Relationships between leaf chlorophyll content and spectral reflectance and algorithms for non-destructive chlorophyll assessment in higher plant leaves.

Leaf chlorophyll content provides valuable information about physiological status of plants. Reflectance measurement makes it possible to quickly and non-destructively assess, in situ, the chlorophyll content in leaves. Our objective was to investigate the spectral behavior of the relationship between reflectance and chlorophyll content and to develop a technique for non-destructive chlorophyll estimation in leaves with a wide range of pigment content and composition using reflectance in a few broad spectral bands. Spectral reflectance of maple, chestnut, wild vine and beech leaves in a wide range of pigment content and composition was investigated. It was shown that reciprocal reflectance (R lambda)-1 in the spectral range lambda from 520 to 550 nm and 695 to 705 nm related closely to the total chlorophyll content in leaves of all species. Subtraction of near infra-red reciprocal reflectance, (RNIR)-1, from (R lambda)-1 made index [(R lambda)(-1)-(RNIR)-1] linearly proportional to the total chlorophyll content in spectral ranges lambda from 525 to 555 nm and from 695 to 725 nm with coefficient of determination r2 > 0.94. To adjust for differences in leaf structure, the product of the latter index and NIR reflectance [(R lambda)(-1)-(RNIR)-1]*(RNIR) was used; this further increased the accuracy of the chlorophyll estimation in the range lambda from 520 to 585 nm and from 695 to 740 nm. Two independent data sets were used to validate the developed algorithms. The root mean square error of the chlorophyll prediction did not exceed 50 mumol/m2 in leaves with total chlorophyll ranged from 1 to 830 mumol/m2.

[1]  W. E. Loomis,et al.  Absorption Spectra of Leaves. I. The Visible Spectrum. , 1952, Plant physiology.

[2]  D. M. Gates,et al.  Spectral Properties of Plants , 1965 .

[3]  G. Kortuem,et al.  Reflectance Spectroscopy: Principles, Methods, Applications , 1969 .

[4]  H. Gausman,et al.  Reflectance of cotton leaves and their structure , 1969 .

[5]  O. Heath.  The physiological aspects of photosynthesis , 1969 .

[6]  H. Gausman,et al.  Optical parameters of leaves of 30 plant species. , 1973, Plant physiology.

[7]  L. Silva,et al.  Light ray tracing through a leaf cross section. , 1973, Applied optics.

[8]  G. F. Arkin,et al.  A Light Interception Method for Measuring Row Crop Ground Cover , 1977 .

[9]  H. Gausman,et al.  Leaf Reflectance vs. Leaf Chlorophyll and Carotenoid Concentrations for Eight Crops1 , 1977 .

[10]  H. Smith,et al.  Plants and the daylight spectrum. , 1981 .

[11]  H. Gausman,et al.  Evaluation of factors causing reflectance differences between Sun and Shade Leaves , 1984 .

[12]  Masatoshi Aoki,et al.  Remote Sensing of Chlorophyll Content of Leaf (II) , 1986 .

[13]  H. Lichtenthaler.  CHLOROPHYLL AND CAROTENOIDS: PIGMENTS OF PHOTOSYNTHETIC BIOMEMBRANES , 1987 .

[14]  Stanley B. Brown,et al.  THE DEGRADATION OF CHLOROPHYLL - A BIOLOGICAL ENIGMA. , 1987, The New phytologist.

[15]  J. Dungan,et al.  Exploring the relationship between reflectance red edge and chlorophyll content in slash pine. , 1990, Tree physiology.

[16]  Guoying Chen,et al.  Fibre Optic Microprobes and Measurement of the Light Microenvironment within Plant Tissues , 1991 .

[17]  William K. Smith,et al.  Chlorophyll and light gradients in sun and shade leaves of Spinacia oleracea , 1991 .

[18]  Moon S. Kim,et al.  Ratio analysis of reflectance spectra (RARS): An algorithm for the remote estimation of the concentrations of chlorophyll A, chlorophyll B, and carotenoids in soybean leaves , 1992 .

[19]  Thomas C. Vogelmann,et al.  Plant Tissue Optics , 1993 .

[20]  H. Mohr,et al.  ABSORPTION SPECTRA OF LEAVES CORRECTED FOR SCATTERING and DISTRIBUTIONAL ERROR: A RADIATIVE TRANSFER and ABSORPTION STATISTICS TREATMENT , 1993 .

[21]  Claus Buschmann,et al.  In vivo spectroscopy and internal optics of leaves as basis for remote sensing of vegetation , 1993 .

[22]  A. Gitelson,et al.  Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation , 1994 .

[23]  A. Gitelson,et al.  Quantitative estimation of chlorophyll-a using reflectance spectra : experiments with autumn chestnut and maple leaves , 1994 .

[24]  Anatoly A. Gitelson,et al.  Why and What for the Leaves Are Yellow in Autumn? On the Interpretation of Optical Spectra of Senescing Leaves (Acerplatanoides L.)* , 1995 .

[25]  Josep Peñuelas,et al.  Evaluating Wheat Nitrogen Status with Canopy Reflectance Indices and Discriminant Analysis , 1995 .

[26]  B. Yoder,et al.  Predicting nitrogen and chlorophyll content and concentrations from reflectance spectra (400–2500 nm) at leaf and canopy scales , 1995 .

[27]  A. Gitelson,et al.  Non-destructive determination of chlorophyll content of leaves of a green and an aurea mutant of tobacco by reflectance measurements , 1996 .

[28]  Leonid Fukshansky,et al.  Optics of a Bifacial Leaf: 2. Light Regime as Affected by the Leaf Structure and the Light Source , 1996 .

[29]  A. Gitelson,et al.  Use of a green channel in remote sensing of global vegetation from EOS- MODIS , 1996 .

[30]  A. Gitelson,et al.  Signature Analysis of Leaf Reflectance Spectra: Algorithm Development for Remote Sensing of Chlorophyll , 1996 .

[31]  A. Gitelson,et al.  Remote estimation of chlorophyll content in higher plant leaves , 1997 .

[32]  G. A. Blackburn,et al.  Quantifying Chlorophylls and Caroteniods at Leaf and Canopy Scales: An Evaluation of Some Hyperspectral Approaches , 1998 .

[33]  Josep Peñuelas,et al.  Visible and near-infrared reflectance techniques for diagnosing plant physiological status , 1998 .

[34]  B. Datt.  Remote Sensing of Chlorophyll a, Chlorophyll b, Chlorophyll a+b, and Total Carotenoid Content in Eucalyptus Leaves , 1998 .

[35]  John A. Gamon,et al.  Assessing leaf pigment content and activity with a reflectometer , 1999 .

[36]  A. Gitelson,et al.  Non‐destructive optical detection of pigment changes during leaf senescence and fruit ripening , 1999 .

[37]  A. K. Mitchell,et al.  Differentiation among effects of nitrogen fertilization treatments on conifer seedlings by foliar reflectance: a comparison of methods. , 2000, Tree physiology.

[38]  G. Carter,et al.  Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration. , 2001, American journal of botany.

[39]  A. Gitelson,et al.  Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶ , 2001, Photochemistry and photobiology.

[40]  D. Sims,et al.  Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages , 2002 .

[41]  Andrew D. Richardson,et al.  An evaluation of noninvasive methods to estimate foliar chlorophyll content , 2002 .

[42]  A. Gitelson,et al.  Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶ , 2002, Photochemistry and photobiology.

[43]  J. Markwell,et al.  Calibration of the Minolta SPAD-502 leaf chlorophyll meter , 2004, Photosynthesis Research.