The properties of terrestrial laser system intensity for measuring leaf geometries: A case study with conference pear trees (Pyrus Communis)

Sensors

Volumn 11, Issue 2, 2011, Pages 1657-1681

  Balduzzi, Mathilde A F ^a   van der Zande, Dimitry ^a,b   Stuckens, Jan ^a,e   Verstraeten, Willem W ^c,d   Coppin, Pol ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b ROYAL BELGIAN INSTITUTE OF NATURAL SCIENCES   (Belgium)

^c ROYAL NETHERLANDS METEOROLOGICAL INSTITUTE KNMI   (Netherlands)

^d EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^e Researchpark Haasrode   (Belgium)

Author keywords

Conference pear tree; Ghost point; Intensity return; Leaf geometries; Leaf inclination; Mesh; TLS

Indexed keywords

ARTICLE; HISTOLOGY; LASER; LIGHT; PLANT LEAF; PYRUS; RADIATION EXPOSURE; REGRESSION ANALYSIS; REPRODUCIBILITY; TREE;

LASERS; LEAST-SQUARES ANALYSIS; LIGHT; PLANT LEAVES; PYRUS; REPRODUCIBILITY OF RESULTS; TREES;

EID: 79952091326     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s110201657     Document Type: Article

References (58)

1. Fitzjarrald, D.; Moore, K. Physical mechanisms of heat and mass exchange between forest and the atmosphere. In Forest Canopies; Lowman, M.D., Nadkarni, N.M., Eds.; Academic Press: San Diego, CA, USA, 1995; pp. 45-72.
2. MacArthur, R.; MacArthur, J. On bird species diversity. Ecology 1961, 42, 594-598.
3. Erdelen, M. Bird communities and vegetation structure. I. Correlations and comparisons of simple and diversity indices. Oecologia 1984, 61, 277-284.
4. Bradbury, R.; Hill, R.; Manson, D.; Hinsley, S.; Wilson, J; Balzter, H.; Anderson, G.; Whittingham, M.; Davenport, I.; Bellamy, P. Modeling relationships between birds and vegetation structure using airborne LiDAR data: A review with case studies from agricultural and woodland environments. IBIS 2005, 147, 443-452.
5. Welles, J. Some indirect methods of estimation of canopy structure. Rem. Sens. Rev. 1990, 5, 41-43.
6. Arkebauer, T.J.; Walter-Shea, E.A.; Mesarch, M.A.; Suyker, A.E.; Verma, S.B. Scaling up of CO2 fluxes from leaf to canopy in maize-based agroecosystems. Agr. Forest Meteorol. 2009, 149, 2110-2119.
7. De Castro, F.; Fetcher, N. Three dimensional model of the interception of light by a canopy. Agr. Forest Meteorol. 1998, 90, 215-233.
8. Monteith, J.L.; Unsworth, M.H. Microclimatology of radiation (iii) interception by plants and animals. In Principles of Environmental Physics, 3rd ed.; Lawson, J., Ed; Elsevier: London, UK, 2008; Chapter 8, pp. 116-133.
9. Chen, J.M.; Black, T.A. Defining leaf area index for non-flat leaves. Plant Cell Environ. 1992, 15, 421-429.
10. Ehelringer, J.R.; Forseth, I.N. Diurnal leaf movement and productivity in canopies. In Plant Canopies: Their Growth, Form and Function; Russel, G., Marshall, B., Parvis, P.G., Eds; Cambridge University Press: Cambridge, UK, 1989; pp. 129-142.
11. Wang, W.-M.; Li, Z.-L.; Su H.-B. Comparison of leaf angle distribution functions: Effects on extinction coefficient and fraction of sunlight foliage. Agr. Forest Metrol. 2007, 143, 106-122.
12. Otto, S.; Trautmann, T. A note on G-Functions within the scope of radiative transfer in turbid vegetation media. J. Quant. Spectrosc. Radiat. 2008, 109, 2813-2819.
