Journal of Environmental Science International (한국환경과학회지)

The Korean Environmental Sciences Society (한국환경과학회)
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Measurement of Tree Height and Diameter Using Terrestrial Laser Scanner in Coniferous Forests

지상 LiDAR를 활용한 침엽수림의 수고 및 흉고직경 측정

  • Ko, Byung-Jun (Department of Forestry, Jeonbuk National University) ;
  • Park, Se-Ik (Department of Forestry, Jeonbuk National University) ;
  • Park, Hee-Jung (Department of Forestry, Jeonbuk National University) ;
  • Lee, Sang-Hyun (Department of Forest Environment Science, Jeonbuk National University)
  • Received : 2022.04.02
  • Accepted : 2022.05.20
  • Published : 2022.06.30
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Abstract

This study was to evaluate the utilization of terrestrial light detection and ranging for forest inventory in coniferous forests. Heights and diameter of the stand trees were measured manually using the traditional measurement method and the method using terrestrial LiDAR. The results of two methods were compared and analyzed to evaluate accuracy and feasibility. The terrestrial LiDAR used fixed and handy types to compare the accuracy between different operational methods. Comparative analyses used a paired t-test and Bland-Altman plot analysis. In the case of tree heights, the average of difference between the traditional method and terrestrial LiDAR for each plot was 0.81 m, -0.07 m, and 0.13 m for fixed type; 2.88 m, 1.19 m, and 0.93 m for the handy type. In the case of tree diameter at breast height, the average value of the difference between traditional methods and terrestrial LiDAR for each plot was 0.13 cm, -0.66 cm, and -0.03 cm for fixed type; 2.36 cm, 2.13 cm, and 1.92 cm for the handy type. The values from the method using the fixed type was highly consistent with that using the traditional measurement methods; the average difference was closer to zero. The crown density influences the precision of the height measurement using terrestrial LiDAR in coniferous forests. Therefore, future studies should focus on verifying the accuracy of terrestrial LiDAR in forests and on expanding the utilization of terrestrial LiDARs according to their operational methods.

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References

  1. Bland, J. M., Altman, D. G., 1986, Statistical methods for assessing agreement between two methods of clinical measurement, The Lancet, 327(8476), 307-310. https://doi.org/10.1016/S0140-6736(86)90837-8
  2. Cho, H. G., Kim, J. C., Chung, I. B., Lee, G. R., Shin, J. Y., Lim, J. S., 2017, (7th) Guidebook for national forest inventory and forest health monitoring, Korea Forestry Promotion Institute, Seoul, South Korea, 36-53.
  3. Kim, H. W., Park, C. S., Min, W., 2018, Paired t-test based on robustified statistics, The Korean Institute of Industrial Engineers, 2019(11), 2347-2353.
  4. Lefsky, M. A., Cohen, W. B., Parker, G. G., Harding, D. J., 2002, Lidar remote sensing for ecosystem studies: Lidar, an emerging remote sensing technology that directly measures the three-dimensional distribution of plant canopies, can accurately estimate vegetation structural attributes and should be of particular interest to forest, landscape, and global ecologists, BioScience, 52, 19-30. https://doi.org/10.1641/0006-3568(2002)052[0019:LRSFES]2.0.CO;2
  5. Linjiayi, 2019, A Study on the estimation for stand tree volume each part by terrestrial LiDAR measurement, Master's Dissertation, Seoul National University, Seoul, Republic of Korea.
  6. Seo, J. P., Lee, C. W., Kim, D. Y., Woo, C. S., 2016, Estimating of annual sediment yield at mountain stream in fire/landslide damaged forest by using terrestrial LiDAR spatial analysis, Journal of disaster prevention, 16(6), 219-227.
  7. Seol, A., Chung, J. S., Won, H. K., Lee, Y. J., Kim, S. Y., Choi, J. K., Kee, T. Y., Yu, J. W., 2013, Estimation of standard costing for forest inventory survey, Korean Forest Society, 2013, 780-782.
  8. Yim, J. S., Kim, E. S., Kim, C. M., Son, Y. M.., 2015, Assessment on forest resources change using permanent plot data in national forest inventory, J. Korean For. Soc., 104(2), 239-247. https://doi.org/10.14578/JKFS.2015.104.2.239
  9. Yun, H. C., Lee, J. S., 2018, Accuracy evaluation and analysis of SLAM for the advancement of forest investigation, Journal of the Korea Academia-Industrial cooperation Society, 19(12), 734-739.