Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 61, Issue 5, 2007, Pages 325-340

  Brandtberg, Tomas ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Calibration; Forestry; Lidar; Segmentation; Species classification

Indexed keywords

CALIBRATION; DATA STRUCTURES; FORESTRY; IMAGE SEGMENTATION; SAMPLING;

AIRBORNE LIDAR; DIRECTED GRAPH (DIGRAPH); SPECIES CLASSIFICATION;

OPTICAL RADAR;

AIRBORNE SENSING; AIRBORNE SURVEY; CALIBRATION; FORESTRY; LEAF AREA; LIDAR; TREE; VEGETATION CLASSIFICATION;

CALIBRATION; DATA BASES; FORESTRY; RADAR; SEGMENTATION;

NORTH AMERICA; UNITED STATES; WEST VIRGINIA;

ACER RUBRUM; LIRIODENDRON TULIPIFERA; QUERCUS;

EID: 33845683509     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2006.10.006     Document Type: Article

References (41)

1. Alt F.L. Digital pattern recognition by moments. Journal of the ACM 9 2 (1962) 240-258
2. Bortolot Z.J., and Wynne R.H. Estimating forest biomass using small footprint lidar data: an individual tree-based approach that incorporates training data. ISPRS Journal of Photogrammetry and Remote Sensing 59 6 (2005) 342-360
3. Brandtberg, T., 1999. Automatic individual tree-based analysis of high spatial resolution remotely sensed data. Silvestria 118, PhD Thesis, Centre for Image Analysis, Swedish University of Agricultural Sciences, Uppsala, Sweden.
4. Brandtberg T. Individual tree-based species classification in high spatial resolution aerial images of forests using fuzzy sets. Fuzzy Sets and Systems 132 3 (2002) 371-387
5. Brandtberg T., and Warner T.A. High-spatial-resolution remote sensing. In: Shao G., and Reynolds K.M. (Eds). Computer Applications in Sustainable Forest Management, Series: Managing Forest Ecosystems vol. 11 (2006), Springer, Dordrecht Chapter 2
6. Brandtberg T., Warner T.A., Dow J.W., Landenberger R.E., and McGraw J.B. Leaf-off detection of individual tree crowns in lidar data from the eastern deciduous forest in West Virginia. Proc. Third International Conference on Geospatial Information in Agriculture and Forestry, Denver, Colorado, 5-7 November (2001) 8 pp. (on CDROM)
7. Brandtberg T., Warner T.A., Landenberger R.E., and McGraw J.B. Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America. Remote Sensing of Environment 85 3 (2003) 290-303
8. Brandtberg T., Warner T.A., Landenberger R.E., and McGraw J.B. The influence of the forest type on the design of an autonomous system for individual tree-based analysis of lidar data. In: Hyyppae J., Naesset E., Olsson H., Granqvist Pahlen T., and Reese H. (Eds). Proceedings Scandlaser Scientific Workshop on Airborne Laser Scanning of Forests, September 3-4, Umeå, Sweden. Working Paper vol. 112 (2003), Swedish University of Agricultural Sciences 213-222
9. Bruce V., Green P.R., and Georgeson M.A. Visual Perception: Physiology, Psychology and Ecology. 4th ed. (2003), Psychology Press, Hove Chapter 9
10. do Carmo M.P. Differential Geometry of Curves and Surfaces (1976), Pearson Higher Education, New York
11. Duda R.O., Hart P.E., and Stork D.G. Pattern Classification. 2nd ed. (2000), John Wiley and Sons Inc., New York Chapter 1
12. Evans D.L., Roberts S.D., McCombs J.W., and Harrington R.L. Detection of regularly spaced targets in small-footprint lidar data: research issues for consideration. Photogrammetric Engineering and Remote Sensing 67 10 (2001) 1133-1136
13. Flood M. Laser altimetry: from science to commercial lidar mapping. Photogrammetric Engineering and Remote Sensing 67 11 (2001) 1209-1217
14. Gaveau D., and Hill R. Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data. Canadian Journal of Remote Sensing 29 5 (2003) 650-657
15. Gonzalez R.C., and Wintz P. Digital Image Processing. 2nd ed. (1987), Addison-Wesley publishing company, Reading, Massachusetts, USA Chapter 8
16. Holmgren J., and Persson Å. Identifying species of individual trees using airborne laser scanner. Remote Sensing of Environment 90 4 (2004) 415-423
17. Hoover A., Jean-Baptiste G., Jiang X., Flynn P.J., Bunke H., Goldgof D.B., Bowyer K., Eggert D.W., Fitzgibbon A., and Fisher R.B. An experimental comparison of range image segmentation algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 18 7 (1996) 673-689
