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000873141 1001_ $$00000-0001-9725-9956$$aTagliabue, Giulia$$b0$$eCorresponding author
000873141 245__ $$aExploring the spatial relationship between airborne-derived red and far-red sun-induced fluorescence and process-based GPP estimates in a forest ecosystem
000873141 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2019
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000873141 520__ $$aTerrestrial gross primary productivity (GPP) plays an essential role in the global carbon cycle, but the quantification of the spatial and temporal variations in photosynthesis is still largely uncertain. Our work aimed to investigate the potential of remote sensing to provide new insights into plant photosynthesis at a fine spatial resolution. This goal was achieved by exploiting high-resolution images acquired with the FLuorescence EXplorer (FLEX) airborne demonstrator HyPlant. The sensor was flown over a mixed forest, and the images collected were elaborated to obtain two independent indicators of plant photosynthesis. First, maps of sun-induced chlorophyll fluorescence (F), a novel indicator of plant photosynthetic activity, were successfully obtained at both the red and far-red peaks (r2 = 0.89 and p < 0.01, r2 = 0.77 and p < 0.01, respectively, compared to top-of-canopy ground-based measurements acquired synchronously with the overflight) over the forested study area. Second, maps of GPP and absorbed photosynthetically active radiation (APAR) were derived using a customised version of the coupled biophysical model Breathing Earth System Simulator (BESS). The model was driven with airborne-derived maps of key forest traits (i.e., leaf chlorophyll content (LCC) and leaf area index (LAI)) and meteorological data providing a high-resolution snapshot of the variables of interest across the study site. The LCC and LAI were accurately estimated (RMSE = 5.66 μg cm−2 and RMSE = 0.51 m2 m−2, respectively) through an optimised Look-Up-Table-based inversion of the PROSPECT-4-INFORM radiative transfer model, ensuring the accurate representation of the spatial variation of these determinants of the ecosystem's functionality. The spatial relationships between the measured F and modelled BESS outputs were then analysed to interpret the variability of ecosystem functioning at a regional scale. The results showed that far-red F is significantly correlated with the GPP (r2 = 0.46, p < 0.001) and APAR (r2 = 0.43, p < 0.001) in the spatial domain and that this relationship is nonlinear. Conversely, no statistically significant relationships were found between the red F and the GPP or APAR (p > 0.05). The spatial relationships found at high resolution provide valuable insight into the critical role of spatial heterogeneity in controlling the relationship between the far-red F and the GPP, indicating the need to consider this heterogeneity at a coarser resolution.
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000873141 7001_ $$0P:(DE-HGF)0$$aPanigada, Cinzia$$b1
000873141 7001_ $$00000-0001-5171-2364$$aDechant, Benjamin$$b2
000873141 7001_ $$0P:(DE-HGF)0$$aBaret, Frédéric$$b3
000873141 7001_ $$00000-0002-7192-2032$$aCogliati, Sergio$$b4
000873141 7001_ $$0P:(DE-HGF)0$$aColombo, Roberto$$b5
000873141 7001_ $$0P:(DE-HGF)0$$aMigliavacca, Mirco$$b6
000873141 7001_ $$0P:(DE-Juel1)162306$$aRademske, Patrick$$b7
000873141 7001_ $$0P:(DE-Juel1)7338$$aSchickling, Anke$$b8
000873141 7001_ $$0P:(DE-HGF)0$$aSchüttemeyer, Dirk$$b9
000873141 7001_ $$00000-0002-6313-2081$$aVerrelst, Jochem$$b10
000873141 7001_ $$0P:(DE-Juel1)129388$$aRascher, Uwe$$b11
000873141 7001_ $$00000-0001-6238-2479$$aRyu, Youngryel$$b12
000873141 7001_ $$00000-0002-6052-3140$$aRossini, Micol$$b13
000873141 773__ $$0PERI:(DE-600)1498713-2$$a10.1016/j.rse.2019.111272$$gVol. 231, p. 111272 -$$p111272 -$$tRemote sensing of environment$$v231$$x0034-4257$$y2019
000873141 8564_ $$uhttps://juser.fz-juelich.de/record/873141/files/Tagliabue%20et%20al%202019%20%28RSE%29.pdf$$yPublished on 2019-07-03. Available in OpenAccess from 2021-07-03.
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