13. Chelle, M. Could plant leaves be treated as Lambertian surfaces in dense crop canopies to estimate light absorption? Ecol. Model. 2006, 198, 219-228.
14. Biswas, G. Some new leaf normal-angle distribution models and their influence on geometry functions and area scattering phase functions related to radiative transfer problems in vegetative canopies. J. Quant. Spectrosc. Radiat. 2007, 108, 197-219.
15. Stuckens, J.; Somers, B.; Delalieux, S.; Verstraeten, W.W.; Copin, P. The impact of common assumptions on canopy radiative transfer simulations: A case study in Citrus orchards. J. Quant. Spectrosc. Radiat. 2009, 110, 1-21.
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. Phattaralerphong, J.; Sinoquet, H. A method for 3D reconstruction of tree crown volume from photographs: assessment with a 3D-digitizer plants. Tree Physiol. 2005, 25, 1229-1242.
18. Giulani, R.; Magnanini, E.; Fragassa, C.; Nerozzi, F. Ground monitoring the light-shadow windows of a tree canopy to yield canopy light interception and morphological traits. Plant Cell Environ. 2000, 23, 783-796.
19. Aber, J. A method for estimating foliage-height profiles in broad-leaves forests. J. Ecol. 1979, 67, 35-40.
20. Van Der Zande, D.; Hoet, W.; Jonckheere, I.; Van Aardt, J.; Coppin, P. Influence of measurement set-up of ground-based LiDAR for derivation of tree structure. Agr. Forest Meteorol. 2006, 141, 147-160.
21. Nejad, S.M; Olyaee S. Comparison of TOF, FMCW and phase-shift laser range finding methods by simulation and measurement. Quart. J. Technol. Educ. 2006, 1, 11-18.
22. Van Genechten, B.; Caner, H.; Poelman, R.; Heine, E.; Lerma, J.L.; Reiner, H.; Biosca Taronger, J.M.; De Bruyne, M.; Hankar, M. Theory and practice on Terrestrial Laser Scanning-Training material based on practical applications. Santana Quintero, M., Lerma, J.L, Heine, E., Van Genechten, B, Eds.; Vlaams Leonardo Da Vinci Agentschap v.z.w.: Valencia, Spain, Universidad Politecnica de Valencia Editorial 2006-2008.
23. Hopkinson, C.; Chasmer, L.; Young-Pow, C.; Treitz, P. Assessing forest metrics with a ground-based scanning LiDAR. Can. J. Forest Res. 2004, 34, 573-583.
24. Danson, F.M.; Hetherington, D.; Morsdorf, F.; Koetz, B.; Allgöwer, B. Forest canopy gap fraction from terrestrial laser scanning. IEEE Geosc. Rem. Sens. Lett. 2007, 4, 157-160.
25. Zheng, G.; Moskal, L.M.; Retrieving leaf area index (LAI) using remote sensing: theories, methods and sensors. Sensors 2009, 9, 2719-2745.
26. Rossel, J.R.; Sanz, R.; Llorenz, J.; Arno, J.; Escola, A.; Ribes-Dasi, M.; Masip, J.; Camp, F.; Gracia, F.; Solanelles, F.; Palleja, T.; Val, L.; Planas, S.; Gil, E.; Palacin, J. A tractor-mounted scanning LiDAR for the non-destructive measurement of vegetative volume and surface area of tree-row plantations: A comparison with conventional destructive measurements. Biosyst. Eng. 2009, 102, 128-134.
27. Rossel, J.R.; Llorens, J.; Sanz, R.; Arno, J.; Ribes-Dasi, M.; Masip, J.; Escola, A.; Camp, F.; Solanelles, F.; Gracia, F.; Gil, E.; Val, L.; Planas, S.; Palacin, J. Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LiDAR scanning. Agr. Forest Meteorol. 2009, 149, 1505-1515.
28. Kaasalainen, S.; Kukko, A.; Lindroos, T.; Litkey, P.; Kaartinen, H.; Hyyppä, J.; Ahokas, E. Brightness measurements and calibration with airborne and terrestrial laser scanners. IEEE Geosci. Remote Sens. Lett. 2008, 46, 528-534.
