Estimation of Forest Stock and Yield Using LiDAR Data

[1]  Hans-Gerd Maas,et al.  Automatic forest inventory parameter determination from terrestrial laser scanner data , 2008 .

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

[3]  J. Hyyppä,et al.  Calibration of laser-derived tree height estimates by means of photogrammetric techniques , 2004 .

[4]  Kenji Omasa,et al.  Estimation and Error Analysis of Woody Canopy Leaf Area Density Profiles Using 3-D Airborne and Ground-Based Scanning Lidar Remote-Sensing Techniques , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Juha Hyyppä,et al.  The use of ALS, TLS and VLS measurements in mapping and monitoring urban trees , 2011, 2011 Joint Urban Remote Sensing Event.

[6]  Juha Hyyppä,et al.  Automatic Stem Mapping Using Single-Scan Terrestrial Laser Scanning , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[7]  Woo-Kyun Lee,et al.  Estimating Crown Variables of Individual Trees Using Airborne and Terrestrial Laser Scanners , 2011, Remote. Sens..

[8]  E. Næsset Determination of mean tree height of forest stands using airborne laser scanner data , 1997 .

[9]  J. Hyyppä,et al.  OPTIMIZATION OF THE SCANNING ANGLE FOR COUNTRYWIDE LASER SCANNING , 2005 .

[10]  Yi Lin,et al.  A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements , 2010 .

[11]  M. Vastaranta,et al.  Predicting stand-thinning maturity from airborne laser scanning data , 2011 .

[12]  T. Tokola,et al.  Functions for estimating stem diameter and tree age using tree height, crown width and existing stand database information , 2005 .

[13]  Erik Næsset,et al.  Mapping LAI in a Norway spruce forest using airborne laser scanning , 2009 .

[14]  Juha Hyyppä,et al.  An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning , 2012, Remote. Sens..

[15]  K. Kraus,et al.  Determination of terrain models in wooded areas with airborne laser scanner data , 1998 .

[16]  Tuomas Häme,et al.  A method for estimating the stand characteristics of a forest compartment using satellite imagery. , 1984 .

[17]  Antti Mäkinen,et al.  Uncertainty in Forest Net Present Value Estimations , 2010 .

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

[19]  Felix Morsdorf,et al.  Understory trees in airborne LiDAR data — Selective mapping due to transmission losses and echo-triggering mechanisms , 2012 .

[20]  Annika Kangas,et al.  Effect of tree-level airborne laser-scanning measurement accuracy on the timing and expected value of harvest decisions , 2009, European Journal of Forest Research.

[21]  Jussi Peuhkurinen,et al.  Identification of boreal forest stands with high herbaceous plant diversity using airborne laser scanning , 2009 .

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

[23]  R. Nelson,et al.  Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway , 2011 .

[24]  P. Radtke,et al.  Detailed Stem Measurements of Standing Trees from Ground-Based Scanning Lidar , 2006, Forest Science.

[25]  N. Coops,et al.  Using airborne and ground-based ranging lidar to measure canopy structure in Australian forests , 2003 .

[26]  Liviu Theodor Ene,et al.  Comparative testing of single-tree detection algorithms under different types of forest , 2011 .

[27]  Yi Lin,et al.  From TLS to VLS: Biomass Estimation at Individual Tree Level , 2010, Remote. Sens..

[28]  G. B. Groom,et al.  Relationships between physical characteristics and polarimetric radar backscatter for Corsican pine stands in Thetford Forest, U.K. , 1994 .

[29]  Josef Kellndorfer,et al.  Statistical fusion of lidar, InSAR, and optical remote sensing data for forest stand height characterization: A regional‐scale method based on LVIS, SRTM, Landsat ETM+, and ancillary data sets , 2010 .

[30]  Juha Hyyppä,et al.  Individual Tree Species Classification by Illuminated - Shaded Area Separation , 2009, Remote. Sens..

[31]  Ross Nelson,et al.  A Portable Airborne Laser System for Forest Inventory , 2003 .

