A Growth Prediction System for Local Stand Volume Derived from LIDAR Data

References

• Albaugh, T. J., Allen, H. L., Dougherty, P. M. and K. H. Johnsen, 2004, "Long-term Growth Responses of Loblolly Pine to Optimal Nutrient and Water Resource Availability," Forest Ecology and Management , 192:3-19.
   Google Scholar
• Andersen, H-E., McGaughey, R. J. and S. E. Reutebuch, 2005. "Estimating Forest Canopy Fuel Parameters Using LIDAR Data," Remote Sensing of Environment , 94(4):441-449.
   Google Scholar
• Arain, M. A. and N. Restrepo-Coupe, 2005, "Net Ecosystem Production in a Temperate Pine Plantation in Southeastern Canada," Agricultural and Forest Meteorology , 128:223-241.
   Google Scholar
• Coops, N. C., Hilker, T., Wulder, M. A., St-Onge, B., Newnham, G., Siggins, A., and J. A. Trofymow, 2007, "Estimating Canopy Structure of Douglas-Fir Forest Stands from Discrete-Return LIDAR," Trees—Structure and Function , 21:295-310.
   Google Scholar
• Farid, A., Goodrich, D. C., and S. Sorooshian, 2006, "Using LIDAR to Discern Age Classes of Cottonwood Trees in a Riparian Area," Western Journal of Applied Forestry , 21:149-158.
   Google Scholar
• Guan, B. T., Lin, S., Lin, Y., and Y. Wu, 2008, "Growth Efficiency—Survivorship Relationship and Effects of Spacing on Relative Diameter Growth Rate of Japanese Cedars," Forest Ecology and Management , 255:1713-1723.
   Google Scholar
• Hirata, Y., 2005. "Relationship between Tree Height and Topography in a Chamaecyparis obtusa Stand Derived from Laser Scanner Data," Journal of Japanese Forestry Society , 87:497-503 (in Japanese with English summary).
   Google Scholar
• Hirata, Y., 2008, "Estimation of Stand Attributes in Cryptomeria japonica and Chamaecyparis obtusa Stands using QuickBird Panchromatic Data," Journal of Forest Research , 13:147-154.
   Google Scholar
• Hirata, Y., Furuya, N., Suzuki, M., and H. Yamamoto, 2008a, "Estimation of Stand Attributes in Cryptomeria japonica and Chamaecyparis obtusa Stands from Single Tree Detection Using Small-Footprint Airborne LIDAR Data," Journal of Forest Planning , 13:303-309.
   Google Scholar
• Hirata, Y., Furuya, N., Suzuki, M., and H. Yamamoto, 2009, "Airborne Laser Scanning in Forest Management: Individual Tree Identification and Laser Pulse Penetration in a Stand with Different Levels of Thinning," Forest Ecology and Management , 258:752-760.
   Google Scholar
• Hirata, Y., Tanaka, H., and N. Furuya, 2008b, "Canopy and Gap Dynamics Analysed Using Multi-temporal Airborne Laser Scanner Data in a Temperate Deciduous Forest," in Proceedings of Silvilaser , 8th International Conference on LIDAR Applications in Forest Assessment and Inventory, 17-19 September 2008, Heriot-Watt University, Edinburgh, Scotland (CD-ROM).
   Google Scholar
• Hiroshima, T. and T. Nakajima, 2006, "Estimation of Sequestered Carbon in Article-3.4 Private Planted Forests in the First Commitment Period in Japan," Journal of Japanese Forestry Research , 11:427-437.
   Google Scholar
• Holmgren, J., 2004, "Prediction of Tree Height, Basal Area, and Stem Volume in Forest Stands Using Airborne Laser Scanning," Scandinavian Journal of Forest Research , 19:543-553.
   Google Scholar
• Holopainen, M., Makinen, A., Rasinmaki, J., Hyyppa, J., Hyyppa, H., Kaartinen, H., Viitala, R., Vastaranta, M., and A. Kangas, 2010, "Effect of Tree-Level Airborne Laser-Scanning Measurement Accuracy on the Timing and Expected Value of Harvest Decisions," European Journal of Forest Research , 129:899-907.
   Google Scholar
• Hopkinson, C., Chasmer, L., and R. J. Hall, 2008, "The Uncertainty in Conifer Plantation Growth Prediction from Multitemporal LIDAR Datasets," Remote Sensing of Environment , 112:1168-1180.
   Google Scholar
• Hollaus, M., Wagner, W., Schadauer, K., Maier, B., and K. Gabler, 2009, "Growing Stock Estimation for Alpine Forests in Austria: A Robust LIDAR-Based Approach," Canadian Journal of Forest Research—Revue Canadienne De Recherche Forestiere , 39:1387-1400.
