Terrestrial laser scanning in forest inventories

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 115, Issue , 2016, Pages 63-77

  Liang, Xinlian ^a,b   Kankare, Ville ^b,c   Hyyppä, Juha ^a,b   Wang, Yunsheng ^a,b   Kukko, Antero ^a,b,d   Haggrén, Henrik ^d   Yu, Xiaowei ^a,b   Kaartinen, Harri ^a   Jaakkola, Anttoni ^a,b   Guan, Fengying ^e   Holopainen, Markus ^b,c   Vastaranta, Mikko ^b,c  

^a FINNISH GEODETIC INSTITUTE   (Finland)

^b ACADEMY OF FINLAND   (Finland)

^c UNIVERSITY OF HELSINKI   (Finland)

^d AALTO UNIVERSITY   (Finland)

^e INTERNATIONAL CENTRE FOR BAMBOO AND RATTAN   (China)

Author keywords

Forest inventory; Image based point cloud; Mobile laser scanning; Personal laser scanning; Point cloud; Terrestrial laser scanning

Indexed keywords

DECISION MAKING; FORESTRY; LASER APPLICATIONS; REMOTE SENSING; SCANNING; SEEBECK EFFECT; STEEL BEAMS AND GIRDERS; SURFACE ANALYSIS;

FOREST INVENTORY; FOREST RESOURCES; GENERAL KNOWLEDGE; LASER SCANNING; MEASUREMENT TECHNIQUES; MILLIMETER LEVELS; POINT CLOUD; TERRESTRIAL LASER SCANNING;

SURVEYING INSTRUMENTS;

ACCURACY ASSESSMENT; DATA ACQUISITION; ESTIMATION METHOD; FOREST INVENTORY; IMAGE ANALYSIS; LASER METHOD; MAPPING METHOD; PERIODICITY; REMOTE SENSING; SOFTWARE; TERRESTRIAL ENVIRONMENT;

EID: 84969335393     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2016.01.006     Document Type: Article

References (115)

