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100 1 _ |a Cogliati, Sergio
|0 0000-0002-7192-2032
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245 _ _ |a A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance
260 _ _ |a Basel
|c 2019
|b MDPI
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520 _ _ |a 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
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700 1 _ |a Celesti, Marco
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700 1 _ |a Cesana, Ilaria
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700 1 _ |a Miglietta, Franco
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700 1 _ |a Genesio, Lorenzo
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700 1 _ |a Julitta, Tommaso
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700 1 _ |a Schuettemeyer, Dirk
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700 1 _ |a Drusch, Matthias
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700 1 _ |a Rascher, Uwe
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700 1 _ |a Jurado, Pedro
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700 1 _ |a Colombo, Roberto
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773 _ _ |a 10.3390/rs11161840
|g Vol. 11, no. 16, p. 1840 -
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|t Remote sensing
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|x 2072-4292
856 4 _ |y OpenAccess
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