Journal of the Korean Society of Environmental Restoration Technology (한국환경복원기술학회지)

The Korea Society of Environmental Restoration Technology (한국환경복원기술학회)
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Analysis of the Individual Tree Growth for Urban Forest using Multi-temporal airborne LiDAR dataset

다중시기 항공 LiDAR를 활용한 도시림 개체목 수고생장분석

  • Kim, Seoung-Yeal (Dept. of Green & Landscape Architecture, Dankook University) ;
  • Kim, Whee-Moon (Dept. of Green & Landscape Architecture, Dankook University) ;
  • Song, Won-Kyong (Dept. of Green & Landscape Architecture, Dankook University) ;
  • Choi, Young-Eun (Department of Environment & Forest Resources, Chungnam National University) ;
  • Choi, Jae-Yong (Department of Environment & Forest Resources, Chungnam National University) ;
  • Moon, Guen-Soo (Samah-Amah Aerial Survey)
  • 김성열 (단국대학교 생명자원과학과) ;
  • 김휘문 (단국대학교 생명자원과학과) ;
  • 송원경 (단국대학교 생명자원과학과) ;
  • 최영은 (충남대학교 산림환경자원학과) ;
  • 최재용 (충남대학교 산림환경자원학과) ;
  • 문건수 (삼아항업(주))
  • Received : 2019.07.17
  • Accepted : 2019.10.22
  • Published : 2019.10.31
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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.

Keywords

References

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