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024 7 _ |2 DOI
|a 10.1016/j.rse.2009.05.003
024 7 _ |2 WOS
|a WOS:000269277200001
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|2 altmetric
037 _ _ |a PreJuSER-2427
041 _ _ |a eng
082 _ _ |a 050
084 _ _ |2 WoS
|a Environmental Sciences
084 _ _ |2 WoS
|a Remote Sensing
084 _ _ |2 WoS
|a Imaging Science & Photographic Technology
100 1 _ |0 P:(DE-HGF)0
|a Meroni, M.
|b 0
245 _ _ |a Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications
260 _ _ |a Amsterdam [u.a.]
|b Elsevier Science
|c 2009
300 _ _ |a 2037 - 2051
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |0 12722
|a Remote Sensing of Environment
|v 113
|x 0034-4257
|y 10
500 _ _ |a 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.
520 _ _ |a 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.
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|2 G:(DE-HGF)
|a Terrestrische Umwelt
|c P24
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a Solar-induced chlorophyll fluorescence
653 2 0 |2 Author
|a Passive techniques
653 2 0 |2 Author
|a Methods
653 2 0 |2 Author
|a Applications
653 2 0 |2 Author
|a Devices
700 1 _ |0 P:(DE-HGF)0
|a Rossini, M.
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Guanter, L.
|b 2
700 1 _ |0 P:(DE-HGF)0
|a Alonso, L.
|b 3
700 1 _ |0 P:(DE-Juel1)129388
|a Rascher, U.
|b 4
|u FZJ
700 1 _ |0 P:(DE-HGF)0
|a Colombo, R.
|b 5
700 1 _ |0 P:(DE-HGF)0
|a Moreno, J.
|b 6
773 _ _ |0 PERI:(DE-600)1498713-2
|a 10.1016/j.rse.2009.05.003
|g Vol. 113, p. 2037 - 2051
|p 2037 - 2051
|q 113<2037 - 2051
|t Remote sensing of environment
|v 113
|x 0034-4257
|y 2009
856 7 _ |u http://dx.doi.org/10.1016/j.rse.2009.05.003
909 C O |o oai:juser.fz-juelich.de:2427
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913 1 _ |0 G:(DE-Juel1)FUEK407
|a DE-HGF
|b Erde und Umwelt
|k P24
|l Terrestrische Umwelt
|v Terrestrische Umwelt
|x 0
914 1 _ |y 2009
915 _ _ |0 StatID:(DE-HGF)0010
|a JCR/ISI refereed
920 1 _ |0 I:(DE-Juel1)ICG-3-20090406
|d 31.10.2010
|g ICG
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|l Phytosphäre
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981 _ _ |a I:(DE-Juel1)IBG-2-20101118
981 _ _ |a I:(DE-Juel1)ICG-3-20090406


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