DocumentCode :
31574
Title :
Improving Chlorophyll Fluorescence Retrieval Using Reflectance Reconstruction Based on Principal Components Analysis
Author :
Xinjie Liu ; Liangyun Liu
Author_Institution :
Key Lab. of Digital Earth Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China
Volume :
12
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
1645
Lastpage :
1649
Abstract :
Methods based on Fraunhofer line discrimination (FLD) for solar-induced chlorophyll fluorescence retrieval require making assumptions or estimations about true reflectance, which is a large source of error, particularly at the O2-B band. This letter presents an alternative solution, which is named the pFLD method, based on principal components analysis to reconstruct the reflectance spectra. The principal components were generated with simulated reflectance spectra covering the most common conditions of vegetation. The pFLD method has been tested with both simulated and field experiment data sets. Compared with the widely used three-band FLD and improved FLD methods, pFLD showed better performance at the O2-B band, particularly when the spectral resolution (SR) or the signal-to-noise ratio was relatively low. The pFLD method can be also successfully applied to field measurements with credible accuracy even at low SR.
Keywords :
principal component analysis; remote sensing; vegetation mapping; Fraunhofer line discrimination; O2-B band; chlorophyll fluorescence retrieval; error source; improved three-band pFLD methods; principal component analysis; reflectance reconstruction; reflectance spectra; signal-to-noise ratio; simulated reflectance spectra; solar-induced chlorophyll fluorescence retrieval; spectral resolution; terrestrial vegetation; Absorption; Accuracy; Atmospheric modeling; Interpolation; Principal component analysis; Remote sensing; Signal to noise ratio; $hbox{O}_{2}-hbox{B}$ band; Fraunhofer line discrimination (FLD); O2-B band; principal components analysis (PCA); reflectance reconstruction; solar-induced chlorophyll fluorescence (Fs);
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
Publisher :
ieee
ISSN :
1545-598X
Type :
jour
DOI :
10.1109/LGRS.2015.2417857
Filename :
7088599
Link To Document :
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