical structurers of vegetation
Point clouds

최근 식생이 분포하는 면적, 식생의 크기와 같은 형상 정보를 포인트 클라우드 형식의 3차원 형태로 획득할 수 있는 Laser Scanning (LS)을 활용하는 방법들이 제안되고 있다. 식생의 물리적 형상 구현을 위해 LS를 활용할 경우, 식생 정보를 보다 정밀하고 빠르게 취득할 수 있다는 장점이 있으나 측정 혹은 후처리 과정에서 발생할 수 있는 불확실성을 검토하기 위해 실제 데이터와 비교하여 보정하는 과정이 반드시 요구된다. 따라서 본 연구에서는 인공적으로 조성된 하천 수로 내 목본 식생의 줄기, 가지, 잎의 물리적 구조에 대한 매뉴얼 조사를 수행하고 이를 3차원 Terrestrial Laser Scanning (TLS)에 의해 획득한 정보와 비교하였다. 또한, 목표 식생에 대한 3차원 TLS는 여러 방향에서 반복적으로 스캐닝을 수행하여 획득되는 식생 정보의 정밀도를 향상하고자 하였다. 분석 결과, 식생의 직경과 줄기의 길이는 두 방법의 결과가 큰 차이가 없으나 가지의 길이를 측정할 경우, 포인트 클라우드 정보로는 캐노피 영역에서 가지와 잎의 정확한 구별이 어렵다는 한계점으로 상대적으로 큰 차이가 있는 것으로 나타났다.

키워드
3차원 지상 레이저 스캔
매뉴얼 식생 조사
식생의 물리적 구조
포인트 클라우드
References
1
Aberle, J. and Järvelä, J. 2013. Flow resistance of emergent rigid and flexible floodplain vegetation. Journal of Hydraulic Research 51(1): 33-45.
10.1080/00221686.2012.754795
2
Brodu, N. and Lague, D. 2012. 3D terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: Applications in geomorphology. ISPRS Journal of Photogrammetry and Remote Sensing 68: 121-134.
10.1016/j.isprsjprs.2012.01.006
3
Jalonen, J., Järvelä, J., Virtanen, J.P., Vaaja, M., Kurkela, M., and Hyyppä, H. 2015. Determining characteristic vegetation areas by terrestrial laser scanning for floodplain flow modeling. Water 7(2): 420-437.
10.3390/w7020420
4
Jin, S.N. and Cho, K.H. 2016. Expansion of riparian vegetation due to change of flood regime in the Cheongmi-cheon Stream, Korea. Ecology and Resilient Infrastructure, 3(4): 322-326.
10.17820/eri.2016.3.4.322
5
Kim, H.S., Park, M.H., and Woo, H.S. 2014. Numerical experiments of vegetation growth effects on bed change patterns. Ecology and Resilient Infrastructure, 1(2): 68-81.
10.17820/eri.2014.1.2.068
6
Leica 2018. Leica RTC360 3D Reality Capture Solution. Leica Geosystems AG.
7
Luhar, M. and Nepf, H.M. 2013. From the blade scale to the reach scale: A characterization of aquatic vegetative drag. Advances in Water Resources, 51: 305-316.
10.1016/j.advwatres.2012.02.002
8
Wu, D., Phinn, S., Johansen, K., Robson, A., Muir, J., and Searle, C. 2018. Estimating changes in leaf area, leaf area density, and vertical leaf area profile for mango, avocado, and macadamia tree crowns using terrestrial laser scanning. Remote Sensing 10(11): 1750.
10.3390/rs10111750
Information
  • Publisher :Korean Society of Ecology and Infrastructure Engineering
  • Publisher(Ko) :응용생태공학회
  • Journal Title :Ecology and Resilient Infrastructure
  • Journal Title(Ko) :응용생태공학회 논문집
  • Volume : 7
  • No :2
  • Pages :90-96
  • Received Date : 2020-02-07
  • Revised Date : 2020-03-30
  • Accepted Date : 2020-05-07
  • DOI :https://doi.org/10.17820/eri.2020.7.2.090
Journal Informaiton Ecology and Resilient Infrastructure Ecology and Resilient Infrastructure
  • NRF
  • KISTI Current Status
  • KISTI Cited-by
  • crosscheck
  • orcid
  • open access
  • ccl
Journal Informaiton Journal Informaiton - close