Estimating plot volume using lidar height and intensity distributional parameters

References

• Acquah, H. D. G. 2010. “Comparison of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) in Selection of an Asymmetric Price Relationship.” Journal of Development and Agricultural Economics 2: 1–6.
   Google Scholar
• Ahokas, E., X. Yu, J. Oksanen, J. Hyyppäe, H. Kaartinen, and H. Hyyppäe. 2005. “Optimization of the Scanning Angle for Countrywide Laser Scanning.” Paper presented at the ISPRS WG III/3, III/4, V/3 Workshop: Laser scanning 2005 for the International Society for Photogrammetry and Remote Sensing, Enschede, September 12–14, 115–119.
   Google Scholar
• Akaike, H. 1974. “A New Look at the Statistical Model Identification.” IEEE Transactions on Automatic Control 19: 716–723. doi:10.1109/TAC.1974.1100705.
   Web of Science ®Google Scholar
• Anderson, E. S., J. A. Thompson, D. A. Crouse, and R. E. Austin. 2006. “Horizontal Resolution and Data Density Effects on Remotely Sensed LIDAR-Based DEM.” Geoderma 132: 406–415. doi:10.1016/j.geoderma.2005.06.004.
   Web of Science ®Google Scholar
• Anderson-Sprecher, R. 1994. “Model Comparisons and R2.” The American Statistician 48: 113–117.
   Web of Science ®Google Scholar
• Bolker, B. M. 2008. Ecological Models and Data in R. Princeton, NJ: Princeton University Press.
   Google Scholar
• Boudreau, J., R. F. Nelson, H. A. Margolis, A. Beaudoin, L. Guindon, and D. S. Kimes. 2008. “Regional Aboveground Forest Biomass using Airborne and Spaceborne LiDAR in Québec.” Remote Sensing of Environment 112: 3876–3890.
   Web of Science ®Google Scholar
• Brandtberg, T., T. A. Warner, R. E. Landenberger, and J. B. McGraw. 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. doi:10.1016/S0034-4257(03)00008-7.
   Web of Science ®Google Scholar
• Burnham, K. P., and D. R. Anderson, eds. 2002. Model Selection and Multi Model Inference: A Practical Information-Theoretic Approach. 2nd ed. New York: Springer-Verlag Press.
   Google Scholar
• Chen, Q., P. Gong, D. Baldocchi, and Y. Q. Tian. 2007. “Estimating Basal Area and Stem Volume for Individual Trees from LiDAR Data.” Photogrammetric Engineering & Remote Sensing 73: 1355–1365. doi:10.14358/PERS.73.12.1355.
   Web of Science ®Google Scholar
• Coops, N. C., T. Hilker, M. A. Wulder, B. St-Onge, G. Newnham, A. Siggins, and J. A. Trofymow. 2007. “Estimating Canopy Structure of Douglas-Fir Forest Stands from Discrete-Return LiDAR.” Trees 21: 295–310. doi:10.1007/s00468-006-0119-6.
   Web of Science ®Google Scholar
• Coren, F., and P. Sterzai. 2006. “Radiometric Correction in Laser Scanning.” International Journal of Remote Sensing 27: 3097–3104. doi:10.1080/01431160500217277.
   Web of Science ®Google Scholar
• Dong, J. R., R. K. Kaufmann, R. B. Myneni, C. J. Tucker, P. E. Kauppi, J. Liski, W. Buermann, V. Alexeyev, and M. K. Hughes. 2003. “Remote Sensing Estimates of Boreal and Temperate Forest Woody Biomass: Carbon Pools, Sources and Sinks.” Remote Sensing of Environment 84: 393–410. doi:10.1016/S0034-4257(02)00130-X.
   Web of Science ®Google Scholar
• Donoghue, D. N. M., P. J. Watt, N. J. Cox, and J. Wilson. 2007. “Remote Sensing of Species Mixtures in Conifer Plantations Using LiDAR Height and Intensity Data.” Remote Sensing of Environment 110: 509–522. doi:10.1016/j.rse.2007.02.032.
   Web of Science ®Google Scholar
• Drake, J. B., and J. F. Weishampel. 2000. “Multifractal Analysis of Canopy Height Measures in a Longleaf Pine Savanna.” Forest Ecology and Management 128: 121–127. doi:10.1016/S0378-1127(99)00279-0.
