Retrieval of Sun-Induced Chlorophyll Fluorescence (F) spectrum is one of the challenging perspectives for further advancing F studies towards a better characterization of vegetation structure and functioning. In this study, a simplified Spectral Fitting retrieval algorithm suitable for retrieving the F spectrum with a limited number of parameters is proposed (two parameters for F). The novel algorithm is developed and tested on a set of radiative transfer simulations obtained by coupling SCOPE and MODTRAN5 codes, considering different chlorophyll content, leaf area index and noise levels to produce a large variability in fluorescence and reflectance spectra. The retrieval accuracy is quantified based on several metrics derived from the F spectrum (i.e., red and far-red peaks, O2 bands and spectrally-integrated values). Further, the algorithm is employed to process experimental field spectroscopy measurements collected over different crops during a long-lasting field campaign. The reliability of the retrieval algorithm on experimental measurements is evaluated by cross-comparison with F values computed by an independent retrieval method (i.e., SFM at O2 bands). For the first time, the evolution of the F spectrum along the entire growing season for a forage crop is analyzed and three diverse F spectra are identified at different growing stages. The results show that red F is larger for young canopy; while red and far-red F have similar intensity in an intermediate stage; finally, far-red F is significantly larger for the rest of the season.

Cogliati, S., Celesti, M., Cesana, I., Miglietta, F., Genesio, L., Julitta, T., et al. (2019). A spectral fitting algorithm to retrieve the fluorescence spectrum from canopy radiance. REMOTE SENSING, 11(16), 1840 [10.3390/rs11161840].

A spectral fitting algorithm to retrieve the fluorescence spectrum from canopy radiance

Cogliati, Sergio
;
Celesti, Marco;CESANA, ILARIA;Colombo, Roberto
2019

Abstract

Retrieval of Sun-Induced Chlorophyll Fluorescence (F) spectrum is one of the challenging perspectives for further advancing F studies towards a better characterization of vegetation structure and functioning. In this study, a simplified Spectral Fitting retrieval algorithm suitable for retrieving the F spectrum with a limited number of parameters is proposed (two parameters for F). The novel algorithm is developed and tested on a set of radiative transfer simulations obtained by coupling SCOPE and MODTRAN5 codes, considering different chlorophyll content, leaf area index and noise levels to produce a large variability in fluorescence and reflectance spectra. The retrieval accuracy is quantified based on several metrics derived from the F spectrum (i.e., red and far-red peaks, O2 bands and spectrally-integrated values). Further, the algorithm is employed to process experimental field spectroscopy measurements collected over different crops during a long-lasting field campaign. The reliability of the retrieval algorithm on experimental measurements is evaluated by cross-comparison with F values computed by an independent retrieval method (i.e., SFM at O2 bands). For the first time, the evolution of the F spectrum along the entire growing season for a forage crop is analyzed and three diverse F spectra are identified at different growing stages. The results show that red F is larger for young canopy; while red and far-red F have similar intensity in an intermediate stage; finally, far-red F is significantly larger for the rest of the season.
Articolo in rivista - Articolo scientifico
Field spectroscopy; FLEX; Fluorescence spectrum; SFM; Spectral fitting method; Sun-induced chlorophyll fluorescence;
English
2019
11
16
1840
1840
open
Cogliati, S., Celesti, M., Cesana, I., Miglietta, F., Genesio, L., Julitta, T., et al. (2019). A spectral fitting algorithm to retrieve the fluorescence spectrum from canopy radiance. REMOTE SENSING, 11(16), 1840 [10.3390/rs11161840].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/240184
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