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

An algorithm utilizing reflectance spectra bands in the photosynthetically active radiation (PAR) region of the solar spectrum was developed for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybeans. The defining of specific bands in the reflectance...

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Veröffentlicht in:Remote sensing of environment 1992-03, Vol.39 (3), p.239-247
Hauptverfasser: Chappelle, Emmett W, Kim, Moon S, McMurtrey, James E
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Kim, Moon S
McMurtrey, James E
description An algorithm utilizing reflectance spectra bands in the photosynthetically active radiation (PAR) region of the solar spectrum was developed for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybeans. The defining of specific bands in the reflectance spectrum that corresponded to absorption bands of the individual pigments was basic to the development of the algorithm. The detection of these bands was rendered difficult by the lack of detail in reflectance spectra. It was therefore necessary to manipulate the reflectance spectra so that absorption bands due to specific pigments could be detected and their spectral maxima defined. It was found that by dividing soybean reflectance spectra by an arbitrarily selected reference soybean reflectance spectrum, ratio spectra were obtained in which the absorption bands could be distinctly seen and their wavelength defined. These ratio spectra allowed the defining of those bands corresponding to the absorption bands of chlorophyll a chlorophyll b, and carotenoids. The strong linear relationships of certain combinations of the bands in the ratio spectra to the concentrations of the photosynthetic pigments made it possible to develop a ratio analysis of reflectance spectra algorithm (RARS) by which the concentrations of these pigments could be calculated from the reflectance spectra. The measurements necessary for the development of RARS were made using soybeans which were grown at different nitrogen levels in order to obtain a range of reflectance spectra. A test of the RARS algorithm using other soybean plants showed very good agreement between measured pigment values and those calculated using RARS.
doi_str_mv 10.1016/0034-4257(92)90089-3
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The defining of specific bands in the reflectance spectrum that corresponded to absorption bands of the individual pigments was basic to the development of the algorithm. The detection of these bands was rendered difficult by the lack of detail in reflectance spectra. It was therefore necessary to manipulate the reflectance spectra so that absorption bands due to specific pigments could be detected and their spectral maxima defined. It was found that by dividing soybean reflectance spectra by an arbitrarily selected reference soybean reflectance spectrum, ratio spectra were obtained in which the absorption bands could be distinctly seen and their wavelength defined. These ratio spectra allowed the defining of those bands corresponding to the absorption bands of chlorophyll a chlorophyll b, and carotenoids. The strong linear relationships of certain combinations of the bands in the ratio spectra to the concentrations of the photosynthetic pigments made it possible to develop a ratio analysis of reflectance spectra algorithm (RARS) by which the concentrations of these pigments could be calculated from the reflectance spectra. The measurements necessary for the development of RARS were made using soybeans which were grown at different nitrogen levels in order to obtain a range of reflectance spectra. A test of the RARS algorithm using other soybean plants showed very good agreement between measured pigment values and those calculated using RARS.</description><identifier>ISSN: 0034-4257</identifier><identifier>EISSN: 1879-0704</identifier><identifier>DOI: 10.1016/0034-4257(92)90089-3</identifier><identifier>CODEN: RSEEA7</identifier><language>eng</language><publisher>Legacy CDMS: Elsevier Inc</publisher><subject>absorption ; Agronomy. 