   Web of Science ®Google Scholar
• Dubayah, R., J. B. Blair, J. L. Bufton, D. B. Clark, J. Jaja, R. G. Knox, S. B. Luthcke, S. Prince, and J. F. Weishampel. 1997. “The Vegetation Canopy Lidar Mission.” Paper presented at the Land Satellite Information in the Next Decade II: Sources and Applications for the American Society of Photogrammetry and Remote Sensing, Washington, DC, December 2–5, 100–112.
   Google Scholar
• Dubayah, R., and J. B. Drake. 2000. “Lidar Remote Sensing for Forestry.” Journal of Forestry 98: 44–46.
   Web of Science ®Google Scholar
• Dubayah, R., R. Knox, M. Hofton, B. Blair, and J. B. Drake. 2000. “Land Surface Characterization Using LIDAR Remote Sensing.” In Spatial Information for Land Use Management, edited by M. J. Hill and R. J. Aspinall, 25–38. Amsterdam: Gordon and Breach Science.
   Google Scholar
• Fleck, S., D. Van Der Zande, M. Schmidt, and P. Coppin. 2004. “Reconstructions of Tree Structures from Laser-Scans and their Use to Predict Physiological Properties and Processes in Canopies.” International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 36: 118−123.
   Google Scholar
• Fung, T., H. Ma, W. L. Siu, H. Lin, and P. Gong. 2001. “Subtropical Tree Recognition with Hyperspectral Data Analysis in Hong Kong.” Geocarto International 16: 25–34. doi:10.1080/10106040108542201.
   Google Scholar
• Gonçalves-Seco, L., E. González-Ferreiro, U. Diéguez-Aranda, B. Fraga-Bugallo, R. Crecente, and D. Miranda. 2011. “Assessing the Attributes of High-Density Eucalyptus globulus Stands Using Airborne Laser Scanner Data.” International Journal of Remote Sensing 32: 9821–9841. doi:10.1080/01431161.2011.593583.
   Web of Science ®Google Scholar
• Goodwin, N. R., N. C. Coops, and D. S. Culvenor. 2006. “Assessment of Forest Structure with Airborne LiDAR and the Effects of Platform Altitude.” Remote Sensing of Environment 103: 140–152. doi:10.1016/j.rse.2006.03.003.
   Web of Science ®Google Scholar
• Groeneveld, R. A., and G. Meeden. 1984. “Measuring Skewness and Kurtosis.” Journal of the Royal Statistical Society. Series D (The Statistician) 33: 391–399.
   Google Scholar
• Hall, S. A., I. C. Burke, D. O. Box, M. R. Kaufmann, and J. M. Stoker. 2005. “Estimating Stand Structure Using Discrete-Return Lidar: An Example from Low Density, Fire Prone Ponderosa Pine Forests.” Forest Ecology and Management 208: 189–209. doi:10.1016/j.foreco.2004.12.001.
   Web of Science ®Google Scholar
• Harding, D. J., M. A. Lefsky, G. G. Parker, and J. B. Blair. 2001. “Laser Altimeter Canopy Height Profiles: Methods and Validation for Closed-Canopy, Broadleaf Forests.” Remote Sensing of Environment 76: 283–297. doi:10.1016/S0034-4257(00)00210-8.
   Web of Science ®Google Scholar
• Heurich, M., Å. Persson, J. Holmgren, and E. Kennel. 2004. “Detecting and Measuring Individual Trees with Laser Scanning in Mixed Mountain Forest of Central Europe Using an Algorithm Developed for Swedish Boreal Forest Conditions.” International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36: 307–312.
   Google Scholar
• Hodgson, M. E., J. Jensen, G. Raber, J. Tullis, B. A. Davis, G. Thompson, and K. Schuckman. 2005. “An Evaluation of Lidar-Derived Elevation and Terrain Slope in Leaf-Off Conditions.” Photogrammetric Engineering and Remote Sensing 71: 817–823. doi:10.14358/PERS.71.7.817.
   Web of Science ®Google Scholar
• Höfle, B., and N. Pfeifer. 2007. “Correction of Laser Scanning Intensity Data: Data and Model Driven Approaches.” ISPRS Journal of Photogrammetry & Remote Sensing 62: 415–433. doi:10.1016/j.isprsjprs.2007.05.008.
