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A Study on the Comparison of Tree Dimensions based on Field and LiDAR Measurements - For Quercus myrsinifolia -

첫 페이지 보기
  • 발행기관
    강원대학교 산림과학연구소 바로가기
  • 간행물
    강원대학교 산림과학연구소 학술대회 바로가기
  • 통권
    2024 International Symposium of Institute of Forest Science (2024.10)바로가기
  • 페이지
    pp.110-110
  • 저자
    Min-Seok Shim, Hye-Mi Park, Hyun-Kil Jo
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A467142

원문정보

초록

영어
Urban trees are increasingly recognized as a source of carbon uptake in net-zero initiatives globally. To accurately estimate the carbon reduction of urban trees, it is essential to obtain both carbon uptake coefficients and comprehensive inventory data. The tree inventory includes tree species, stem diameter, tree height, crown width, stem volume, and crown volume. Traditionally, urban tree inventories have relied on field surveys; however, this approach necessitates considerable labor and financial investment. In this study, we conducted a comparative analysis of urban tree dimensions utilizing various measurement methods, specifically focusing on LiDAR, which has recently emerged as an innovative technique for urban tree inventory. A total of ten sample trees were selected, and their dimensions were measured using both field equipment and LiDAR. The measured variables were statistically evaluated for differences between methods using paired t-test. The results indicated that there were no statistically significant differences in stem diameter, tree height, and stem volume between the two measurement methods (p> 0.05). However, crown width and crown volume exhibited significant differences, with variations of up to 1.5 times and 6.0 times, respectively (p< 0.05). Overall, the tree dimensions obtained through LiDAR in this study were generally consistent with those measured in the field, except for crown width and crown volume. LiDAR will be useful in the future as a way to inventory urban trees. Nonetheless, it is important to note that LiDAR is constrained by the substantial volume of data generated and the time required for tree classification. Future advancements in data processing technology will be essential to enhance the utility of LiDAR in urban greenspaces.

키워드

Tree inventory Carbon uptake Survey Urban greenspace Crown volume

저자

  • Min-Seok Shim [ Department of Landscape Architecture, Graduate School, Kangwon National University ]
  • Hye-Mi Park [ Department of Ecological Landscape Architecture Design, Kangwon National University ] Corresponding Author
  • Hyun-Kil Jo [ Department of Ecological Landscape Architecture Design, Kangwon National University ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    강원대학교 산림과학연구소 [Institute of Forest Science Kangwon National University]
  • 설립연도
    1975
  • 분야
    농수해양>임학
  • 소개
    강원대학교부설산림과학연구소(이하 “연구소”라 한다)는 산림에 관한 제반 학술적 연구를 통하여 산림자원의 효용을 밝히고 임업 및 임산업의 발전에 기여함을 목적으로 한다.

간행물

  • 간행물명
    강원대학교 산림과학연구소 학술대회
  • 간기
    부정기
  • 수록기간
    2017~2024
  • 십진분류
    KDC 526 DDC 634

이 권호 내 다른 논문 / 강원대학교 산림과학연구소 학술대회 2024 International Symposium of Institute of Forest Science

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