An Automated Instrument for the Measurement of Bark Microrelief

Stan, John T. Van; Jarvis, Matthew T.; Levia, Delphis F.

doi:10.1109/tim.2009.2031338

Cited by 21 publications

(12 citation statements)

References 7 publications

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“…The most recent embodiment of the Van Stan et al (2010) bark microrelief instrument reads 15 data points per second from a sub-millimetre accurate laser rangefinder to produce high-resolution (≥10 radii measured per degree) two-dimensional stem profiles (interested readers are referred to Van Stan et al 2010 for further details). Once a scan is complete, the cross-section is broken into triangles, formed by two adjacent measurement points and the origin.…”

Section: Methodological Solution To Determine Sensor Placementmentioning

confidence: 99%

“…Recognizing this shortcoming, Friesen et al (2008) suggested the need for a precision mounting method which could quickly and accurately determine orthogonal, neutral bending axes and the placement of sensors. The objective of this technical note is to describe an instrumental method addressing this concern using high-resolution cross-sectional scans from the newly-developed LaserBark TM automated tree measurement system (Van Stan et al 2010) to: (1) estimate the location of orthogonal neutral bending axes for asymmetrical trees; and (2) optimize mechanical displacement sensor placement. The theoretical method outlined within this technical note represents an important development, as hydrologists and foresters currently utilize many forms of strain technology (e.g.…”

Section: Technical Notementioning

confidence: 99%

See 1 more Smart Citation

Instrumental method for reducing error in compression-derived measurements of rainfall interception for individual trees

Stan

Jarvis²,

Levia

et al. 2011

Hydrological Sciences Journal

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Section: Methodological Solution To Determine Sensor Placementmentioning

confidence: 99%

Section: Technical Notementioning

confidence: 99%

Instrumental method for reducing error in compression-derived measurements of rainfall interception for individual trees

Stan

Jarvis²,

Levia

et al. 2011

Hydrological Sciences Journal

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“…[7] High-resolution trunk cross sections for each of the study trees were collected in the center of the installation area using the LaserBark automated tree measurement system [Van Stan et al, 2010]. Then, two orthogonal axes, which pass through the centroid of the trunk cross section, were derived using the operations described in equations (1)-(4) of Van Stan et al [2011a].…”

Section: Mechanical Displacement Sensor Installationmentioning

confidence: 99%

“…However, without precise sensor positioning, these interceptionrelated strain phenomena can be obscured by significant wind throw and off-center loading signals [Friesen et al, 2008;Van Stan et al, 2011a]. Using the LaserBark TM automated tree measurement system [Van Stan et al, 2010], Van Stan et al [2011a] developed a theoretical installation procedure to enhance interceptometer sensor placement and, thereby, remove off-center loading and wind-related distortions. This technical note builds upon our previous theoretical advance by evaluating and validating how well the Van Stan et al…”

Section: Introductionmentioning

confidence: 99%

Evaluation of an instrumental method to reduce error in canopy water storage estimates via mechanical displacement

Stan

Martin

Friesen

et al. 2013

Water Resources Research

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[1] To improve the water budgeting of forested catchments and inform relevant hydrologic theory regarding water cycling within forests, the scientific community has been seeking simple, inexpensive, direct methods for determining rain water storage on in situ tree canopies. This paper evaluates an installation arrangement and routine for one such method: mechanical displacement sensors placed on a tree's trunk to directly monitor compression under canopy water loading from rainfall. The evaluated installation routine aligns mechanical displacement sensors along orthogonal axes passing through the mechanical center of the trunk to reduce wind-induced noise. The experimental attainment of neutral bending axes for a subject hardwood and softwood tree suggests the routine is precise and approximates the trunk's mechanical center well regardless of differences in cellular axial stiffness between heart and sapwood. When installed in this precise sensor arrangement, bending tests of different loading directions produced a consistent signal ratio between sensor pairs of approximately À1 (1 unit compression/1 unit elongation), allowing the identification and removal of bending strains from the raw strain signals to isolate the compression component attributable to canopy water storage loads. The same experiments performed on sensors just 5 cm off the trunk's computed mechanical center were unable to produce neutral bending axes or consistent signal ratios during bending from variable loading directions. Results from the method evaluation were translated into a data processing technique that is then applied to strain data collected through two sample rain events (one each for the hardwood and softwood trees). The processed strain data showed a clear synchronicity between rainfall and canopy loading, as well as periods of maximized canopy water loading (canopy storage capacity). Our results indicate that the evaluated arrangement and installation procedure for mechanical displacement sensors may be able to provide scientists with simple, direct canopy water storage estimates at high temporal resolution and sensitivity.

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“…BM may also play a significant role in selecting the microbial community structure and function in the bark portion of the phyllosphere [23]. An objective method of quantifying BM is important for understanding and modelling the hydrological processes observed in forest ecosystems [24,25]. Tree bark is a basic container which intercepts water; therefore, improved quantitative characterization of BM is crucial in understanding the influence of tree species and stand age on water interception.…”

Section: Introductionmentioning

confidence: 99%

A New Method for Characterizing Bark Microrelief Using 3D Vision Systems

Sioma

Socha

Klamerus‐Iwan

2018

Forests

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Bark microrelief (BM), or the spatial patterning of bark texture, is an important bark characteristic shown to significantly affect the ecophysiological functioning of forest ecosystems. BM influences bark micrometeorological conditions and stemflow generation which, in turn, impacts epiphytic vegetation and microbial community patterns, as well as insect foraging behavior. Thus, an objective method to quantify BM is important to understand and model hydro-biogeochemical processes in forest canopy ecosystems. The aim of this study was to develop a method for fast and automated imaging of bark surface morphology. Three-dimensional imaging methods using laser triangulation were used to describe BM. An automated system was developed and applied to calculate three new BM indices for samples collected from five trees representing species common throughout Poland (and Northern Europe): common oak, European ash, trembling aspen, Scots pine, and black alder. These new BM indices may be useful for characterizing and quantitatively relating BM to forest canopy ecophysiological functions.

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An Automated Instrument for the Measurement of Bark Microrelief

Cited by 21 publications

References 7 publications

Instrumental method for reducing error in compression-derived measurements of rainfall interception for individual trees

Instrumental method for reducing error in compression-derived measurements of rainfall interception for individual trees

Evaluation of an instrumental method to reduce error in canopy water storage estimates via mechanical displacement

A New Method for Characterizing Bark Microrelief Using 3D Vision Systems

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