TLS-bridged co-prediction of tree-level multifarious stem structure variables from worldview-2 panchromatic imagery: a case study of the boreal forest

References

• Ardila, J. P., W. Bijker, V. Tolpekin, and A. Stein. 2012. “Context-Sensitive Extraction of Tree Crown Objects in Urban Areas Using VHR Satellite Images.” International Journal of Applied Earth Observation and Geoinformation 15: 57–69. doi: 10.1016/j.jag.2011.06.005
   Web of Science ®Google Scholar
• Bartelink, H. H. 1996. “Allometric Relationships on Biomass and Needle Area of Douglas-Fir.” Forest Ecology and Management 86: 193–203. doi: 10.1016/S0378-1127(96)03783-8
   Web of Science ®Google Scholar
• Beguet, B., N. Chehata, S. Boukir, and D. Guyon. 2012. “Retrieving Forest Structure Variables from Very High Resolution Satellite Images Using an Automatic Method.” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences I-7: 1–6. doi: 10.5194/isprsannals-I-7-1-2012
   Google Scholar
• Boyd, D. S. 1999. “The Relationship Between the Biomass of Cameroonian Tropical Forests and Radiation Reflected in Middle Infrared Wavelengths (3.0–5.0 mu m).” International Journal of Remote Sensing 20: 1017–1023. doi: 10.1080/014311699213055
   Web of Science ®Google Scholar
• Burnham, K., and D. Anderson. 2002. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. New York: Springer.
   Google Scholar
• Chan, T. O., and D. Lichti. 2012. “Cylinder-Based Self-Calibration of a Panoramic Terrestrial Laser Scanner.” ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B5: 169–174. doi: 10.5194/isprsarchives-XXXIX-B5-169-2012
   Google Scholar
• Cho, M. A., A. K. Skidmore, and I. Sobhan. 2009. “Mapping Beech (Fagus sylvatica L.) Forest Structure with Airborne Hyperspectral Imagery.” International Journal of Applied Earth Observation and Geoinformation 11: 201–211. doi: 10.1016/j.jag.2009.01.006
   Web of Science ®Google Scholar
• Cruickshank, M. G., and C. N. Filipescu. 2012. “Allometries of Coarse Tree, Stem, and Crown Measures in Douglas-Fir are Altered by Armillaria Root Disease.” Botany 90: 711–721. doi: 10.1139/b2012-040
   Web of Science ®Google Scholar
• Curtis, M., and S. Ghosh. 2011. “A Bayesian Approach to Multicollinearity and the Simultaneous Selection and Clustering of Predictors in Linear Regression.” Journal of Statistical Theory and Practice 5: 715–735. doi: 10.1080/15598608.2011.10483741
   Google Scholar
• Daliakopoulos, I. N., E. G. Grillakis, A. G. Koutroulis, and I. K. Tsanis. 2009. “Tree Crown Detection on Multispectral VHR Satellite Imagery.” Photogrammetric Engineering & Remote Sensing 75: 1201–1211. doi: 10.14358/PERS.75.10.1201
   Web of Science ®Google Scholar
• Fang, J., and Z. Wang. 2001. “Forest Biomass Estimation at Regional and Global Levels, with Special Reference to China’s Forest Biomass.” Ecological Research 16: 587–592. doi: 10.1046/j.1440-1703.2001.00419.x
   Web of Science ®Google Scholar
• Ferster, C. J., and N. C. Coops. 2016. “Integrating Volunteered Smartphone Data with Multispectral Remote Sensing to Estimate Forest Fuels.” International Journal of Digital Earth 9: 171–196. doi: 10.1080/17538947.2014.1002865
   Web of Science ®Google Scholar
• Garber, S., and D. Maguire. 2003. “Modeling Stem Taper of Three Central Oregon Species Using Nonlinear Mixed Effects Models and Autoregressive Error Structures.” Forest Ecology and Management 179: 507–522. doi: 10.1016/S0378-1127(02)00528-5
   Web of Science ®Google Scholar
• Getzin, S., K. Wiegand, J. Schumacher, and F. A. Gougeon. 2008. “Scale-Dependent Competition at the Stand Level Assessed from Crown Areas.” Forest Ecology and Management 255: 2478–2485. doi: 10.1016/j.foreco.2008.01.007
   Web of Science ®Google Scholar
• Henning, J. G., and P. Radtke. 2006. “Detailed Stem Measurements of Standing Trees from Ground-Based Scanning Lidar.” Forest Science 52: 67–80.
