000190162 001__ 190162
000190162 005__ 20210129215529.0
000190162 037__ $$aFZJ-2015-03093
000190162 041__ $$aEnglish
000190162 1001_ $$0P:(DE-Juel1)165632$$aWieneke, Sebastian$$b0$$eCorresponding Author$$ufzj
000190162 1112_ $$a9th EARSel Imaging Spectroscopy Workshop$$cLuxembourg$$d2015-04-14 - 2015-04-16$$wLuxembourg
000190162 245__ $$aUsing plant chlorophyll fluorescence for a better prediction of GPP and canopy carbon exchange
000190162 260__ $$c2015
000190162 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1432274363_7183$$xAfter Call
000190162 3367_ $$033$$2EndNote$$aConference Paper
000190162 3367_ $$2DataCite$$aOther
000190162 3367_ $$2ORCID$$aLECTURE_SPEECH
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000190162 3367_ $$2BibTeX$$aINPROCEEDINGS
000190162 520__ $$aPhotosynthesis is the most important exchange process of CO2 between the atmosphere and the land-surface. Spatial and temporal patterns of photosynthesis depend on dynamic plant-specific adaptation strategies to highly variable environmental conditions e.g. light, water, and nutrient availability. Therefore, an accurate quantification of photosynthetic CO2 uptake, commonly referred to as gross primary productivity (GPP), is a key parameter to monitor plant performance.Hyperspectral reflectance techniques often failed to quantify actual photosynthetic light use efficiency (LUE) and only allow measuring pigment content and canopy structure. One promising approach for obtaining global estimates of plant photosynthesis is the use of Sun Induced Chlorophyll Fluorescence (SIF). SIF has been proposed as a direct indicator of plant photosynthesis, and several studies have demonstrated its relationship with vegetation functioning at leaf and canopy level.In this presentation we summarize the results from several remote sensing projects where SIF was used to quantify the functional status of photosynthesis and LUE from the level of single leaves to the field. Based on Monteith (1972) and Van der Tol et al. (2014) models we used remotely sensed SIF flight lines and ground measurements of LUE and SIF yield to estimate GPP. The results from these studies demonstrated high potential of remotely sensed SIF for better understanding of spatial and temporal patterns of GPP and CO2 exchange between the land and atmosphere.
000190162 536__ $$0G:(DE-HGF)POF3-582$$a582 - Plant Science (POF3-582)$$cPOF3-582$$fPOF III$$x0
000190162 7001_ $$0P:(DE-Juel1)129388$$aRascher, Uwe$$b1$$ufzj
000190162 7001_ $$0P:(DE-Juel1)7338$$aSchickling, Anke$$b2$$ufzj
000190162 7001_ $$0P:(DE-Juel1)138884$$aPinto, Francisco$$b3$$ufzj
000190162 7001_ $$0P:(DE-Juel1)162306$$aRademske, Patrick$$b4$$ufzj
000190162 7001_ $$0P:(DE-Juel1)130098$$aMatveeva, Maria$$b5$$ufzj
000190162 7001_ $$0P:(DE-Juel1)162136$$aCendrero, Pilar$$b6$$ufzj
000190162 7001_ $$0P:(DE-HGF)0$$aTol, Christiaan Van der Tolder$$b7
000190162 7001_ $$0P:(DE-HGF)0$$aDamm, Alexander$$b8
000190162 7001_ $$0P:(DE-HGF)0$$aRossini, Micol$$b9
000190162 7001_ $$0P:(DE-HGF)0$$aJulitta, Tommaso$$b10
000190162 7001_ $$0P:(DE-HGF)0$$aColombo, Roberto$$b11
000190162 7001_ $$0P:(DE-HGF)0$$aCogliati, Sergio$$b12
000190162 7001_ $$0P:(DE-HGF)0$$aMiglietta, Franco$$b13
000190162 7001_ $$0P:(DE-HGF)0$$aMoreno, Jose$$b14
000190162 7001_ $$0P:(DE-HGF)0$$aAlonso, Luis$$b15
000190162 7001_ $$0P:(DE-HGF)0$$aMohammed, Gina$$b16
000190162 7001_ $$0P:(DE-HGF)0$$aSchuettemeyer, Dirk$$b17
000190162 7001_ $$0P:(DE-Juel1)129461$$aGraf, Alexander$$b18$$ufzj
000190162 773__ $$y2015
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000190162 9130_ $$0G:(DE-HGF)POF2-89582$$1G:(DE-HGF)POF2-89580$$2G:(DE-HGF)POF3-890$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vPlant Science$$x0
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000190162 9141_ $$y2015
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