NDLI: Chlorophyll concentration estimation model based on leaf spectra of salt marsh vegetation

Content Provider	IEEE Xplore Digital Library
Author	Lu Xia Liu Fucheng
Copyright Year	2010
Description	Author affiliation: School of Geodesy & Geomatics Engineering, Huaihai Institute of Technology, Jiangsu Marine Resources Development Research Institute, Lianyungang, China (Lu Xia; Liu Fucheng)
Abstract	The nutrient status of Spartina Anglica should be monitored dynamically in order to manage scientifically it, enhance conserve level, and improve its productivity. The author chose leaf spectra of Spartina Anglica located in the same sample plot and tested leaf reflectance and extracted chlorophyll a, b, and chlorophyll a and b concentration for leaf, stem, and mixture of leaf and stem. Seven single variable characteristics parameters which were red edge position (REP), red well position (RWP), red edge area (REA), yellow edge (YE), blue edge (BE), Leaf Chlorophyll Index (LCI) and Water Index (WI) respectively were calculated based on leaf reflectance. Correlation analysis (Table I) between these seven parameters and corresponding chlorophyll concentration was conducted. Based on correlation analysis results, we made chlorophyll concentration estimation model by applying suitable curve simulation methods. Above research results showed that high negative correlation between chlorophyll concentration and red well position, red edge area were found. The largest correlation coefficients were −0.614 and −0.682 respectively. While positive correlation between chlorophyll concentration and LCI and WI were grasped. The largest correlation coefficients were 0.514 and 0.778 respectively. Chlorophyll concentration estimation models (formula 3, 5, 7, and 9) based on leaf level reflectance by applying red well position, red edge area, LCI and WI were established. The accuracy of models was very high and R2 were 0.478, 0.563, 0.413, and 0.764 respectively. The researches provide important reference data with further discuss hyper-spectral map of salt marsh vegetation. Thus, it has important theoretical value.
Starting Page	114
Ending Page	117
File Size	285585
Page Count	4
File Format	PDF
ISBN	9781424485147
e-ISBN	9781424485178
DOI	10.1109/IITA-GRS.2010.5603016
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 Tidal flat Leaf level Estimation Vegetation mapping Spartina Anglica Indexes Reflectance spectra Remote sensing
Content Type	Text
Resource Type	Article

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