   Web of Science ®Google Scholar
• Hopkinson, C., L. Chasmer, C. Young-Pow, and P. Treitz. 2004. “Assessing Forest Metrics with a Ground-Based Scanning Lidar.” Canadian Journal of Forest Research 34: 573–583. doi: 10.1139/x03-225
   Web of Science ®Google Scholar
• Huxley, J., and G. Teissier. 1936. “Terminology of Relative Growth.” Nature 137: 780–781. doi: 10.1038/137780b0
   Google Scholar
• Jiang, M., and Y. Lin. 2013. “Individual Deciduous Tree Recognition in Leaf-Off Aerial Ultrahigh Spatial Resolution Remotely Sensed Imagery.” IEEE Geoscience and Remote Sensing Letters 10: 38–42. doi: 10.1109/LGRS.2012.2191764
   Web of Science ®Google Scholar
• Jung, S.-E., D.-A. Kwak, T. Park, W.-K. Lee, and S. Yoo. 2011. “Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners.” Remote Sensing 3: 2346–2363. doi: 10.3390/rs3112346
   Web of Science ®Google Scholar
• Kato, A., J. Morgenroth, D. Kelbe, C. Gomez, and J. van Aardt. 2013. “Ground Truth Measurement of Trees Using Terrestrial Laser for Satellite Remote Sensing.” Proceedings of the IGARSS 2013, 2106–2109.
   Google Scholar
• Lamonaca, A., P. Corona, and A. Barbati. 2008. “Exploring Forest Structural Complexity by Multi-Scale Segmentation of VHR Imagery.” Remote Sensing of Environment 112: 2839–2849. doi: 10.1016/j.rse.2008.01.017
   Web of Science ®Google Scholar
• Liang, X., V. Kankare, X. Yu, J. Hyyppä, and M. Holopainen. 2014. “Automated Stem Curve Measurement Using Terrestrial Laser Scanning.” IEEE Transactions on Geoscience and Remote Sensing 52: 1739–1748. doi: 10.1109/TGRS.2013.2253783
   Web of Science ®Google Scholar
• Liang, X., P. Litkey, and J. Hyyppä. 2012. “Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning.” IEEE Transactions on Geoscience and Remote Sensing 50: 661–670. doi: 10.1109/TGRS.2011.2161613
   Web of Science ®Google Scholar
• Lin, Y., and M. Herold. 2016. “Tree Species Classification Based on Explicit Tree Structure Feature Parameters Derived from Static Terrestrial Laser Scanning Data.” Agricultural and Forest Meteorology 216: 105–114. doi: 10.1016/j.agrformet.2015.10.008
   Web of Science ®Google Scholar
• Lin, Y., and J. Hyyppä. 2016. “A Comprehensive but Efficient Framework of Proposing and Validating Feature Parameters from Airborne LiDAR Data for Tree Species Classification.” International Journal of Applied Earth Observation and Geoinformation 46: 45–55. doi: 10.1016/j.jag.2015.11.010
   Web of Science ®Google Scholar
• Lin, Y., M. Jiang, Y. Yao, L. Zhang, and J. Lin. 2015. “Use of UAV Oblique Imaging for the Detection of Individual Trees in Residential Environments.” Urban Forestry & Urban Greening 14: 404–412. doi: 10.1016/j.ufug.2015.03.003
   Web of Science ®Google Scholar
• Lin, Y., G. West, D. Belton, and P. Helmholz. 2015. “MLS-Assisted Validation of WorldView-2 Panchromatic Image for Estimating Pinus sylvestris Crown Height.” Remote Sensing Letters 6: 125–134. doi: 10.1080/2150704X.2015.1011351
   Web of Science ®Google Scholar
• Lindberg, E., J.-M. Roberge, T. Johansson, and J. Hjältén. 2015. “Can Airborne Laser Scanning (ALS) and Forest Estimates Derived from Satellite Images be Used to Predict Abundance and Species Richness of Birds and Beetles in Boreal Forest?” Remote Sensing 7: 4233–4252. doi: 10.3390/rs70404233
   Web of Science ®Google Scholar
• Lovell, J. L., D. L. B. Jupp, G. J. Newnham, and D. S. Culvenor. 2011. “Measuring Tree Stem Diameters Using Intensity Profiles from Ground-Based Scanning Lidar from a Fixed Viewpoint.” ISPRS Journal of Photogrammetry and Remote Sensing 66: 46–55. doi: 10.1016/j.isprsjprs.2010.08.006
   Web of Science ®Google Scholar
• Mackie, E. D., and R. W. Matthews. 2008. Forest Measuration: A Handbook for Practitioners. Edinburgh: HMSO.
