Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation

Increasing attention is being given to chlorophyll fluorescence (F) for global monitoring of vegetation due to its relationship with physiology. New progress has been made in the methodological and technical aspects of signal retrieval with the recently published low-resolution global maps of fluorescence. Nevertheless, little progress has been made in the interpretation of the F signal when quantified in large pixels, an important issue due to the effects of structure, percentage cover, shadows, and background. High-resolution (40 cm) airborne hyperspectral imagery is used in this letter to assess the retrieval of fluorescence by the Fraunhofer line depth method from pure tree crowns and aggregated pixels. Due to canopy heterogeneity, the F signal extracted from aggregated pixels is highly degraded. A poor relationship is obtained between fluorescence extracted from pure tree crowns (Fcrown) and that quantified from pixels aggregating pure tree crowns, shadows, and background (Faggregated) (R2=0.25 (p<0.01). The relationship between F and stomatal conductance (used as a physiological indicator) decreases as a function of aggregation, yielding R2=0.69 (p<0.01) when calculated from pure tree crowns and R2=0.38 (p<0.05) from pixels containing crown, shadows, and soil. This letter demonstrates the need for methods to accurately retrieve a pure-vegetation fluorescence signal from aggregated pixels. The FluorMODleaf and FluorSAIL models were combined with the geometric forest light interaction model (FLIM) model and led to the 'FluorFLIM' model developed for this letter. Simulations conducted with FluorFLIM obtain predictive relationships between Fcrown and Faggregated pixels as a function of percentage cover, enabling the estimation of pure-crown F from aggregated pixels (R2=0.72, p<0.01). © 2004-2012 IEEE.

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Main Authors: Zarco-Tejada, Pablo J., Suárez Barranco, María Dolores, González-Dugo, Victoria
Format: artículo biblioteca
Language:English
Published: Institute of Electrical and Electronics Engineers 2013
Subjects:Unmanned aerial vehicle (UAV), Canopy modelling, Fluorescence, Heterogeneous, Fraunhofer line depth (FLD),
Online Access:http://hdl.handle.net/10261/92204
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spelling dig-ias-es-10261-922042016-10-10T10:21:11Z Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation Zarco-Tejada, Pablo J. Suárez Barranco, María Dolores González-Dugo, Victoria Unmanned aerial vehicle (UAV) Canopy modelling Fluorescence Heterogeneous Fraunhofer line depth (FLD) Increasing attention is being given to chlorophyll fluorescence (F) for global monitoring of vegetation due to its relationship with physiology. New progress has been made in the methodological and technical aspects of signal retrieval with the recently published low-resolution global maps of fluorescence. Nevertheless, little progress has been made in the interpretation of the F signal when quantified in large pixels, an important issue due to the effects of structure, percentage cover, shadows, and background. High-resolution (40 cm) airborne hyperspectral imagery is used in this letter to assess the retrieval of fluorescence by the Fraunhofer line depth method from pure tree crowns and aggregated pixels. Due to canopy heterogeneity, the F signal extracted from aggregated pixels is highly degraded. A poor relationship is obtained between fluorescence extracted from pure tree crowns (Fcrown) and that quantified from pixels aggregating pure tree crowns, shadows, and background (Faggregated) (R2=0.25 (p<0.01). The relationship between F and stomatal conductance (used as a physiological indicator) decreases as a function of aggregation, yielding R2=0.69 (p<0.01) when calculated from pure tree crowns and R2=0.38 (p<0.05) from pixels containing crown, shadows, and soil. This letter demonstrates the need for methods to accurately retrieve a pure-vegetation fluorescence signal from aggregated pixels. The FluorMODleaf and FluorSAIL models were combined with the geometric forest light interaction model (FLIM) model and led to the 'FluorFLIM' model developed for this letter. Simulations conducted with FluorFLIM obtain predictive relationships between Fcrown and Faggregated pixels as a function of percentage cover, enabling the estimation of pure-crown F from aggregated pixels (R2=0.72, p<0.01). © 2004-2012 IEEE. Peer Reviewed 2014-02-21T08:44:20Z 2014-02-21T08:44:20Z 2013 2014-02-21T08:44:20Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.1109/LGRS.2013.2252877 issn: 1545-598X IEEE Geoscience and Remote Sensing Letters 10(4): 937-941 (2013) http://hdl.handle.net/10261/92204 10.1109/LGRS.2013.2252877 en none Institute of Electrical and Electronics Engineers