18. Hyyppä J., and Inkinen M. Detecting and estimating attributes for single trees using laser scanner. Photogrammetric Journal of Finland 16 2 (1999) 27-42
19. Koenderink J.J. The structure of images. Biological Cybernetics 50 5 (1984) 363-370
20. Koenderink J., and van Doorn A. Surface shape and curvature scales. Image and Vision Computing 10 8 (1992) 557-565
21. Leckie D.G., Jay C., Gougeon F.A., Sturrock R.N., and Paradine D. Detection and assessment of trees with Phellinus weirii (laminated root rot) using high resolution multi-spectral imagery. International Journal of Remote Sensing 25 4 (2004) 793-818
22. Leckie D.G., Gougeon F.A., Tinis S., Nelson T., Burnett C.N., and Paradine D. Automated tree recognition in old growth conifer stands with high resolution digital imagery. Remote Sensing of Environment 94 3 (2005) 311-326
23. Lefsky M., Cohen W.B., Parker G.G., and Harding D.J. Lidar remote sensing for ecosystem studies. Bioscience 52 1 (2002) 19-30
24. Lindeberg T. On scale selection for differential operators. In: Høgdra K.A., Braathen B., and Heia K. (Eds). Proc. The 8th Scandinavian Conference on Image Analysis vol. II (1993) 857-866 Norwegian Society for Image Processing and Pattern Recognition, Tromsø, Norway, June
25. Lindeberg T. Scale-Space Theory in Computer Vision (1994), Kluwer Academic Publishers, Dordrecht, The Netherlands
26. Moffiet T., Mengersen K., Witte C., King R., and Denham R. Airborne laser scanning: exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species. ISPRS Journal of Photogrammetry and Remote Sensing 59 5 (2005) 289-309
27. Næsset E. Determination of mean tree height of forest stands using airborne laser scanner data. ISPRS Journal of Photogrammetry and Remote Sensing 52 2 (1997) 49-56
28. Næsset E. Estimating timber volume of forest stands using airborne laser scanner data. Remote Sensing of Environment 61 2 (1997) 246-253
29. Næsset E. Assessing sensor effects and effects of leaf-off and leaf-on canopy conditions on biophysical stand properties derived from small-footprint airborne laser data. Remote Sensing of Environment 98 2-3 (2005) 356-370
30. Nelson R. Modeling forest canopy heights: the effects of canopy shape. Remote Sensing of Environment 60 3 (1997) 327-334
31. Nelson R., Jimenez J., Schnell C.E., Hartshorn G.S., Gregoire T.G., and Oderwald R. Canopy height models and airborne lasers to estimate forest biomass: two problems. International Journal of Remote Sensing 21 11 (2000) 2153-2162
32. Nilsson M. Estimation of tree heights and stand volume using an airborne lidar system. Remote Sensing of Environment 56 1 (1996) 1-7
33. Persson Å., Holmgren J., and Söderman U. Detecting and measuring individual trees using an airborne laser scanner. Photogrammetric Engineering and Remote Sensing 68 9 (2002) 925-932
34. Raber G.T., Jensen J.R., Schill S.R., and Schuckman K. Creation of digital terrain models using an adaptive lidar vegetation point removal process. Photogrammetric Engineering and Remote Sensing 68 12 (2002) 1307-1315
35. Ross K.A., and Wright C.R.B. Discrete Mathematics (1992), Prentice Hall, Englewood Cliffs, New Jersey, USA Chapter 1
36. Råde L., and Westergren B. Mathematics Handbook. Studentlitteratur. 3rd ed (1995) Studentlitteratur, Lund, Sweden, Chapter 7.4 (Eq. 138)
37. Saab Survey Systems AB. Technical Description: Saab TopEye (1997), Saab Survey Systems AB, Jönköping, Sweden
38. Schardt M., Ziegler M., Wimmer A., Wack R., and Hyyppä J. Assessment of forest parameters by means of laser scanning. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 34 Part 3A (2002) 302-309
39. Weisstein E.W. Affine Transformation. From MathWorld-A Wolfram Web Resource (2005). http://mathworld.wolfram.com Accessed October 11, 2006
40. Weisstein E.W., et al. Characteristic Function. From MathWorld-A Wolfram Web Resource (2005). http://mathworld.wolfram.com Accessed October 11, 2006
41. Witkin A.P. Scale space filtering. Proceedings International Joint Conference on Artificial Intelligence, Karlsruhe, Germany (1983) 1019-1023