1. Andersen, H.E, McGaughey, R, and Reutebuch, J (2004) Estimating forest canopy fuel parameters using LIDAR data.
Remote sensing of Environment, Vol. 94, No. 4, pp. 441-449.
2. Carleer, A.P, Debeir, O, and Wolff, E (2005) Assessment of very high spatial resolution satellite image segmentations.
Photogrammetric Engineering &Remote Sensing, Vol. 71, No. 11, pp. 1285-1294.
3. Chang, A.J, Yu, K.Y, Kim, Y.I, and Lee, B.K (2006) Estimation of individual tree and tree height using color aerial photograph and LiDAR data.
Korean Journal of Remote Sensing, Vol. 22, No. 6, pp. 543-551.
4. Chen, Q, Baldocchi, D, Gong, P, and Kelly, M (2006) Isolating individual trees in a savanna woodland using small foot print lidar data.
Photogrammetric Engineering &Remote Sensing, Vol. 72, pp. 923-932.
5. Cho, D.Y, and Kim, E.M (2010) Extraction of spatial information of tree using LIDAR data in urban area.
Journal of the korean society for geospatial information system, Vol. 18, No. 4, pp. 11-20.
6. Cruz, M.G, Alexander, M.E, and Wakimoto, R.H (2002) Predicting crown fire behavior to support forest fire management decision-making.
Forest Fire Research &Wildland Fire Safety, pp. 1-11.
7. Cruz, M.G, Alexander, M.E, and Wakimoto, R.H (2004) Modeling the likelihood of crown fire pccurrence in conifer forest stands.
Forest Science, Vol. 50, No. 5, pp. 640-658.
8. Cruz, M.G, Alexander, M.E, and Wakimoto, R.H (2005) Development and testing of models for predicting crown fire rate of spread in conifer forest stands.
Canadian Journal of Forest Research, Vol. 35, No. 7, pp. 1626-1639.
9. David, M (2010) The development and implementation of forest fire management decision support systems in otario, canada.
Forestry&Natural-Resource Sciences, Vol. 3, No. 1, pp. 18-26.
10. Diaz-Varela, R, Rosa, R.D.L, Leon, L, Zarco-Tejada, P.J, and Pablo, J (2015) High-resolution airborne UAV imagery to assess olive tree crown parameters using 3D photo reconstruction:Application in breeding trials.
Remote Sensing, Vol. 7, No. 4, pp. 4213-4232.
11. Diaz-Varela, R, Zarco-Tejada, P.J, Angileri, V, and Loudjani, P (2014) Automatic identification of agricultural terraces through object-oriented analysis of very high resolution dsms and multispectral imagery obtained from an unmanned aerial vehicle.
Journal of Environmental Management, Vol. 134, pp. 117-126.
12. Dimitrios, P, Azadeh, A, Peter, S, and Vasco, C (2016) Determining tree height and crown diameter from high-resolution UAV imagery.
International Journal of Remote sensing, Vol. 38, No. 8-10, pp. 2392-2410.
13. Edson, C, and Wing, M.G (2011) Airborne light detection and ranging (Lidar) for individual tree stem location, height, and biomass measurements.
Remote Sensing, Vol. 3, No. 11, pp. 2494-2528.
14. Fritz, A, Kattenborn, T, and Koch, B (2013) UAV-based photogrammetric point clouds—Tree stem mapping in open stands in comparison to terrestrial laser scanner point clouds.
Remote Sensing &Spatial Information Sciences, Vol. 40, pp. 141-146.
15. Gini, R.D, Passoni, L.P, and Sona, G (2014) Use of unmanned aerial systems for multispectral survey and tree classification:A test in a park area of northern italy.
European Journal of Remote Sensing, Vol. 47, No. 1, pp. 251-269.
16. Hussam, M, and Akshat, C (2018) Unraveling the complexity of wildland urban interface fires.
Scientiflc, Vol. 8, No. 1, pp. 9315-9327.
17. Hyyppa, J, Schardt, M, Haggren, H, Koch, B, Lohr, U, Scherrer, H.U, et al (2001) The first european-wide attempt to derive sin gle-tree information from laser scanner data.
Journal of Finland, Vol. 17, pp. 43-53.
18. James, M.R, and Robson, S (2012) Straight forward reconstruction of 3D surfaces and topography with a camera:Accuracy and geoscience application.
