论文信息 - Model development for the estimation of aboveground biomass using a lidar-based sample of Canada’s boreal forest

Model development for the estimation of aboveground biomass using a lidar-based sample of Canada’s boreal forest

Integrated Remote Sensing Studio, Department of Forest Resources Management, University of British Columbia. Pacific Forestry Centre, Canadian Forest Service, Natural Resources Canada. Applied Geomatics Research Group, Centre of Geographic Sciences. Nisga'a Lisims Government. Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada. Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada. Southern Science and Information Section, Ontario Ministry of Natural Resources. For additional information please contact: cbater@interchange.ubc.ca; nicholas.coops@ubc.ca; or mwulder@nrcan.gc.ca

[1] S. Popescu. Estimating biomass of individual pine trees using airborne lidar , 2007 .

[2] H. Andersen,et al. A Comparison of Statistical Methods for Estimating Forest Biomass from Light Detection and Ranging Data , 2008 .

[3] E. Næsset,et al. Estimation of above- and below-ground biomass across regions of the boreal forest zone using airborne laser , 2008 .

[4] D. Posada,et al. Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests. , 2004, Systematic biology.

[5] D. Sprugel,et al. Correcting for Bias in Log‐Transformed Allometric Equations , 1983 .

[6] F. Raulier,et al. Canadian national tree aboveground biomass equations , 2005 .

[7] R. Hall,et al. Assessing prediction errors of generalized tree biomass and volume equations for the boreal forest region of west-central Canada , 2008 .

[8] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[9] X. Guo,et al. Canadian national biomass equations: new parameter estimates that include British Columbia data , 2008 .