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Volumn 28, Issue 4, 2013, Pages 364-378

Support vector machines for tree species identification using LiDAR-derived structure and intensity variables

Author keywords

cool temperate rainforest; LiDAR; LiDAR intensity; support vector machines; SVM; tree species identification

Indexed keywords

ACCURACY ASSESSMENT; ARTIFICIAL INTELLIGENCE; CLASSIFICATION; EVERGREEN TREE; LIDAR; RAINFOREST; TEMPERATE FOREST;

EID: 84882239086     PISSN: 10106049     EISSN: None     Source Type: Journal    
DOI: 10.1080/10106049.2012.710653     Document Type: Article
Times cited : (28)

References (63)
  • 2
    • 80051722297 scopus 로고    scopus 로고
    • Using lidar-derived vegetation profiles to predict time since fire in an Oak Scrub landscape in East-Central Florida
    • Angelo, J. J., Duncan, B. W. and Weishampel, J. F. 2010. Using lidar-derived vegetation profiles to predict time since fire in an Oak Scrub landscape in East-Central Florida. Remote Sensing, 2: 514 - 525.
    • (2010) Remote Sensing , vol.2 , pp. 514-525
    • Angelo, J.J.1    Duncan, B.W.2    Weishampel, J.F.3
  • 4
    • 0004017896 scopus 로고    scopus 로고
    • 5th ed, Collingwood Victoria, Australia, Collingwood Victoria,: CSIRO Publisher
    • Boland, D. J. 2006. Forest trees of Australia, 5th ed, Collingwood Victoria, Australia: CSIRO Publisher.
    • (2006) Forest trees of Australia
    • Boland, D.J.1
  • 5
    • 15844428374 scopus 로고    scopus 로고
    • Satellite remote sensing of forest resources: three decades of research development
    • Boyd, D. S. and Danson, F. M. 2005. Satellite remote sensing of forest resources: three decades of research development. Progress in Physical Geography, 29 (1): 1 - 26.
    • (2005) Progress in Physical Geography , vol.29 , Issue.1 , pp. 1-26
    • Boyd, D.S.1    Danson, F.M.2
  • 7
    • 33845683509 scopus 로고    scopus 로고
    • Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar
    • Brandtberg, T. 2007. Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar. ISPRS Journal of Photogrammetry and Remote Sensing, 61: 325 - 340.
    • (2007) ISPRS Journal of Photogrammetry and Remote Sensing , vol.61 , pp. 325-340
    • Brandtberg, T.1
  • 8
    • 0038036847 scopus 로고    scopus 로고
    • 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
    • Brandtberg, T. 2003. 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: 290 - 303.
    • (2003) Remote Sensing of Environment , vol.85 , pp. 290-303
    • Brandtberg, T.1
  • 9
    • 33745092487 scopus 로고    scopus 로고
    • Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods
    • Buddenbaum, H., Schlerf, M. and Hill, J. 2005. Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods. International Journal of Remote Sensing, 26 (24): 5453 - 5465.
    • (2005) International Journal of Remote Sensing , vol.26 , Issue.24 , pp. 5453-5465
    • Buddenbaum, H.1    Schlerf, M.2    Hill, J.3
  • 10
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C. J.C. 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2: 121 - 167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 14
    • 79960462309 scopus 로고    scopus 로고
    • A support vector regression approach to estimate forest biophysical parameters at the object level using airborne lidar transects and quickbird data
    • Chen, G. and Hay, G. J. 2011. A support vector regression approach to estimate forest biophysical parameters at the object level using airborne lidar transects and quickbird data. Photogrammetric Engineering and Remote Sensing, 77 (7): 733 - 741.
    • (2011) Photogrammetric Engineering and Remote Sensing , vol.77 , Issue.7 , pp. 733-741
    • Chen, G.1    Hay, G.J.2
  • 15
    • 84862860392 scopus 로고    scopus 로고
    • A GEOBIA framework to estimate forest parameters from lidar transects, Quickbird imagery and machine learning: a case study in Quebec, Canada
    • Chen, G., Hay, G. J. and St-Onge, B. 2012. A GEOBIA framework to estimate forest parameters from lidar transects, Quickbird imagery and machine learning: a case study in Quebec, Canada. International Journal of Applied Earth Observation and Geoinformation, 15: 28-37
