NDLI: Chlorophyll concentration estimation model based on canopy spectra of Spartina Anglica

Content Provider	IEEE Xplore Digital Library
Author	Liu Fucheng Lu Xia
Copyright Year	2010
Description	Author affiliation: School of Geodesy & Geomatics Engineering, Huaihai Institute of Technology, Lianyungang, China (Liu Fucheng; Lu Xia)
Abstract	Spartina Anglica has been widely used to protect tidal flat and clarify water quality, and studying its spectral reflectance characteristics would be helpful to understand its nutritional status, which usually help to improve and promote the halophyte's cultivation and protection. A total of 8 sample sites in the tidal flat, Lianyungang, had been selected to test their canopy reflectance spectra of Spartina anglica by using ASD FieldSpec HandHeld spectrometer, and the concentration of chlorophyll a, b of each sample's leaves, stems and the mixture of leaves and stems were extracted by acetone method in laboratory. Thereafter the correlation was analyzed between the corresponding chlorophyll concentration and spectral reflectance parameters, namely red edge position (REP), red edge slope, red edge area, yellow edge, blue edge, leaf chlorophyll index(LCI) and water index(WI), and the univariate and multivariate estimation models of chlorophyll concentration were also established based on the spectral reflectance variables with high correlation coefficients. The results showed that the chlorophyll concentration only for leaves had a relatively high correlation with REP, LCI and the reflectance peak ranging from 550nm to 560nm, and their largest correlation coefficients reached 0.75, 0.808 and 0.717 respectively. Relatively high accuracy estimation models, with $R^{2}$ being 0566 and 0.542,for leaf chlorophyll a, b concentration were obtained based on the spectral reflectance variable of red edge slope by applying inverse method, while much higher accuracy estimation models, with $R^{2}$ being 0.779 and 0.841,could also be got based on LCI when cubic function method were used. Chlorophyll a concentration estimation model was created based on multivariable parameters by using multiple linear regression method and its $R^{2}$ was up to 0.899. The research would provide important reference data with further discuss special distribution map of salt marsh vegetation. Hence, it has important theoretical value.
Starting Page	150
Ending Page	153
File Size	294930
Page Count	4
File Format	PDF
ISBN	9781424485147
e-ISBN	9781424485178
DOI	10.1109/IITA-GRS.2010.5603100
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reflectivity Analytical models Correlation Chlorophyll concentration Estimation model Tidal flat Estimation Vegetation mapping Spartina Anglica Canopy reflectance spectra Mathematical model Remote sensing
Content Type	Text
Resource Type	Article

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