Journal of Geophysical Research, Vol. 117, pp. 1-17.
19. Jan, D, Nagol, J, Hein, S, Thiel, C, and Reiner, Z (2017) Measurement of within-season tree height growth in a mixed forest stand using UAV imagery.
Forests, Vol. 8, No. 231, pp. 1-15.
20. Kim, J.S, and Kwon, J.H (2020) Dron-based spectral library application study for species classification.
Journal of the Korean Society of Surveting, Vol. 2020, No. 7, pp. 288-291.
21. Kim, S.Y (2015). A study on the analysis of fuel characteristics for forest fire hazard assessment. Ph.D. dissertation, Kongju National University.
22. Kim, S.Y, Jeong, J.H, Lee, S.J, and Kwon, C.G (2021) Estimating tree height and diameter at breast height using the unmanned aerial system for Korea pine (Pinus koraiensis) in Bonghwa region.
Journal of Agriculture and Life Sciences, Vol. 55, No. 2, pp. 25-32.
23. Koji, S (1997) Analysis of the Relationship between dbh and crown projection area using a new model.
Journal of Forest Research, Vol. 2, No. 4, pp. 237-242.
24. Korea Forest Service (KFS) (2012)
Forest technology handbook, pp. 1669.
25. Korea Forest Service (KFS) (2016)
Development of fuel model for the improvement of forest fire prevention system, pp. 264.
26. Korea Forest Service (KFS) (2019)
Statistical Yearbook of Forest Fire, pp. 286.
27. Kwak, D.A, Lee, W.K, Lee, J.H, Biging, G.S, and Gong, P (2007) Detection of individual trees and estimation of tree height using LiDAR data.
Journal of Forest Research, Vol. 12, No. 6, pp. 425-434.
28. Lee, J.B, Heo, J, and Eo, Y.D (2007) Study on selection of optimized segmentation parameters and analysis of classification accuracy for object-oriented classfication.
Korean Journal of Remote Sensing, Vol. 23, No. 6, pp. 521-528.
29. Lim, Y.S, Eo, Y.D, Jeon, M.C, Lee, M.H, and Pyeon, M.W (2016) Experiments of individual tree and crown width extraction by band combination using monthly drone images.
Journal of the Korean Society for Geospatial Information Science, Vol. 24, No. 4, pp. 67-74.
30. Ota, T, Ogawa, M, Shimizu, K, Kajisa, T, Mizoue, N, Yoshida, S, et al (2015) Aboveground biomass estimation using structure from motion approach with aerial photographs in a seasonal tropical forest.
Forests, Vol. 6, No. 11, pp. 3882-3898.
31. Pabi, O, Alvin, A.A, and Ofori, B.D (2020) Linking optical spot and unmanned aerial vehicle data for a rapid biomass estimation in a forest-savanna transitional zone of Ghana.
West African Journal of Applied Ecology, Vol. 28, No. 1, pp. 1-19.
32. Paproki, A.X, Sirault, S, Scott, B, Furbank, R, and Fripp, J (2012) A novel mesh processing based technique for 3D plant analysis.
BMC Plant Biology, Vol. 12, No. 1, pp. 63.
33. Park, J.G, and Jang, G.Y (2018) Investigation and analysis of forest geospatial information using drone.
Journal of the Korea Academia-Industrial cooperation Society, Vol. 19, No. 2, pp. 602-607.
34. Song, C (2020).
A study on the extraction of individual tree and tree height on thinning intensity using uav images. Master's thesis, Kongju National University.
35. Strigul, N (2012) Individual-based models and scaling methods for ecological forestry:Implications of tree phenotypic plasticity.
Sustainable forest management, pp. 359-384.
36. Tian, J, Schneider, T, Straub, C, Kugler, F, and Reinartz, P (2017) Exploring digital surface models from nine different sensors for forest monitoring and change detection.
Remote Sens, Vol. 9, pp. 281-287.
37. Zarco-Tejada, P.J, Diaz-Varela, R, Angileri, V, and Loudjani, P (2014) Tree height quantification using very high resolution imagery acquired from an unmanned aerial vehicle (UAV) and automatic 3D photo-reconstruction methods.
European Journal of Agronomy, Vol. 55, pp. 89-99.