   Web of Science ®Google Scholar
• Holmgren, J., M. Nilsson, and H. Olsson. 2003. “Estimation of Tree Height and Stem Volume on Plots Using Airborne Laser Scanning.” Forest Science 49: 419–428.
   Web of Science ®Google Scholar
• Hyyppä, J., H. Hyyppä, P. Litkey, X. Yu, H. Haggrén, P. Rönnholm, U. Pyysalo, J. Pitkänen, and M. Maltamo. 2004. “Algorithms and Methods of Airborne Laser Scanning for Forest Measurements.” International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 36: 1682–1750.
   Google Scholar
• Hyyppä, J., O. Kelle, M. Lehikoinen, and M. Inkinen. 2001. “A Segmentation-Based Method to Retrieve Stem Volume Estimates from 3-D Tree Height Models Produced by Laser Scanners.” IEEE Transactions on Geoscience and Remote Sensing 39: 969–975. doi:10.1109/36.921414.
   Web of Science ®Google Scholar
• Ioki, K., J. Imanishi, T. Sasaki, Y. Morimoto, and K. Kitada. 2010. “Estimating Stand Volume in Broad-Leaved Forest Using Discrete-Return Lidar: Plot-Based Approach.” Landscape and Ecological Engineering 6: 29–36. doi:10.1007/s11355-009-0077-4.
   Web of Science ®Google Scholar
• Joanes, D. N., and C. A. Gill. 1998. “Comparing Measures of Sample Skewness and Kurtosis.” Journal of the Royal Statistical Society 47: 183–189.
   Google Scholar
• Kim, J. M., K. S. Park, E. S. Baek, Y. K. Song, C. Y. Ahn, K. H. Lee, M. H. Lee, S. Y. Lee, S. H. Lee, Y. K. Jeong, J. H. Jeong, R. W. Joo, K. Choi, M. S. Choi, J. H. Song, J. W. Kim, J. Y. Kim, M. S. Park, T. Y. Song, J. H. Kim, S. I. Yang, W. H. Jang, and C. S. Jang, eds. 2000. Forest & Forestry Technique. Daejeon: Korea Forest Service (Korean Language Press).
   Google Scholar
• Koch, B., U. Heyder, and H. Welnacker. 2006. “Detection of Individual Tree Crowns in Airborne LiDAR Data.” Photogrammetric Engineering & Remote Sensing 72: 357–363.
   Web of Science ®Google Scholar
• Kukko, A., S. Kaasalainen, and P. Litkey. 2008. “Effect of Incidence Angle on Laser Scanner Intensity and Surface Data.” Applied Optics 47: 986–992. doi:10.1364/AO.47.000986.
   Google Scholar
• Kutner, M., C. Nachtsheim, and J. Neter, eds. 2004. Applied Linear Regression Models. 4th ed. Irwin: McGraw-Hill.
   Google Scholar
• Kvålseth, T. O. 1985. “Cautionary Note about R2.” American Statistician 39: 279–285.
   Web of Science ®Google Scholar
• Kwak, D. A., W. K. Lee, H. K. Cho, S. H. Lee, Y. Son, M. Kafatos, and S. R. Kim. 2010. “Estimating Stem Volume and Biomass of Pinus koraiensis Using LiDAR Data.” Journal of Plant Research 123: 421–432. doi:10.1007/s10265-010-0310-0.
   Web of Science ®Google Scholar
• Kwak, D. A., W. K. Lee, J. H. Lee, G. S. Biging, and P. Gong. 2007. “Detection of Individual Trees and Estimation of Tree Height Using LiDAR Data.” Journal of Forest Research 12: 425–434. doi:10.1007/s10310-007-0041-9.
   Web of Science ®Google Scholar
• Lang, M. W., and G. W. McCarty. 2009. “Lidar Intensity for Improved Detection of Inundation below the Forest Canopy.” Wetlands 29: 1166–1178. doi:10.1672/08-197.1.
   Web of Science ®Google Scholar
• Leckie, D., F. Gougeon, D. Hill, R. Quinn, L. Armstrong, and R. Shreenan. 2003. “Combined High-Density Lidar and Multispectral Imagery for Individual Tree Crown Analysis.” Canadian Journal of Remote Sensing 29: 633–649. doi:10.5589/m03-024.
