A voxel-based method for automated identification and morphological parameters estimation of individual street trees from mobile laser scanning data

Remote Sensing

Volumn 5, Issue 2, 2013, Pages 584-611

  Wu, Bin ^a   Yu, Bailang ^a   Yue, Wenhui ^a   Shu, Song ^a   Tan, Wenqi ^b   Hu, Chunling ^b   Huang, Yan ^a   Wu, Jianping ^a   Liu, Hongxing ^c  

^a East China Normal University   (China)

^b Shanghai Landscape and City Appearance Administration Information Center   (China)

^c UNIVERSITY OF CINCINNATI   (United States)

Author keywords

Competing growing; Mobile Laser Scanning (MLS); Morphological parameters; Neighborhood search; point cloud data; Street trees; Vehicle borne Laser Scanning (VLS); Voxel

Indexed keywords

LASER SCANNING; MORPHOLOGICAL PARAMETERS; NEIGHBORHOOD SEARCH; POINT CLOUD DATA; STREET TREES; VOXEL;

LASER APPLICATIONS;

FORESTRY;

DATA; FORESTRY; LASERS; SCANNING; TREES;

EID: 84874784276     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5020584     Document Type: Article

References (50)

1. Stovin, V.R.; Jorgensen, A.; Clayden, A. Street trees and stormwater management. Arboricul. J. 2008, 30, 297-310.
2. Ries, K.; Eichhorn, J. Simulation of effects of vegetation on the dispersion of pollutants in street canyons. Meteorologische Zeitschrift 2001, 10, 229-233.
3. Tallis, M.; Taylor, G.; Sinnett, D.; Freer-Smith, P. Estimating the removal of atmospheric particulate pollution by the urban tree canopy of London, under current and future environments. Landsc. Urban Plan. 2011, 103, 129-138.
4. Gromke, C.; Buccolieri, R.; Di Sabatino, S.; Ruck, B. Dispersion study in a street canyon with tree planting by means of wind tunnel and numerical investigations-Evaluation of CFD data with experimental data. Atmos. Environ. 2008, 42, 8640-8650.
5. Fang, C.F.; Ling, D.L. Investigation of the noise reduction provided by tree belts. Landsc. Urban Plan. 2003, 63, 187-195.
6. Ali-Toudert, F.; Mayer, H. Effects of asymmetry, galleries, overhanging facades and vegetation on thermal comfort in urban street canyons. Sol. Energy 2007, 81, 742-754.
7. Mackey, C.W.; Lee, X.; Smith, R.B. Remotely sensing the cooling effects of city scale efforts to reduce urban heat island. Build. Environ. 2012, 49, 348-358.
8. Shashua-Bar, L.; Hoffman, M.E. Vegetation as a climatic component in the design of an urban street-An empirical model for predicting the cooling effect of urban green areas with trees. Energy Build. 2000, 31, 221-235.
9. Akbari, H. Shade trees reduce building energy use and CO2 emissions from power plants. Environ. Pollut. 2002, 116, S119-S126.
10. Jutras, P.; Prasher, S.O.; Mehuys, G.R. Prediction of street tree morphological parameters using artificial neural networks. Comput. Electron. Agric. 2009, 67, 9-17.
11. Gilbertson, P.; Bradshaw, A.D. The survival of newly planted trees in inner cities. Arboricul. J. 1990, 14, 287-309.
12. Nowak, D.J.; McBride, J.R.; Beatty, R.A. Newly planted street tree growth and mortality. J. Arboricul. 1990, 16, 124-129.
13. Gong, P.; Li, Z.; Huang, H.B.; Sun, G.Q.; Wang, L. ICESat GLAS Data for urban environment monitoring. IEEE Trans. Geosci. Remote Sens. 2011, 49, 1158-1172.
14. Lefsky, M.; McHale, M. Volume estimates of trees with complex architecture from terrestrial laser scanning. J. Appl. Remote Sens. 2008, doi:10.1117/1.2939008.
15. Van der Zande, D.; Hoet, W.; Jonckheere, L.; 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.
16. Van der Zande, D.; Jonckheere, I.; Stuckens, J.; Verstraeten, W.W.; Coppin, P. Sampling design of ground-based lidar measurements of forest canopy structure and its effect on shadowing. Can. J. Remote Sens. 2008, 34, 526-538.
17. Yu, B.; Liu, H.; Wu, J.; Lin, W.-M. Investigating impacts of urban morphology on spatio-temporal variations of solar radiation with airborne LIDAR data and a solar flux model: A case study of downtown Houston. Int. J. Remote Sens. 2009, 30, 4359-4385.
18. Haala, N.; Brenner, C. Extraction of buildings and trees in urban environments. ISPRS J. Photogram. 1999, 54, 130-137.
19. Yu, B.; Liu, H.; Wu, J.; Hu, Y.; Zhang, L. Automated derivation of urban building density information using airborne LiDAR data and object-based method. Landsc. Urban Plan. 2010, 98, 210-219.
20. Ma, R.J. DEM generation and building detection from Lidar data. Photogramm. Eng. Remote Sensing 2005, 71, 847-854.
21. Huang, Y.; Yu, B.; Hu, Z.; Wu, J.; Wu, B. Locating Suitable Roofs for Utilization of Solar Energy in Downtown Area Using Airborne LiDAR Data and Object-Based Method: A Case Study of the Lujiazui Region, Shanghai. In Proceedings of 2012 Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA), Shanghai, China, 8-11 June 2012; pp. 322-326.
22. Hecht, R.; Meinel, G.; Buchroithner, M.F. Estimation of urban green volume based on single-pulse LiDAR data. IEEE Trans. Geosci. Remote Sens. 2008, 46, 3832-3840.
