참고문헌 (9)

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. 

   상세보기

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. 

   상세보기

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. 

   원문보기 상세보기

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. 

저자의 다른 논문 :

이상현 (6)