Name
Title | ||
|---|---|---|
Accuracy assessment on reconstruction algorithms of solar-induced Fluorescence Spectrum. |
Abstract | ||
|---|---|---|
Since solar-induced chlorophyll fluorescence (SIF) of vegetation is closely linked to photosynthetic efficiency, it shows great potential that SIF can be exploited to monitor plant status. Since the spectrum of SIF can be used to obtain useful information like peak-ratio and spectral positions of the left and right peaks, it is valuable to retrieve the whole SIF spectrum accurately. In this study, the accuracies of three SIF spectrum reconstruction algorithms, i.e. the Full-spectrum Spectral Fitting Method (F-SFM), the Fluorescence Spectrum Reconstruction (FSR) method, and the SpecFit method, were investigated using simulated datasets. Results show that under most circumstances, the methods of F-SFM and FSR can provide more accurate reconstructed spectra than the SpecFit method. |
Year | Venue | Field |
|---|---|---|
2016 | IGARSS | Iterative reconstruction,Computer science,Fluorescence,Remote sensing,Signal-to-noise ratio,Algorithm,Spectral line,Reflectivity |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
3 | 2 | |