institution IAS ES
collection DSpace
country España
countrycode ES
component Bibliográfico
access En linea
databasecode dig-ias-es
tag biblioteca
region Europa del Sur
libraryname Biblioteca del IAS España
language English
topic Unmanned aerial vehicle (UAV)
Canopy modelling
Fluorescence
Heterogeneous
Fraunhofer line depth (FLD)
Unmanned aerial vehicle (UAV)
Canopy modelling
Fluorescence
Heterogeneous
Fraunhofer line depth (FLD)
spellingShingle Unmanned aerial vehicle (UAV)
Canopy modelling
Fluorescence
Heterogeneous
Fraunhofer line depth (FLD)
Unmanned aerial vehicle (UAV)
Canopy modelling
Fluorescence
Heterogeneous
Fraunhofer line depth (FLD)
Zarco-Tejada, Pablo J.
Suárez Barranco, María Dolores
González-Dugo, Victoria
Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation
description Increasing attention is being given to chlorophyll fluorescence (F) for global monitoring of vegetation due to its relationship with physiology. New progress has been made in the methodological and technical aspects of signal retrieval with the recently published low-resolution global maps of fluorescence. Nevertheless, little progress has been made in the interpretation of the F signal when quantified in large pixels, an important issue due to the effects of structure, percentage cover, shadows, and background. High-resolution (40 cm) airborne hyperspectral imagery is used in this letter to assess the retrieval of fluorescence by the Fraunhofer line depth method from pure tree crowns and aggregated pixels. Due to canopy heterogeneity, the F signal extracted from aggregated pixels is highly degraded. A poor relationship is obtained between fluorescence extracted from pure tree crowns (Fcrown) and that quantified from pixels aggregating pure tree crowns, shadows, and background (Faggregated) (R2=0.25 (p<0.01). The relationship between F and stomatal conductance (used as a physiological indicator) decreases as a function of aggregation, yielding R2=0.69 (p<0.01) when calculated from pure tree crowns and R2=0.38 (p<0.05) from pixels containing crown, shadows, and soil. This letter demonstrates the need for methods to accurately retrieve a pure-vegetation fluorescence signal from aggregated pixels. The FluorMODleaf and FluorSAIL models were combined with the geometric forest light interaction model (FLIM) model and led to the 'FluorFLIM' model developed for this letter. Simulations conducted with FluorFLIM obtain predictive relationships between Fcrown and Faggregated pixels as a function of percentage cover, enabling the estimation of pure-crown F from aggregated pixels (R2=0.72, p<0.01). © 2004-2012 IEEE.
format artículo
topic_facet Unmanned aerial vehicle (UAV)
Canopy modelling
Fluorescence
Heterogeneous
Fraunhofer line depth (FLD)
author Zarco-Tejada, Pablo J.
Suárez Barranco, María Dolores
González-Dugo, Victoria
author_facet Zarco-Tejada, Pablo J.
Suárez Barranco, María Dolores
González-Dugo, Victoria
author_sort Zarco-Tejada, Pablo J.
title Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation
title_short Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation
title_full Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation
title_fullStr Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation
title_full_unstemmed Spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation
title_sort spatial resolution effects on chlorophyll fluorescence retrieval in a heterogeneous canopy using hyperspectral imagery and radiative transfer simulation
publisher Institute of Electrical and Electronics Engineers
publishDate 2013
url http://hdl.handle.net/10261/92204
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