Characterization of mobile LiDAR data collected with multiple echoes per pulse from crowns during foliation

Scandinavian Journal of Forest Research

Volumn 27, Issue 3, 2012, Pages 298-311

  Lin, Yi ^a   Hyyppä, Juha ^a   Jaakkola, Anttoni ^a   Holopainen, Markus ^b  

^a FINNISH GEODETIC INSTITUTE   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

feature; foliation; Light detection and ranging (LiDAR); mobile laser scanning (MLS); multi echoes; relative quantification

Indexed keywords

FEATURE; FOLIATION; LIGHT DETECTION AND RANGING (LIDAR); MOBILE LASER SCANNING (MLS); MULTI-ECHOES; RELATIVE QUANTIFICATION;

FORESTRY; LASER APPLICATIONS;

OPTICAL RADAR;

DATA PROCESSING; LASERS; LIGHT; OPTICAL ACTIVITY; RADAR; SCANNING;

EID: 84859494304     PISSN: 02827581     EISSN: 16511891     Source Type: Journal    
DOI: 10.1080/02827581.2011.635154     Document Type: Article

References (51)

1. Alamus, R., Baron, A., Casacuberta, J., Pla, M., Sànchez, S., Serra, A. et al. 2005. GEOMOBIL: ICC land-based mobile mapping system for cartographic data capture. Paper presented at the 22nd International Cartographic Conference, July 9-16 A Coruna Spain.
2. Alho, P., Kukko, A., Hyyppä, H., Kaartinen, H., Hyyppä, J. and Jaakkola, A. 2009. Application of boat-based laser river survey. Earth Surface Processes and Landforms, 34: 1831-1838.
3. Anaya, J. A., Chuvieco, E. and Palacios-Orueta, A. 2009. Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management, 257: 1237-1246.
4. Axelsson, P. 1999. Processing of laser scanner data-algorithms and applications. ISPRS Journal of Photogrammetry & Remote Sensing, 54: 138-147.
5. Barber, D., Mills, J. and Voysey, S. S. 2008. Geometric validation of a ground-based mobile laser scanning system. ISPRS Journal of Photogrammetry & remote Sensing, 63: 128-141.
6. Bock, J., Dambrine, E., Dez, G., Dupouey, J. L., Georges-Leroy, M., Jolly, A. et al. 2009. Towards site index mapping in deciduous stands using multi-echo LIDAR data. Paper presented at the IUFRO Division 4 Meeting-"Extending Forest Inventory and Monitoring over Space and Time" May 19-26, Quebec, Canada.
7. Bretar, F., Chauve, A., Mallet, C. and Jutzi, B. 2008. Managing full waveform LiDAR data: A challenging task for the forthcoming years. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37: 415-420.
8. Chen, Q. 2010. Retrieving vegetation height of forests and woodlands over mountainous areas in the Pacific Coast region using satellite laser altimetry. Remote Sensing of Environment, 113: 1610-1627.
9. Clarke, K. C. 2004. Mobile mapping and geographic information systems. Cartography and Geographic Information Science, 31: 131-136.
10. Dalponte, M., Coops, N. C., Bruzzone, L. and Gianelle, D. 2009. Analysis on the use of multiple returns LiDAR data for the estimation of tree stems volume. IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2: 310-318.
11. Edelsbrunner, H. and Mücke, E. 1994. Three-dimensional alpha shapes. ACM Transactions on Graphics, 13: 43-72.
12. Goulette, F., Nashashibi, F., Abuhadrous, I., Ammoun, S. & Laurgeau, C. 2006. An integrated on-board laser range sensing system for on-the-way city and road modelling. Paper presented at the ISPRS Commission I Symposium-"From Sensors to Imagery", July 3-6, Paris, France.
13. Graham, L. 2010. Mobile mapping systems overview. Photogrammetric Engineering & Remote Sensing, 76: 222-228.
14. Heinzel, J. and Koch, B. 2011. Exploring full-waveform LiDAR parameters for tree species classification. International Journal of Applied Earth Observation and Geoinformation, 13: 152-160.
