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dc.contributor.author
Romero, Juan Manuel  
dc.contributor.author
Cordon, Gabriela Beatriz  
dc.contributor.author
Lagorio, María Gabriela  
dc.date.available
2022-09-13T18:15:23Z  
dc.date.issued
2020-09  
dc.identifier.citation
Romero, Juan Manuel; Cordon, Gabriela Beatriz; Lagorio, María Gabriela; Re-absorption and scattering of chlorophyll fluorescence in canopies: A revised approach; Elsevier Science Inc.; Remote Sensing of Environment; 246; 111860; 9-2020; 1-12  
dc.identifier.issn
0034-4257  
dc.identifier.uri
http://hdl.handle.net/11336/168590  
dc.description.abstract
The measurement of chlorophyll fluorescence in remote way represents a tool that is becoming increasingly important in relation to the diagnosis of plant health and carbon budget on the planet. However, the detection of this emission is severely affected by distortions, due to processes of light re-absorption both in the leaf and in the canopy. Even though some advances have been made to correct the signal in the far-red, the whole spectral range needs to be addressed, in order to accurately assess plant physiological state. In 2018, we introduced a model to obtain fluorescence spectra at leaf level, from what was observed at canopy level. In this present work, we publish a revision of that physical model, with a more rigorous and exact mathematical treatment. In addition, multiple scattering between the soil and the canopy, and the fraction of land covered by vegetation have also been taken into consideration. We validate this model upon experimental measures, in three types of crops of agronomic interest (Pea, Rye grass and Maize) with different architecture. Our model accurately predicts both the shape of fluorescence spectra at leaf level from that measured at canopy level and the fluorescence ratio. Furthermore, not only do we eliminate artifacts affecting the spectral shape, but we are also able to calculate the quantum yield of fluorescence corrected for re-absorption, from the experimental quantum yield at canopy level. This represents an advance in the study of these systems because it offers the opportunity to make corrections for both the fluorescence ratio and the intensity of the observed fluorescence.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Elsevier Science Inc.  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
PLANT FLUORESCENCE  
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MODELING  
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FLUORESCENCE QUANTUM YIELD  
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CANOPY-LEVEL FLUORESCENCE  
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LIGHT RE-ABSORPTION  
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REMOTE SENSING  
dc.subject.classification
Otras Ciencias Naturales y Exactas  
dc.subject.classification
Otras Ciencias Naturales y Exactas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Re-absorption and scattering of chlorophyll fluorescence in canopies: A revised approach  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-09-07T15:13:22Z  
dc.journal.volume
246  
dc.journal.number
111860  
dc.journal.pagination
1-12  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Romero, Juan Manuel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina  
dc.description.fil
Fil: Cordon, Gabriela Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina  
dc.description.fil
Fil: Lagorio, María Gabriela. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Química, Física de los Materiales, Medioambiente y Energía. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Química, Física de los Materiales, Medioambiente y Energía; Argentina  
dc.journal.title
Remote Sensing of Environment  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0034425720302303  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.rse.2020.111860