000889930 001__ 889930
000889930 005__ 20220210164009.0
000889930 0247_ $$2doi$$a10.1016/j.rse.2020.112195
000889930 0247_ $$2ISSN$$a0034-4257
000889930 0247_ $$2ISSN$$a1879-0704
000889930 0247_ $$2Handle$$a2128/30301
000889930 0247_ $$2altmetric$$aaltmetric:95424304
000889930 0247_ $$2WOS$$aWOS:000604324900005
000889930 037__ $$aFZJ-2021-00536
000889930 041__ $$aEnglish
000889930 082__ $$a550
000889930 1001_ $$0P:(DE-HGF)0$$aHornero, A.$$b0$$eCorresponding author
000889930 245__ $$aAssessing the contribution of understory sun-induced chlorophyll fluorescence through 3-D radiative transfer modelling and field data
000889930 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2021
000889930 3367_ $$2DRIVER$$aarticle
000889930 3367_ $$2DataCite$$aOutput Types/Journal article
000889930 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1642427858_31326
000889930 3367_ $$2BibTeX$$aARTICLE
000889930 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000889930 3367_ $$00$$2EndNote$$aJournal Article
000889930 520__ $$aA major international effort has been made to monitor sun-induced chlorophyll fluorescence (SIF) from space as a proxy for the photosynthetic activity of terrestrial vegetation. However, the effect of spatial heterogeneity on the SIF retrievals from canopy radiance derived from images with medium and low spatial resolution remains uncharacterised. In images from forest and agricultural landscapes, the background comprises a mixture of soil and understory and can generate confounding effects that limit the interpretation of the SIF at the canopy level. This paper aims to improve the understanding of SIF from coarse spatial resolutions in heterogeneous canopies by considering the separated contribution of tree crowns, understory and background components, using a modified version of the FluorFLIGHT radiative transfer model (RTM). The new model is compared with others through the RAMI model intercomparison framework and is validated with airborne data. The airborne campaign includes high-resolution data collected over a tree-grass ecosystem with the HyPlant imaging spectrometer within the FLuorescence EXplorer (FLEX) preparatory missions. Field data measurements were collected from plots with a varying fraction of tree and understory vegetation cover. The relationship between airborne SIF calculated from pure tree crowns and aggregated pixels shows the effect of the understory at different resolutions. For a pixel size smaller than the mean crown size, the impact of the background was low (R2 > 0.99; NRMSE < 0.01). By contrast, for a pixel size larger than the crown size, the goodness of fit decreased (R2 < 0.6; NRMSE > 0.2). This study demonstrates that using a 3D RTM model improves the calculation of SIF significantly (R2 = 0.83, RMSE = 0.03 mW m−2 sr−1 nm−1) when the specific contribution of the soil and understory layers are accounted for, in comparison with the SIF calculated from mixed pixels that considers only one layer as background (R2 = 0.4, RMSE = 0.28 mW m−2 sr−1 nm−1). These results demonstrate the need to account for the contribution of SIF emitted by the understory in the quantification of SIF within tree crowns and within the canopy from aggregated pixels in heterogeneous forest canopies.
000889930 536__ $$0G:(DE-HGF)POF4-2171$$a2171 - Biological and environmental resources for sustainable use (POF4-217)$$cPOF4-217$$fPOF IV$$x0
000889930 588__ $$aDataset connected to CrossRef
000889930 7001_ $$0P:(DE-HGF)0$$aNorth, P. R. J.$$b1
000889930 7001_ $$0P:(DE-HGF)0$$aZarco-Tejada, P. J.$$b2
000889930 7001_ $$0P:(DE-Juel1)129388$$aRascher, Uwe$$b3
000889930 7001_ $$0P:(DE-HGF)0$$aMartín, M. P.$$b4
000889930 7001_ $$0P:(DE-HGF)0$$aMigliavacca, M.$$b5
000889930 7001_ $$0P:(DE-HGF)0$$aHernandez-Clemente, R.$$b6
000889930 773__ $$0PERI:(DE-600)1498713-2$$a10.1016/j.rse.2020.112195$$gVol. 253, p. 112195 -$$p112195 -$$tRemote sensing of environment$$v253$$x0034-4257$$y2021
000889930 8564_ $$uhttps://juser.fz-juelich.de/record/889930/files/Alberto%20et%20al%20BRDF%20resubmission%20-%20Sept%202020%20-%20preprint.pdf$$yOpenAccess
000889930 909CO $$ooai:juser.fz-juelich.de:889930$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000889930 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129388$$aForschungszentrum Jülich$$b3$$kFZJ
000889930 9131_ $$0G:(DE-HGF)POF4-217$$1G:(DE-HGF)POF4-210$$2G:(DE-HGF)POF4-200$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-2171$$aDE-HGF$$bForschungsbereich Erde und Umwelt$$lErde im Wandel – Unsere Zukunft nachhaltig gestalten$$vFür eine nachhaltige Bio-Ökonomie – von Ressourcen zu Produkten$$x0
000889930 9130_ $$0G:(DE-HGF)POF3-582$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vPlant Science$$x0
000889930 9141_ $$y2021
000889930 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bREMOTE SENS ENVIRON : 2018$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000889930 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bREMOTE SENS ENVIRON : 2018$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-09-06
000889930 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2020-09-06$$wger
000889930 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-09-06
000889930 920__ $$lyes
000889930 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
000889930 980__ $$ajournal
000889930 980__ $$aVDB
000889930 980__ $$aUNRESTRICTED
000889930 980__ $$aI:(DE-Juel1)IBG-2-20101118
000889930 9801_ $$aFullTexts