Estimating Tree Height Distribution Using Low-Density ALS Data With and Without Training Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 8, Issue 4, 2015, Pages 1432-1441

  Mehtátalo, Lauri ^a   Virolainen, Anni ^a   Tuomela, Jukka ^a   Packalen, Petteri ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

Author keywords

Airborne laser scanning (ALS); eucalyptus; forest inventory; height; recovery; stochastic geometry

Indexed keywords

GEOMETRY; LASER APPLICATIONS; RANDOM PROCESSES; RECOVERY; STOCHASTIC SYSTEMS; SURFACE ANALYSIS;

AIRBORNE LASER SCANNING; EUCALYPTUS; FOREST INVENTORY; HEIGHT; STOCHASTIC GEOMETRY;

FORESTRY;

AIRBORNE SENSING; CANOPY; FOREST INVENTORY; GEOMETRY; HEIGHT; STOCHASTICITY; TREE;

EUCALYPTUS; FORESTS; GEOMETRY; INFORMATION RETRIEVAL; RANDOM PROCESSES;

EUCALYPTUS;

EID: 85027953187     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2418675     Document Type: Article

References (37)

1. C. Babcock, J. Matney, A. Finley, A. Weiskittel, and B. Cook, "Multivariate spatial regression models for predicting individual tree structure variables using LiDAR data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 1, pp. 6-14, Feb. 2013.
2. Z. Fang and C. Cao, "Estimation of forest canopy height over mountainous areas using satellite LiDAR," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 7, pp. 3157-3166, Jul. 2014.
3. J. Hyyppä and M. Inkinen, "Detecting and estimating attributes for single trees using laser scanner," Photogramm. J. Finland, vol. 16, pp. 27-42, 1999.
4. A. Persson, J. Holmgren, and U. Söderman, "Detecting and measuring individual trees using airborne laser scanner," Photogramm. Eng. Remote Sens., vol. 68, pp. 925-932, 2002.
5. E. Næsset, "Estimating timber volume of forest stands using airborne laser scanner data," Remote Sens. Environ., vol. 61, pp. 246-253, 1997.
6. P. Packalén and M. Maltamo, "The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs," Remote Sens. Environ., vol. 109, pp. 328-341, 2007.
7. E. Næsset et al., "Laser scanning of forest resources: The nordic experience," Scand. J. For. Res., vol. 19, pp. 482-499, 2004.
8. R. Wack, M. Schardt, U. Lohr, L. Barrucho, and T. Oliveira, "Forest inventory for eucalyptus plantations based on airborne laser scanner data," Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., vol. 34, pp. 40-46, 2003.
9. P. K. Tickle, A. Lee, R. M. Lucas, J. Austin, and C. Witte, "Quantifying australian forest and woodland structure and biomass using large scale photography and small footprint LiDAR," For. Ecol. Manage., vol. 223, pp. 379-394, 2006.
10. S. Tesfamichael, J. van Aardt, and F. Ahmed, "Estimating plot-level tree height and volume of Eucalyptus grandis plantations using small-footprint, discrete return LiDAR data," Prog. Phys. Geogr., vol. 34, no. 4, pp. 515-540, 2010 [Online]. Available: http://ppg.sagepub.com/content/34/4/515.abstract
11. N. Coops et al., "Estimating canopy structure of douglas-fir forest stands from discrete-return LiDAR," Trees, vol. 21, pp. 295-310, 2007.
12. T. J. Dean, Q. V. Cao, S. D. Roberts, and D. L. Evans, "Measuring heights to crown base and crown median with LiDAR in a mature, evenaged loblolly pine stand," For. Ecol. Manage., vol. 257, pp. 126-133, 2009.
13. D. Jaskierniak, P. Lane, A. Robinson, and A. Lucieer, "Extracting LiDAR indices to characterise multilayered forest structure using mixture distribution functions," Remote Sens. Environ., vol. 115, pp. 563-585, 2011.
14. A. Ferraz et al., "3-D mapping of a multi-layered mediterranean forest using ALS data," Remote Sens. Environ., vol. 121, pp. 210-223, 2012.
15. M. Melin et al., "Moose (Alces alces) reacts to high summer temperatures by utilizing thermal shelters in boreal forests: An analysis based on airborne laser scanning of the canopy structure at moose locations," Global Change Biol., vol. 20, no. 4, pp. 1115-1125, 2014 [Online]. Available: http://dx.doi.org/10.1111/gcb.12405