    • (2012) International Journal of Applied Earth Observation and Geoinformation , vol.15 , pp. 28-37
    • Chen, G.1    Hay, G.J.2    St-Onge, B.3
  • 18
    • 34548431766 scopus 로고    scopus 로고
    • Remote sensing of species mixtures in conifer plantations using LiDAR height and intensity data
    • Donoghue, D. N.M. 2007. Remote sensing of species mixtures in conifer plantations using LiDAR height and intensity data. Remote Sensing of Environment, 110: 509 - 522.
    • (2007) Remote Sensing of Environment , vol.110 , pp. 509-522
    • Donoghue, D.N.M.1
  • 19
    • 33645687137 scopus 로고    scopus 로고
    • LiDAR - a new tool for forest measurements?
    • Evans, D. L., Roberts, S. D. and Parker, R. C. 2006. LiDAR - a new tool for forest measurements?. The Forestry Chronicle, 82 (2): 211 - 218.
    • (2006) The Forestry Chronicle , vol.82 , Issue.2 , pp. 211-218
    • Evans, D.L.1    Roberts, S.D.2    Parker, R.C.3
  • 20
    • 3042654673 scopus 로고    scopus 로고
    • A relative evaluation of multiclass image classification by support vector machines
    • Foody, G. M. and Mathur, A. 2004a. A relative evaluation of multiclass image classification by support vector machines. IEEE Transactions on Geoscience And Remote Sensing, 42 (6): 1335 - 1343.
    • (2004) IEEE Transactions on Geoscience And Remote Sensing , vol.42 , Issue.6 , pp. 1335-1343
    • Foody, G.M.1    Mathur, A.2
  • 21
    • 4544272407 scopus 로고    scopus 로고
    • Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification
    • Foody, G. M. and Mathur, A. 2004b. Toward intelligent training of supervised image classifications: directing training data acquisition for SVM classification. Remote Sensing of Environment, 93: 107 - 117.
    • (2004) Remote Sensing of Environment , vol.93 , pp. 107-117
    • Foody, G.M.1    Mathur, A.2
  • 23
    • 79953227659 scopus 로고    scopus 로고
    • Multispectral and LiDAR data fusion for fuel type mapping using support vector machine and decision rules
    • García, M. 2011. Multispectral and LiDAR data fusion for fuel type mapping using support vector machine and decision rules. Remote Sensing of Environment, 115: 1369 - 1379.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 1369-1379
    • García, M.1
  • 26
    • 80455155180 scopus 로고    scopus 로고
    • An SVM classification of tree species radiometric signatures based on the Leica ADS40 Sensor
    • Heikkinen, V. 2011. An SVM classification of tree species radiometric signatures based on the Leica ADS40 Sensor. IEEE Transactions on Geoscience And Remote Sensing, 49 (11): 4539 - 4551.
    • (2011) IEEE Transactions on Geoscience And Remote Sensing , vol.49 , Issue.11 , pp. 4539-4551
    • Heikkinen, V.1
  • 27
    • 53149153991 scopus 로고    scopus 로고
    • Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem
    • Hestir, E. L. 2008. Identification of invasive vegetation using hyperspectral remote sensing in the California Delta ecosystem. Remote Sensing of Environment, 112: 4034 - 4047.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 4034-4047
    • Hestir, E.L.1
  • 28
    • 2342646308 scopus 로고    scopus 로고
    • Identifying species of individual trees using airborne laser scanner
    • Holmgren, J. and Persson, Å. 2004. Identifying species of individual trees using airborne laser scanner. Remote Sensing of Environment, 90: 415 - 423.
    • (2004) Remote Sensing of Environment , vol.90 , pp. 415-423
    • Holmgren, J.1    Persson, A.2
  • 30
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • Huang, C., Davis, L. S. and Townshend, J. R.G. 2002. An assessment of support vector machines for land cover classification. Remote Sensing of Environment, 23 (4): 725 - 749.
    • (2002) Remote Sensing of Environment , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.S.2    Townshend, J.R.G.3
  • 33
    • 0035124583 scopus 로고    scopus 로고
    • A comparison of multispectral and multitemporal information in high spatial resolution imagery for classification of individual tree species in a temperate hardwood forest
