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Global Monitoring of Terrestrial Chlorophyll Fluorescence from Moderate-spectral-resolution Near-infrared Satellite Measurements: Methodology, Simulations, and Application to GOME-2Globally mapped terrestrial chlorophyll fluorescence retrievals are of high interest because they can provide information on the functional status of vegetation including light-use efficiency and global primary productivity that can be used for global carbon cycle modeling and agricultural applications. Previous satellite retrievals of fluorescence have relied solely upon the filling-in of solar Fraunhofer lines that are not significantly affected by atmospheric absorption. Although these measurements provide near-global coverage on a monthly basis, they suffer from relatively low precision and sparse spatial sampling. Here, we describe a new methodology to retrieve global far-red fluorescence information; we use hyperspectral data with a simplified radiative transfer model to disentangle the spectral signatures of three basic components: atmospheric absorption, surface reflectance, and fluorescence radiance. An empirically based principal component analysis approach is employed, primarily using cloudy data over ocean, to model and solve for the atmospheric absorption. Through detailed simulations, we demonstrate the feasibility of the approach and show that moderate-spectral-resolution measurements with a relatively high signal-to-noise ratio can be used to retrieve far-red fluorescence information with good precision and accuracy. The method is then applied to data from the Global Ozone Monitoring Instrument 2 (GOME-2). The GOME-2 fluorescence retrievals display similar spatial structure as compared with those from a simpler technique applied to the Greenhouse gases Observing SATellite (GOSAT). GOME-2 enables global mapping of far-red fluorescence with higher precision over smaller spatial and temporal scales than is possible with GOSAT. Near-global coverage is provided within a few days. We are able to show clearly for the first time physically plausible variations in fluorescence over the course of a single month at a spatial resolution of 0.5 deg × 0.5 deg. We also show some significant differences between fluorescence and coincident normalized difference vegetation indices (NDVI) retrievals.
Document ID
20140012652
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
doi:10.5194/amt-6-2803-2013
Authors
Joiner, J. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Gaunter, L. (Freie Univ. Berlin, Germany)
Lindstrot, R. (Freie Univ. Berlin, Germany)
Voigt, M. (Freie Univ. Berlin, Germany)
Vasilkov, A. P. (Science Systems and Applications, Inc. Lanham, MD, United States)
Middleton, E. M. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Huemmrich, K. F. (Maryland Univ. Baltimore, MD, United States)
Yoshida, Y. (Science Systems and Applications, Inc. Lanham, MD, United States)
Frankenberg, C. (Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Date Acquired
September 26, 2014
Publication Date
October 25, 2013
Publication Information
Publication: Atmospheric Measurement Techniques
Publisher: Copernicus Publications
Volume: 6
Issue: 10
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
GSFC-E-DAA-TN8455
Funding Number(s)
CONTRACT_GRANT: NNG12HP08C
CONTRACT_GRANT: NNH10DA001N
CONTRACT_GRANT: NNX10AT36A
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
remote sensing
fluorescence vegetation
satellite global primary productivity

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