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Using field spectroscopy to assess the potential of statistical approaches for the retrieval of sun-induced chlorophyll fluorescence from ground and space

Guanter, Luis and Rossini, Micol and Colombo, Roberto and Meroni, Michele and Frankenberg, Christian and Lee, Jung-Eun and Joiner, Joanna (2013) Using field spectroscopy to assess the potential of statistical approaches for the retrieval of sun-induced chlorophyll fluorescence from ground and space. Remote Sensing of Environment, 133 . pp. 52-61. ISSN 0034-4257. doi:10.1016/j.rse.2013.01.017.

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Sun-induced chlorophyll fluorescence (F_s) is an electromagnetic signal emitted in the 650–800 nm spectral window by the chlorophyll-a of green leaves. Previous studies demonstrated the retrieval of F_s on a global scale using high spectral resolution measurements by the Fourier Transform Spectrometer (FTS) on board the greenhouse gases observing satellite (GOSAT). The retrieval of F_s from GOSAT-FTS data is based on the modeling of the in-filling of solar Fraunhofer lines by F_s. The first F_s retrieval methods for GOSAT-FTS measurements were based on physical formulations of the radiative transfer between the atmosphere, the surface and the instrument including the F_s emission. As an alternative, a statistical method was also successfully applied to GOSAT data. This method is based on a singular vector decomposition (SVD) technique producing a basis of spectral functions able to model the contribution of the reflected solar radiation to the top-of-atmosphere measurement in a linear way. The F_s signal is included in the forward model as an extra parameter adding to the reflected solar radiation. Here, we use field spectroscopy measurements to provide further experimental evidence on the retrieval of F_s with statistical approaches in both Fraunhofer lines and atmospheric oxygen and water vapor bands. The statistical retrieval method used with GOSAT-FTS data has been adapted to a set of ground-based spectro-radiometer measurements in the 717–780 nm range. Retrieval results in the 745–759 nm window, which contains only Fraunhofer lines, support the overall approach of estimating F_s from space measurements in that spectral window. Furthermore, the application of the method to broader fitting windows including both Fraunhofer lines and and (oxygen and water vapor) atmospheric bands atmospheric bands has been proven to be very effective to reduce the retrieval noise and has also shown a good comparison with reference O_2A-based retrievals. This allows consideration of statistical methods as a powerful option for F_s retrieval from broad-band space-based measurements in the near-infrared.

Item Type:Article
Related URLs:
URLURL TypeDescription
Guanter, Luis0000-0002-8389-5764
Frankenberg, Christian0000-0002-0546-5857
Joiner, Joanna0000-0003-4278-1020
Additional Information:© 2013 Elsevier. Received 22 June 2012. Received in revised form 23 January 2013. Accepted 25 January 2013. Available online 1 March 2013. This research has been funded by the European Commission through the 7th Framework Marie Curie Actions Programme and the Emmy Noether Programme of the German Research Foundation. The authors thank Albert Porcar-Castell from the University of Helsinki for his comments on an earlier version of the manuscript. We acknowledge the staff of the Remote Sensing of Environmental Dynamic Laboratory, DISAT, UNIMIB (S. Cogliati, M. Migliavacca) for their support during the field campaigns.
Group:Keck Institute for Space Studies
Funding AgencyGrant Number
Marie Curie FellowshipUNSPECIFIED
Deutsche Forschungsgemeinschaft (DFG)UNSPECIFIED
Subject Keywords:Fluorescence retrieval; Fraunhofer-line approach; GOSAT-FTS; Singular vector decomposition; O2A-band
Record Number:CaltechAUTHORS:20160222-141519244
Persistent URL:
Official Citation:Luis Guanter, Micol Rossini, Roberto Colombo, Michele Meroni, Christian Frankenberg, Jung-Eun Lee, Joanna Joiner, Using field spectroscopy to assess the potential of statistical approaches for the retrieval of sun-induced chlorophyll fluorescence from ground and space, Remote Sensing of Environment, Volume 133, 15 June 2013, Pages 52-61, ISSN 0034-4257, (
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64645
Deposited By: Colette Connor
Deposited On:22 Feb 2016 23:44
Last Modified:10 Nov 2021 23:33

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