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| 001 | 190162 | ||
| 005 | 20210129215529.0 | ||
| 037 | _ | _ | |a FZJ-2015-03093 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Wieneke, Sebastian |0 P:(DE-Juel1)165632 |b 0 |e Corresponding Author |u fzj |
| 111 | 2 | _ | |a 9th EARSel Imaging Spectroscopy Workshop |c Luxembourg |d 2015-04-14 - 2015-04-16 |w Luxembourg |
| 245 | _ | _ | |a Using plant chlorophyll fluorescence for a better prediction of GPP and canopy carbon exchange |
| 260 | _ | _ | |c 2015 |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1432274363_7183 |2 PUB:(DE-HGF) |x After Call |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a Photosynthesis 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. |
| 536 | _ | _ | |a 582 - Plant Science (POF3-582) |0 G:(DE-HGF)POF3-582 |c POF3-582 |x 0 |f POF III |
| 700 | 1 | _ | |a Rascher, Uwe |0 P:(DE-Juel1)129388 |b 1 |u fzj |
| 700 | 1 | _ | |a Schickling, Anke |0 P:(DE-Juel1)7338 |b 2 |u fzj |
| 700 | 1 | _ | |a Pinto, Francisco |0 P:(DE-Juel1)138884 |b 3 |u fzj |
| 700 | 1 | _ | |a Rademske, Patrick |0 P:(DE-Juel1)162306 |b 4 |u fzj |
| 700 | 1 | _ | |a Matveeva, Maria |0 P:(DE-Juel1)130098 |b 5 |u fzj |
| 700 | 1 | _ | |a Cendrero, Pilar |0 P:(DE-Juel1)162136 |b 6 |u fzj |
| 700 | 1 | _ | |a Tol, Christiaan Van der Tolder |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Damm, Alexander |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Rossini, Micol |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Julitta, Tommaso |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Colombo, Roberto |0 P:(DE-HGF)0 |b 11 |
| 700 | 1 | _ | |a Cogliati, Sergio |0 P:(DE-HGF)0 |b 12 |
| 700 | 1 | _ | |a Miglietta, Franco |0 P:(DE-HGF)0 |b 13 |
| 700 | 1 | _ | |a Moreno, Jose |0 P:(DE-HGF)0 |b 14 |
| 700 | 1 | _ | |a Alonso, Luis |0 P:(DE-HGF)0 |b 15 |
| 700 | 1 | _ | |a Mohammed, Gina |0 P:(DE-HGF)0 |b 16 |
| 700 | 1 | _ | |a Schuettemeyer, Dirk |0 P:(DE-HGF)0 |b 17 |
| 700 | 1 | _ | |a Graf, Alexander |0 P:(DE-Juel1)129461 |b 18 |u fzj |
| 773 | _ | _ | |y 2015 |
| 909 | C | O | |o oai:juser.fz-juelich.de:190162 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)165632 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)129388 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)7338 |
| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)138884 |
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| 910 | 1 | _ | |a Forschungszentrum Jülich GmbH |0 I:(DE-588b)5008462-8 |k FZJ |b 18 |6 P:(DE-Juel1)129461 |
| 913 | 0 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF2-89580 |0 G:(DE-HGF)POF2-89582 |2 G:(DE-HGF)POF3-890 |v Plant Science |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Key Technologies for the Bioeconomy |1 G:(DE-HGF)POF3-580 |0 G:(DE-HGF)POF3-582 |2 G:(DE-HGF)POF3-500 |v Plant Science |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2015 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-2-20101118 |k IBG-2 |l Pflanzenwissenschaften |x 0 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-2-20101118 |
| 980 | _ | _ | |a UNRESTRICTED |
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