   Web of Science ®Google Scholar
• Leckie, D. G. 1990. “Advances in Remote Sensing Technologies for Forest Surveys and Management.” Canadian Journal of Forest Research 20: 464–483. doi:10.1139/x90-063.
   Web of Science ®Google Scholar
• Lefsky, M. A., W. B. Cohen, S. A. Acker, G. G. Parker, T. A. Spies, and D. Harding. 1999. “LiDAR Remote Sensing of the Canopy Structure and Biophysical Properties of Douglas-Fir Western Hemlock Forests.” Remote Sensing of Environment 70: 339–361. doi:10.1016/S0034-4257(99)00052-8.
   Web of Science ®Google Scholar
• Lim, K., C. Hopkinson, and P. Treitz. 2008. “Examining the Effects of Sampling Point Densities on Laser Canopy Height and Density Metrics.” The Forestry Chronicle 84: 876–885. doi:10.5558/tfc84876-6.
   Web of Science ®Google Scholar
• Lim, K., P. Treitz, M. Wulder, B. St-Onge, and M. Flood. 2003. “LiDAR Remote Sensing of Forest Structure.” Progress in Physical Geography 27: 88–106. doi:10.1191/0309133303pp360ra.
   Web of Science ®Google Scholar
• Magnussen, S., and P. Boudewyn. 1998. “Derivations of Stand Heights from Airborne Laser Scanner Data with Canopy-Based Quantile Estimators.” Canadian Journal of Forest Research 28: 1016–1031. doi:10.1139/x98-078.
   Web of Science ®Google Scholar
• Magnussen, S., P. Eggermont, and V. N. Lariccia. 1999. “Recovering Tree Heights from Airborne Laser Scanner Data.” Forest Science 45: 407–422.
   Web of Science ®Google Scholar
• Mallows, C. L. 1973. “Some Comments on Cp.” Technometrics 15: 661–675.
   Web of Science ®Google Scholar
• Maltamo, M., J. Hyyppä, and J. Malinen. 2006. “A Comparative Study of the Use of Laser Scanner Data and Field Measurements in the Prediction of Crown Height in Boreal Forests.” Scandinavian Journal of Forest Research 21: 231–238. doi:10.1080/02827580600700353.
   Web of Science ®Google Scholar
• Martin, M. E., S. D. Newman, J. D. Aber, and R. G. Congalton. 1998. “Determining Forest Species Composition Using High Spectral Resolution Remote Sensing Data.” Remote Sensing of Environment 65: 249–254. doi:10.1016/S0034-4257(98)00035-2.
   Web of Science ®Google Scholar
• Means, J. E., S. A. Acker, B. J. Fitt, M. Renslow, L. Emerson, and C. J. Hendrix. 2000. “Predicting Forest Stand Characteristics with Airborne Scanning LiDAR.” Photogrammetry Engineering and Remote Sensing 66: 1367–1371.
   Web of Science ®Google Scholar
• Means, J. E., S. A. Acker, D. J. Harding, J. B. Blair, M. A. Lefsky, W. B. Cohen, M. E. Harmon, and W. A. McKee. 1999. “Use of Large Footprint Scanning Airborne LiDAR to Estimate Forest Stand Characteristics in the Western Cascades of Oregon.” Remote Sensing of Environment 67: 298–308. doi:10.1016/S0034-4257(98)00091-1.
   Web of Science ®Google Scholar
• Næsset, E. 1997a. “Determination of Mean Tree Height of Forest Stands Using Airborne Laser Scanner Data.” ISPRS Journal of Photogrammetry and Remote Sensing 52: 49–56. doi:10.1016/S0924-2716(97)83000-6.
   Web of Science ®Google Scholar
• Næsset, E. 1997b. “Estimating Timber Volume of Forest Stands Using Airborne Laser Scanner Data.” Remote Sensing of Environment 61: 246–253. doi:10.1016/S0034-4257(97)00041-2.
   Web of Science ®Google Scholar
• Næsset, E. 2002. “Predicting Forest Stand Characteristics with Airborne Scanning Laser Using a Practical Two-Stage Procedure and Field Data.” Remote Sensing of Environment 80: 88–99. doi:10.1016/S0034-4257(01)00290-5.
