다중시기 항공 LiDAR를 활용한 도시림 개체목 수고생장분석 = Analysis of the Individual Tree Growth for Urban Forest using Multi-temporal airborne LiDAR dataset

다국어 초록 (Multilingual Abstract)

It is important to measure the height of trees as an essential element for assessing the forest health in urban areas. Therefore, an automated method that can measure the height of individual tree as a three-dimensional forest information is needed in an extensive and dense forest. Since airborne LiDAR dataset is easy to analyze the tree height(z-coordinate) of forests, studies on individual tree height measurement could be performed as an assessment forest health. Especially in urban forests, that adversely affected by habitat fragmentation and isolation. So this study was analyzed to measure the height of individual trees for assessing the urban forests health, Furthermore to identify environmental factors that affect forest growth. The survey was conducted in the Mt. Bongseo located in Seobuk-gu.
Cheonan-si(Middle Chungcheong Province). We segment the individual trees on coniferous by automatic method using the airborne LiDAR dataset of the two periods (year of 2016 and 2017) and to find out individual tree growth. Segmentation of individual trees was performed by using the watershed algorithm and the local maximum, and the tree growth was determined by the difference of the tree height according to the two periods. After we clarify the relationship between the environmental factors affecting the tree growth. The tree growth of Mt. Bongseo was about 20cm for a year, and it was analyzed to be lower than 23.9cm/year of the growth of the dominant species, Pinus rigida. This may have an adverse effect on the growth of isolated urban forests. It also determined different trees growth according to age, diameter and density class in the stock map, effective soil depth and drainage grade in the soil map. There was a statistically significant positive correlation between the distance to the road and the solar radiation as an environmental factor affecting the tree growth. Since there is less correlation, it is necessary to determine other influencing factors affecting tree growth in urban forests besides anthropogenic influences. This study is the first data for the analysis of segmentation and the growth of the individual tree, and it can be used as a scientific data of the urban forest health assessment and management.

참고문헌 (Reference)

1 최재용, "항공영상을 활용한 도로개발 전·후 산림 훼손지 개체목 분석" 한국환경복원기술학회 21 (21): 65-73, 2018

2 조우석, "항공사진과 항공레이저 데이터를 이용한 건물 자동추출" 대한원격탐사학회 19 (19): 307-317, 2003

3 김두용, "항공라이다 자료를 활용한 수목의 개체수 및 수고 추출" 한국국토정보공사 46 (46): 87-100, 2016

4 우충식, "항공 Lidar 데이터를 이용한 산림지역의 개체목 자동 인식 및 수고 추출" 한국산림과학회 96 (96): 251-258, 2007

5 장안진, "컬러항공사진과 LiDAR 데이터를 이용한 수목 개체 및 수고 추정" 대한원격탐사학회 22 (22): 543-551, 2006

6 박석곤, "전남 사찰림에서의 소나무 생육과 입지환경간의 상관관계 연구" 한국환경생태학회 31 (31): 409-419, 2017

7 성웅기, "시공간 위성영상 융합기법을 활용한 도시 산림임연부 인접 토지피복 유형별 식생 활력도 차이 분석" 한국환경영향평가학회 27 (27): 279-290, 2018

8 National Institute of Forest Science, "pitch pine(Pinus rigida) management plan" 2007

9 Vincent, L., "Watersheds in digital spaces: an ecient algorithm based on immersion simulations" 13 (13): 583-598, 1991

10 Kim. D. Y., "Utilizing Airborne LiDAR to extract forest information" ChonBuK National University 2010

11 National Institute of Forest Science, "Timber Biomass and Forest Harvest Report" 2016

12 Hopkinson, C, "The uncertainty in conifer plantation growth prediction from multi-temporal LiDAR datasets" 112 (112): 1168-1180, 2008

13 Vepakomma, U, "Spatially explicit characterization of boreal forest gap dynamics using multi-temporal LiDAR data" 112 (112): 2326-2340, 2008

14 Nelson, R. F, "Separating the ground and airborne laser sampling phases to estimate tropical forest basal area, volume, and biomass" 60 (60): 311-326, 1997

15 Vepakomma, U, "Response of a boreal forest to canopy opening: Assessing vertical and lateral tree growth with multi-temporal LiDAR data" 21 (21): 99-121, 2011

16 Park, G. C., "Relation of the physico-chemical properties of forest soil to site indices of Pinus koraiensis, Larix leptolepis, Pinus densiflora and Pinus densiflora for. erecta stands" Gyeongsang Univ 1993

17 Palenichka, R, "Multi-scale segmentation of forest areas and tree detection in LiDAR images by the attentive vision method" 6 (6): 1313-1323, 2013

18 Zhao, K, "LiDAR-based mapping of leaf area index and its use for validating GLOBCARBONsatellite LAI product in a temperate forest of the southern USA" 113 (113): 1628-1645, 2009

19 Ayrey, E, "Layer Stacking: A Novel Algorithm for Individual Forest Tree Segmentation from LiDAR Point Clouds" 43 (43): 16-27, 2017

20 Chen, Q, "Isolating individual trees in a savanna woodland using smallfootprint LiDAR data" 72 (72): 923-932, 2006

21 Lee, C. H, "Growth and Photosynthetic rate of Pinus koraiensis and Pinus rigida in Banwol Industrial Region" 23 (23): 19-25, 2004

22 Choi, H. J., "Estimation of the Urban Forest Growth Using Multi-temporal LiDAR Dataset" Seoul National University 2018

23 Mahoney, C, "Estimating Canopy Gap Fraction Using ICESat GLAS within Australian Forest Ecosystems" 9 (9): 59-, 2017

24 Ma, Q, "Comparison of Canopy Cover Estimations From Airborne LiDAR, Aerial Imagery, and Satellite Imagery" 10 (10): 4225-4236, 2017

25 Norman, J. M., "Canopy structure"

26 Clark, N. E, "Biodiversity, cultural pathways, and human health: a framework" 29 (29): 198-204, 2014

27 Lefsky, M. A, "An evaluation of alternate remote sensing products for forest inventory, monitoring, and mapping of Douglas-fir forests in western Oregon" 31 (31): 78-87, 2002

28 Korhonen, L, "Airborne discrete-return LiDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index" 115 (115): 1065-1080, 2011

29 Beven, K. J, "A physically based variable contributing area model of basin hydrology" 24 (24): 43-69, 1979

30 Kim, D. Y, "A Study on Forest Information Extraction using Airborne LiDAR Data. Korean Society of Civil Engineers Conference" 46 (46): 87-100, 2009

31 Kim, H. S., "A Study for the Comparison about the Growth Amountof Principal Kinds of Trees between the Urban Forest and the Natural Forest" Seoul university 2003