1. Aschoff T., Spiecker H. Algorithms for the automatic detection of trees in laser scanner data. Int. Arch. Photogramm., Remote Sens. Spatial Inform. Sci. 2004, 36:71-74.
2. Astrup R., Ducey M.J., Granhus A., Ritter T., von Lüpke N. Approaches for estimating stand-level volume using terrestrial laser scanning in a single-scan mode. Can. J. For. Res. 2014, 44:666-676. 10.1139/cjfr-2013-0535.
3. Bayer D., Seifert S., Pretzsch H. Structural crown properties of Norway spruce (Picea abies [L.] Karst.) and European beech (Fagus sylvatica [L.]) in mixed versus pure stands revealed by terrestrial laser scanning. Trees 2013, 27:1035-1047. 10.1007/s00468-013-0854-4.
4. Béland M., Widlowski J.-L., Fournier R.A., Côté J.-F., Verstraete M.M. Estimating leaf area distribution in savanna trees from terrestrial LiDAR measurements. Agric. For. Meteorol. 2011, 151:1252-1266.
5. Bienert A., Scheller S., Keane E., Mullooly G., Mohan F. Application of terrestrial laser scanners for the determination of forest inventory parameters. Int. Arch. Photogramm., Remote Sens. Spatial Inform. Sci. 2006, 36.
6. Bremer M., Rutzinger M., Wichmann V. Derivation of tree skeletons and error assessment using LiDAR point cloud data of varying quality. ISPRS J. Photogramm. Remote Sens. 2013, 80:39-50.
7. Brolly G., Kiraly G. Algorithms for stem mapping by means of terrestrial laser scanning. Acta Silvatica et Lignaria Hung. 2009, 5:119-130.
8. Bucksch A., Fleck S. Automated detection of branch dimensions in woody skeletons of fruit tree canopies. Photogramm. Eng. Remote Sens. 2011, 77:229-240.
9. Bucksch A., Lindenbergh R. CAMPINO-a skeletonization method for point cloud processing. ISPRS J. Photogramm. Remote Sens. 2008, 63:115-127.
10. Bucksch A., Lindenbergh R., Menenti M. SkelTre. Visual Comput. 2010, 26:1283-1300.
11. Calders K., Armston J., Newnham G., Herold M., Goodwin N. Implications of sensor configuration and topography on vertical plant profiles derived from terrestrial LiDAR. Agric. For. Meteorol. 2014, 194:104-117. 10.1016/j.agrformet.2014.03.022.
12. Calders K., Newnham G., Burt A., Murphy S., Raumonen P., Herold M., Culvenor D., Avitabile V., Disney M., Armston J., Kaasalainen M. Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods Ecol. Evol. 2015, 6:198-208. 10.1111/2041-210X.12301.
13. Cheng Z.L., Zhang X.P., Chen B.Q. Simple reconstruction of tree branches from a single range image. J. Comput. Sci. Technol. 2007, 22:846-858.
14. Cifuentes R., Van der Zande D., Farifteh J., Salas C., Coppin P. Effects of voxel size and sampling setup on the estimation of forest canopy gap fraction from terrestrial laser scanning data. Agric. For. Meteorol. 2014, 194:230-240. 10.1016/j.agrformet.2014.04.013.
15. Côté J.-F., Fournier R.A., Egli R. An architectural model of trees to estimate forest structural attributes using terrestrial LiDAR. Environ. Model. Softw. 2011, 26:761-777.
16. Côté J.F., Widlowski J.L., Fournier R.A., Verstraete M.M. The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar. Remote Sens. Environ. 2009, 113:1067-1081.
17. Danson F.M., Gaulton R., Armitage R.P., Disney M., Gunawan O., Lewis P., Pearson G., Ramirez A.F. Developing a dual-wavelength full-waveform terrestrial laser scanner to characterize forest canopy structure. Agric. For. Meteorol. 2014, 198-199:7-14. 10.1016/j.agrformet.2014.07.007.
18. Danson F.M., Hetherington D., Morsdorf F., Koetz B., Allgower B. Forest canopy gap fraction from terrestrial laser scanning. IEEE Geosci. Remote Sens. Lett. 2007, 4:157-160.
19. Dassot M., Colin A., Santenoise P., Fournier M., Constant T. Terrestrial laser scanning for measuring the solid wood volume, including branches, of adult standing trees in the forest environment. Comput. Electron. Agric. 2012, 89:86-93. 10.1016/j.compag.2012.08.005.
20. Delagrange S., Jauvin C., Rochon P. Pypetree: a tool for reconstructing tree perennial tissues from point clouds. Sensors 2014, 14:4271-4289. 10.3390/s140304271.
