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@ARTICLE{Hornero:889930,
author = {Hornero, A. and North, P. R. J. and Zarco-Tejada, P. J. and
Rascher, Uwe and Martín, M. P. and Migliavacca, M. and
Hernandez-Clemente, R.},
title = {{A}ssessing the contribution of understory sun-induced
chlorophyll fluorescence through 3-{D} radiative transfer
modelling and field data},
journal = {Remote sensing of environment},
volume = {253},
issn = {0034-4257},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2021-00536},
pages = {112195 -},
year = {2021},
abstract = {A 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.},
cin = {IBG-2},
ddc = {550},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {2171 - Biological and environmental resources for
sustainable use (POF4-217)},
pid = {G:(DE-HGF)POF4-2171},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000604324900005},
doi = {10.1016/j.rse.2020.112195},
url = {https://juser.fz-juelich.de/record/889930},
}