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000015577 0247_ $$2DOI$$a10.1016/j.rse.2011.03.011
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000015577 041__ $$aeng
000015577 082__ $$a050
000015577 084__ $$2WoS$$aEnvironmental Sciences
000015577 084__ $$2WoS$$aRemote Sensing
000015577 084__ $$2WoS$$aImaging Science & Photographic Technology
000015577 1001_ $$0P:(DE-HGF)0$$aDamm, A.$$b0
000015577 245__ $$aModeling the impact of spectral sensor configurations on the FLD retrieval accuracy of sun-induced chlorophyll fluorescence
000015577 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2011
000015577 300__ $$a1882 - 1892
000015577 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000015577 3367_ $$2BibTeX$$aARTICLE
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000015577 440_0 $$012722$$aRemote Sensing of Environment$$v115$$x0034-4257$$y8
000015577 500__ $$aThis work was supported by a grant of the European Space Agency (ESA) in the frame of the CEFLES2 campaign (grant no. 20802/07/LG) and by a grant of the Swiss University Conference and ETH-Board in frame of the HyperSwissNet project. We also thank the reviewers for their helpful comments.
000015577 520__ $$aChlorophyll fluorescence is related to photosynthesis and can serve as a remote sensing proxy for estimating photosynthetic energy conversion and carbon uptake. Recent advances in sensor technology allow remote measurements of the sun-induced chlorophyll fluorescence signal (Fs) at leaf and canopy scale. The commonly used Fraunhofer Line Depth (FLD) principle exploits spectrally narrow atmospheric oxygen absorption bands and relates Fs to the difference of the absorption feature depth of a fluorescensing and a non-fluorescensing surface. However, due to the nature of these narrow bands. Fs retrieval results depend not only on vegetation species type or environmental conditions, but also on instrument technology and processing algorithms. Thus, an evaluation of all influencing factors and their separate quantification is required to further improve Fs retrieval and to allow a reproducible interpretation of Fs signals.Here we present a modeling study that isolates and quantifies the impacts of sensor characteristics, such as spectral sampling interval (SSI), spectral resolution (SR), signal to noise ratio (SNR), and spectral shift (SS) on the accuracy of Fs measurements in the oxygen A band centered at 760 nm (O-2-A). Modeled high resolution radiance spectra associated with known Fs were spectrally resampled, taking into consideration the various sensor properties. Fs was retrieved using the three most common FLD retrieval methods, namely the original FLD method (sFLD), the modified FLD (3FLD) and the improved FLD (iFLD). The analysis investigates parameter ranges, which are representative for field and airborne instruments currently used in Fs research (e.g., ASD FieldSpec, OceanOptics HR, AirFLEX, AISA, APEX, CASI, and MERIS).Our results show that the most important parameter affecting the retrieval accuracy is SNR, SR accounts for <= 40% of the error, the SSI for <= 12%, and SS for <= 7% of the error. A trade-off study revealed that high SR can partly compensate for low SNR. There is a strong interrelation between all parameters and the impact of specific parameters can compensate or amplify the influence of others. Hence, the combination of all parameters must be considered by the evaluation of sensors and their potential for Fs retrieval. In general, the standard FLD method strongly overestimates Fs, while 3FLD and iFLD provide a more accurate estimation of Fs. We conclude that technical sensor specifications and the retrieval methods cause a significant variability in retrieved Fs signals. Results are intended to be one relevant component of the total uncertainty budget of Fs retrieval and have to be considered in the interpretation of retrieved Fs signals. (C) 2011 Elsevier Inc. All rights reserved.
000015577 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000015577 588__ $$aDataset connected to Web of Science
000015577 65320 $$2Author$$aSun-induced chlorophyll fluorescence
000015577 65320 $$2Author$$aSensor characteristics
000015577 65320 $$2Author$$aRetrieval methods
000015577 65320 $$2Author$$aFraunhofer Line Depth (FLD)
000015577 65320 $$2Author$$aDirectional effects
000015577 65320 $$2Author$$aSpectral sampling interval
000015577 65320 $$2Author$$aSpectral resolution
000015577 65320 $$2Author$$aSignal to noise ratio
000015577 65320 $$2Author$$aSpectral shift
000015577 650_7 $$2WoSType$$aJ
000015577 7001_ $$0P:(DE-Juel1)VDB84927$$aErler, A.$$b1$$uFZJ
000015577 7001_ $$0P:(DE-HGF)0$$aHillen, W.$$b2
000015577 7001_ $$0P:(DE-HGF)0$$aMeroni, M.$$b3
000015577 7001_ $$0P:(DE-Juel1)VDB96027$$aSchaepman, M.E.$$b4$$uFZJ
000015577 7001_ $$0P:(DE-HGF)0$$aVerhoef, W.$$b5
000015577 7001_ $$0P:(DE-Juel1)129388$$aRascher, U.$$b6$$uFZJ
000015577 773__ $$0PERI:(DE-600)1498713-2$$a10.1016/j.rse.2011.03.011$$gVol. 115, p. 1882 - 1892$$p1882 - 1892$$q115<1882 - 1892$$tRemote sensing of environment$$v115$$x0034-4257$$y2011
000015577 8567_ $$uhttp://dx.doi.org/10.1016/j.rse.2011.03.011
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