Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina

Autores
Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Beget, M. E.; Kandus, P.; Marcovecchio, Jorge Eduardo; Di Bella, Carlos Marcelo
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Salt marshes occupying the tidal fringe of estuaries and protected coasts provide valuable ecosystem services, and remote sensing is a powerful tool for their large scale monitoring. However, in order to apply remote sensing techniques to evaluate the ecological state of salt marshes, a deeper understanding is needed on the interactions between field biophysical parameters and the electromagnetic signal. The main objective of this work is to analyze and quantify the influence of different biophysical parameters characterizing stands of Spartina alterniflora marshes in the Bahia Blanca estuary, Argentina on their spectral response. Spectral reflectance at high resolution was measured in S. alterniflora canopies under natural conditions, manipulating standing biomass by means of successive harvestings. Reflectance data were acquired using a FieldSpec® sprectroradiometer (Analytical Spectral Devices, Inc.) in visible, near-infrared and shortwave infrared bands. Spectral indices including the Normalized Difference Vegetation Index (NDVI), were calculated for each biomass situation, leaf area index (LAI), percentage canopy cover (PCC), water content and soil properties were measured. LAI, PCC and biomass were positively correlated between them. As a general trend, as biomass decreased, absorption in red wavelengths increased and reflectance in near infrared decreased. Several indices explained the variability in LAI, biomass and PCC. For example, NDVIRouse had a positive regression with PCC (R2 = 0.80, N = 75) and LAI (R2 = 0.67, N = 75). Results indicate that LAI, biomass and PCC of Spartina alterniflora could be accurately determined from spectral data. 
Fil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martin. Instituto de Investigación e Ingenieria Ambiental. Laboratorio de Ecologia, Teledeteccion y Ecoinformática; Argentina
Fil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina
Fil: Beget, M. E.. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Kandus, P.. Universidad Nacional de San Martin. Instituto de Investigación e Ingenieria Ambiental. Laboratorio de Ecologia, Teledeteccion y Ecoinformática; Argentina
Fil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Materia
Coastal Marshes
Spectral Indices
Remote Sensing
Biomass
Lai
Canopy
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/8995
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/8995
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, ArgentinaGonzalez Trilla, Gabriela LilianaPratolongo, Paula DanielaBeget, M. E.Kandus, P.Marcovecchio, Jorge EduardoDi Bella, Carlos MarceloCoastal MarshesSpectral IndicesRemote SensingBiomassLaiCanopyhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Salt marshes occupying the tidal fringe of estuaries and protected coasts provide valuable ecosystem services, and remote sensing is a powerful tool for their large scale monitoring. However, in order to apply remote sensing techniques to evaluate the ecological state of salt marshes, a deeper understanding is needed on the interactions between field biophysical parameters and the electromagnetic signal. The main objective of this work is to analyze and quantify the influence of different biophysical parameters characterizing stands of Spartina alterniflora marshes in the Bahia Blanca estuary, Argentina on their spectral response. Spectral reflectance at high resolution was measured in S. alterniflora canopies under natural conditions, manipulating standing biomass by means of successive harvestings. Reflectance data were acquired using a FieldSpec® sprectroradiometer (Analytical Spectral Devices, Inc.) in visible, near-infrared and shortwave infrared bands. Spectral indices including the Normalized Difference Vegetation Index (NDVI), were calculated for each biomass situation, leaf area index (LAI), percentage canopy cover (PCC), water content and soil properties were measured. LAI, PCC and biomass were positively correlated between them. As a general trend, as biomass decreased, absorption in red wavelengths increased and reflectance in near infrared decreased. Several indices explained the variability in LAI, biomass and PCC. For example, NDVIRouse had a positive regression with PCC (R2 = 0.80, N = 75) and LAI (R2 = 0.67, N = 75). Results indicate that LAI, biomass and PCC of Spartina alterniflora could be accurately determined from spectral data. Fil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martin. Instituto de Investigación e Ingenieria Ambiental. Laboratorio de Ecologia, Teledeteccion y Ecoinformática; ArgentinaFil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); ArgentinaFil: Beget, M. E.. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; ArgentinaFil: Kandus, P.. Universidad Nacional de San Martin. Instituto de Investigación e Ingenieria Ambiental. Laboratorio de Ecologia, Teledeteccion y Ecoinformática; ArgentinaFil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); ArgentinaFil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; ArgentinaCoastal Education & Research Foundation2013-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/8995Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Beget, M. E.; Kandus, P.; Marcovecchio, Jorge Eduardo; et al.; Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina; Coastal Education & Research Foundation; Journal Of Coastal Research; 29; 1; 1-2013; 231-2380749-0208enginfo:eu-repo/semantics/altIdentifier/url/http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-11-00214.1?code=cerf-siteinfo:eu-repo/semantics/altIdentifier/doi/10.2112/JCOASTRES-D-11-00214.1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:08:51Zoai:ri.conicet.gov.ar:11336/8995instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:08:51.713CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina
title Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina
spellingShingle Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina
Gonzalez Trilla, Gabriela Liliana
Coastal Marshes
Spectral Indices
Remote Sensing
Biomass
Lai
Canopy
title_short Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina
title_full Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina
title_fullStr Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina
title_full_unstemmed Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina
title_sort Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina
dc.creator.none.fl_str_mv Gonzalez Trilla, Gabriela Liliana
Pratolongo, Paula Daniela
Beget, M. E.
