References

1. 1.
   Cai S S and Pang Y. 2024. Multi-resolution hierarchical cloth simulation filtering for airborne LiDAR data in forested areas. Remote Sensing Information, 39(1): 26-34
2. 2.
   Cai S S, Zhang W M, Zhang S H, Yu S S and Liang X L. 2024. Branch architecture quantification of large-scale coniferous forest plots using UAV-LiDAR data. Remote Sensing of Environment, 306: 114121
3. 3.
   Cao L, Coops N C, Innes J L, Dai J S, Ruan H H and She G H. 2016. Tree species classification in subtropical forests using small-footprint full-waveform LiDAR data. International Journal of Applied Earth Observation and Geoinformation, 49: 39-51
4. 4.
   Chen J H, Zhao D, Zheng Z J, Xu C, Pang Y and Zeng Y. 2024. A clustering-based automatic registration of UAV and terrestrial LiDAR forest point clouds. Computers and Electronics in Agriculture, 217: 108648
5. 5.
   Chen Y C, Hollaus M, Bronne G and Pfeifer N. 2023. Characterization of SilviLaser 2021 Benchmark Data Set
6. 6.
   Du L M, Pang Y, Wang Q, Huang C Q, Bai Y, Chen D S, Lu W and Kong D. 2023. A LiDAR biomass index-based approach for tree-and plot-level biomass mapping over forest farms using 3D point clouds. Remote Sensing of Environment, 290: 113543
7. 7.
   Fan G P, Nan L L, Dong Y Q, Su X H and Chen F X. 2020. AdQSM: a new method for estimating above-ground biomass from TLS point clouds. Remote Sensing, 12(18): 3089
8. 8.
   Han X, Liu C, Zhou Y Z, Tan K, Dong Z and Yang B S. 2024. WHU-Urban3D: an urban scene LiDAR point cloud dataset for semantic instance segmentation. ISPRS Journal of Photogrammetry and Remote Sensing, 209: 500-513
9. 9.
   Kölle M, Laupheimer D, Schmohl S, Haala N, Rottensteiner F, Wegner J D and Ledoux H. 2021. The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo. ISPRS Open Journal of Photogrammetry and Remote Sensing, 1: 100001
10. 10.
    Li Z Y, Pang Y, Liu Q W, et al. 2015. Inversion Techniques and Methods of Forest Parameters with LiDAR. Beijing: Science Press
11. 11.
    Liang X L, Kukko A, Balenović I, Saarinen N, Junttila S, Kankare V, Holopainen M, Mokroš M, Surový P, Kaartinen H, Jurjević L, Honkavaara E, Näsi R, Liu J B, Hollaus M, Tian J J, Yu, X W, Pan J, Cai S S, Virtanen J P, Wang Y S and Hyyppä J. 2022. Close-range remote sensing of forests: the state of the art, challenges, and opportunities for systems and data acquisitions. IEEE Geoscience and Remote Sensing Magazine, 10(3): 32-71
12. 12.
    Lin Y C, Shao J Y, Shin S Y, Saka Z, Joseph M, Manish R, Fei S L and Habib A. 2022. Comparative analysis of multi-platform, multi-resolution, multi-temporal LiDAR data for forest inventory. Remote Sensing, 14(3): 649
13. 13.
    Ma Q, Su Y J and Guo Q H. 2017. Comparison of canopy cover estimations from airborne LiDAR, aerial imagery, and satellite imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(9): 4225-4236
14. 14.
    Pang Y, Li Z Y, Chen E X and Sun G Q. 2005. Lidar remote sensing technology and its application in forestry. Scientia Silvae Sinicae, 41(3): 129-136
15. 15.
    Pang Y, Li Z Y, Ju H B, Lu H, Jia W, Si L, Guo Y, Liu Q W, Li S M, Liu L X, Xie B B, Tan B X and Dian Y Y. 2016. LiCHy: the CAF’s LiDAR, CCD and hyperspectral integrated airborne observation system. Remote Sensing, 8(5): 398
16. 16.
    Pang Y, Liang X J, Jia W, Si L, Yan G J and Shi J C. 2021. The comprehensive airborne remote sensing experiment in Saihanba forest farm. National Remote Sensing Bulletin, 25(4): 904-917
17. 17.
    Pfeifer N, Gorte B and Winterhalder D. 2004. Automatic reconstruction of single trees from terrestrial laser scanner data. Proceedings of 20th ISPRS Congress. 35: 114-119
18. 18.
    Wang D, Brunner J, Ma Z Y, Lu H, Hollaus M, Pang Y and Pfeifer N. 2018. Separating tree photosynthetic and non-photosynthetic components from point cloud data using dynamic segment merging. Forests, 9(5): 252
19. 19.
    Weiser H, Schäfer J, Winiwarter L, Krašovec N, Fassnacht F E and Höfle B. 2022. Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests. Earth System Science Data, 14(7): 2989-3012
20. 20.
    Xi Z X and Hopkinson C. 2022. 3D Graph-based individual-tree isolation (Treeiso) from terrestrial laser scanning point clouds. Remote Sensing, 14(23): 6116
21. 21.
    Yu Y H, Zhu B, Lin J Y, Zhou Q F and Wang H. 2024. Floristic characteristics and plant compositions of Guangxi State-owned Gaofeng forest farm. Guangxi Forestry Science, 53 (4): 481-487
22. 22.
    Zhang W M, Qi J B, Wan P, Wang H T, Xie D H, Wang X Y and Yan G J. 2016. An easy-to-use airborne LiDAR data filtering method based on cloth simulation. Remote Sensing, 8(6): 501