Three-dimensional digitization of the arid land plant Haloxylon ammodendron using a consumer-grade camera

Ecology and Evolution

Volumn 8, Issue 11, 2018, Pages 5891-5899

  Huang, Hongyu ^a   Zhang, Hao ^a   Chen, Chongcheng ^a   Tang, Liyu ^a  

^a FUZHOU UNIVERSITY   (China)

Author keywords

3D modeling; computer vision; desert plant; individual plant; LIDAR; photogrammetry; point cloud; terrestrial laser scanner

Indexed keywords

EID: 85046284435     PISSN: None     EISSN: 20457758     Source Type: Journal    
DOI: 10.1002/ece3.4126     Document Type: Article

References (29)

1. Bauwens, S., Fayolle, A., Gourlet-Fleury, S., Ndjele, L. M., Mengal, C., & Lejeune, P. (2017). Terrestrial photogrammetry: A non-destructive method for modelling irregularly shaped tropical tree trunks. Methods in Ecology and Evolution, 8, 460–471. https://doi.org/10.1111/2041-210X.12670
2. Cao, X. M., Chen, X., Wang, J. L., Wang, Q., & Wang, S. (2013). Water consumption and transpiration of non-irrigated Haloxylon ammodendron in hinterland of Taklimakan Desert. Arid Land Geography, 36(2), 292–302. (in Chinese with English abstract).
3. CloudCompare (version 2.1) [GPL software] (2017). Retrieved from http://www.cloudcompare.org/
4. Colmap. Retrieved from http://people.inf.ethz.ch/jschoenb/colmap/
5. Cunliffe, A. M., Brazier, R. E., & Anderson, K. (2016). Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion Photogrammetry. Remote Sensing of Environment, 183, 129–143. https://doi.org/10.1016/j.rse.2016.05.019
6. Dandois, J. P., & Ellis, E. C. (2013). High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision. Remote Sensing of Environment, 136, 259–276.
7. Fritz, A., Kattenborn, T., & Koch, B. (2013). UAV-based photogrammetric point clouds –Tree stem mapping in open stands in comparison to terrestrial laser scanner point clouds. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, 141–146. https://doi.org/10.5194/isprsarchives-XL-1-W2-141-2013
8. Furukawa, Y., & Ponce, J. (2007). Accurate, dense, and robust multi-view stereopsis. CVPR.
9. Huang, H., Tang, L., & Chen, C. (2015). A 3D individual tree modeling technique based on terrestrial LiDAR point cloud data. 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) (2015): 152–156.
10. Knapitsch, A., Park, J., Zhou, Q.-Y., & Koltun, V. (2017). Tanks and temples: Benchmarking large-scale scene reconstruction. ACM Transactions on Graphics, 36, 4. Article 78, 13 pages. https://doi.org/10.1145/3072959.3073599
11. Liang, X. L., Jaakkola, A., Wang, Y., Hyyppä, J., Honkavaara, E., Liu, J., & Kaartinen, H. (2014). The use of a hand-held camera for individual tree 3D mapping in forest sample plots. Remote Sensing, 6, 6587–6603. https://doi.org/10.3390/rs6076587
12. Liang, X., Jaakkola, A., Wang, Y., Hyyppä, J., Honkavaara, E., Liu, J., & Kaartinen, H. (2016). Terrestrial laser scanning in forest inventories. ISPRS Journal of Photogrammetry and Remote Sensing, 115, 63–77. https://doi.org/10.1016/j.isprsjprs.2016.01.006
13. Micheletti, N., Chandler, J. H., & Lane, S. N. (2015). Structure from motion (SfM) photogrammetry. Geomorphological Techniques. Retrieved from http://www.geomorphologyorg.uk/geomorph_techniques
14. Mikita, T., Janata, P., & Surový, P. (2016). Forest stand inventory based on combined aerial and terrestrial close-range photogrammetry. Forests, 2016(7), 165. https://doi.org/10.3390/f7080165
15. Miller, J., Morgenroth, J., & Gomez, C. (2015). 3D modelling of individual trees using a handheld camera: Accuracy of height, diameter and volume estimates. Urban Forestry & Urban Greening, 14, 932–940. https://doi.org/10.1016/j.ufug.2015.09.001
16. Newnham, G. J., Armston, J. D., Calders, K., Disney, M. I., Lovell, J. L., Schaaf, C. B., … Danson, F. M. (2015). Terrestrial laser scanning for plot-scale forest measurement. Current Forestry Reports, 1(4), 239–251. https://doi.org/10.1007/s40725-015-0025-5
17. Schönberger, J. L. (2016). COLMAP. Retrieved from https://colmap.github.io
18. Schönberger, J. L., & Frahm, J.-M. (2016). Structure-from-motion revisited. IEEE Conference on Computer Vision and Pattern Recognition.
19. Schöps, T., Schönberger, J. L., Galliani, S., Sattler, T., Schindler, K., Pollefeys, M., & Geiger, A. (2017). A multi-view stereo benchmark with high-resolution images and multi-camera videos. Conference on Computer Vision and Pattern Recognition (CVPR).
20. Smith, M. W., Carrivick, J., & Quincey, D. (2016). Structure from motion photogrammetry in physical geography. Progress in Physical Geography, 40(2), 247–275. https://doi.org/10.1177/0309133315615805
21. Snavely, N. (2010). Bundler: Structure from motion (SfM) for unordered image collections. Retrieved from https://github.com/snavely/bundler_sfm. (2017).
22. Snavely, N., Seitz, S. M., & Szeliski, R. (2006). Photo tourism: Exploring image collections in 3D. ACM Transactions on Graphics (Proceedings of SIGGRAPH 2006).
23. Sun, P. F., Zhou, H. F., Li, Y., & Li, M. (2010). Trunk sap flow and water consumption of Haloxylon ammodendron growing in the Gurbantunggut desert. Acta Ecologica Sinica, 30(24), 6901–6909. (in Chinese with English abstract).
24. Surový, P., Yoshimoto, A., & Panagiotidis, D. (2016). Accuracy of reconstruction of the tree stem surface using terrestrial close-range photogrammetry. Remote Sensing, 8, 123. https://doi.org/10.3390/rs8020123
25. Tang, L., Zhang, H., Huang, H., & Chen, C. (2017). Improved method for 3D reconstruction of tree model based on point cloud data. Transactions of the Chinese Society for Agricultural Machinery, 48(2), 186–194. (in Chinese with English abstract).
26. VisualSFM. Retrieved from http://ccwu.me/vsfm/
27. Wallace, L., Hillman, S., Reinke, K., & Hally, B. (2017). Non-destructive estimation of above-ground surface and near-surface biomass using 3D terrestrial remote sensing techniques. Methods in Ecology and Evolution, 8, 1607–1616. https://doi.org/10.1111/2041-210X.12759
28. Wikipedia of Haloxylon Ammodendron (2017). Retrieved from https://en.wikipedia.org/wiki/Haloxylon_ammodendron
29. Wu, C. (2011). “VisualSFM: A Visual Structure from Motion System”, Retrieved from http://ccwu.me/vsfm/