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Soil science and plant productions</topic><topic>Biological and medical sciences</topic><topic>CAROTENOIDE</topic><topic>CAROTENOIDES</topic><topic>CAROTENOIDS</topic><topic>CHLOROPHYLLE</topic><topic>CHLOROPHYLLS</topic><topic>CLOROFILAS</topic><topic>Earth Resources And Remote Sensing</topic><topic>ENERGIA SOLAR</topic><topic>ENERGIE SOLAIRE</topic><topic>ESPECTROMETRIA</topic><topic>FEUILLE</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>GLYCINE MAX</topic><topic>HOJAS</topic><topic>LEAVES</topic><topic>Metabolism</topic><topic>OPTICAL PROPERTIES</topic><topic>photosynthesis</topic><topic>Photosynthesis, respiration. Anabolism, catabolism</topic><topic>PHOTOSYNTHETICALLY ACTIVE RADIATION</topic><topic>PLANT ANALYSIS</topic><topic>Plant physiology and development</topic><topic>PROPIEDADES OPTICAS</topic><topic>PROPRIETE OPTIQUE</topic><topic>REMOTE SENSING</topic><topic>SOLAR ENERGY</topic><topic>SOLAR RADIATION</topic><topic>SPECTRAL ANALYSIS</topic><topic>SPECTROMETRIE</topic><topic>SPECTROMETRY</topic><topic>TELEDETECCION</topic><topic>TELEDETECTION</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chappelle, Emmett W</creatorcontrib><creatorcontrib>Kim, Moon S</creatorcontrib><creatorcontrib>McMurtrey, James E</creatorcontrib><collection>AGRIS</collection><collection>NASA Scientific and Technical Information</collection><collection>NASA Technical Reports Server</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Pollution Abstracts</collection><collection>Safety Science and Risk</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Electronics &amp; Communications Abstracts</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chappelle, Emmett W</au><au>Kim, Moon S</au><au>McMurtrey, James E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Remote sensing of environment</jtitle><date>1992-03-01</date><risdate>1992</risdate><volume>39</volume><issue>3</issue><spage>239</spage><epage>247</epage><pages>239-247</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><coden>RSEEA7</coden><abstract>An algorithm utilizing reflectance spectra bands in the photosynthetically active radiation (PAR) region of the solar spectrum was developed for the remote estimation of the concentrations of chlorophyll a, chlorophyll b, and carotenoids in soybeans. The defining of specific bands in the reflectance spectrum that corresponded to absorption bands of the individual pigments was basic to the development of the algorithm. The detection of these bands was rendered difficult by the lack of detail in reflectance spectra. It was therefore necessary to manipulate the reflectance spectra so that absorption bands due to specific pigments could be detected and their spectral maxima defined. It was found that by dividing soybean reflectance spectra by an arbitrarily selected reference soybean reflectance spectrum, ratio spectra were obtained in which the absorption bands could be distinctly seen and their wavelength defined. These ratio spectra allowed the defining of those bands corresponding to the absorption bands of chlorophyll a chlorophyll b, and carotenoids. The strong linear relationships of certain combinations of the bands in the ratio spectra to the concentrations of the photosynthetic pigments made it possible to develop a ratio analysis of reflectance spectra algorithm (RARS) by which the concentrations of these pigments could be calculated from the reflectance spectra. The measurements necessary for the development of RARS were made using soybeans which were grown at different nitrogen levels in order to obtain a range of reflectance spectra. A test of the RARS algorithm using other soybean plants showed very good agreement between measured pigment values and those calculated using RARS.</abstract><cop>Legacy CDMS</cop><pub>Elsevier Inc</pub><doi>10.1016/0034-4257(92)90089-3</doi><tpages>9</tpages></addata></record>
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source Elsevier ScienceDirect Journals; NASA Technical Reports Server
subjects absorption
Agronomy. Soil science and plant productions
Biological and medical sciences
CAROTENOIDE
CAROTENOIDES
CAROTENOIDS
CHLOROPHYLLE
CHLOROPHYLLS
CLOROFILAS
Earth Resources And Remote Sensing
ENERGIA SOLAR
ENERGIE SOLAIRE
ESPECTROMETRIA
FEUILLE
Fundamental and applied biological sciences. Psychology
GLYCINE MAX
HOJAS
LEAVES
Metabolism
OPTICAL PROPERTIES
photosynthesis
Photosynthesis, respiration. Anabolism, catabolism
PHOTOSYNTHETICALLY ACTIVE RADIATION
PLANT ANALYSIS
Plant physiology and development
PROPIEDADES OPTICAS
PROPRIETE OPTIQUE
REMOTE SENSING
SOLAR ENERGY
SOLAR RADIATION
SPECTRAL ANALYSIS
SPECTROMETRIE
SPECTROMETRY
TELEDETECCION
TELEDETECTION
title 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
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