29. Voegtle, T.; Schwab, I.; Landes, T. Influences of different materials on the measurements of a terrestrial laser scanner (TLS). In Proceedings of The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China, 3-11 July 2008; Volume XXXVII, Part B5, pp. 1061-1066.
30. Voegtle, T.; Wakaluk, S. Effects on the measurement of the terrestrial laser scanner HDS 6000 (LEICA) caused by different object materials. In Proceedings of ISPRS Work, Paris, France, 1-2 September 2009; Volume XXXVIII, Part 3/W8, pp. 68-74.
31. Kaasalainen, S.; Krooks, A.; Kukko, A.; Kaartinen, H. Radiometric calibration of terrestrial laser scanners with reference targets. Remote Sens. 2009, 1, 144-158.
32. Adams, M.D. Lidar design, use and calibration concepts for correct environmental detection. IEEE Trans. Robot. Autom. Soc. 2000, 16, 753-761.
33. Van Der Zande, D.; Jonckheere, I.; Stuckens, J.; Verstraeten, W.; Coppin, P. Sampling design of ground-based LiDAR measurements of forest canopy structure and its effect on shadowing. Can. J. Rem. Sens. 2008, 34, 526-538.
34. Kersten, T.P.; Sternberg, H.; Mechelke, K. Investigation into the accuracy behavior of the terrestrial laser scanning system MENSI GS100. In Proceedings of 7th Conference in Optical 3D Measurement Techniques; Vienna, Austria, 3-5 October 2005; Volume I, pp. 122-131.
35. Soudarissanane, S.; Lindenbergh, R.; Menenti, M.; & Teunissen, P. Incidence angle influence on the quality of terrestrial laser scanning points. In: Proceedings of ISPRS Works, Paris, France, 1-2 September, 2009; Volume XXXVIII, Part 3/W8, pp 183-188.
36. Linderbergh, R.; Pfeifer, N.; Rabbani, T. Accuracy analysis of the LEICA HDS 3000 and feasibility in tunnel deformation monitoring. In Proceedings ISPRS Works. Laser Scan., Enschede, The Netherlands, 2005; Volume XXXVI, Part 3/W3, pp 24-29.
37. Hodge, R.A. Using simulated terrestrial laser scanning to analyse errors in high-resolution scan data of irregular surfaces. ISPRS J. Photogram. Remote Sens. 2010, 65, 227-240.
38. Hebert, M.; Krotkov, E. 3D measurements from imaging laser radars: How good are they? Image Vision Comput. 1992, 10, 170-178.
39. Takenaka, A.; Inui, Y.; Osawa, A. Measurement of three-dimensional structure of plants with a simple device and estimation of light capture of individual leaves. Funct. Ecol. 1998, 12, 159-165.
40. Norman, J.M.; Campbell, G.S. Canopy structure. In Plant Physiology Ecology; Pearcy, R.W., Ehleringer, J.R., Mooney, H.A., Rundell, P.W., Eds.; Chapman & Hall: London, UK, 1989; pp. 301-325.
41. Thanisawanyangkura, S.; Sinoquet, H.; Rivet, P.; Cretenet, M.; Jallas, E. Leaf orientation and sunlight leaf area distribution in cotton. Agr. Forest Meteorol. 1997, 86, 1-15.
42. Sinoquet H; Thanisawanyangkura, S.; Mabrouk, H.; Kasemsap, P. Characterization of the light environment in canopies using 3D digitizing and image processing. Ann. Bot. 1998, 82, 203-212.
43. Popescu, S.C; Zhao, K. A voxel-based lidar method for estimating crown base height for deciduous and pine trees. Remote Sens. Environ. 2008, 112, 767-781.