   Web of Science ®Google Scholar
• Næsset, E. 2009. “Effects of Different Sensors, Flying Altitudes, and Pulse Repetition Frequencies on Forest Canopy Metrics and Biophysical Stand Properties Derived from Small-Footprint Airborne Laser Data.” Remote Sensing of Environment 113: 148–159. doi:10.1016/j.rse.2008.09.001.
   Web of Science ®Google Scholar
• Næsset, E., and K. O. Bjerknes. 2001. “Estimating Tree Heights and Number of Stems in Young Forest Stands Using Airborne Laser Scanner Data.” Remote Sensing of Environment 78: 328–340. doi:10.1016/S0034-4257(01)00228-0.
   Web of Science ®Google Scholar
• Nelson, R. 1997. “Modeling Forest Canopy Heights: The Effects of Canopy Shape.” Remote Sensing of Environment 60: 327–334. doi:10.1016/S0034-4257(96)00214-3.
   Web of Science ®Google Scholar
• O’Brien, R. M. 2007. “A Caution Regarding Rules of Thumb for Variance Inflation Factors.” Quality and Quantity 41: 673–690. doi:10.1007/s11135-006-9018-6.
   Web of Science ®Google Scholar
• Ørka, H. O., T. Gobakken, E. Næsset, L. Ene, and V. Lien. 2012. “Simultaneously Acquired Airborne Laser Scanning and Multispectral Imagery for Individual Tree Species Identification.” Canadian Journal of Remote Sensing 38: 125–138. doi:10.5589/m12-021.
   Web of Science ®Google Scholar
• Parker, G. G., M. A. Lefsky, and D. J. Harding. 2001. “Light Transmittance in Forest Canopies Determined Using Airborne Laser Altimetry and In-Canopy Quantum Measurements.” Remote Sensing of Environment 76: 298–309. doi:10.1016/S0034-4257(00)00211-X.
   Web of Science ®Google Scholar
• Parker, R. C., and P. A. Glass. 2004. “High- Versus Low-Density LiDAR in a Double-Sample Forest Inventory.” Southern Journal of Applied Forestry 28: 205–210.
   Web of Science ®Google Scholar
• Persson, A., J. Holmgren, and U. Söderman. 2002. “Detecting and Measuring Individual Trees Using an Airborne Laser Scanner.” Photogrammetric Engineering and Remote Sensing 68: 925–932.
   Web of Science ®Google Scholar
• Peterson, C. J. 2000. “Catastrophic Wind Damage to North American Forests and the Potential Impact of Climate Change.” The Science of the Total Environment 262: 287–311. doi:10.1016/S0048-9697(00)00529-5.
   PubMed Web of Science ®Google Scholar
• Popescu, S. C. 2007. “Estimating Biomass of Individual Pine Trees Using Airborne LiDAR Biomass.” Biomass and Bioenergy 31: 646–655. doi:10.1016/j.biombioe.2007.06.022.
   Web of Science ®Google Scholar
• Popescu, S. C., and R. H. Wynne. 2004. “Seeing the Trees in the Forest: Using LiDAR and Multispectral Data Fusion with Local Filtering and Variable Window Size for Estimating Tree Height.” Photogrammetric Engineering & Remote Sensing 70: 589–604. doi:10.14358/PERS.70.5.589.
   Web of Science ®Google Scholar
• Popescu, S. C., R. H. Wynne, and R. F. Nelson. 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.
   Web of Science ®Google Scholar
• Popescu, S. C., R. H. Wynne, and R. H. Nelson. 2003. “Measuring Individual Tree Crown Diameter with LiDAR and Assessing its Influence on Estimating Forest Volume and Biomass.” Canadian Journal of Remote Sensing 29: 564–577. doi:10.5589/m03-027.
   Web of Science ®Google Scholar
• Reitberger, J., P. Krzystek, and U. Stilla. 2008. “Analysis of Full Waveform LiDAR Data for the Classification of Deciduous and Coniferous Trees.” International Journal of Remote Sensing 29: 1407–1431. doi:10.1080/01431160701736448.
   Web of Science ®Google Scholar
• SAS. 2006. SAS User Guide. Cary, NC: SAS Institute Inc.