   Google Scholar
• Huxley, J. S., 1932, Problems of Relative Growth , New York, NY: The Dial Press, 276 p.
   Google Scholar
• Japanese Forestry Agency, 1970, Volume Table—Eastern Japan , Tokyo, Japan: Japan Forestry Investigation Committee, 333 p. (in Japanese).
   Google Scholar
• Japanese Forestry Agency, 2007, Annual Report on Trends of Forest and Forestry—Fiscal Year 2006 , Tokyo, Japan: Japan Forestry Association, 231 p. (in Japanese)
   Google Scholar
• Kajihara, M., 2000, Stem Growth and Form Estimated from Canopy Information , Tokyo, Japan: Japanese Society of Forest Planning Press, 139 p. (in Japanese).
   Google Scholar
• Kanazawa, Y., Kiyono, Y., and T. Fujimori, 1985, "Crown Development and Stem Growth in Relation to Stand Density in Even-Aged Pure Stands (II): Clear-Length Model of Cryptomeria japonica Stands as a Function of Stand Density and Tree Height," Journal of Japanese Forestry Society , 67:391-397 (in Japanese with English summary).
   Google Scholar
• Kato, A., Moskal, L. M., Schiess, P., Swanson, M., Calhoun, D., and W. Stuetzle, 2009, "Capturing Tree Crown Formation Through Implicit Surface Reconstruction Using Airborne LIDAR Data," Remote Sensing of Environment , 113(6):1148-1162.
   Google Scholar
• Kim, Y., Yang, Z., Cohen, W. B., Pflugmacher, D., Lauver, C. L., and J. L. Vankat, 2009, "Distinguishing between Live and Dead Standing Tree Biomass on the North Rim of Grand Canyon National Park, USA Using Small-Footprint LIDAR Data," Remote Sensing of Environment , 113:2499-2510.
   Google Scholar
• Labrecque, S., Fournier, R. A., Luther, J. E., and D. Piercey, 2006, "A Comparison of Four Methods to Map Biomass from Landsat-TM and Inventory Data in Western Newfoundland," Forest Ecology and Management , 226:129-144.
   Google Scholar
• McRoberts, R. E., and E. O. Tomppo, 2007, "Remote Sensing Support for National Forest Inventories," Remote Sensing of Environment , 110:412-419.
   Google Scholar
• MicroImages, Inc., 2001, TNTmips ver. 6.6, Lincoln, NE: MicroImages, Inc.
   Google Scholar
• Næsset, E., 1997, "Determination of Mean Tree Height of Forest Stands Using Airborne Laser Scanner Data," ISPRS Journal of Photogrammetry and Remote Sensing , 52:49-56.
   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.
   Google Scholar
• Næsset, E., 2004a, "Practical Large-Scale Forest Stand Inventory Using Small-Footprint Airborne Scanning Laser," Scandinavian Journal of Forest Research , 19:164-179.
   Google Scholar
• Næsset, E., 2004b, "Accuracy of Forest Inventory Using Airborne Laser Scanning: Evaluating the First Nordic Full-Scale Operational Project," Scandinavian Journal of Forest Research , 19:554-557.
   Google Scholar
• Næsset, E. and K-O. Bjerknes, 2001, "Estimating Tree Heights and Number of Stems in Young Forest Stands Using Laser Scanner Data," Remote Sensing of Environment , 78:328-340.
   Google Scholar
• Næsset, E. and T. Gobakken, 2005, "Estimating Forest Growth Using Canopy Metrics Derived from Airborne Laser Scanner Data," Remote Sensing of Environment , 96:453-465.
   Google Scholar
• Næsset, E. and T. Økland, 2002, "Estimating Tree Height and Tree Crown Properties Using Airborne Scanning Laser in a Boreal Nature Reserve," Remote Sensing of Environment , 79:105-115.
   Google Scholar
• Nakajima, T., Hirata, Y., Furuya, N., Takezoe, K., Suzuki, M., and S. Tatsuhara, 2008, "Estimating Canopy Information in Cryptomeria japonica and Chamaecyparis obtusa Stands Using LIDAR Data," Journal of Forest Planning , 41:313-318.
   Google Scholar
• Nakajima, T., Hirata, Y., Hiroshima, T., Furuya, N., Tatsuhara, S., and S. Tsuyuki, 2009a, "A Growth Prediction System for Regional Forest Resources Derived from LIDAR Data," Proceedings of International Conference Silvilaser 2009 , 145-153.
   Google Scholar
• Nakajima, T., Lee, J. S., Hirata, Y., Hiroshima, T., and S. Tatsuhara, 2009b, "Risk Assessment of Wind Hazard Based on a Crown Model Using Remote-sensing Data," Proceedings of Japanese Forestry Society , 120:B25.
