Potential of the TROPOspheric Monitoring Instrument (TROPOMI) onboard the Sentinel-5 Precursor for the monitoring of terrestrial chlorophyll fluorescence

被引:184
作者
Guanter, L. [1 ]
Aben, I. [2 ]
Tol, P. [2 ]
Krijger, J. M. [2 ]
Hollstein, A. [1 ]
Koehler, P. [1 ]
Damm, A. [3 ]
Joiner, J. [4 ]
Frankenberg, C. [5 ]
Landgraf, J. [2 ]
机构
[1] Helmholtz Ctr Potsdam, German Res Ctr Geosci GFZ, D-14473 Potsdam, Germany
[2] SRON Netherlands Inst Space Res, NL-3584 CA Utrecht, Netherlands
[3] Univ Zurich, Remote Sensing Labs, CH-8057 Zurich, Switzerland
[4] NASA Goddard Space Flight Ctr, Greenbelt, MD USA
[5] CALTECH, Jet Prop Lab, Pasadena, CA USA
关键词
SUN-INDUCED FLUORESCENCE; GREEN LAI; VEGETATION; RETRIEVAL; INDEX; SPECTROSCOPY; LEAF; PHOTOSYNTHESIS; SCATTERING; RESOLUTION;
D O I
10.5194/amt-8-1337-2015
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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 x 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.
引用
收藏
页码:1337 / 1352
页数:16
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