   Google Scholar
• Marshall, A. R., S. Willcock, P. J. Platts, J. C. Lovett, A. Balmford, N. D. Burgess, J. E. Latham, et al. 2012. “Measuring and Modeling Above-Ground Carbon and Tree Allometry Along a Tropical Elevation Gradient.” Biological Conservation 154: 20–33. doi: 10.1016/j.biocon.2012.03.017
   Web of Science ®Google Scholar
• Morales, R. M., T. Idol, and J. B. Friday. 2011. “Assessment of Acacia Koa Forest Health Across Environmental Gradients in Hawaii Using Fine Resolution Remote Sensing and GIS.” Sensors 11: 5677–5694. doi: 10.3390/s110605677
   PubMed Web of Science ®Google Scholar
• Morgan, J., and M. Cannell. 1994. “Shape of Tree Stems-A Re-Examination of the Uniform Stress Hypothesis.” Tree Physiology 14: 49–62. doi: 10.1093/treephys/14.1.49
   PubMed Web of Science ®Google Scholar
• Osunkoya, O. O., K. Omar-Ali, N. Amit, J. Dayan, D. S. Saud, and T. Sheng. 2007. “Comparative Height-Crown Allometry and Mechanical Design in 22 Tree Species of Kuala Belalong Rainforest, Brunei, Borneo.” American Journal of Botany 94: 1951–1962. doi: 10.3732/ajb.94.12.1951
   PubMed Web of Science ®Google Scholar
• Ozdemir, I., and D. Donoghue. 2013. “Modelling Tree Size Diversity from Airborne Laser Scanning Using Canopy Height Models with Image Texture Measures.” Forest Ecology and Management 295: 28–37. doi: 10.1016/j.foreco.2012.12.044
   Web of Science ®Google Scholar
• Ozdemir, I., and A. Karnieli. 2011. “Predicting Forest Structure Parameters Using the Image Texture Derived from Worldview-2 Multispectral Imagery in A Dryland Forest, Israel.” International Journal of Applied Earth Observation and Geoinformation 13: 701–710. doi: 10.1016/j.jag.2011.05.006
   Web of Science ®Google Scholar
• Petersson, H. 1997. “Functions for Predicting Crown Height of Pinus sylvestris and Picea abies in Sweden.” Scandinavian Journal of Forest Research 12: 179–188. doi: 10.1080/02827589709355399
   Web of Science ®Google Scholar
• Picard, R., and D. Cook. 1984. “Cross-Validation of Regression Models.” Journal of the American Statistical Association 79: 575–583. doi: 10.1080/01621459.1984.10478083
   Web of Science ®Google Scholar
• Poorter, H., K. J. Niklas, P. B. Reich, J. Oleksyn, P. Poot, and L. Mommer. 2012. “Biomass Allocation to Leaves, Stems and Roots: Meta-Analyses of Interspecific Variation and Environmental Control.” New Phytologist 193: 30–50. doi: 10.1111/j.1469-8137.2011.03952.x
   PubMed Web of Science ®Google Scholar
• Popescu, S. C., and K. Zhao. 2008. “A Voxel-Based Lidar Method for Estimating Crown Based Height for Deciduous and Pine Trees.” Remote Sensing of Environment 112: 767–781. doi: 10.1016/j.rse.2007.06.011
   Web of Science ®Google Scholar
• Pretzsch, H., P. Biber, E. Uhl, J. Dahlhausen, T. Rötzer, J. Caldentey, T. Koike, et al. 2015. “Crown Size and Growing Space Requirement of Common Tree Species in Urban Centres, Parks, and Forests.” Urban Forestry & Urban Greening 14: 466–479. doi: 10.1016/j.ufug.2015.04.006