[32]  J. Holmgren,et al.  Estimation of tree lists from airborne laser scanning by combining single-tree and area-based methods , 2010 .

[33]  Kenji Omasa,et al.  Voxel-Based 3-D Modeling of Individual Trees for Estimating Leaf Area Density Using High-Resolution Portable Scanning Lidar , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[34]  M. Maltamo,et al.  Airborne laser scanning for the identification of boreal forest site types , 2008 .

[35]  B. Koch,et al.  Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors , 2010 .

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

[37]  Juha Hyyppä,et al.  Methods of airborne laser scanning for forest information extraction , 2006 .

[38]  Ralph Dubayah,et al.  Validation of Vegetation Canopy Lidar sub-canopy topography measurements for a dense tropical forest , 2002 .

[39]  W. Cohen,et al.  Lidar Remote Sensing for Ecosystem Studies , 2002 .

[40]  Juha Hyyppä,et al.  Detecting Changes in Forest Structure over Time with Bi-Temporal Terrestrial Laser Scanning Data , 2012, ISPRS Int. J. Geo Inf..

[41]  Barbara Koch,et al.  TREE SPECIES DETECTION USING FULL WAVEFORM LIDAR DATA IN A COMPLEX FOREST , 2010 .

[42]  Pol Coppin,et al.  3D modeling of light interception in heterogeneous forest canopies using ground-based LiDAR data , 2011, International Journal of Applied Earth Observation and Geoinformation.

[43]  Svein Solberg,et al.  Mapping gap fraction, LAI and defoliation using various ALS penetration variables , 2010 .

[44]  Juha Hyyppä,et al.  USING INDIVIDUAL TREE CROWN APPROACH FOR FOREST VOLUME EXTRACTION WITH AERIAL IMAGES AND LASER POINT CLOUDS , 2005 .

[45]  Terje Gobakken,et al.  Estimating forest growth using canopy metrics derived from airborne laser scanner data , 2005 .

[46]  Åsa Persson,et al.  Detecting and measuring individual trees using an airborne laser scanner , 2002 .

[47]  Barbara Koch,et al.  Prior-knowledge-based single-tree extraction , 2011 .

[48]  G. Ståhl,et al.  Cost-Plus-Loss Analyses of Forest Inventory Strategies Based on kNN- Assigned Reference Sample Plot Data , 2003 .

[49]  Petteri Packalen,et al.  Identification of Scandinavian Commercial Species of Individual Trees from Airborne Laser Scanning Data Using Alpha Shape Metrics , 2009 .

[50]  Juha Hyyppä,et al.  Comparison of Area-Based and Individual Tree-Based Methods for Predicting Plot-Level Forest Attributes , 2010, Remote. Sens..

[51]  M. Nilsson Estimation of tree heights and stand volume using an airborne lidar system , 1996 .

[52]  Emmanuel P. Baltsavias,et al.  Airborne laser scanning: basic relations and formulas , 1999 .

[53]  A. Hudak,et al.  Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data , 2008 .

[54]  Richard A. Fournier,et al.  The structural and radiative consistency of three-dimensional tree reconstructions from terrestrial lidar , 2009 .

[55]  Markus Holopainen,et al.  Effect of data acquisition accuracy on timing of stand harvests and expected net present value. , 2006 .

[56]  M. Lefsky,et al.  Laser altimeter canopy height profiles: methods and validation for closed-canopy, broadleaf forests , 2001 .

[57]  M. Vastaranta,et al.  Predicting individual tree attributes from airborne laser point clouds based on the random forests technique , 2011 .

[58]  Ronald J. Hall,et al.  The uncertainty in conifer plantation growth prediction from multi-temporal lidar datasets , 2008 .

[59]  J. Hyyppä,et al.  Change Detection Techniques for Canopy Height Growth Measurements Using Airborne Laser Scanner Data , 2006 .

