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@ARTICLE{Wieneke:819466,
author = {Wieneke, S. and Ahrends, H. and Damm, A. and Pinto, F. and
Stadler, A. and Rossini, M. and Rascher, U.},
title = {{A}irborne based spectroscopy of red and far-red
sun-induced chlorophyll fluorescence: {I}mplications for
improved estimates of gross primary productivity},
journal = {Remote sensing of environment},
volume = {184},
issn = {0034-4257},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2016-05130},
pages = {654 - 667},
year = {2016},
abstract = {Remote sensing (RS) approaches commonly applied to
constrain estimates of gross primary production (GPP) employ
greenness-based vegetation indices derived from surface
reflectance data. Such approaches cannot capture dynamic
changes of photosynthesis rates as caused by environmental
stress. Further, applied vegetation indices are often
affected by background reflectance or saturation effects.
Sun. induced chlorophyll fluorescence (F) provides the most
direct measure of photosynthesis and has been recently
proposed as a new RS approach to improve estimates of GPP
and tracing plant stress reactions. This work aims to
provide further evidence on the complementary information
content of F and its relation to changes in photosynthetic
activity compared to traditional RS approaches. We use the
airborne imaging spectrometer HyPlant to obtain several F
products including red fluorescence (F687), far-red
fluorescence (F760), F760 yield (F760yield) and the ration
between F687 and F760 (Fratio). We calculate several
vegetation indices indicative for vegetation greenness. We
apply a recently proposed F-based semi-mechanistic approach
to improve the forward modeling of GPP using F760 and
compare this approach with a traditional one based on
vegetation greenness and ground measurements of GPP derived
from chamber measurements. In addition, we assess the
sensitivity of F760yield and Fratio for environmental
stress. Our results show an improved predictive capability
of GPP when using F760 compared to greenness-based
vegetation indices. F760yield and Fratio show a strong
variability in time and between different crop types
suffering from different levels of water shortage,
indicating a strong sensitivity of F products for plant
stress reactions. We conclude that the new RS approach of F
provides complements to the set of commonly applies RS: The
use of F760 improves constraining estimates of GPP while the
ratio of red and far-red F shows large potential for
tracking spatio-temporal plant adaptation in response to
environmental stress conditions.},
cin = {IBG-2},
ddc = {050},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {582 - Plant Science (POF3-582)},
pid = {G:(DE-HGF)POF3-582},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000383827800049},
doi = {10.1016/j.rse.2016.07.025},
url = {https://juser.fz-juelich.de/record/819466},
}