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Accuracy Assessment of DBH Measurements Obtained from iPhone LiDAR Scans Compared to Manual Measurements

원문정보

초록

영어
Accurate measurement of tree diameter at breast height (DBH) is crucial for forest management and biomass estimation. This study aimed to assess the accuracy of DBH measurements obtained using the LiDAR sensor on an iPhone through two different data collection methods: (1) walk-through scanning by walking past the trees and (2) walk-around scanning by walking around each tree. Manual measurements with a diameter tape served as the reference standard. Data were collected from three experimental plots in a teak plantation. The accuracy of each method was evaluated using mean absolute error (MAE), root mean square error (RMSE), and bias. Additionally, paired t-tests were conducted to determine the statistical differences between methods. The study also considered the time required for data collection to assess efficiency. Results indicated that the walk-around scanning method provided significantly higher accuracy compared to the walk-through method, although it required more time. These findings suggest that the walk-around iPhone LiDAR scanning approach is more suitable for applications requiring high precision in tree measurements, while the walk-through method could be used for rapid surveys when time efficiency is prioritized.

저자

  • Laddawan Rianthakool [ Department of Forest Engineering, Faculty of Forestry, Kasetsart University, Bangkok, Thailand ] Corresponding Author
  • Naraphon Khamhaeng [ Department of Forest Engineering, Faculty of Forestry, Kasetsart University, Bangkok, Thailand ]
  • Watcharin Sangsing [ Department of Forest Engineering, Faculty of Forestry, Kasetsart University, Bangkok, Thailand ]
  • Sitthichai Songbut [ Department of Forest Engineering, Faculty of Forestry, Kasetsart University, Bangkok, Thailand ]
  • Jirawat Yingdee [ Department of Forest Engineering, Faculty of Forestry, Kasetsart University, Bangkok, Thailand ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국산림공학회 학술대회
    • 간기
      연간
    • 수록기간
      2023~2025
    • 십진분류
      KDC 526 DDC 634