Estimation of Gap Fraction and Foliage Clumping in Forest Canopies

The gap fractions of three mature hemi-boreal forest stands in Estonia were estimated using the LAI-2000 plant canopy analyzer ( LI-COR Biosciences, Lincoln, NE, USA) , the TRAC instrument (Edgewall, Miami, FL, USA), Cajanus’ tube, hemispherical photos, as well as terrestrial (TLS) and airborne (ALS) laser scanners. ALS measurements with an 8-year interval confirmed that changes in the structure of mature forest stands are slow, and that measurements in the same season of different years should be well comparable. Gap fraction estimates varied considerably depending on the instruments and methods used. None of the methods considered for the estimation of gap fraction of forest canopies proved superior to others. The increasing spatial resolution of new ALS devices allows the canopy structure to be analyzed in more detail than was possible before. The high vertical resolution of point clouds improves the possibility of estimating the stand height, crown length, and clumping of foliage in the canopy. The clumping/regularity of the foliage in a forest canopy is correlated with tree height, crown length, and basal area. The method suggested herein for the estimation of foliage clumping allows the leaf area estimates of forest canopies to be improved.

[1]  A. Kuusk Specular reflection in the signal of LAI-2000 plant canopy analyzer. , 2016 .

[2]  Pol Coppin,et al.  Assessment of automatic gap fraction estimation of forests from digital hemispherical photography , 2005 .

[3]  T. Nilson A theoretical analysis of the frequency of gaps in plant stands , 1971 .

[4]  Stefan Fleck,et al.  Analyzing forest canopies with ground-based laser scanning: A comparison with hemispherical photography , 2012 .

[5]  J. Repola Biomass equations for birch in Finland , 2008 .

[6]  J. Wilson,et al.  INCLINED POINT QUADRATS , 1960 .

[7]  S. Leblanc,et al.  Tracing Radiation and Architecture of Canopies TRAC MANUAL Version 2.1 , 2002 .

[8]  Andres Kuusk,et al.  Digital photography for tracking the phenology of an evergreen conifer stand , 2017 .

[9]  Applying terrestrial LiDAR to derive gap fraction distribution time series during bud break. , 2011 .

[10]  Mait Lang,et al.  A Validation of Coarse Scale Global Vegetation Height Map for Biomass Estimation in Hemiboreal Forests in Estonia , 2016 .

[11]  A. Kuusk,et al.  FOREST TEST SITE AT J ÄRVSELJA , ESTONIA , 2005 .

[12]  Nadine Gobron,et al.  The fourth phase of the radiative transfer model intercomparison (RAMI) exercise: Actual canopy scenarios and conformity testing , 2015 .

[13]  F. M. Danson,et al.  Terrestrial laser scanners to measure forest canopy gap fraction , 2008 .

[14]  M. Rautiainen,et al.  Database of optical and structural data for the validation of radiative transfer models , 2013 .

[15]  P. Beckschäfer,et al.  Standardizing the Protocol for Hemispherical Photographs: Accuracy Assessment of Binarization Algorithms , 2014, PloS one.

[16]  Mait Lang,et al.  Estimation of canopy cover in dense mixed-species forests using airborne lidar data , 2018 .

[17]  Jw Wilson Errors resulting from thickness of point quadrats , 1963 .

[18]  M. Rautiainen,et al.  Estimation of forest canopy cover: A comparison of field measurement techniques , 2006 .

[19]  J. Pisek,et al.  Comparison of methods for measuring gap size distribution and canopy nonrandomness at Järvselja RAMI (RAdiation transfer Model Intercomparison) test sites , 2011 .

[20]  Benjamin Koetz,et al.  Forest Canopy Gap Fraction From Terrestrial Laser Scanning , 2007, IEEE Geoscience and Remote Sensing Letters.

[21]  J. Cihlar,et al.  Plant canopy gap-size analysis theory for improving optical measurements of leaf-area index. , 1995, Applied optics.

[22]  Petteri Packalen,et al.  Effect of flying altitude, scanning angle and scanning mode on the accuracy of ALS based forest inventory , 2016, Int. J. Appl. Earth Obs. Geoinformation.

[23]  A. Kuusk,et al.  Modeling directional forest reflectance with the hybrid type forest reflectance model FRT , 2014 .

[24]  R. Lacaze,et al.  Multi-angular optical remote sensing for assessing vegetation structure and carbon absorption , 2003 .

[25]  F. M. Danson,et al.  TWO-DIMENSIONAL FOREST CANOPY ARCHITECTURE FROM TERRESTRIAL LASER SCANNING , 2007 .

[26]  Andres Kuusk,et al.  Canopy gap fraction estimation from digital hemispherical images using sky radiance models and a linear conversion method , 2010 .

[27]  Mait Lang,et al.  Estimation of change in forest height growth , 2017 .

[28]  Alessandro Cescatti,et al.  Indirect estimates of canopy gap fraction based on the linear conversion of hemispherical photographs Methodology and comparison with standard thresholding techniques , 2007 .

[29]  J. Chen,et al.  Evaluation of hemispherical photography for determining plant area index and geometry of a forest stand , 1991 .

[30]  L. Marklund,et al.  Biomass functions for pine, spruce and birch in Sweden , 1988 .

[31]  Simon D. Jones,et al.  Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems , 2015 .

[32]  John M. Norman,et al.  Characterization of radiation regimes in nonrandom forest canopies: theory, measurements, and a simplified modeling approach. , 1999, Tree physiology.