THE EFFECT of WIND on TREE STEM PARAMETER ESTIMATION USING TERRESTRIAL LASER SCANNING

The 3D measurement technique of terrestrial laser scanning (TLS) in forest inventories has shown great potential for improving the accuracy and efficiency of both individual tree and plot level data collection. However, the effect of wind has been poorly estimated in the error analysis of TLS tree measurements although it causes varying deformations to the trees. In this paper, we evaluated the effect of wind on tree stem parameter estimation at different heights using TLS. The data consists of one measured Scots pine captured from three different scanning directions with two different scanning resolutions, 6.3 mm and 3.1 mm at 10 m. The measurements were conducted under two different wind speeds, approximately 3 m/s and 9 m/s, as recorded by a nearby weather station of the Finnish Meteorological Institute. Our results show that the wind may cause both the underestimation and overestimation of tree diameter when using TLS. The duration of the scanning is found to have an impact for the measured shape of the tree stem under 9 m/s wind conditions. The results also indicate that a 9 m/s wind does not have a significant effect on the stem parameters of the lower part of a tree (<28% of the tree height). However, as the results imply, the wind conditions should be taken into account more comprehensively in analysis of TLS tree measurements, especially if multiple scans from different positions are registered together. In addition, TLS could potentially be applied to indirectly measure wind speed by observing the tree stem movement.

[1]  Juha Hyyppä,et al.  Individual tree biomass estimation using terrestrial laser scanning , 2013 .

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

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

[4]  Juha Hyyppä,et al.  Detection of Vertical Pole-Like Objects in a Road Environment Using Vehicle-Based Laser Scanning Data , 2010, Remote. Sens..

[5]  M. Holopainen,et al.  Forest Inventory Using Small-Footprint Airborne Lidar , 2008 .

[6]  Arun Kumar Pratihast,et al.  Detection and modelling of 3D trees from mobile laser scanning data , 2010 .

[7]  Juha Hyyppä,et al.  Effects of stand size on the accuracy of remote sensing-based forest inventory , 2001, IEEE Trans. Geosci. Remote. Sens..

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

[9]  Juha Hyyppä,et al.  Tree mapping using airborne, terrestrial and mobile laser scanning – A case study in a heterogeneous urban forest , 2013 .

[10]  Petri Pellikka,et al.  FOREST STAND CHARACTERISTICS AND WIND AND SNOW INDUCED FOREST DAMAGE IN BOREAL FOREST , 2003 .

[11]  J. Shan,et al.  Topographic laser ranging and scanning : principles and processing , 2008 .

[12]  Hannu Hyyppä,et al.  Customized Visualizations of Urban Infill Development Scenarios for Local Stakeholders , 2015 .

[13]  Juha Hyyppä,et al.  BIOMASS ESTIMATION OF INDIVIDUAL TREES USING STEM AND CROWN DIAMETER TLS MEASUREMENTS , 2012 .

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

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

[16]  H. Mayer,et al.  Vibration behavior of plantation-grown Scots pine trees in response to wind excitation , 2010 .

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

[18]  Juha Hyyppä,et al.  Possibilities of a Personal Laser Scanning System for Forest Mapping and Ecosystem Services , 2014, Sensors.

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

[20]  H. Mayer,et al.  Wind-induced tree sways , 1987, Trees.

[21]  I. Kasa A circle fitting procedure and its error analysis , 1976, IEEE Transactions on Instrumentation and Measurement.

[22]  Sanna Kaasalainen,et al.  Predicting tree structure from tree height using terrestrial laser scanning and quantitative structure models , 2014 .

[23]  Derek D. Lichti,et al.  Accuracy assessment of the FARO Focus 3D and Leica HDS6100 panoramic- type terrestrial laser scanners through point-based and plane-based user self-calibration , 2012 .

[24]  M. Vastaranta,et al.  Terrestrial laser scanning in forest inventories , 2016 .

[25]  Dana J. Vanier,et al.  Why industry needs asset management tools , 2001 .

[26]  Juha Hyyppä,et al.  Mobile mapping : road environment mapping using mobile laser scanning : final report , 2013 .

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

[28]  N. Pfeifer,et al.  Modelling of Tree Cross Sections from Terrestrial Laser Scanning Data with Free-form Curves , 2004 .