Approaches for estimating stand-level volume using terrestrial laser scanning in a single-scan mode

The most efficient way to obtain stand inventory data with terrestrial laser systems (TLS) is with the single-scan mode, which involves taking one scan at a single point. With a single-scan setup, there will be a nondetection of trees in a plot and the representation of the individual trees will be incomplete. We explore how stand-level volume estimates, based on the single-scan mode, perform compared with standard inventory estimates. We base our study on 166 plots in 12 mature stands dominated by Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies L. Karst) in southern Norway. First, we compare individual-tree volume estimates from TLS with estimates from volume functions and measurements from harvesters. We show that individual-tree volumes can be estimated with high precision and accuracy with TLS in single-scan mode. Secondly, we test three approaches for correction of nondetection relying on model-based estimates of the detection probability obtained by point transect sampling estimators...

[1]  Carsten Hess,et al.  Does Tree Architectural Complexity Influence the Accuracy of Wood Volume Estimates of Single Young Trees by Terrestrial Laser Scanning , 2015 .

[2]  Xiaohuan Xi,et al.  Detecting Stems in Dense and Homogeneous Forest Using Single-Scan TLS , 2015 .

[3]  D. Seidel,et al.  How neighborhood affects tree diameter increment – New insights from terrestrial laser scanning and some methodical considerations , 2015 .

[4]  J. Liski,et al.  Tree Root System Characterization and Volume Estimation by Terrestrial Laser Scanning and Quantitative Structure Modeling , 2014 .

[5]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[6]  Mark J. Ducey,et al.  Adjusting for nondetection in forest inventories derived from terrestrial laser scanning , 2013 .

[7]  Terje Gobakken,et al.  Estimating single-tree branch biomass of Norway spruce with terrestrial laser scanning using voxel-based and crown dimension features , 2013 .

[8]  M. Ducey,et al.  Comparison of forest attributes derived from two terrestrial lidar systems. , 2013 .

[9]  Kamil Král,et al.  Arrangement of terrestrial laser scanner positions for area-wide stem mapping of natural forests , 2013 .

[10]  Philip Lewis,et al.  Fast Automatic Precision Tree Models from Terrestrial Laser Scanner Data , 2013, Remote. Sens..

[11]  Juha Hyyppä,et al.  Automatic Stem Mapping by Merging Several Terrestrial Laser Scans at the Feature and Decision Levels , 2013, Sensors.

[12]  Correcting the nondetection bias of angle count sampling , 2013 .

[13]  Point transect sampling of deadwood: a comparison with well-established sampling techniques for the estimation of volume and carbon storage in managed forests , 2012, European Journal of Forest Research.

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

[15]  Guang Zheng,et al.  Retrieving Forest Inventory Variables with Terrestrial Laser Scanning (TLS) in Urban Heterogeneous Forest , 2011, Remote. Sens..

[16]  D. Sheil,et al.  Visual detection based distance sampling offers efficient density estimation for distinctive low abundance tropical forest tree species in complex terrain , 2012 .

[17]  C. Woodcock,et al.  Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar , 2011 .

[18]  BäuerleHeidi,et al.  Spatial modeling of habitat trees based on line transect sampling and point pattern reconstruction , 2011 .

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

[20]  Glen Murphy,et al.  Tree value and log product yield determination in radiata pine (Pinus radiata) plantations in Australia: comparisons of terrestrial laser scanning with a forest inventory system and manual measurements , 2010 .

[21]  Len Thomas,et al.  Distance software: design and analysis of distance sampling surveys for estimating population size , 2009, The Journal of applied ecology.

[22]  Len Thomas,et al.  Estimating the Encounter Rate Variance in Distance Sampling , 2009, Biometrics.

[23]  J. Bauhus,et al.  Monitoring habitat trees and coarse woody debris based on sampling schemes. , 2009 .

[24]  Alan H. Strahler,et al.  Retrieval of forest structural parameters using a ground-based lidar instrument (Echidna®) , 2008 .

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

[26]  T. Schweder.  Advanced Distance Sampling: Estimating Abundance of Biological Populations , 2007 .

[27]  A. Granhus,et al.  Skogen i Norge. Statistikk over skogforhold og skogressurser i Norge registrert i perioden 2005-2009 , 2007 .

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

[29]  J. Marshall,et al.  A regression-based equivalence test for model validation: shifting the burden of proof. , 2005, Tree physiology.

[30]  W. Bitterlich,et al.  Die Winkelzählprobe , 1952, Forstwissenschaftliches Centralblatt.

[31]  N. Pfeifer,et al.  Three-dimensional reconstruction of stems for assessment of taper, sweep and lean based on laser scanning of standing trees , 2004 .

[32]  David R. Anderson,et al.  Multimodel Inference , 2004 .

[33]  D. F. Parkhurst,et al.  Statistical Significance Tests: Equivalence and Reverse Tests Should Reduce Misinterpretation , 2001 .

[34]  S. Buckland.  Introduction to distance sampling : estimating abundance of biological populations , 2001 .

[35]  T. Gregoire.  Design-based and model-based inference in survey sampling: appreciating the difference , 1998 .

[36]  Matthew A. Bershady,et al.  Linear Regression for Astronomical Data with Measurement Errors and Intrinsic Scatter , 1996, astro-ph/9605002.

[37]  R. Berger,et al.  Bioequivalence trials, intersection-union tests and equivalence confidence sets , 1996 .

[38]  Timothy G. Gregoire,et al.  Sampling Methods for Multiresource Forest Inventory , 1993 .

[39]  Walter Bitterlich,et al.  The relascope idea. Relative measurements in forestry. , 1984 .

[40]  J. C. Hayya,et al.  A Note on the Ratio of Two Normally Distributed Variables , 1975 .