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Forest inventory assessment using integrated LiDAR systems : Merged points cloud of airborne and mobile laser scanning systems

첫 페이지 보기
  • 발행기관
    강원대학교 산림과학연구소 바로가기
  • 간행물
    강원대학교 산림과학연구소 학술대회 바로가기
  • 통권
    2022 International symposium of Institute of Forest Science for the 40th Anniversary of College of Forest and Environment Science (2022.10)바로가기
  • 페이지
    pp.140-140
  • 저자
    Yongkyu Lee, Heesung Woo, Jungsoo Lee
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A450508

원문정보

초록

영어
The precision level of forest inventory assessment is a key factor in the forest industry to optimize timber value and forest management planning. Light Detection and Ranging (LiDAR) application in forestry has recently introduced an effective tool to estimate and monitor the precision level of forest inventory. This research investigates the opportunities and limitations of integrated MLS and ALS LiDAR application in estimating individual tree DBH and tree height. The three circular fitting algorithms(integrated RANSAC and circle fitting , minimum enclosing circle, least squares Ellipse fitting) were used to estimate the DBH. In addition, the height was calculated by the Crown Height Model (CHM). The result of DBH estimation was the most accurate in Ellipse fitting algorithm. To compare previous circular fitting applications, integrated MLS and ALS had better performance estimating tree DBH. Lastly, the estimated tree height using CHM was compared with the ground truth, and R2, RMSE of height are 0.60, 2.0 m. Also, the trends of less accuracy in small trees were identified in PCDs extraction at the detect of tree top from the overlapped PCDs among the surrounded tall trees PCDs. This result indicated that small trees are limited to segment top of tree PCDs due to overlaps by tall trees in high dense forest structures. Also, taller trees have limited to capturing ground point due to the high dense of forest crown.

키워드

Airborne laser-scanning (ALS) Mobile laser-scanning (MLS) Precision forestry Forest inventory Remote sensing

저자

  • Yongkyu Lee [ Department of Forest Management, Kangwon National University, Chuncheon 24341, Republic of Korea ]
  • Heesung Woo [ College of Forest and Environmental Sciences, Kangwon National University, Chuncheon, 24341, Republic of Korea ]
  • Jungsoo Lee [ Department of Forest Management, Kangwon National University, Chuncheon 24341, Republic of Korea ] Corresponding Author

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 2022 International symposium of Institute of Forest Science for the 40th Anniversary of College of Forest and Environment Science

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