Tree biomass estimation using ALS features.

[1]  J. Repola Biomass equations for Scots pine and Norway spruce in Finland , 2009 .

[2]  Randolph H. Wynne,et al.  Estimating forest biomass using small footprint LiDAR data: An individual tree-based approach that incorporates training data , 2005 .

[3]  Åsa Persson,et al.  Identifying species of individual trees using airborne laser scanner , 2004 .

[4]  Tomas Brandtberg Classifying individual tree species under leaf-off and leaf-on conditions using airborne lidar , 2007 .

[5]  John A. Scrivani,et al.  Lidar-based Mapping of Forest Volume and Biomass by Taxonomic Group Using Structurally Homogenous Segments , 2008 .

[6]  Juha Hyyppä,et al.  The accuracy of estimating individual tree variables with airborne laser scanning in a boreal nature reserve , 2004 .

[7]  E. Næsset Predicting forest stand characteristics with airborne scanning laser using a practical two-stage procedure and field data , 2002 .

[8]  Erik Næsset,et al.  Mapping defoliation during a severe insect attack on Scots pine using airborne laser scanning , 2006 .

[9]  J. Means,et al.  Predicting forest stand characteristics with airborne scanning lidar , 2000 .

[10]  Steen Magnussen,et al.  Recovering Tree Heights from Airborne Laser Scanner Data , 1999, Forest Science.

[11]  Juha Hyyppä,et al.  Classification of Defoliated Trees Using Tree-Level Airborne Laser Scanning Data Combined with Aerial Images , 2010, Remote. Sens..

[12]  Risto Ojansuu,et al.  Biomass functions for Scots pine, Norway spruce and birch in Finland , 2007 .

[13]  Jörgen Wallerman,et al.  Estimating field-plot data of forest stands using airborne laser scanning and SPOT HRG data , 2007 .

[14]  P. Axelsson DEM Generation from Laser Scanner Data Using Adaptive TIN Models , 2000 .

[15]  E. Næsset Estimating timber volume of forest stands using airborne laser scanner data , 1997 .

[16]  Mikko Inkinen,et al.  A segmentation-based method to retrieve stem volume estimates from 3-D tree height models produced by laser scanners , 2001, IEEE Trans. Geosci. Remote. Sens..

[17]  Jussi Peuhkurinen,et al.  Predicting Tree Attributes and Quality Characteristics of Scots Pine Using Airborne Laser Scanning Data , 2009 .

[18]  J. Hyyppä,et al.  Tree species classification using airborne LiDAR - effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type , 2010 .

[19]  Sakari Tuominen,et al.  Mapping biomass variables with a multi-source forest inventory technique , 2010 .

[20]  Barbara Koch,et al.  Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment , 2010 .

[21]  M. Maltamo,et al.  Imputation of single-tree attributes using airborne laser scanning-based height, intensity, and alpha shape metrics , 2010 .

[22]  Juha Hyyppä,et al.  Uncertainty in timber assortment estimates predicted from forest inventory data , 2010, European Journal of Forest Research.

[23]  W. Cohen,et al.  Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA , 1999 .