15. Holopainen, M., Vastaranta, M., Kankare, V., Hyyppä, J., Liang, X., Litkey, P. et al. 2011. The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees. Paper presented at the Joint Urban Remote Sensing Event 2011, April 11-13, Munich, Germany.
16. Hopkinson, C. and Chasmer, L. 2009. Testing LiDAR models of fractional cover across multiple forest ecozones. Remote Sensing of Environment, 113: 275-288.
17. Hosoi, F. and Omasa, K. 2006. Voxel-based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning LiDAR. IEEE Transactions on Geoscience and Remote Sensing, 44: 3610-3618.
18. Jaakkola, A., Hyyppä, J., Hyyppä, H. and Kukko, A. 2008. Retrieval algorithms for road surface modelling using Laser-based mobile mapping. Sensors, 8: 5238-5249.
19. Jaakkola, A., Hyyppä, J., Kukko, A., Yu, X., Kaartinen, M.Lehtomäki, M. 2010. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS Journal of Photogrammetry and Remote Sensing, 65: 514-522.
20. Jutzi, B. and Stilla, U. 2006. Range determination with waveform recording laser systems using a Wiener Filter. ISPRS Journal of Photogrammetry and Remote Sensing, 61: 95-107.
21. Kaasalainen, S., Kaartinen, H. and Kukko, A. 2008. Snow cover change detection with laser scanning range and brightness measurements. EARSeL eProceedings, 7: 133-141.
22. Kirchhof, M., Jutzi, B. and Stilla, U. 2008. Iterative processing of laserscanning data by full waveform analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 63: 99-114.
23. Kukko, A., Andrei, C. O., Salminen, V. M., Kaartinen, H., Chen, Y.Rönnholm, P. 2007. Road environment mapping system of the Finnish Geodetic Institute-FGI Roamer. International Archives of Photogrammetry & Remote Sensing, 36: 241-247.
24. Larcher, W. 2001. Physiological plant ecology, 4th ed, Heidelberg: Springer-Verlag.
25. Lehtomäki, M., Jaakkola, A., Hyyppä, J., Kukko, A. and Kaartinen, H. 2010. Detection of vertical pole-like objects in a road environment using vehicle-based laser scanning data. Remote Sensing, 2: 641-664.
26. Lin, Y. & Hyyppä, J. 2010. Geometry and intensity based culvert detection in mobile laser scanning point clouds. Journal of Applied Remote Sensing, 4, Article Number: 043553
27. Lin, Y. and Hyyppä, J. 2011. k-segments-based geometric modeling of VLS scan lines. IEEE Geosciences and Remote Sensing Letters, 8: 93-97.
28. Lin, Y. & Hyyppä, J. submitted. Enhancing individual crown reconstruction by mirroring single-scan MLS data with its multi-echoes as self-indicators for correction. Trees-Structure and Function.
29. Lin, Y., Hyyppä, J. and Jaakkola, A. 2011. Mini-UAV-borne Lidar for fine-scale mapping. IEEE Geoscience and Remote Sensing Letters, 8: 426-430.
30. Lin, Y., Jaakkola, A., Hyyppä, J. and Kaartinen, H. 2010. From TLS to VLS: Biomass estimation at individual tree level. Remote Sensing, 2: 1864-1879.
31. Mallet, C. and Bretar, F. 2009. Full-waveform topographic lidar: State-of-the-art. ISPRS Journal of Photogrammetry and Remote Sensing, 64: 1-16.
32. McRoberts, R. E., Cohen, W. B., Næsset, E., Stehman, S. V. and Tomppo, E. O. 2010. Using remotely sensed data to construct and assess forest attribute maps and related spatial products. Scandinavian Journal of Forest Research, 25: 340-367.
33. Mettenleiter, M., Obertreiber, N., Härtl, F., Ehm, M., Baur, J. & Fröhlich, C. 2008. 3D laser scanner as part of kinematic measurement systems. Paper presented at the 1st International Conference on Machine Control & Guidance, June 24-26, Zurich, Switzerland.