   Google Scholar
• Schwarz, G. E. 1978. “Estimating the Dimension of a Model.” The Annals of Statistics 6: 461–464. doi:10.1214/aos/1176344136.
   Web of Science ®Google Scholar
• Sharma, M., G. B. Paige, and S. N. Miller. 2010. “DEM Development from Ground-Based LiDAR Data: A Method to Remove Non-Surface Objects.” Remote Sensing 2: 2629–2642. doi:10.3390/rs2112629.
   Web of Science ®Google Scholar
• Smreček, R., and Z. Danihelová. 2013. “Forest Stand Height Determination from Low Point Density Airborne Laser Scanning Data in Roznava Forest Enterprise Zone (Slovakia).” iForest – Biogeosciences and Forestry 6: 48–54. doi:10.3832/ifor0767-006.
   Web of Science ®Google Scholar
• Soininen, A. 2003. Terrascan User Guide. Finland: TerraSolid.
   Google Scholar
• Son, Y. M., K. H. Lee, Y. K. Park, R. H. Kim, and S. D. Kwon. 2008. Management Plan for Absorption and Emission of Green House Gas in Part of Forest. Seoul: Korea Forest Research Institute (Korean Language Press).
   Google Scholar
• Treitz, P., K. Lim, M. Woods, D. Pitt, D. Nesbitt, and D. Etheridge. 2012. “LiDAR Sampling Density for Forest Resource Inventories in Ontario, Canada.” Remote Sensing 4: 830–848. doi:10.3390/rs4040830.
   Web of Science ®Google Scholar
• Tucker, C. J., D. A. Slayback, J. E. Pinzon, S. O. Los, R. B. Myneni, and M. G. Taylor. 2001. “Higher Northern Latitude Normalized Difference Vegetation Index and Growing Season Trends from 1982 to 1999.” International Journal of Biometeorology 45: 184–190. doi:10.1007/s00484-001-0109-8.
   PubMed Web of Science ®Google Scholar
• Vain, A., S. Kaasalaine, U. Pyysalo, A. Krooks, and P. Litkey. 2009. “Use of Naturally Available Reference Targets to Calibrate Airborne Laser Scanning Intensity Data.” Sensors 9: 2780–2796. doi:10.3390/s90402780.
   Google Scholar
• van Aardt, J. A. N., and R. H. Wynne. 2001. “Spectral Separability among Six Southern Tree Species.” Photogrammetric Engineering and Remote Sensing 67: 1367–1375.
   Web of Science ®Google Scholar
• van Aardt, J. A. N., R. H. Wynne, and R. G. Oderwald. 2006. “Forest Volume and Biomass Estimation Using Small-Footprint LiDAR Distributional Parameters on a Per-Segment Basis.” Forest Science 52: 636–649.
   Web of Science ®Google Scholar
• van Aardt, J. A. N., R. H. Wynne, and J. A. Scrivani. 2008. “Lidar-Based Mapping of Forest Volume and Biomass by Taxonomic Group Using Structurally Homogeneous Segments.” Photogrammetric Engineering & Remote Sensing 74: 1033–1044.
   Google Scholar
• Wack, R., M. Schardt, L. Barrucho, U. Lohr, and T. Oliveira. 2003. “Forest Inventory for Eucalyptus Plantations Based on Airborne Laser Scanner Data.” Paper presented at the ISPRS Working Group III/3 Workshop: 3D Reconstruction from Airborne Laserscanner and InSAR Data for the International Soceity for Photogrammetry and Remote Sensing, Dresden, October 8–10, 7 p.
   Google Scholar
• Watt, P. J., and D. N. M. Donoghue. 2005. “Measuring Forest Structure with Terrestrial Laser Scanning.” International Journal of Remote Sensing 26: 1437–1446. doi:10.1080/01431160512331337961.
   Web of Science ®Google Scholar
• Zhou, L. M., C. J. Tucker, R. K. Kaufmann, D. Slayback, N. V. Shabanov, and R. B. Myneni. 2001. “Variations in Northern Vegetation Activity Inferred from Satellite Data of Vegetation Index during 1981 to 1999.” Journal of Geophysical Research 106: 20069–20083. doi:10.1029/2000JD000115.
   Web of Science ®Google Scholar