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@ARTICLE{Meroni:2427,
author = {Meroni, M. and Rossini, M. and Guanter, L. and Alonso, L.
and Rascher, U. and Colombo, R. and Moreno, J.},
title = {{R}emote sensing of solar-induced chlorophyll fluorescence:
{R}eview of methods and applications},
journal = {Remote sensing of environment},
volume = {113},
issn = {0034-4257},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {PreJuSER-2427},
pages = {2037 - 2051},
year = {2009},
note = {This work has been made possible by the funding support of
the ESA-project FLEX Performance analysis and requirements
consolidation study, through ESTEC contract no.
21264/07/NL/FF. The authors would like to thank the four
anonymous reviewers of this manuscript for their valuable
comments which have helped us to improve the completeness
and overall quality of the paper.},
abstract = {Interest in remote sensing (RS) of solar-induced
chlorophyll fluorescence (F) by terrestrial vegetation is
motivated by the link of F to photosynthetic efficiency
which could be exploited for large scale monitoring of plant
status and functioning. Today, passive RS of F is feasible
with different prototypes and commercial ground-based,
airborne, and even spaceborne instruments under certain
conditions. This interest is generating an increasing number
of research projects linking F and RS, such as the
development of new F remote retrieval techniques, the
understanding of the link between the F signal and
vegetation physiology and the feasibility of a satellite
mission specifically designed for F monitoring. This paper
reviews the main issues to be addressed for estimating F
from RS observations. Scattered information about F
estimation exists in the literature. Here, more than 40
scientific papers dealing with F estimation are reviewed and
major differences are found in approaches, instruments and
experimental setups. Different approaches are grouped into
major categories according to RS data requirements (i.e.
radiance or reflectance, multispectral or hyperspectral) and
techniques used to extract F from the remote signal.
Theoretical assumptions. advantages and drawbacks of each
method are outlined and provide perspectives for future
research. Finally, applications of the measured F signal at
the three scales of observation (ground, aircraft and
satellite) are presented and discussed to provide the state
of the art in F estimation. (C) 2009 Elsevier Inc. All
rights reserved.},
keywords = {J (WoSType)},
cin = {ICG-3},
ddc = {050},
cid = {I:(DE-Juel1)ICG-3-20090406},
pnm = {Terrestrische Umwelt},
pid = {G:(DE-Juel1)FUEK407},
shelfmark = {Environmental Sciences / Remote Sensing / Imaging Science
$\&$ Photographic Technology},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000269277200001},
doi = {10.1016/j.rse.2009.05.003},
url = {https://juser.fz-juelich.de/record/2427},
}