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Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications

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Title: Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications
Authors: Meroni, M.1 michele.meroni@unimib.it, Rossini, M.1, Guanter, L.2, Alonso, L.3, Rascher, U.4, Colombo, R.1, Moreno, J.3
Source: Remote Sensing of Environment. Oct2009, Vol. 113 Issue 10, p2037-2051. 15p.
Subjects: Remote sensing, Chlorophyll, Fluorimetry, Photosynthesis, Technological innovations, Scientific method, Scientific apparatus & instruments, Estimation theory, Reflectance
Abstract: 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. [Copyright &y& Elsevier]
Copyright of Remote Sensing of Environment is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 43616736
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications
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  Data: <searchLink fieldCode="AR" term="%22Meroni%2C+M%2E%22">Meroni, M.</searchLink><relatesTo>1</relatesTo><i> michele.meroni@unimib.it</i><br /><searchLink fieldCode="AR" term="%22Rossini%2C+M%2E%22">Rossini, M.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Guanter%2C+L%2E%22">Guanter, L.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Alonso%2C+L%2E%22">Alonso, L.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Rascher%2C+U%2E%22">Rascher, U.</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Colombo%2C+R%2E%22">Colombo, R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Moreno%2C+J%2E%22">Moreno, J.</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Remote+Sensing+of+Environment%22">Remote Sensing of Environment</searchLink>. Oct2009, Vol. 113 Issue 10, p2037-2051. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Chlorophyll%22">Chlorophyll</searchLink><br /><searchLink fieldCode="DE" term="%22Fluorimetry%22">Fluorimetry</searchLink><br /><searchLink fieldCode="DE" term="%22Photosynthesis%22">Photosynthesis</searchLink><br /><searchLink fieldCode="DE" term="%22Technological+innovations%22">Technological innovations</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+method%22">Scientific method</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+apparatus+%26+instruments%22">Scientific apparatus & instruments</searchLink><br /><searchLink fieldCode="DE" term="%22Estimation+theory%22">Estimation theory</searchLink><br /><searchLink fieldCode="DE" term="%22Reflectance%22">Reflectance</searchLink>
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  Data: 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. [Copyright &y& Elsevier]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Remote Sensing of Environment is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.rse.2009.05.003
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2037
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        Type: general
      – SubjectFull: Chlorophyll
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      – SubjectFull: Fluorimetry
        Type: general
      – SubjectFull: Photosynthesis
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      – SubjectFull: Technological innovations
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      – SubjectFull: Scientific method
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      – SubjectFull: Scientific apparatus & instruments
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      – SubjectFull: Estimation theory
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      – SubjectFull: Reflectance
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      – TitleFull: Remote sensing of solar-induced chlorophyll fluorescence: Review of methods and applications
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              Text: Oct2009
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