34. Morsdorf, F., Ketz, B., Meier, E., Itten, K. and Allgöwer, B. 2006. Estimation of LAI and fractional cover from small footprint airborne laser scanning data based on gap fraction. Remote Sensing of Environment, 104: 50-61.
35. Palleja, T., Tresanchez, M., Teixido, M., Sanz, R., Rosell, J. R. and Palacin, J. 2010. Sensitivity of tree volume measurement to trajectory errors from a terrestrial LiDAR scanner. Agricultural and Forest Meteorology, 150: 1420-1427.
36. Persson, Å., Söderman, U., Töpel, J. and Ahlberg, S. 2005. Visualization and analysis of fullwave form airborne laser scanner data. International Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences, 36: 103-108.
37. Petrie, G. 2010. An introduction to the technology Mobile Mapping Systems. Geoinformatics, 1, 32-43.
38. Reitberger, J., Schnörr, Cl., Krzystek, P. & Stilla, U. 2009. 3D segmentation of single trees exploiting full waveform LiDAR data. ISPRS Journal of Photogrammetry and Remote Sensing, 64, 561-574.
39. Richardson, J. J., Moskal, L. M. and Kim, S. H. 2009. Modeling approaches to estimate effective leaf area index from aerial discrete-return LiDAR. Agricultural and Forest Meteorology, 149: 1152-1160.
40. Rosell, J. R., Llorens, J., Sanz, R., Arno, J., Ribes-Dasi, M.Masip, J. 2009. Obtaining the three-dimensional structure of tree orchards from remote 2D terrestrial LiDAR scanning. Agricultural and Forest Meteorology, 149: 1505-1515.
41. Rutzinger, M., Pratihast, A. K., Elberink, S. O. and Vosselman, G. 2010. Detection and modeling of 3D trees from mobile laser scanning data. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 38: 520-525.
42. Solberg, S. 2010. Mapping gap fraction, LAI and defoliation using various ALS penetration variables. International Journal of Remote Sensing, 31: 1227-1244.
43. Solberg, S., Næsset, E., Hanssen, K. H. and Christiansen, E. 2006. Mapping defoliation during a severe insect attack on Scots pine using airborne laser scanning. Remote Sensing of Environment, 102: 364-376.
44. Tukey, J. W. 1977. Exploratory data analysis. Reading, MA: Addison-Wesley.
45. Véga, C. and St-Onge, B. 2009. Mapping site index and age by linking a time series of canopy height models with growth curves. Forest Ecology and Management, 257: 951-959.
46. Wagner, W., Hollaus, M., Briese, C. and Ducic, V. 2008. 3D vegetation mapping using small-footprint full-waveform airborne laser scanners. International Journal of Remote Sensing, 29: 1433-1452.
47. Wang, C., Menenti, M., Stoll, M. P., Alessandra, F., Enrica, B. and Marco, M. 2009. Separation of ground and low vegetation signatures in LiDAR measurements of salt-marsh environments. IEEE Transactions on Geoscience and Remote Sensing, 47: 2014-2023.
48. Yu, S., Sukumar, S. R., Koschan, A. F., Page, D. L. and Abidi, M. A. 2007. 3D reconstruction of road surfaces using an integrated multi-sensory approach. Optics and Lasers in Engineering, 45: 808-818.
49. Zande, D. V., Mereu, S., Nadezhdina, N., Cermak, J., Muys, B.Coppin, P. 2009. 3D upscaling of transpiration from leaf to tree using ground-based LiDAR: Application on a Mediterranean Holm oak (Quercus ilex L.) tree. Agricultural and Forest Meteorology, 149: 1573-1583.
50. Zhao, H. and Shibasaki, R. 2003. A vehicle-borne urban 3-D acquisition system using single-row laser range scanners. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics, 33: 658-666.
51. Zhao, H. and Shibasaki, R. 2005. Updating a digital geographic database using vehicle-borne laser scanners and line cameras. Photogrammetric Engineering & Remote Sensing, 71: 415-424.