21. Douglas E.S., Martel J., Li Z., Howe G., Hewawasam K., Marshall R.A., Schaaf C.L., Cook T.A., Newnham G.J., Strahler A., Chakrabarti S. Finding Leaves in the forest: the dual-wavelength echidna lidar. IEEE Geosci. Remote Sens. Lett. 2015, 12:776-780. 10.1109/LGRS.2014.2361812.
22. Ducey M.J., Astrup R. Adjusting for nondetection in forest inventories derived from terrestrial laser scanning. Can. J. Remote Sens. 2013, 39:410-425.
23. Ducey M.J., Astrup R., Seifert S., Pretzsch H., Larson B.C., Coates K.D. Comparison of forest attributes derived from two terrestrial lidar systems. Photogramm. Eng. Remote Sens. 2013, 79:245-257. 10.14358/PERS.79.3.245.
24. Eitel J.U.H., Vierling L.A., Magney T.S. A lightweight, low cost autonomously operating terrestrial laser scanner for quantifying and monitoring ecosystem structural dynamics. Agric. For. Meteorol. 2013, 180:86-96. 10.1016/j.agrformet.2013.05.012.
25. Erikson, M., Karin, V., 2003. Finding tree-stems in laser range images of young mixed stands to perform selective cleaning. In: Proceedings of the Scandlaser Scientific Workshop on Airborne Laser Scanning of Forest, pp. 244-250.
26. Eysn L., Pfeifer N., Ressl C., Hollaus M., Grafl A., Morsdorf F. A practical approach for extracting tree models in forest environments based on equirectangular projections of terrestrial laser scans. Remote Sens. 2013, 5:5424-5448. 10.3390/rs5115424.
27. Fernández-Sarría A., VeláZquez-Martí B., Sajdak M., MartíNez L., Estornell J. Residual biomass calculation from individual tree architecture using terrestrial laser scanner and ground-level measurements. Comput. Electron. Agric. 2013, 93:90-97.
28. Fleck S., Mölder I., Jacob M., Gebauer T., Jungkunst H.F., Leuschner C. Comparison of conventional eight-point crown projections with LIDAR-based virtual crown projections in a temperate old-growth forest. Ann. For. Sci. 2011, 68:1173-1185.
29. Forsman, M., Börlin, N., Holmgren, J., 2012. Estimation of tree stem attributes using terrestrial photogrammetry. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Presented at the XXII ISPRS Congress, Melbourne, Australia, pp. 261-265.
30. Haala N., Reulke R., Thies M., Aschoff T. Combination of terrestrial laser scanning with high resolution panoramic images for investigations in forest applications and tree species recognition. Int. Arch. Photogramm., Remote Sens. Spatial Inform. Sci. 2004, 34:4.
31. Hackenberg J., Morhart C., Sheppard J., Spiecker H., Disney M. Highly accurate tree models derived from terrestrial laser scan data: a method description. Forests 2014, 5:1069-1105. 10.3390/f5051069.
32. Hackenberg J., Wassenberg M., Spiecker H., Sun D. Non destructive method for biomass prediction combining TLS derived tree volume and wood density. Forests 2015, 6:1274-1300. 10.3390/f6041274.
33. Hakala T., Suomalainen J., Kaasalainen S., Chen Y. Full waveform hyperspectral LiDAR for terrestrial laser scanning. Opt. Express 2012, 20:7119. 10.1364/OE.20.007119.
34. Hauglin M., Astrup R., Gobakken T., Næsset E. Estimating single-tree branch biomass of Norway spruce with terrestrial laser scanning using voxel-based and crown dimension features. Scand. J. For. Res. 2013, 28:456-469. 10.1080/02827581.2013.777772.
35. Hauglin M., Gobakken T., Astrup R., Ene L., Næsset E. Estimating single-tree crown biomass of Norway spruce by airborne laser scanning: a comparison of methods with and without the use of terrestrial laser scanning to obtain the ground reference data. Forests 2014, 5:384-403. 10.3390/f5030384.
36. Henning J.G., Radtke P.J. Ground-based laser imaging for assessing three dimensional forest canopy structure. Photogramm. Eng. Remote Sens. 2006, 72:1349.
37. Henning J.G., Radtke P.J. Detailed stem measurements of standing trees from ground-based scanning lidar. For. Sci. 2006, 52:67-80.
