Comparison of Four Different Sun-Induced Chlorophyll Fluorescence Retrieval Algorithms Using Simulated and Field-Measured Data

Abstract

Up to now, there are four widely used retrieval algorithms for retrieving sun-induced chlorophyll fluorescence (SIF) from plant photosynthesis: the standard FLD method (FLD), the modified FLD (3FLD), the improved FLD (iFLD) and the spectral fitting method (SFM). This paper attempts to compare the four different sun-induced chlorophyll fluorescence retrieval algori thms using simulated and field-measured data. The results show that the SFM and the iFLD methods provide more accurate SIF estimations with root mean square error (RMSE) less than 0.1, using the simulated data. However, when the field-measured data are used, the SFM method is better and the iFLD method becomes unstable, which suggests that the SFM method is appropriate to retrieve SIF from field data measured using a spectrometer instrument with spectral resolution lower than Inm.