44. Van der Zande, D.; Mereu, S.; Nadezhdina, N.; Cermak, J.; Muys, B.; Coppin, P.; Manes, F. 3D upscaling of transpiration from leaf to tree using ground-based LiDAR: Application on a Mediterranean Holm oak (Quercus ilex L.) tree. Agr. Forest Meteorol. 2009, 149, 1573-1583.
45. Hosoi, F.; Nakai, Y.; Omasa, K. Estimating the leaf inclination angle distribution of the wheat canopy using a portable scanning lidar. J. Agric. Meteorol. 2009, 65, 297-302.
46. Chambelland. J.-C.; Dassot, M.; Adam, B.; Donès, N.; Balandier, P.; Marquier, A.; Saudreau, M.; Sonohat, G.; Sinoquet, H. A double-digitizing method for building 3D virtual trees with non-planar leaves: Application to the morphology and light-capture properties of young beech trees (Fagus sylvatica). Funct. Plant Biol. 2008, 35, 1059-1069.
47. Wu, T.P.; Tang, C.K. Separating specular, diffuse, and subsurface scattering reflectances from photometric images. Lect. Note. Comput. Sci. 2004, 3022, 419-433.
48. Baugher, T.A. Anatomy and taxonomy. In Concise Encyclopedia of Template Tree Fruit; Baugher, T.A., Singha, S., Eds.; Food Product Press, The Haworth Press: New York, NY, USA, 2004; Chapter 1, pp. 3-10.
49. Eitel, J.U.H.; Vierling, L.A.; Long, D.S. Simultaneous measurements of plant structure and chlorophyll content in broadleaf sapling with a terrestrial laser scanner. Remote Sens. Environ. 2010, 114, 2229-2237.
50. Wagner, W. Radiometric calibration of small-footprint full-waveform airborne laser scanner measurements: Basic physical concepts. ISPRS J. Photogram. 2010, 65, 505-513.
51. Kukko, A.; Hyyppä, J. Laser scanner simulator for system analysis and algorithm development: A case with forest measurements. Presented at the ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, Espoo, Finland, 12-14 September 2007.
52. Jensen, J.R. Remote sensing of vegetation. In Remote Sensing of the Environment, an Earth Resource Perspective; Kaveney, D., Griffith A., Eds.; Prentice Hall: Upper Saddle River, NJ, USA, 2000; Chapter 10, pp. 333-378.
53. Delalieux, S.; Somers, B.; Verstraeten, W.W.; Van Aardt, J.A.N.; Keulemans, W.; Coppin, P. Hyperspectral indices to diagnose leaf biotic stress of Apple plants, considering leaf phenology. Int. J. Remote Sens. 2009, 30, 1887-1912.
54. Bousquet, L.; Lachérade, S.; Jacquemoud, S.; Moya, I. Leaf BRDF measurements and model for specular and diffuse components differentiation. Remote Sens. Environ. 2005, 98, 201-211.
55. Kühnel, W. The Gauss map and the curvature of surfaces. In Differential Geometry; Bressoud, D.; Pomerance, C., Devaney, R., Wu, H.H., Eds.; American Mathematical Society: Ann Arbor, MI, USA, 2002; Chapter 3B, pp. 64-74.
56. Pfeifer, N.; Höfle, B.; Briese, C.; Rutzinger, M.; Haring, A. Analysis of the backscattered energy in terrestrial laser scanning data. In Proceedings of The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China, 3-11 July 2008; Volume XXXVII, Part B5, pp. 1045-1052.
57. Mederos, B.; Velho, L.; De Figueiredo, L.H. Robust smoothing of noisy point clouds. In Proceedings of SIAM Conference on Geometric Design and Computing, Seattle, DC, USA, 9 November 2003.
58. Pfeifer, N.; Gorte, B.; Winterhalder, D. Automatic reconstruction of single trees from terrestrial laser scanner data. In Proceedings of The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Istanbul, Turkey, 12-23 July 2004; Volume XXXV.