[60]  Joanne C. White,et al.  Lidar sampling for large-area forest characterization: A review , 2012 .

[61]  P. Gessler,et al.  Forest Service-- National AgroforestryCenter 1-1-2010 Landscape-scale parameterization of a tree-level forest growth model : a k-nearest neighbor imputation approach incorporating LiDAR data , 2013 .

[62]  Åsa Persson,et al.  Species identification of individual trees by combining high resolution LiDAR data with multi‐spectral images , 2008 .

[63]  Terje Gobakken,et al.  Comparing stand inventories for large areas based on photo-interpretation and laser scanning by means of cost-plus-loss analyses , 2004 .

[64]  N. Coops,et al.  Comparing canopy metrics derived from terrestrial and airborne laser scanning in a Douglas-fir dominated forest stand , 2010, Trees.

[65]  Laura Chasmer,et al.  Investigating laser pulse penetration through a conifer canopy by integrating airborne and terrestrial lidar , 2006 .

[66]  Markus Holopainen,et al.  Mapping of snow-damaged trees based on bitemporal airborne LiDAR data , 2011, European Journal of Forest Research.

[67]  Göran Ståhl,et al.  Model-assisted estimation of biomass in a LiDAR sample survey in Hedmark County, NorwayThis article is one of a selection of papers from Extending Forest Inventory and Monitoring over Space and Time. , 2011 .

[68]  Hannu Hyyppae,et al.  Accuracy of laser scanning for DTM generation in forested areas , 2000, Defense, Security, and Sensing.

[69]  Markus Hollaus,et al.  Airborne Laser Scanning of Forest Stem Volume in a Mountainous Environment , 2007, Sensors (Basel, Switzerland).

[70]  W. W. Carson,et al.  Accuracy of a high-resolution lidar terrain model under a conifer forest canopy , 2003 .

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

[72]  J. Hyyppä,et al.  Obtaining plotwise mean height and volume growth in boreal forests using multi‐temporal laser surveys and various change detection techniques , 2008 .

[73]  Terje Gobakken,et al.  Sampling and Mapping Forest Volume and Biomass Using Airborne LIDARs , 2009 .

[74]  Annika Kangas,et al.  Propagating the errors of initial forest variables through stand- and tree-level growth simulators , 2010, European Journal of Forest Research.

[75]  Pete Watt,et al.  Measuring forest structure with terrestrial laser scanning , 2005 .

[76]  Juha Hyyppä,et al.  Effects of Individual Tree Detection Error Sources on Forest Management Planning Calculations , 2011, Remote. Sens..

[77]  Juha Hyyppä,et al.  Stem curve measurement using terrestrial laser scanning , 2011 .

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

[79]  Yi Lin,et al.  $k$-Segments-Based Geometric Modeling of VLS Scan Lines , 2011, IEEE Geoscience and Remote Sensing Letters.

[80]  Randolph H. Wynne,et al.  Fusion of Small-Footprint Lidar and Multispectral Data to Estimate Plot- Level Volume and Biomass in Deciduous and Pine Forests in Virginia, USA , 2004, Forest Science.

[81]  Mattias Nyström,et al.  Change detection of mountain vegetation using multi-temporal ALS point clouds. , 2011 .

[82]  E. Næsset,et al.  Laser scanning of forest resources: the nordic experience , 2004 .

[83]  P. Gong,et al.  Automated methods for measuring DBH and tree heights with a commercial scanning lidar , 2011 .

[84]  Markus Holopainen,et al.  Airborne small-footprint discrete-return LiDAR data in the assessment of boreal mire surface patterns, vegetation, and habitats , 2009 .

[85]  S. Magnussen,et al.  Derivations of stand heights from airborne laser scanner data with canopy-based quantile estimators , 1998 .

[86]  Ross Nelson,et al.  Measuring biomass and carbon in delaware using an airborne profiling LIDAR , 2004 .

[87]  David L.B. Jupp,et al.  Measuring tree stem diameters using intensity profiles from ground-based scanning lidar from a fixed viewpoint , 2011 .

