Name
Title | ||
|---|---|---|
A Method to Reconstruct the Solar-Induced Canopy Fluorescence Spectrum from Hyperspectral Measurements |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.3390/rs61010171 | REMOTE SENSING |
Keywords | Field | DocType |
solar-induced chlorophyll fluorescence (Fs),Fluorescence Spectrum Reconstruction (FSR),Fraunhofer Line Discriminator (FLD),Spectral Fitting Method (SFM),Singular Vector Decomposition (SVD),hyperspectral remote sensing | Vector decomposition,Remote sensing,Signal-to-noise ratio,Hyperspectral imaging,Spectral resolution,Spectral line,Chlorophyll fluorescence,Geology,Linear least squares,Radiance | Journal |
Volume | Issue | ISSN |
6 | 10 | 2072-4292 |
Citations | PageRank | References |
6 | 1.31 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Feng Zhao | 1 | 9 | 3.91 |
| Yiqing Guo | 2 | 24 | 5.81 |
| w verhoef | 3 | 69 | 14.73 |
| Xingfa Gu | 4 | 54 | 36.00 |
| Liangyun Liu | 5 | 104 | 45.70 |
| Gui-Jun Yang | 6 | 148 | 33.61 |