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Open AccessArticle

Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers

1
Remote Sensing of Environmental Dynamics Lab., DISAT, Università di Milano-Bicocca, P.zza della Scienza 1, 20126 Milan, Italy
2
Science Systems and Applications Inc., Lanham, MD 20706, USA
3
Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany
4
Ocean Optics, Oxford OX4 2JY, UK
5
NERC Field Spectroscopy Facility, School of Geosciences, University of Edinburgh, Grant Institute, Kings Buildings, West Mains Road, Edinburgh EH9 3FE, UK
6
Biospheric Sciences Laboratory, NASA/Goddard Space Flight Center, Greenbelt, MD 20771, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Eyal Ben-Dor, Clement Atzberger and Prasad S. Thenkabail
Remote Sens. 2016, 8(2), 122; https://doi.org/10.3390/rs8020122
Received: 25 September 2015 / Revised: 26 January 2016 / Accepted: 29 January 2016 / Published: 5 February 2016
(This article belongs to the Special Issue Field Spectroscopy and Radiometry)
Remote Sensing of Sun-Induced Chlorophyll Fluorescence (SIF) is a research field of growing interest because it offers the potential to quantify actual photosynthesis and to monitor plant status. New satellite missions from the European Space Agency, such as the Earth Explorer 8 FLuorescence EXplorer (FLEX) mission—scheduled to launch in 2022 and aiming at SIF mapping—and from the National Aeronautics and Space Administration (NASA) such as the Orbiting Carbon Observatory-2 (OCO-2) sampling mission launched in July 2014, provide the capability to estimate SIF from space. The detection of the SIF signal from airborne and satellite platform is difficult and reliable ground level data are needed for calibration/validation. Several commercially available spectroradiometers are currently used to retrieve SIF in the field. This study presents a comparison exercise for evaluating the capability of four spectroradiometers to retrieve SIF. The results show that an accurate far-red SIF estimation can be achieved using spectroradiometers with an ultrafine resolution (less than 1 nm), while the red SIF estimation requires even higher spectral resolution (less than 0.5 nm). Moreover, it is shown that the Signal to Noise Ratio (SNR) plays a significant role in the precision of the far-red SIF measurements. View Full-Text
Keywords: sun-induced chlorophyll fluorescence (SIF); field spectroscopy; sensor characteristics; SIF retrieval methods; Fraunhofer line depth (FLD); spectral resolution; signal to noise ratio (SNR); SIF calibration/validation sun-induced chlorophyll fluorescence (SIF); field spectroscopy; sensor characteristics; SIF retrieval methods; Fraunhofer line depth (FLD); spectral resolution; signal to noise ratio (SNR); SIF calibration/validation
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MDPI and ACS Style

Julitta, T.; Corp, L.A.; Rossini, M.; Burkart, A.; Cogliati, S.; Davies, N.; Hom, M.; Mac Arthur, A.; Middleton, E.M.; Rascher, U.; Schickling, A.; Colombo, R. Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers. Remote Sens. 2016, 8, 122. https://doi.org/10.3390/rs8020122

AMA Style

Julitta T, Corp LA, Rossini M, Burkart A, Cogliati S, Davies N, Hom M, Mac Arthur A, Middleton EM, Rascher U, Schickling A, Colombo R. Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers. Remote Sensing. 2016; 8(2):122. https://doi.org/10.3390/rs8020122

Chicago/Turabian Style

Julitta, Tommaso; Corp, Lawrence A.; Rossini, Micol; Burkart, Andreas; Cogliati, Sergio; Davies, Neville; Hom, Milton; Mac Arthur, Alasdair; Middleton, Elizabeth M.; Rascher, Uwe; Schickling, Anke; Colombo, Roberto. 2016. "Comparison of Sun-Induced Chlorophyll Fluorescence Estimates Obtained from Four Portable Field Spectroradiometers" Remote Sens. 8, no. 2: 122. https://doi.org/10.3390/rs8020122

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