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Feasibility of Remote Sensing Techniques for Detecting Soil Rutting Caused by Heavy-Machine Traffic During Timber Harvesting

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.108-108
  • 저자
    Jaewon Seo, Ikhyun Kim, Byoungkoo Choi
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A467140

원문정보

초록

영어
Mechanized timber harvesting operations often cause soil disturbance, such as compaction and rutting. The extent of soil disturbance is highly dependent on environmental factors and operation methods. As soil disturbance has a long-term impact on forest productivity, it is critical to assess its effects. The objective of this study was to investigate soil surface deformation caused by forest machinery traffic in a steep slope clear-cut area and to compare manual methods with remote sensing. Following the timber harvesting operation design, we established the experimental treatments representing the number and direction of forest machinery passes (1D, 1-downward; 1U, 1-upward; 3R, 3-round-trip; 5R, 5-round-trip). Soil rut depth and cross-section were manually measured using pinboard and estimated by mobile LiDAR system (MLS) and unmanned aerial vehicle structure from motion algorithm (UAV SfM). There was a significant difference in soil rut depth based on the number of passes (p = 0.00), while no significant difference based on the direction of passes. Rut depth in 1D (22.2cm) was significantly higher than 3R (15.7cm), with no significant differences among 1D, 1U (20.0cm), and 5R (19.6cm) or among 3R, 1U, and 5R. These findings suggest that most soil disturbance occurs during the initial passes of forest machinery. The comparison of pinboard and MLS data revealed a significant relationship (R2 = 0.74, slope = 1.00, p = 0.00). Comparing pinboard and UAV SfM data, we found that MLS is more accurate than UAV SfM in assessing soil surface deformation (R2 = 0.60, slope = 0.81, p = 0.00). The results reveal the need to establish optimized driving routes for forest machinery to minimize soil disturbance and suggest the potential of using MLS and UAV SfM for future soil disturbance assessments.

키워드

Soil disturbance Rut formation High-resolution digital model Temperate forest

저자

  • Jaewon Seo [ Department of Forestry and Environmental Systems, Kangwon National University ]
  • Ikhyun Kim [ Department of Forestry and Environmental Systems, Kangwon National University ]
  • Byoungkoo Choi [ Division of Forest Science, 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 2024 International Symposium of Institute of Forest Science

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