38. Holopainen M., Kankare V., Vastaranta M., Liang X., Lin Y., Vaaja M., Yu X., Hyyppä J., Hyyppä H., Kaartinen H., Kukko A., Tanhuanpää T., Alho P. Tree mapping using airborne, terrestrial and mobile laser scanning - a case study in a heterogeneous urban forest. Urban Forest. Urban Greening 2013, 12:546-553. 10.1016/j.ufug.2013.06.002.
39. Hopkinson C., Chasmer L., Young-Pow C., Treitz P. Assessing forest metrics with a ground-based scanning lidar. Can. J. For. Res. 2004, 34:573-583. 10.1139/x03-225.
40. Hopkinson C., Lovell J., Chasmer L., Jupp D., Kljun N., van Gorsel E. Integrating terrestrial and airborne lidar to calibrate a 3D canopy model of effective leaf area index. Remote Sens. Environ. 2013, 136:301-314.
41. Hosoi F., Nakai Y., Omasa K. 3-D voxel-based solid modeling of a broad-leaved tree for accurate volume estimation using portable scanning lidar. ISPRS J. Photogramm. Remote Sens. 2013, 82:41-48.
42. Hosoi F., Omasa K. Voxel-based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning lidar. IEEE Trans. Geosci. Remote Sens. 2006, 44:3610-3618.
43. Huang H., Li Z., Gong P., Cheng X., Clinton N., Cao C., Ni W., Wang L. Automated methods for measuring DBH and tree heights with a commercial scanning lidar. Photogramm. Eng. Remote Sens. 2011, 77:219-227.
44. Huang P., Pretzsch H. Using terrestrial laser scanner for estimating leaf areas of individual trees in a conifer forest. Trees 2010, 24:609-619.
45. Hyyppä, J., 2011. Utilizing Individual Tree Information in Laser Assisted Forest Inventory.
46. Hyyppä J., Inkinen M. Detecting and estimating attributes for single trees using laser scanner. Photogramm. J. Finland 1999, 16:27-42.
47. Hyyppä, J., Jaakkola, A., Chen, Y., Kukko, A., 2013. Unconventional LIDAR mapping from air, terrestrial and mobile. In: Photogrammetric Week 2013, Stuttgart, Germany, pp. 205-214.
48. Jupp D.L.B., Culvenor D.S., Lovell J.L., Newnham G.J., Strahler A.H., Woodcock C.E. Estimating forest LAI profiles and structural parameters using a ground-based laser called "Echidna®". Tree Physiol. 2009, 29:171-181. 10.1093/treephys/tpn022.
49. Kaasalainen S., Jaakkola A., Kaasalainen M., Krooks A., Kukko A. Analysis of Incidence angle and distance effects on terrestrial laser scanner intensity: search for correction methods. Remote Sens. 2011, 3:2207-2221. 10.3390/rs3102207.
50. Kankare V., Holopainen M., Vastaranta M., Puttonen E., Yu X., Hyyppä J., Vaaja M., Hyyppä H., Alho P. Individual tree biomass estimation using terrestrial laser scanning. ISPRS J. Photogramm. Remote Sens. 2013, 75:64-75. 10.1016/j.isprsjprs.2012.10.003.
51. Kankare V., Joensuu M., Vauhkonen J., Holopainen M., Tanhuanpää T., Vastaranta M., Hyyppä J., Hyyppä H., Alho P., Rikala J., Sipi M. Estimation of the timber quality of scots pine with terrestrial laser scanning. Forests 2014, 5:1879-1895. 10.3390/f5081879.
52. Kankare V., Liang X., Vastaranta M., Yu X., Holopainen M., Hyyppä J. Diameter distribution estimation with laser scanning based multisource single tree inventory. ISPRS J. Photogramm. Remote Sens. 2015, 108:161-171. 10.1016/j.isprsjprs.2015.07.007.
53. Keightley K.E., Bawden G.W. 3D volumetric modeling of grapevine biomass using Tripod LiDAR. Comput. Electron. Agric. 2010, 74:305-312. 10.1016/j.compag.2010.09.005.
54. Kelbe D., van Aardt J., Romanczyk P., van Leeuwen M., Cawse-Nicholson K. Single-scan stem reconstruction using low-resolution terrestrial laser scanner data. IEEE J. Sel. Top. Appl. Earth Observations Remote Sens. 2015, 1-14. 10.1109/JSTARS.2015.2416001.
55. Kretschmer U., Kirchner N., Morhart C., Spiecker H. A new approach to assessing tree stem quality characteristics using terrestrial laser scans. Silva Fennica 2013, 47. 10.14214/sf.1071.
56. Kukko A., Kaasalainen S., Litkey P. Effect of incidence angle on laser scanner intensity and surface data. Appl. Opt. 2008, 47:986. 10.1364/AO.47.000986.
57. Laasasenaho, J., 1982. Taper Curve and Volume Functions for Pine, Spruce and Birch (Pinus sylvestris, Picea abies, Betula pendula, Betula pubescens). Finnish Forest Research Institute.
