000845186 001__ 845186
000845186 005__ 20210129233317.0
000845186 037__ $$aFZJ-2018-02489
000845186 041__ $$aEnglish
000845186 1001_ $$0P:(DE-Juel1)130098$$aMatveeva, Maria$$b0$$eCorresponding author$$ufzj
000845186 1112_ $$aInternational conference on Terrestrial Systems  Research: Monitoring, Prediction and  High Performance Computing$$cBonn$$d2018-04-04 - 2018-04-06$$wGermany
000845186 245__ $$aLinking spatial and temporal Fluorescence patterns to soil and atmospheric properties in a heterogeneous agriculture landscape
000845186 260__ $$c2018
000845186 3367_ $$033$$2EndNote$$aConference Paper
000845186 3367_ $$2DataCite$$aOther
000845186 3367_ $$2BibTeX$$aINPROCEEDINGS
000845186 3367_ $$2DRIVER$$aconferenceObject
000845186 3367_ $$2ORCID$$aLECTURE_SPEECH
000845186 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1524122614_17984$$xAfter Call
000845186 520__ $$aThere are strong interactions between soil properties, plant growth and atmosphere. We use sun-induced Fluorescence (F) to obtain information about the plant physiological status that can be linked to soil and atmospheric properties, improving our understanding of energy and matter flows. F is a remote sensing signal closely related to the actual rate of photosynthesis and vegetation stress. It reflects functional limitations of the photosynthetic carbon gain and can be measured in solar and atmospheric absorption lines using high performance spectrometers.We have collected data for spatial analyses using the high performance imaging spectrometer HyPlant, measuring in wavelength ranges 400 – 2500 nm and 670 – 780 nm with a spectral resolution of 0.26 nm. Data were recorded with a spatial resolution of 3 m per pixel for the entire region (ca. 14×14 km2) and with a 1 m resolution for the Selhausen area (ca. 1.5×5 km2) that was better characterized, in particular in terms of the land use classification, soil properties and had an Eddy Covariance (EC) tower.The data was processed using iFLD (Improved Fraunhofer Line Discrimination) and SFM (Spectral Fitting Method). We investigated the within- and between-species variability of red and far-red fluorescence and vegetation indices. We have chosen fields with the same crop type and found the distributions of F for the main most active regional crops at the measurement time such as sugar beet, potato and corn. We have found that the variability of the red and far-red fluorescence, PRI and Simple Ratio vegetation indexes is normally distributed. Broader distributions are caused by structural effects (growing canopies) or canopy senescence.Recently, it was shown that the within-field inhomogeneity of F caused by differences in plant performance is related to specific subsurface structures identified by quantitative multi-coil EMI data inversions. The inverted electrical conductivity of the ploughing layer showed minor correlation to fluorescence data, while the correlation between the subsoil conductivity and far-red fluorescence indicate a significant influence of the subsoil on the plant performance, especially during dry periods. In addition to spatially resolved airborne data measured once per year, temporally-resolved passive measurements of F for the chosen crop (sugar beet) were performed in 2017 from the middle of June to the end of October using the hyperspectral field instrument FloxBox.  The FloxBox was installed on the same location as the EC tower to allow linking the plant functioning and atmospheric changes. A huge dataset collected and processed during the last years allows us to perform detailed analyses of interactions within the soil-plant-atmosphere system.
000845186 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000845186 7001_ $$0P:(DE-Juel1)145932$$avon Hebel, Christian$$b1$$ufzj
000845186 7001_ $$0P:(DE-Juel1)172754$$aKrieger, Vera$$b2$$ufzj
000845186 7001_ $$0P:(DE-HGF)0$$aMarke, Tobias$$b3
000845186 7001_ $$0P:(DE-Juel1)162306$$aRademske, Patrick$$b4$$ufzj
000845186 7001_ $$0P:(DE-HGF)0$$aDamm, Alexander$$b5
000845186 7001_ $$0P:(DE-HGF)0$$aCogliati, Sergio$$b6
000845186 7001_ $$0P:(DE-Juel1)168418$$aBrogi, Cosimo$$b7$$ufzj
000845186 7001_ $$0P:(DE-HGF)0$$aWaldhoff, Guido$$b8
000845186 7001_ $$0P:(DE-Juel1)129561$$avan der Kruk, Jan$$b9$$ufzj
000845186 7001_ $$0P:(DE-HGF)0$$aCrewell, Susanne$$b10
000845186 7001_ $$0P:(DE-Juel1)129388$$aRascher, Uwe$$b11$$ufzj
000845186 909CO $$ooai:juser.fz-juelich.de:845186$$pVDB
000845186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)130098$$aForschungszentrum Jülich$$b0$$kFZJ
000845186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)145932$$aForschungszentrum Jülich$$b1$$kFZJ
000845186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172754$$aForschungszentrum Jülich$$b2$$kFZJ
000845186 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$aInstitute for Geophysics and Meteorology, University of Cologne$$b3
000845186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)162306$$aForschungszentrum Jülich$$b4$$kFZJ
000845186 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Remote Sensing Laboratories, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland$$b5
000845186 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Remote Sensing of Environmental Dynamic Lab., University of Milano-Bicocca, Italy$$b6
000845186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)168418$$aForschungszentrum Jülich$$b7$$kFZJ
000845186 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Institute of Geography, GIS & RS, University of Cologne$$b8
000845186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129561$$aForschungszentrum Jülich$$b9$$kFZJ
000845186 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Institute for Geophysics and Meteorology, University of Cologne$$b10
000845186 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129388$$aForschungszentrum Jülich$$b11$$kFZJ
000845186 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000845186 9141_ $$y2018
000845186 920__ $$lyes
000845186 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
000845186 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$kIBG-3$$lAgrosphäre$$x1
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000845186 980__ $$aVDB
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000845186 980__ $$aI:(DE-Juel1)IBG-3-20101118
000845186 980__ $$aUNRESTRICTED