16. L. Mehtätalo, J. Nyblom, and A. Virolainen, "A model-based approach for the recovery of forest attributes using ALS data," in Forestry Applications of Airborne Laser Scanning-Concepts and Case Studies, M. Maltamo, E. Næsset, and J. Vauhkonen, Eds. New York, NY, USA: Springer, 2014, pp. 193-211.
17. S. N. Chiu, D. Stoyan, W. S. Kendall, and J. Mecke, Stochastic Geometry and Its Applications, 3rd ed. Hoboken, NJ, USA: Wiley, 2013.
18. S. Magnussen, P. Eggermont, and V. N. LaRiccia, "Recovering tree heights from airborne laser scanner data," For. Sci., vol. 45, pp. 407-422, 1999.
19. G. Sun and K. J. Ranson, "Modeling LiDAR returns from forest canopies," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 6, pp. 2617-2626, Nov. 2000.
20. W. Ni-Meister, D. L. B. Jupp, and R. Dubayah, "Modeling LiDAR waveforms in heterogeneous and discrete canopies," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 9, pp. 1943-1958, Sep. 2001.
21. J. L. Lovell, D. L. B. Jupp, D. S. Culvenor, and N. C. Coops, "Using airborne and ground-based ranging LiDAR to measure canopy structure in Australian forests," Can. J. Remote Sens., vol. 29, no. 5, pp. 607-622, 2003.
22. L. Mehtätalo and J. Nyblom, "Estimating forest attributes using observations of canopy height: A model-based approach," For. Sci., vol. 55, no. 5, pp. 411-422, 2009.
23. L. Mehtätalo and J. Nyblom, "A model-based approach for ALS inventory: Application for square grid spatial pattern," For. Sci., vol. 58, pp. 106-118, 2012.
24. L. Mehtätalo, A. Virolainen, J. Tuomela, and J. Nyblom, "A model-based approach for estimating the height distribution of eucalyptus plantations using low-density ALS data," in Proc. SilviLaser, 2010, pp. 295-324.
25. M. Rautiainen, M. Mõttus, P. Stenberg, and S. Ervasti, "Crown envelope shape measurements and models," Silva Fennica, vol. 42, no. 1, pp. 19-33, 2008.
26. M. Näslund, "Skogsförsöksanstaltens gallringsförsök i tallskog (Forest research intitute's thinning experiments in Scots pine forests)," Meddelanden från statens skogsförsöksanstalt Häfte 29, 1937, (in Swedish).
27. P. Axelsson, "DEM generation from laser scanner data using adaptive TIN models," Int. Arch. Photogramm. Remote Sens., vol. 54, pp. 138-147, 2000.
28. R. Bailey and T. Dell, "Quantifying diameter distributions with the Weibull function," For. Sci., vol. 19, pp. 97-104, 1973.
29. J. Siipilehto and L. Mehtätalo, "Parameter recovery vs. parameter prediction for the Weibull distribution validated for Scots pine stands in Finland," Silva Fennica, vol. 47, no. 4, pp. 1-22, 2013 [Online]. Available: http://www.silvafennica.fi/article/1057
30. D. L. Gaveau and R. A. Hill, "Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data," Can. J. Remote Sens., vol. 29, no. 5, pp. 650-657, 2003.
31. P. Packalén, L. Mehtätalo, and M. Maltamo, "ALS-based estimation of plot volume and site index in a eucalyptus plantation with a nonlinear mixed-effect model that accounts for the clone effect," Ann. For. Sci., vol. 68, pp. 1085-1092, 2011.
32. L. Goncalves-Seco et al., "Assessing the attributes of high-density eucalyptus globulus stands using airborne laser scanner data," Int. J. Remote Sens., vol. 32, no. 24, pp. 9821-9841, 2011.
33. J. Vauhkonen, L. Mehtätalo, and P. Packalén, "Combining tree height samples produced by airborne laser scanning and stand management records to estimate plot volume in eucalyptus plantations," Can. J. For. Res., vol. 41, no. 8, pp. 1649-1658, 2011.
34. S. Solberg et al., "Mapping LAI in a Norway spruce forest using airborne laser scanning," Remote Sens. Environ., vol. 113, pp. 2317-2327, 2009.
35. J.-M. Marin, P. Pudlo, C. Robert, and R. Ryder, "Approximate Bayesian computational methods," Stat. Comput., vol. 22, pp. 1167-1180, 2012.
36. T. Lähivaara et al., "A model for predicting the growth of eucalyptus globulus seedling stands in bolivia," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 5, pp. 2690-2699, 2014.
37. J. Vauhkonen and L. Mehtätalo, "Matching remotely sensed and field measured tree size distributions," Can. J. For. Res., vol. 45, no. 3, pp. 353-363, 2015.