58. Lefsky M., McHale M.R. Volume estimates of trees with complex architecture from terrestrial laser scanning. J. Appl. Remote Sens. 2008, 2. 023521-023521-19.
59. Lehner, H., Briese, C., 2010. Radiometric calibration of Full-Waveform Airborne Laser Scanning Data based on natural surfaces. In: The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vienna, Austria, pp. 360-365.
60. Liang X., Hyyppä J. Automatic stem mapping by merging several terrestrial laser scans at the feature and decision levels. Sensors 2013, 13:1614-1634. 10.3390/s130201614.
61. Liang X., Hyyppä J., Kaartinen H., Holopainen M., Melkas T. Detecting changes in forest structure over time with bi-temporal terrestrial laser scanning data. ISPRS Int. J. Geo-Inform. 2012, 1:242-255. 10.3390/ijgi1030242.
62. Liang X., Kankare V., Yu X., Hyyppa J., Holopainen M. Automated stem curve measurement using terrestrial laser scanning. IEEE Trans. Geosci. Remote Sens. 2014, 52:1739-1748. 10.1109/TGRS.2013.2253783.
63. Liang X., Litkey P., Hyyppa J., Kaartinen H., Vastaranta M., Holopainen M. Automatic stem mapping using single-scan terrestrial laser scanning. IEEE Trans. Geosci. Remote Sens. 2012, 50:661-670.
64. Liang X., Wang Y., Jaakkola A., Kukko A., Kaartinen H., Hyyppa J., Honkavaara E., Liu J. Forest data collection using terrestrial image-based point clouds from a handheld camera compared to terrestrial and personal laser scanning. IEEE Trans. Geosci. Remote Sens. 2015, 53:5117-5132. 10.1109/TGRS.2015.2417316.
65. Lichti D.D. Error modelling, calibration and analysis of an AM-CW terrestrial laser scanner system. ISPRS J. Photogramm. Remote Sens. 2007, 61:307-324. 10.1016/j.isprsjprs.2006.10.004.
66. Lichti D., Skaloud J. Registration and calibration. Airborne and Terrestrial Laser Scanning 2010, 83-133. CRC Press, Caithness, UK.
67. Lindberg E., Holmgren J., Olofsson K., Olsson H. Estimation of stem attributes using a combination of terrestrial and airborne laser scanning. Eur. J. Forest Res. 2012, 131:1917-1931.
68. Lin Y., Jaakkola A., Hyyppä J., Kaartinen H. From TLS to VLS: biomass estimation at individual tree level. Remote Sens. 2010, 2:1864-1879. 10.3390/rs2081864.
69. Livny Y., Yan F., Olson M., Chen B., Zhang H., El-Sana J. Automatic Reconstruction of Tree Skeletal Structures From Point Clouds 2010, 1-8. ACM Press, http://dx.doi.org/10.1145/1866158.1866177.
70. Lovell J.L., Jupp D.L.B., Culvenor D.S., Coops N.C. Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests. Can. J. Remote Sens. 2003, 29:607-622. 10.5589/m03-026.
71. Lovell J.L., Jupp D.L.B., Newnham G.J., Culvenor D.S. Measuring tree stem diameters using intensity profiles from ground-based scanning lidar from a fixed viewpoint. ISPRS J. Photogramm. Remote Sens. 2011, 66:46-55.
72. Maas H.G., Bienert A., Scheller S., Keane E. Automatic forest inventory parameter determination from terrestrial laser scanner data. Int. J. Remote Sens. 2008, 29:1579-1593. 10.1080/01431160701736406.
73. Mengesha T., Hawkins M., Nieuwenhuis M. Validation of terrestrial laser scanning data using conventional forest inventory methods. Eur. J. Forest Res. 2015, 134:211-222. 10.1007/s10342-014-0844-0.
74. Moorthy I., Miller J.R., Berni J.A.J., Zarco-Tejada P., Hu B., Chen J. Field characterization of olive (Olea europaea L.) tree crown architecture using terrestrial laser scanning data. Agric. For. Meteorol. 2011, 151:204-214.
75. Moskal L.M., Zheng G. Retrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest. Remote Sens. 2011, 4:1-20.
76. Murphy G.E., Acuna M.A., Dumbrell I. Tree value and log product yield determination in radiata pine (Pinus radiata) plantations in Australia: comparisons of terrestrial laser scanning with a forest inventory system and manual measurements. Can. J. For. Res. 2010, 40:2223-2233. 10.1139/X10-171.
77. Newnham G.J., Armston J.D., Calders K., Disney M.I., Lovell J.L., Schaaf C.B., Strahler A.H., Danson F.M. Terrestrial laser scanning for plot-scale forest measurement. Curr. Forest. Rep. 2015, 1:239-251. 10.1007/s40725-015-0025-5.