   Web of Science ®Google Scholar
• Puttonen, E., J. Suomalainen, T. Hakala, E. Räikkönen, H. Kaartinen, S. Kaasalainen, and P. Litkey. 2010. “Tree Species Classification from Fused Active Hyperspectral Reflectance and LIDAR Measurements.” Forest Ecology and Management 260: 1843–1852. doi: 10.1016/j.foreco.2010.08.031
   Web of Science ®Google Scholar
• Seidel, D., C. Leuschner, A. Muller, and B. Krause. 2011. “Crown Plasticity in Mixed Forests—Quantifying Asymmetry as a Measure of Competition Using Terrestrial Laser Scanning.” Forest Ecology and Management 261: 2123–2132. doi: 10.1016/j.foreco.2011.03.008
   Web of Science ®Google Scholar
• Sposito, T. C., and F. A. M. Santos. 2001. “Scaling of Stem and Crown in Eight Cecropia (Cecropiaceae) Species of Brazil.” American Journal of Botany 88: 939–949. doi: 10.2307/2657047
   PubMed Web of Science ®Google Scholar
• Sun, G., K. Ranson, and V. Kharuk. 2002. “Radiometric Slope Correction for Forest Biomass Estimation from SAR Data in the Western Sayani Mountains, Siberia.” Remote Sensing of Environment 79: 279–287. doi: 10.1016/S0034-4257(01)00279-6
   Web of Science ®Google Scholar
• Tansey, K., N. Selmes, A. Anstee, N. J. Tate, and A. Denniss. 2009. “Estimating Tree and Stand Variables in a Corsican Pine Woodland from Terrestrial Laser Scanner Data.” International Journal of Remote Sensing 30: 5195–5209. doi: 10.1080/01431160902882587
   Web of Science ®Google Scholar
• Thies, M., N. Pfeifer, D. Winterhalder, and B. G. Gorte. 2004. “Three-Dimensional Reconstruction of Stems for Assessment of Taper, Sweep and Lean Based on Laser Scanning of Standing Trees.” Scandinavian Journal of Forest Research 19: 571–581. doi: 10.1080/02827580410019562
   Web of Science ®Google Scholar
• Vauhkonen, J., I. Korpela, M. Maltamo, and T. Tokola. 2010. “Imputation of Single-Tree Attributes Using Airborne Laser Scanning-Based Height, Intensity, and Alpha Shape Metrics.” Remote Sensing of Environment 114: 1263–1276. doi: 10.1016/j.rse.2010.01.016
   Web of Science ®Google Scholar
• Wang, X., Z. Li, X. Liu, G. Deng, and Z. Jiang. 2007. “Estimating Stem Volume Using QuickBird Imagery and Allometric Relationships for Open Populus xiaohei plantations.” Journal of Integrative Plant Biology 49: 1304–1312. doi: 10.1111/j.1744-7909.2007.00528.x
   Web of Science ®Google Scholar
• Wei, T., Y. Lin, L. Yan, and L. Zhang. 2016. “Tree Species Classification Based on Stem-Related Feature Parameters Derived from Static Terrestrial Laser Scanning Data.” International Journal of Remote Sensing. doi:10.1080/01431161.2016.1213920.
   Web of Science ®Google Scholar
• Yu, X., X. Liang, J. Hyyppä, K. KanKare, M. Vastaranta, and M. Holopainen. 2013. “Stem Biomass Estimation Based on Stem Reconstruction from Terrestrial Laser Scanning Point Clouds.” Remote Sensing Letters 4: 344–353. doi: 10.1080/2150704X.2012.734931
   Web of Science ®Google Scholar