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Hyplant-Derived Sun-Induced Fluorescence—A New Opportunity to Disentangle Complex Vegetation Signals from Diverse Vegetation Types
Open AccessArticle

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

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
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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
Received: 12 June 2019 / Revised: 19 July 2019 / Accepted: 2 August 2019 / Published: 7 August 2019
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. View Full-Text
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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Cogliati, S.; Celesti, M.; Cesana, I.; Miglietta, F.; Genesio, L.; Julitta, T.; Schuettemeyer, D.; Drusch, M.; Rascher, U.; Jurado, P.; Colombo, R. A Spectral Fitting Algorithm to Retrieve the Fluorescence Spectrum from Canopy Radiance. Remote Sens. 2019, 11, 1840.

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