    • Key, T., Warner, T. A. and McGraw, J. B. 2001. A comparison of multispectral and multitemporal information in high spatial resolution imagery for classification of individual tree species in a temperate hardwood forest. Remote Sensing of Environment, 75: 100 - 112.
    • (2001) Remote Sensing of Environment , vol.75 , pp. 100-112
    • Key, T.1    Warner, T.A.2    McGraw, J.B.3
  • 34
    • 67349288558 scopus 로고    scopus 로고
    • Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data
    • Kim, S. 2009. Tree species differentiation using intensity data derived from leaf-on and leaf-off airborne laser scanner data. Remote Sensing of Environment, 113: 1575 - 1586.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 1575-1586
    • Kim, S.1
  • 36
    • 45849107278 scopus 로고    scopus 로고
    • Multi-source land cover classification for forest fire management based on imaging spectromery and LiDAR data
    • Koetz, B. 2008. Multi-source land cover classification for forest fire management based on imaging spectromery and LiDAR data. Forest Ecology and Management, 256: 263 - 271.
    • (2008) Forest Ecology and Management , vol.256 , pp. 263-271
    • Koetz, B.1
  • 37
    • 68949159813 scopus 로고    scopus 로고
    • Airborne small-footprint discrete-return LiDAR data in the assessment of boreal mire surface patterns, vegetation, and habitats
    • Korpela, I. 2009. Airborne small-footprint discrete-return LiDAR data in the assessment of boreal mire surface patterns, vegetation, and habitats. Forest Ecology and Management, 258: 1549 - 1566.
    • (2009) Forest Ecology and Management , vol.258 , pp. 1549-1566
    • Korpela, I.1
  • 38
    • 77953962719 scopus 로고    scopus 로고
    • Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies
    • Korpela, I. 2010. Range and AGC normalization in airborne discrete-return LiDAR intensity data for forest canopies. ISPRS Journal of Photogrammetry and Remote Sensing, 65: 369 - 379.
    • (2010) ISPRS Journal of Photogrammetry and Remote Sensing , vol.65 , pp. 369-379
    • Korpela, I.1
  • 40
    • 84863351639 scopus 로고
    • Farm abandonment in South Gippsland's Strzelecki Ranges, 1870-1925: challenge or tragedy
    • Legg, S. 1986. Farm abandonment in South Gippsland's Strzelecki Ranges, 1870-1925: challenge or tragedy. Gippsland Heritage Journal, 1 (1): 14 - 22.
    • (1986) Gippsland Heritage Journal , vol.1 , Issue.1 , pp. 14-22
    • Legg, S.1
  • 42
    • 43549104018 scopus 로고    scopus 로고
    • Airborne LiDAR for DEM generation: some critical issues
    • Liu, X. 2008. Airborne LiDAR for DEM generation: some critical issues. Progress in Physical Geography, 32 (1): 31 - 49.
    • (2008) Progress in Physical Geography , vol.32 , Issue.1 , pp. 31-49
    • Liu, X.1
  • 43
    • 33847678660 scopus 로고    scopus 로고
    • LiDAR-derived high quality ground control information and DEM for image orthorectification
    • Liu, X. 2007. LiDAR-derived high quality ground control information and DEM for image orthorectification. Geoinformatica, 11 (1): 37 - 53.
    • (2007) Geoinformatica , vol.11 , Issue.1 , pp. 37-53
    • Liu, X.1
  • 44
    • 1542501547 scopus 로고    scopus 로고
    • Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests
    • Lovell, L. L. 2003. Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests. Canadian Journal of Remote Sensing, 29 (5): 607 - 622.
    • (2003) Canadian Journal of Remote Sensing , vol.29 , Issue.5 , pp. 607-622
    • Lovell, L.L.1
  • 45
    • 41449111212 scopus 로고    scopus 로고
    • Classification of Australian forest communities using aerial photography CASI and HyMap data
    • Lucas, R. 2008. Classification of Australian forest communities using aerial photography CASI and HyMap data. Remote Sensing of Environment, 112: 2088 - 2103.
    • (2008) Remote Sensing of Environment , vol.112 , pp. 2088-2103
    • Lucas, R.1
  • 46
    • 22644435885 scopus 로고    scopus 로고
    • Airborne laser scanning: exploratory data analysis indicates potential variables for classification of individual trees or forest stands according to species