78. Olofsson K., Holmgren J., Olsson H. Tree stem and height measurements using terrestrial laser scanning and the RANSAC algorithm. Remote Sens. 2014, 6:4323-4344. 10.3390/rs6054323.
79. Parker G.G., Harding D.J., Berger M.L. A portable LIDAR system for rapid determination of forest canopy structure: portable LIDAR for canopy structure. J. Appl. Ecol. 2004, 41:755-767. 10.1111/j.0021-8901.2004.00925.x.
80. Persson A., Holmgren J., Söderman U. Detecting and measuring individual trees using an airborne laser scanner. Photogramm. Eng. Remote Sens. 2002, 68:925-932.
81. Petrie, G., Toth, C.K., 2009. Terrestrial laser scanners. In: Topographic Laser Ranging and Scanning: Principles and Processing, pp. 87-128.
82. Pfeifer N., Winterhalder D. Modelling of tree cross sections from terrestrial laser scanning data with free-form curves. Int. Arch. Photogramm., Remote Sens. Spatial Inform. Sci. 2004, 36:76-81.
83. Pirotti F., Guarnieri A., Vettore A. Ground filtering and vegetation mapping using multi-return terrestrial laser scanning. ISPRS J. Photogramm. Remote Sens. 2013, 76:56-63. 10.1016/j.isprsjprs.2012.08.003.
84. Pueschel P., Newnham G., Rock G., Udelhoven T., Werner W., Hill J. The influence of scan mode and circle fitting on tree stem detection, stem diameter and volume extraction from terrestrial laser scans. ISPRS J. Photogramm. Remote Sens. 2013, 77:44-56.
85. Puttonen E., Hakala T., Nevalainen O., Kaasalainen S., Krooks A., Karjalainen M., Anttila K. Artificial target detection with a hyperspectral LiDAR over 26-h measurement. Opt. Eng. 2015, 54:013105. 10.1117/1.OE.54.1.013105.
86. Puttonen E., Lehtomäki M., Kaartinen H., Zhu L., Kukko A., Jaakkola A. Improved sampling for terrestrial and mobile laser scanner point cloud data. Remote Sens. 2013, 5:1754-1773. 10.3390/rs5041754.
87. Raumonen P., Kaasalainen M., Åkerblom M., Kaasalainen S., Kaartinen H., Vastaranta M., Holopainen M., Disney M., Lewis P. Fast automatic precision tree models from terrestrial laser scanner data. Remote Sens. 2013, 5:491-520. 10.3390/rs5020491.
88. Reshetyuk, Y., 2009. Self-calibration and Direct Georeferencing in Terrestrial Laser Scanning (Dissertation). Royal Institute of Technology, Stockholm, Sweden.
89. Ryding J., Williams E., Smith M., Eichhorn M. Assessing handheld mobile laser scanners for forest surveys. Remote Sens. 2015, 7:1095-1111. 10.3390/rs70101095.
90. Schilling A., Schmid A., Maas H.-G. Tree topology representation from TLS point clouds using depth-first search in voxel space. PE&RS 2012, 78:383-392.
91. Schütt C., Aschoff T., Winterhalder D., Thies M., Kretschmer U., Spiecker H. Approaches for recognition of wood quality of standing trees based on terrestrial laser scanner data. Int. Arch. Photogramm., Remote Sens., Spatial Inform. Sci. 2004, 36:179-182.
92. Seidel D., Beyer F., Hertel D., Fleck S., Leuschner C. 3D-laser scanning: a non-destructive method for studying above-ground biomass and growth of juvenile trees. Agric. For. Meteorol. 2011, 151:1305-1311.
93. Seidel D., Fleck S., Leuschner C. Analyzing forest canopies with ground-based laser scanning: a comparison with hemispherical photography. Agric. For. Meteorol. 2012, 154-155:1-8. 10.1016/j.agrformet.2011.10.006.
94. Shlyakhter I., Rozenoer M., Dorsey J., Teller S. Reconstructing 3D tree models from instrumented photographs. IEEE Comput. Graphics Appl. 2001, 21:53-61.
95. Simonse, M., Aschoff, T., Spiecker, H., Thies, M., 2003. Automatic determination of forest inventory parameters using terrestrial laserscanning, pp. 252-258.
96. Soudarissanane S., Lindenbergh R., Menenti M., Teunissen P. Scanning geometry: influencing factor on the quality of terrestrial laser scanning points. ISPRS J. Photogramm. Remote Sens. 2011, 66:389-399. 10.1016/j.isprsjprs.2011.01.005.