Kandus, P.
Marcovecchio, Jorge Eduardo
Di Bella, Carlos Marcelo
author Gonzalez Trilla, Gabriela Liliana
author_facet Gonzalez Trilla, Gabriela Liliana
Pratolongo, Paula Daniela
Beget, M. E.
Kandus, P.
Marcovecchio, Jorge Eduardo
Di Bella, Carlos Marcelo
author_role author
author2 Pratolongo, Paula Daniela
Beget, M. E.
Kandus, P.
Marcovecchio, Jorge Eduardo
Di Bella, Carlos Marcelo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Coastal Marshes
Spectral Indices
Remote Sensing
Biomass
Lai
Canopy
topic Coastal Marshes
Spectral Indices
Remote Sensing
Biomass
Lai
Canopy
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Salt marshes occupying the tidal fringe of estuaries and protected coasts provide valuable ecosystem services, and remote sensing is a powerful tool for their large scale monitoring. However, in order to apply remote sensing techniques to evaluate the ecological state of salt marshes, a deeper understanding is needed on the interactions between field biophysical parameters and the electromagnetic signal. The main objective of this work is to analyze and quantify the influence of different biophysical parameters characterizing stands of Spartina alterniflora marshes in the Bahia Blanca estuary, Argentina on their spectral response. Spectral reflectance at high resolution was measured in S. alterniflora canopies under natural conditions, manipulating standing biomass by means of successive harvestings. Reflectance data were acquired using a FieldSpec® sprectroradiometer (Analytical Spectral Devices, Inc.) in visible, near-infrared and shortwave infrared bands. Spectral indices including the Normalized Difference Vegetation Index (NDVI), were calculated for each biomass situation, leaf area index (LAI), percentage canopy cover (PCC), water content and soil properties were measured. LAI, PCC and biomass were positively correlated between them. As a general trend, as biomass decreased, absorption in red wavelengths increased and reflectance in near infrared decreased. Several indices explained the variability in LAI, biomass and PCC. For example, NDVIRouse had a positive regression with PCC (R2 = 0.80, N = 75) and LAI (R2 = 0.67, N = 75). Results indicate that LAI, biomass and PCC of Spartina alterniflora could be accurately determined from spectral data. 
Fil: Gonzalez Trilla, Gabriela Liliana. Universidad Nacional de San Martin. Instituto de Investigación e Ingenieria Ambiental. Laboratorio de Ecologia, Teledeteccion y Ecoinformática; Argentina
Fil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina
Fil: Beget, M. E.. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Kandus, P.. Universidad Nacional de San Martin. Instituto de Investigación e Ingenieria Ambiental. Laboratorio de Ecologia, Teledeteccion y Ecoinformática; Argentina
Fil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Instituto Argentino de Oceanografía (i); Argentina
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro Nacional de Investigaciones Agropecuarias. Centro de Investigaciones de Recursos Naturales. Instituto de Clima y Agua; Argentina
description Salt marshes occupying the tidal fringe of estuaries and protected coasts provide valuable ecosystem services, and remote sensing is a powerful tool for their large scale monitoring. However, in order to apply remote sensing techniques to evaluate the ecological state of salt marshes, a deeper understanding is needed on the interactions between field biophysical parameters and the electromagnetic signal. The main objective of this work is to analyze and quantify the influence of different biophysical parameters characterizing stands of Spartina alterniflora marshes in the Bahia Blanca estuary, Argentina on their spectral response. Spectral reflectance at high resolution was measured in S. alterniflora canopies under natural conditions, manipulating standing biomass by means of successive harvestings. Reflectance data were acquired using a FieldSpec® sprectroradiometer (Analytical Spectral Devices, Inc.) in visible, near-infrared and shortwave infrared bands. Spectral indices including the Normalized Difference Vegetation Index (NDVI), were calculated for each biomass situation, leaf area index (LAI), percentage canopy cover (PCC), water content and soil properties were measured. LAI, PCC and biomass were positively correlated between them. As a general trend, as biomass decreased, absorption in red wavelengths increased and reflectance in near infrared decreased. Several indices explained the variability in LAI, biomass and PCC. For example, NDVIRouse had a positive regression with PCC (R2 = 0.80, N = 75) and LAI (R2 = 0.67, N = 75). Results indicate that LAI, biomass and PCC of Spartina alterniflora could be accurately determined from spectral data. 
publishDate 2013
dc.date.none.fl_str_mv 2013-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/8995
Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Beget, M. E.; Kandus, P.; Marcovecchio, Jorge Eduardo; et al.; Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina; Coastal Education & Research Foundation; Journal Of Coastal Research; 29; 1; 1-2013; 231-238
0749-0208
url http://hdl.handle.net/11336/8995
identifier_str_mv Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Beget, M. E.; Kandus, P.; Marcovecchio, Jorge Eduardo; et al.; Relating Biophysical Parameters of Coastal Marshes to Hyperspectral Reflectance Data in the Bahia Blanca Estuary, Argentina; Coastal Education & Research Foundation; Journal Of Coastal Research; 29; 1; 1-2013; 231-238
0749-0208
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.jcronline.org/doi/abs/10.2112/JCOASTRES-D-11-00214.1?code=cerf-site
info:eu-repo/semantics/altIdentifier/doi/10.2112/JCOASTRES-D-11-00214.1
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Coastal Education & Research Foundation
publisher.none.fl_str_mv Coastal Education & Research Foundation
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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