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Titel |
Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence |
VerfasserIn |
L. Guanter, I. Aben, P. Tol, J. M. Krijger, A. Hollstein, P. Köhler, A. Damm, J. Joiner, C. Frankenberg, J. Landgraf |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1867-1381
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Digitales Dokument |
URL |
Erschienen |
In: Atmospheric Measurement Techniques ; 8, no. 3 ; Nr. 8, no. 3 (2015-03-19), S.1337-1352 |
Datensatznummer |
250116220
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Publikation (Nr.) |
copernicus.org/amt-8-1337-2015.pdf |
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Zusammenfassung |
Global monitoring of sun-induced chlorophyll fluorescence (SIF) is improving
our knowledge about the photosynthetic functioning of terrestrial ecosystems.
The feasibility of SIF retrievals from spaceborne atmospheric spectrometers
has been demonstrated by a number of studies in the last years. In this work,
we investigate the potential of the upcoming TROPOspheric Monitoring
Instrument (TROPOMI) onboard the Sentinel-5 Precursor satellite mission for
SIF retrieval. TROPOMI will sample the 675–775 nm spectral window with a
spectral resolution of 0.5 nm and a pixel size of 7 km × 7 km. We
use an extensive set of simulated TROPOMI data in order to assess the
uncertainty of single SIF retrievals and subsequent spatio-temporal
composites. Our results illustrate the enormous improvement in SIF monitoring
achievable with TROPOMI with respect to comparable spectrometers currently
in-flight, such as the Global Ozone Monitoring Experiment-2 (GOME-2)
instrument. We find that TROPOMI can reduce global uncertainties in SIF
mapping by more than a factor of 2 with respect to GOME-2, which comes together
with an approximately 5-fold improvement in spatial sampling. Finally, we discuss the
potential of TROPOMI to map other important vegetation parameters at a global
scale with moderate spatial resolution and short revisit time. Those include
leaf photosynthetic pigments and proxies for canopy structure, which will
complement SIF retrievals for a self-contained description of vegetation
condition and functioning. |
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