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Volume 11
Issue 16
10.3390/rs11161840
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Article

A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance

by
Sergio Cogliati
1,*,
Marco Celesti
1,
Ilaria Cesana
1,
Franco Miglietta
2,
Lorenzo Genesio
2,
Tommaso Julitta
3,
Dirk Schuettemeyer
4,
Matthias Drusch
4,
Uwe Rascher
5,
Pedro Jurado
4 and
Roberto Colombo
1
1
Remote Sensing of Environmental Dynamics Lab., DISAT, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milan, Italy
2
Institute of Biometeorology, National Research Council (CNR- IBIMET), Via Caproni 8, 50145 Florence, Italy
3
JB Hyperspectral Devices UG, 40225 Düsseldorf, Germany
4
ESA-ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands
5
Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Leo-Brandt-Str., 52425 Jülich, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(16), 1840; https://doi.org/10.3390/rs11161840
Submission received: 12 June 2019 / Revised: 19 July 2019 / Accepted: 2 August 2019 / Published: 7 August 2019
(This article belongs to the Special Issue Recent Progress in Remote Sensing of Terrestrial and Aquatic Fluorescence)
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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.
Keywords: sun-induced chlorophyll fluorescence; spectral fitting method; SFM; fluorescence spectrum; field spectroscopy; FLEX sun-induced chlorophyll fluorescence; spectral fitting method; SFM; fluorescence spectrum; field spectroscopy; FLEX
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MDPI and ACS Style

Cogliati, S.; Celesti, M.; Cesana, I.; Miglietta, F.; Genesio, L.; Julitta, T.; Schuettemeyer, D.; Drusch, M.; Rascher, U.; Jurado, P.; et al. A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance. Remote Sens. 2019, 11, 1840. https://doi.org/10.3390/rs11161840

AMA Style

Cogliati S, Celesti M, Cesana I, Miglietta F, Genesio L, Julitta T, Schuettemeyer D, Drusch M, Rascher U, Jurado P, et al. A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance. Remote Sensing. 2019; 11(16):1840. https://doi.org/10.3390/rs11161840

Chicago/Turabian Style

Cogliati, Sergio, Marco Celesti, Ilaria Cesana, Franco Miglietta, Lorenzo Genesio, Tommaso Julitta, Dirk Schuettemeyer, Matthias Drusch, Uwe Rascher, Pedro Jurado, and et al. 2019. "A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance" Remote Sensing 11, no. 16: 1840. https://doi.org/10.3390/rs11161840

APA Style

Cogliati, S., Celesti, M., Cesana, I., Miglietta, F., Genesio, L., Julitta, T., Schuettemeyer, D., Drusch, M., Rascher, U., Jurado, P., & Colombo, R. (2019). A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance. Remote Sensing, 11(16), 1840. https://doi.org/10.3390/rs11161840

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