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

[89]  Martin Rutzinger,et al.  Estimation of Aboveground Biomass in Alpine Forests: A Semi-Empirical Approach Considering Canopy Transparency Derived from Airborne LiDAR Data , 2010, Sensors.

[90]  B. Koch,et al.  Detection of individual tree crowns in airborne lidar data , 2006 .

[91]  J. Hyyppä,et al.  Automatic detection of harvested trees and determination of forest growth using airborne laser scanning , 2004 .

[92]  Juha Hyyppä,et al.  Tree biomass estimation using ALS features. , 2011 .

[93]  M. Maltamo,et al.  The k-MSN method for the prediction of species-specific stand attributes using airborne laser scanning and aerial photographs , 2007 .

[94]  E. Næsset Practical large-scale forest stand inventory using a small-footprint airborne scanning laser , 2004 .

[95]  R. Nelson,et al.  A Multiple Resource Inventory of Delaware Using Airborne Laser Data , 2003 .

[96]  C. Hopkinson,et al.  Assessing forest metrics with a ground-based scanning lidar , 2004 .

[97]  Juha Hyyppä,et al.  Single-scan TLS methods for forest parameter retrieval , 2008 .

[98]  Juha Hyyppä,et al.  COMPARISON OF TERRESTRIAL LASER SCANNER AND SYNTHETIC APERTURE RADAR DATA IN THE STUDY OF FOREST DEFOLIATION , 2010 .

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

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

[101]  N. J. Tate,et al.  Estimating tree and stand variables in a Corsican Pine woodland from terrestrial laser scanner data , 2009 .

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

[103]  Markus Holopainen,et al.  AREA-BASED SNOW DAMAGE CLASSIFICATION OF FOREST CANOPIES USING BI-TEMPORAL LIDAR DATA , 2012 .

[104]  Laura Chasmer,et al.  Towards a universal lidar canopy height indicator , 2006 .

[105]  Michael A. Lefsky,et al.  Volume estimates of trees with complex architecture from terrestrial laser scanning , 2008 .

[106]  Ross Nelson,et al.  Estimating forest biomass and volume using airborne laser data , 1988 .

[107]  Simo Poso,et al.  Kuvioittaisen arvioimismenetelmän perusteita. , 1983 .

[108]  Juha Hyyppä,et al.  Combination of individual tree detection and area-based approach in imputation of forest variables using airborne laser data , 2012 .

[109]  R. Hill,et al.  Quantifying canopy height underestimation by laser pulse penetration in small-footprint airborne laser scanning data , 2003 .

[110]  E. Næsset,et al.  Prediction of species specific forest inventory attributes using a nonparametric semi-individual tree crown approach based on fused airborne laser scanning and multispectral data , 2010 .

[111]  Antti Mäkinen,et al.  Comparison of various sources of uncertainty in stand-level net present value estimates , 2010 .

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

[113]  M. Maltamo,et al.  Nonparametric estimation of stem volume using airborne laser scanning, aerial photography, and stand-register data , 2006 .

[114]  Annika Kangas,et al.  Using Cost-Plus-Loss Analysis to Define Optimal Forest Inventory Interval and Forest Inventory Accuracy , 2012 .

[115]  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 .

[116]  Matti Maltamo,et al.  Airborne discrete-return LIDAR data in the estimation of vertical canopy cover, angular canopy closure and leaf area index , 2011 .

[117]  Yuhong He,et al.  Mismatch of band sequences between an image and header file: a potential error in SPOT L1A products , 2008 .

[118]  Juha Hyyppä,et al.  DECIDUOUS-CONIFEROUS TREE CLASSIFICATION USING DIFFERENCE BETWEEN FIRST AND LAST PULSE LASER SIGNATURES , 2007 .

[119]  Timo Tokola,et al.  Use of ALS, Airborne CIR and ALOS AVNIR-2 data for estimating tropical forest attributes in Lao PDR , 2011 .