97. Srinivasan S., Popescu S.C., Eriksson M., Sheridan R.D., Ku N.-W. Multi-temporal terrestrial laser scanning for modeling tree biomass change. For. Ecol. Manage. 2014, 318:304-317. 10.1016/j.foreco.2014.01.038.
98. Stängle S.M., Brüchert F., Kretschmer U., Spiecker H., Sauter U.H. Clear wood content in standing trees predicted from branch scar measurements with terrestrial LiDAR and verified with X-ray computed tomography. Can. J. For. Res. 2014, 44:145-153. 10.1139/cjfr-2013-0170.
99. Strahler A.H., Jupp D.L.B., Woodcock C.E., Schaaf C.B., Yao T., Zhao F., Yang X., Lovell J., Culvenor D., Newnham G. Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna®). Can. J. Remote Sens. 2008, 34:426-440.
100. Tanaka T. Measurement of forest canopy structure by a laser plane range-finding method improvement of radiative resolution and examples of its application. Agric. For. Meteorol. 2004, 125:129-142. 10.1016/j.agrformet.2004.02.008.
101. Tansey K., Selmes N., Anstee A., Tate N.J., Denniss A. Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data. Int. J. Remote Sens. 2009, 30:5195-5209.
102. Thies M., Pfeifer N., Winterhalder D., Gorte B.G.H. Three-dimensional reconstruction of stems for assessment of taper, sweep and lean based on laser scanning of standing trees. Scand. J. For. Res. 2004, 19:571-581.
103. Thies M., Spiecker H. Evaluation and future prospects of terrestrial laser scanning for standardized forest inventories. Int. Arch. Photogramm., Remote Sens. Spatial Inform. Sci. 2004, 36:192-197.
104. Thorsten S. Calibration of a Terrestrial Laser Scanner for Engineering Geodesy 2007, Swiss Federal Institute of Technology in Zurich, Zurich.
105. Trochta J., Král K., Janík D., Adam D. Arrangement of terrestrial laser scanner positions for area-wide stem mapping of natural forests. Can. J. For. Res. 2013, 43:355-363. 10.1139/cjfr-2012-0347.
106. Van der Zande D., Stuckens J., Verstraeten W.W., Mereu S., Muys B., Coppin P. 3D modeling of light interception in heterogeneous forest canopies using ground-based LiDAR data. Int. J. Appl. Earth Obs. Geoinf. 2011, 13:792-800.
107. van Leeuwen M., Coops N.C., Hilker T., Wulder M.A., Newnham G.J., Culvenor D.S. Automated reconstruction of tree and canopy structure for modeling the internal canopy radiation regime. Remote Sens. Environ. 2013, 136:286-300.
108. Vastaranta M., Melkas T., Holopainen M., Kaartinen H., Hyyppä J., Hyyppä H. Laser-based field measurements in tree-level forest data acquisition. Photogramm. J. Finland 2009, 21:51-61.
109. Vonderach C., Vögtle T., Adler P., Norra S. Terrestrial laser scanning for estimating urban tree volume and carbon content. Int. J. Remote Sens. 2012, 33:6652-6667. 10.1080/01431161.2012.692888.
110. Airborne and Terrestrial Laser Scanning 2011, Whittles, Dunbeath. repr. ed. G. Vosselman, H.-G. Maas (Eds.).
111. Watt P.J., Donoghue D.N.M. Measuring forest structure with terrestrial laser scanning. Int. J. Remote Sens. 2005, 26:1437-1446. 10.1080/01431160512331337961.
112. Yao T., Yang X., Zhao F., Wang Z., Zhang Q., Jupp D., Lovell J., Culvenor D., Newnham G., Ni-Meister W., Schaaf C., Woodcock C., Wang J., Li X., Strahler A. Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar. Remote Sens. Environ. 2011, 115:2965-2974. 10.1016/j.rse.2010.03.019.
113. Yu X., Liang X., Hyyppä J., Kankare V., Vastaranta M., Holopainen M. Stem biomass estimation based on stem reconstruction from terrestrial laser scanning point clouds. Remote Sens. Lett. 2013, 4:344-353. 10.1080/2150704X.2012.734931.
114. Zhao F., Strahler A.H., Schaaf C.L., Yao T., Yang X., Wang Z., Schull M.A., Román M.O., Woodcock C.E., Olofsson P. Measuring gap fraction, element clumping index and LAI in Sierra Forest stands using a full-waveform ground-based lidar. Remote Sens. Environ. 2012, 125:73-79.
115. Zheng G., Moskal L.M., Kim S.-H. Retrieval of effective leaf area index in heterogeneous forests with terrestrial laser scanning. IEEE Trans. Geosci. Remote Sens. 2013, 51:777-786.