23. Huang, Y.; Yu, B.; Zhou, J.; Hu, C.; Tan, W.; Hu, Z.; Wu, J. Toward automatic estimation of urban green volume using airborne LiDAR data and high resolution Remote Sensing images. Front. Earth Sci. 2012, Online First, doi: 10.1007/s11707-11012-10339-11706.
24. Secord, J.; Zakhor, A. Tree detection in urban regions using aerial lidar and image data. IEEE Geosci. Remote Sens. Lett. 2007, 4, 196-200.
25. Kim, S.; Hinckley, T.; Briggs, D. Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data. Remote Sens. Environ. 2011, 115, 3329-3342.
26. Wang, L.; Birt, A.; Lafon, C.; Cairns, D.; Coulson, R.; Tchakerian, M.; Xi, W.; Popescu, S.; Guldin, J. Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey. Geoinformatica 2011, 17, 35-61.
27. Zhao, H.J.; Shibasaki, R. A vehicle-borne urban 3-D acquisition system using single-row laser range scanners. IEEE Trans. Syst. Man Cybern. B 2003, 33, 658-666.
28. Lehtomäki, M.; Jaakkola, A.; Hyyppä, J.; Kukko, A.; Kaartinen, H. Detection of vertical pole-like objects in a road environment using vehicle-based laser scanning data. Remote Sens. 2010, 2, 641-664.
29. Yang, B.; Wei, Z.; Li, Q.; Li, J. Automated extraction of street-scene objects from mobile lidar point clouds. Int. J. Remote Sens. 2012, 33, 5839-5861.
30. Graham, L. Mobile mapping systems overview. Photogramm. Eng. Remote Sensing 2010, 76, 222-228.
31. Jaakkola, A.; Hyyppa, J.; Hyyppa, H.; Kukko, A. Retrieval algorithms for road surface modelling using laser-based mobile mapping. Sensors 2008, 8, 5238-5249.
32. Manandhar, D.; Shibasaki, R. Vehicle-Borne Laser Mapping System (VLMS) for 3-D GIS. In Proceedings of 2001 International Geoscience and Remote Sensing Symposium (IGARSS 2001), Sydney, NSW, Australia, 9-3 July 2001; pp. 2073-2075.
33. Li, B.; Li, Q.; Shi, W.; Wu, F. Feature extraction and modeling of urban building from vehicle-borne laser scanning data. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2004, 35, 934-939.
34. Zhu, L.; Hyyppä, J.; Kukko, A.; Kaartinen, H.; Chen, R. Photorealistic building reconstruction from mobile laser scanning data. Remote Sens. 2011, 3, 1406-1426.
35. Jaakkola, A.; Hyyppa, J.; Kukko, A.; Yu, X.W.; Kaartinen, H.; Lehtomaki, M.; Lin, Y. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS J. Photogram. 2010, 65, 514-522.
36. Hu, Y.; Li, X.; Xie, J.; Guo, L. A Novel Approach to Extracting Street Lamps from Vehicle-Borne Laser Data. In Proceedings of 2011 19th International Conference on Geoinformatics (Geoinformatics 2011), Shanghai, China, 24-26 June 2011.
37. Lin, Y.; Jaakkola, A.; Hyyppä, J.; Kaartinen, H. From TLS to VLS: Biomass estimation at individual tree level. Remote Sens. 2010, 2, 1864-1879.
38. Alexander, C. Delineating tree crowns from airborne laser scanning point cloud data using Delaunay triangulation. Int. J. Remote Sens. 2009, 30, 3843 - 3848.
39. Wang, M.; Tseng, Y.-H. Incremental segmentation of lidar point clouds with an octree-structured voxel space. Photogramm. Rec. 2011, 26, 32-57.
40. Yu, X.W.; Hyyppa, J.; Vastaranta, M.; Holopainen, M.; Viitala, R. Predicting individual tree attributes from airborne laser point clouds based on the random forests technique. ISPRS J. Photogram. 2011, 66, 28-37.
41. Edson, C.; Wing, M.G. Airborne Light Detection and Ranging (LiDAR) for individual tree stem location, height, and biomass measurements. Remote Sens. 2011, 3, 2494-2528.
42. Shen, Y.; Sheng, Y.; Zhang, K.; Tang, Z.; Yan, S. Feature extraction from vehicle-borne laser scanning data. Proc. SPIE 2008, doi: 10.1117/12.814958.
43. Rutzinger, M.; Pratihast, A.K.; Elberink, S.J.O.; Vosselman, G. Tree modelling from mobile laser scanning data-sets. Photogramm. Rec. 2011, 26, 361-372.
44. Pu, S.; Rutzinger, M.; Vosselman, G.; Oude Elberink, S. Recognizing basic structures from mobile laser scanning data for road inventory studies. ISPRS J. Photogram. 2011, 66, S28-S39.
45. Pollard, T.B.; Eden, I.; Mundy, J.L.; Cooper, D.B. A volumetric approach to change detection in satellite images. Photogramm. Eng. Remote Sensing 2010, 76, 817-831.
46. 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.
47. Liu, H.X.; Wang, L.; Jezek, K.C. Automated delineation of dry and melt snow zones in antarctica using active and passive microwave observations from space. IEEE Trans. Geosci. Remote Sens. 2006, 44, 2152-2163.
48. Popescu, S.C.; Wynne, R.H.; Nelson, R.F. Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Can. J. Remote Sens. 2003, 29, 564-577.
49. Holmgren, J.; Persson, A. Identifying species of individual trees using airborne laser scanner. Remote Sens. Environ. 2004, 90, 415-423.
50. Lee, H.; Slatton, K.C.; Roth, B.E.; Cropper, W.P. Adaptive clustering of airborne LiDAR data to segment individual tree crowns in managed pine forests. Int. J. Remote Sens. 2010, 31, 117-139.