    • Moffiet, T. 2005. 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: 289 - 309.
    • (2005) ISPRS Journal of Photogrammetry and Remote Sensing , vol.59 , pp. 289-309
    • Moffiet, T.1
  • 49
    • 64549112589 scopus 로고    scopus 로고
    • Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data
    • Ørka, H. O., Næsset, E. and Bollandsås, O. M. 2009. Classifying species of individual trees by intensity and structure features derived from airborne laser scanner data. Remote Sensing of Environment, 113: 1163 - 1174.
    • (2009) Remote Sensing of Environment , vol.113 , pp. 1163-1174
    • Ørka, H.O.1    Næsset, E.2    Bollandsås, O.M.3
  • 50
    • 4143127743 scopus 로고    scopus 로고
    • Seeing the trees in the forest: using Lidar and multispectral data fusion with local filtering and variable window size for estimation tree height
    • Popescu, S. C. and Wynne, R. H. 2004. Seeing the trees in the forest: using Lidar and multispectral data fusion with local filtering and variable window size for estimation tree height. Photogrammetric Engineering and Remote Sensing, 70 (5): 589 - 604.
    • (2004) Photogrammetric Engineering and Remote Sensing , vol.70 , Issue.5 , pp. 589-604
    • Popescu, S.C.1    Wynne, R.H.2
  • 51
    • 0036899720 scopus 로고    scopus 로고
    • Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size
    • Popescu, S. C., Wynne, R. H. and Nelson, R. F. 2002. Estimating plot-level tree heights with lidar: local filtering with a canopy-height based variable window size. Computers and Electronics in Agriculture, 37: 71 - 95.
    • (2002) Computers and Electronics in Agriculture , vol.37 , pp. 71-95
    • Popescu, S.C.1    Wynne, R.H.2    Nelson, R.F.3
  • 52
    • 0141885851 scopus 로고    scopus 로고
    • Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass
    • Popescu, S. C., Wynne, R. H. and Nelson, R. F. 2003. Measuring individual tree crown diameter with lidar and assessing its influence on estimating forest volume and biomass. Canadian Journal of Remote Sensing, 29 (5): 564 - 577.
    • (2003) Canadian Journal of Remote Sensing , vol.29 , Issue.5 , pp. 564-577
    • Popescu, S.C.1    Wynne, R.H.2    Nelson, R.F.3
  • 54
    • 0032084126 scopus 로고    scopus 로고
    • Design and analysis for thematic map accuracy assessment: fundamental principles
    • Stehman, S. V. and Czaplewski, R. L. 1998. Design and analysis for thematic map accuracy assessment: fundamental principles. Remote Sensing of Environment, 64: 331 - 344.
    • (1998) Remote Sensing of Environment , vol.64 , pp. 331-344
    • Stehman, S.V.1    Czaplewski, R.L.2
  • 59
    • 2942752404 scopus 로고    scopus 로고
    • Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama
    • Wang, L. 2004. Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama. Remote Sensing of Environment, 91: 432 - 440.
    • (2004) Remote Sensing of Environment , vol.91 , pp. 432-440
    • Wang, L.1
  • 61
    • 0032468514 scopus 로고    scopus 로고
    • Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters
    • Wulder, M. 1998. Optical remote-sensing techniques for the assessment of forest inventory and biophysical parameters. Progress in Physical Geography, 22 (4): 449 - 476.
    • (1998) Progress in Physical Geography , vol.22 , Issue.4 , pp. 449-476
    • Wulder, M.1
  • 62
    • 80855147529 scopus 로고    scopus 로고
    • Cool temperature rainforest and adjacent forests classification using airborne LiDAR data
    • Zhang, Z. 2011. Cool temperature rainforest and adjacent forests classification using airborne LiDAR data. Area, 43 (4): 438 - 448.
    • (2011) Area , vol.43 , Issue.4 , pp. 438-448
    • Zhang, Z.1
  • 63
    • 79957608914 scopus 로고    scopus 로고
    • Characterizing forest canopy structure with lidar composite metrics and machine learning
    • Zhao, K. 2011. Characterizing forest canopy structure with lidar composite metrics and machine learning. Remote Sensing of Environment, 115: 1978 - 1996.
    • (2011) Remote Sensing of Environment , vol.115 , pp. 1978-1996
    • Zhao, K.1


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