   Google Scholar
• Nakajima, T., Matsumoto, M., Sasakawa, H., Ishibashi, S., and S. Tatsuhara, 2010, " Estimation of growth parameters within the Local Yield Table Construction System for Planted Forests Throughout Japan," Journal of Forest Planning , 15:99-108.
   Google Scholar
• Nakajima, T., Matsumoto, M., and N. Shiraishi, 2011, "Modeling Diameter Growth and Self-Thinning in Planted Sugi ( Cryptomeria japonica ) Stands," The Open Forest Science Journal , 4:49-56.
   Google Scholar
• Nelson, R., Short, A., and M. Valenti, 2004, "Measuring Biomass and Carbon in Delaware Using an Airborne Profiling LIDAR," Scandinavian Journal of Forest Research , 19:500-511.
   Google Scholar
• Nelson, R., Valenti, M. A., Short, A. and C. Keller, 2003, "A Multiple Resource Inventory of Delaware Using Airborne Laser Data," BioScience , 53:981-992.
   Google Scholar
• Nilsson, M., 1996, "Estimation of Tree Heights and Stand Volume Using an Airborne LIDAR System," Remote Sensing of Environment , 56:1-7.
   Google Scholar
• Persson, Å., Holmgren, J., and U. Söderman, 2002, "Detecting and Measuring Individual Trees Using an Airborne Laser Scanner," Photogrammetric Engineering & Remote Sensing , 68:925-932.
   Google Scholar
• Popescu, S. C., Wynne, R. H., and R. F. 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.
   Google Scholar
• Reineke, L. H., 1933, "Perfecting a Stand-Density Index for Even-Aged Forests," Journal of Agricultural Research , 46:627-638.
   Google Scholar
• Riggins, J. J., Tullis, J. A., and F. M. Stephen, 2009, "Per-segment Aboveground Forest Biomass Estimation Using LIDAR-Derived Height Percentile Statistics," GIScience & Remote Sensing , 46:232-248.
   Google Scholar
• Romberg, W., 1955, "Vereinfachte Numerische Integration," Det Kongelige Norske Videnskabers Selskab Forhandlinger (Trondheim) , 28:30-36.
   Google Scholar
• Roberts, S. D., Dean, T. J., Evans, D. L., McCombs, J. W., Harrington, R. L., and P. A. Glass, 2005, "Estimating Individual Tree Leaf Area in Loblolly Pine Plantations Using LIDAR-Derived Measurements of Height and Crown Dimensions," Forest Ecology and Management , 213:54-70.
   Google Scholar
• Shiraishi, N., 1986, "Study on the Growth Prediction of Even-Aged Stands," Bulletin Tokyo University Forest , 75:199-256 (in Japanese with English summary).
   Google Scholar
• Takahashi, T., Yamamoto, K., Senda, Y., and M. Tsuzuki, 2005, "Estimating Individual Tree Heights of Sugi ( Cryptomeria japonica D. Don) Plantations in Mountainous Areas Using Small-Footprint Airborne LIDAR," Journal of Forest Research , 10:135-142.
   Google Scholar
• Vepakomma, U., St-Onge, B., and D. Kneeshaw, 2011, "Response of a Boreal Forest to Canopy Opening: Assessing Vertical and Lateral Tree Growth with Multitemporal LIDAR Data," Ecological Applications , 21:99-121.
   Google Scholar
• Wang, L., Gong, P., and G. S. Biging, 2004, "Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery," Photogrammetric Engineering & Remote Sensing , 70:351-357.
   Google Scholar
• Wulder, M. A., Bater, C. W., Coops, N. C., Hilker, T., and J. C. White, 2008, "The Role of LIDAR in Sustainable Forest Management," Forestry Chronicle , 84:807-826.
   Google Scholar
• Wynne, R. H., 2006, "LIDAR Remote Sensing of Forest Resources at the Scale of Management," Photogrammetric Engineering and Remote Sensing , 72:1310-1314.
   Google Scholar
• Yamashita, K., Mizoue, N., Ito, S., Inoue, A., Kaga, H., and K. Q. Zhang, 2008, "Identification of Gaps in Mangrove Forests with Airborne LIDAR," Remote Sensing of Environment , 112(5):2309-2325.
   Google Scholar
• Yu, X., Hyyppä, J., Kaartinen, H., and M. Maltamo, 2004, "Automatic Detection of Harvested Trees and Determination of Forest Growth Using Airborne Laser Scanning," Remote Sensing of Environment , 90:451-462.
   Google Scholar
• Zeide, B., 1991, "Self-Thinning and Stand Density," Forest Science , 37:517-523.
   Google Scholar