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Remote Sens. 2014, 6(10), 10171-10192; doi:10.3390/rs61010171

A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements

1
School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China
2
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
3
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100190, China
4
Beijing Research Center for Information Technology in Agriculture, Beijing 100089, China
*
Author to whom correspondence should be addressed.
Received: 16 June 2014 / Revised: 12 August 2014 / Accepted: 2 September 2014 / Published: 23 October 2014
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Abstract

A method for canopy Fluorescence Spectrum Reconstruction (FSR) is proposed in this study, which can be used to retrieve the solar-induced canopy fluorescence spectrum over the whole chlorophyll fluorescence emission region from 640–850 nm. Firstly, the radiance of the solar-induced chlorophyll fluorescence (Fs) at five absorption lines of the solar spectrum was retrieved by a Spectral Fitting Method (SFM). The Singular Vector Decomposition (SVD) technique was then used to extract three basis spectra from a training dataset simulated by the model SCOPE (Soil Canopy Observation, Photochemistry and Energy fluxes). Finally, these basis spectra were linearly combined to reconstruct the Fs spectrum, and the coefficients of them were determined by Weighted Linear Least Squares (WLLS) fitting with the five retrieved Fs values. Results for simulated datasets indicate that the FSR method could accurately reconstruct the Fs spectra from hyperspectral measurements acquired by instruments of high Spectral Resolution (SR) and Signal to Noise Ratio (SNR). The FSR method was also applied to an experimental dataset acquired in a diurnal experiment. The diurnal change of the reconstructed Fs spectra shows that the Fs radiance around noon was higher than that in the morning and afternoon, which is consistent with former studies. Finally, the potential and limitations of this method are discussed. View Full-Text
Keywords: solar-induced chlorophyll fluorescence (Fs); Fluorescence Spectrum Reconstruction (FSR); Fraunhofer Line Discriminator (FLD); Spectral Fitting Method (SFM); Singular Vector Decomposition (SVD); hyperspectral remote sensing solar-induced chlorophyll fluorescence (Fs); Fluorescence Spectrum Reconstruction (FSR); Fraunhofer Line Discriminator (FLD); Spectral Fitting Method (SFM); Singular Vector Decomposition (SVD); hyperspectral remote sensing
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Zhao, F.; Guo, Y.; Verhoef, W.; Gu, X.; Liu, L.; Yang, G. A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements. Remote Sens. 2014, 6, 10171-10192.

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