Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina

Autores
Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Kandus, Patricia; Beget, María Eugenia; Di Bella, Carlos Marcelo; Marcovecchio, Jorge Eduardo
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
ABSTRACT. Coastal wetlands provide essential ecosystem services widely recognized, wich functions and values depend on their ecological integrity. Remote sensing provide environmental indicators of coastal wetlands at landscape scale, but a a deeper understanding is needed on the interactions between field biophysical parameters and the electromagnetic signal. The goal of this work is to analyze and quantify the influence on the spectral response of biophysical parameters -including biomass and leaf area index (LAI)- characterizing stands of Spartina densiflora marshes in Mar Chiquita coastal lagoon, Argentina on their spectral response. Spectral reflectance at high resolution was measured in S. densiflora canopies under natural conditions, manipulating standing biomass by means of successive harvestings. Reflectance data were acquired using a sprectroradiometer in visible, near infrared (IR) and shortwave IR bands. Spectral Vegetation Indices (VI) were calculated for each biomass-LAI situation. Several VI significantly correlated with biomass and LAI, including those 1) based on the red-IR edge (IRI: IR Index, 695/760 ratio, SR: Simple Ratio, NDVI: Normalized Difference VI), 2) based on the sharp change green -IR (GNDVI: green NDVI, 800/550 ratio) and 3) those with a correction for soil noise (OSAVI: Optimized Soil Adjusted VI, MSAVI: Modified SAVI). The indices that showed significant regressions with biomass and LAI were IRI, NDVIAmbar and REIP. The total and green biomass showed better adjustments than LAI, showing R2 values of 0.5. These values were obtained with REIP index. Results indicate that LAI and biomass of Spartina densiflora stands could be determined from spectral data but attention would be payed if large LAI values are found due to the logaritmic adjustments obtained.
Fil: Gonzalez Trilla, Gabriela Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Materia
Hyperspectral Data
Coastal Wetlands
Marshes
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:11336/41502
Acceder
id CONICETDig_b99670563d7f3a5d1c0b5c6525be6481
oai_identifier_str oai:ri.conicet.gov.ar:11336/41502
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, ArgentinaGonzalez Trilla, Gabriela LilianaPratolongo, Paula DanielaKandus, PatriciaBeget, María EugeniaDi Bella, Carlos MarceloMarcovecchio, Jorge EduardoHyperspectral DataCoastal WetlandsMarsheshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1ABSTRACT. Coastal wetlands provide essential ecosystem services widely recognized, wich functions and values depend on their ecological integrity. Remote sensing provide environmental indicators of coastal wetlands at landscape scale, but a a deeper understanding is needed on the interactions between field biophysical parameters and the electromagnetic signal. The goal of this work is to analyze and quantify the influence on the spectral response of biophysical parameters -including biomass and leaf area index (LAI)- characterizing stands of Spartina densiflora marshes in Mar Chiquita coastal lagoon, Argentina on their spectral response. Spectral reflectance at high resolution was measured in S. densiflora canopies under natural conditions, manipulating standing biomass by means of successive harvestings. Reflectance data were acquired using a sprectroradiometer in visible, near infrared (IR) and shortwave IR bands. Spectral Vegetation Indices (VI) were calculated for each biomass-LAI situation. Several VI significantly correlated with biomass and LAI, including those 1) based on the red-IR edge (IRI: IR Index, 695/760 ratio, SR: Simple Ratio, NDVI: Normalized Difference VI), 2) based on the sharp change green -IR (GNDVI: green NDVI, 800/550 ratio) and 3) those with a correction for soil noise (OSAVI: Optimized Soil Adjusted VI, MSAVI: Modified SAVI). The indices that showed significant regressions with biomass and LAI were IRI, NDVIAmbar and REIP. The total and green biomass showed better adjustments than LAI, showing R2 values of 0.5. These values were obtained with REIP index. Results indicate that LAI and biomass of Spartina densiflora stands could be determined from spectral data but attention would be payed if large LAI values are found due to the logaritmic adjustments obtained.Fil: Gonzalez Trilla, Gabriela Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; ArgentinaFil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaFil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; ArgentinaFil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; ArgentinaFil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; ArgentinaFil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaSpringer2015-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/41502Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Kandus, Patricia; Beget, María Eugenia; Di Bella, Carlos Marcelo; et al.; Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina; Springer; Wetlands; 36; 1; 6-2015; 185-1940277-5212CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s13157-015-0715-6info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs13157-015-0715-6info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:09:31Zoai:ri.conicet.gov.ar:11336/41502instacron: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 10:09:31.427CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
title Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
spellingShingle Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
Gonzalez Trilla, Gabriela Liliana
Hyperspectral Data
Coastal Wetlands
Marshes
title_short Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
title_full Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
title_fullStr Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
title_full_unstemmed Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
title_sort Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina
dc.creator.none.fl_str_mv Gonzalez Trilla, Gabriela Liliana
Pratolongo, Paula Daniela
Kandus, Patricia
Beget, María Eugenia
Di Bella, Carlos Marcelo
Marcovecchio, Jorge Eduardo
author Gonzalez Trilla, Gabriela Liliana
author_facet Gonzalez Trilla, Gabriela Liliana
Pratolongo, Paula Daniela
Kandus, Patricia
Beget, María Eugenia
Di Bella, Carlos Marcelo
Marcovecchio, Jorge Eduardo
author_role author
author2 Pratolongo, Paula Daniela
Kandus, Patricia
Beget, María Eugenia
Di Bella, Carlos Marcelo
Marcovecchio, Jorge Eduardo
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Hyperspectral Data
Coastal Wetlands
Marshes
topic Hyperspectral Data
Coastal Wetlands
Marshes
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv ABSTRACT. Coastal wetlands provide essential ecosystem services widely recognized, wich functions and values depend on their ecological integrity. Remote sensing provide environmental indicators of coastal wetlands at landscape scale, but a a deeper understanding is needed on the interactions between field biophysical parameters and the electromagnetic signal. The goal of this work is to analyze and quantify the influence on the spectral response of biophysical parameters -including biomass and leaf area index (LAI)- characterizing stands of Spartina densiflora marshes in Mar Chiquita coastal lagoon, Argentina on their spectral response. Spectral reflectance at high resolution was measured in S. densiflora canopies under natural conditions, manipulating standing biomass by means of successive harvestings. Reflectance data were acquired using a sprectroradiometer in visible, near infrared (IR) and shortwave IR bands. Spectral Vegetation Indices (VI) were calculated for each biomass-LAI situation. Several VI significantly correlated with biomass and LAI, including those 1) based on the red-IR edge (IRI: IR Index, 695/760 ratio, SR: Simple Ratio, NDVI: Normalized Difference VI), 2) based on the sharp change green -IR (GNDVI: green NDVI, 800/550 ratio) and 3) those with a correction for soil noise (OSAVI: Optimized Soil Adjusted VI, MSAVI: Modified SAVI). The indices that showed significant regressions with biomass and LAI were IRI, NDVIAmbar and REIP. The total and green biomass showed better adjustments than LAI, showing R2 values of 0.5. These values were obtained with REIP index. Results indicate that LAI and biomass of Spartina densiflora stands could be determined from spectral data but attention would be payed if large LAI values are found due to the logaritmic adjustments obtained.
Fil: Gonzalez Trilla, Gabriela Liliana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Pratolongo, Paula Daniela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Kandus, Patricia. Universidad Nacional de San Martín. Instituto de Investigación e Ingeniería Ambiental. Laboratorio de Ecología, Teledetección y Ecoinformática; Argentina
Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina
Fil: Marcovecchio, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
description ABSTRACT. Coastal wetlands provide essential ecosystem services widely recognized, wich functions and values depend on their ecological integrity. Remote sensing provide environmental indicators of coastal wetlands at landscape scale, but a a deeper understanding is needed on the interactions between field biophysical parameters and the electromagnetic signal. The goal of this work is to analyze and quantify the influence on the spectral response of biophysical parameters -including biomass and leaf area index (LAI)- characterizing stands of Spartina densiflora marshes in Mar Chiquita coastal lagoon, Argentina on their spectral response. Spectral reflectance at high resolution was measured in S. densiflora canopies under natural conditions, manipulating standing biomass by means of successive harvestings. Reflectance data were acquired using a sprectroradiometer in visible, near infrared (IR) and shortwave IR bands. Spectral Vegetation Indices (VI) were calculated for each biomass-LAI situation. Several VI significantly correlated with biomass and LAI, including those 1) based on the red-IR edge (IRI: IR Index, 695/760 ratio, SR: Simple Ratio, NDVI: Normalized Difference VI), 2) based on the sharp change green -IR (GNDVI: green NDVI, 800/550 ratio) and 3) those with a correction for soil noise (OSAVI: Optimized Soil Adjusted VI, MSAVI: Modified SAVI). The indices that showed significant regressions with biomass and LAI were IRI, NDVIAmbar and REIP. The total and green biomass showed better adjustments than LAI, showing R2 values of 0.5. These values were obtained with REIP index. Results indicate that LAI and biomass of Spartina densiflora stands could be determined from spectral data but attention would be payed if large LAI values are found due to the logaritmic adjustments obtained.
publishDate 2015
dc.date.none.fl_str_mv 2015-06
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/11336/41502
Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Kandus, Patricia; Beget, María Eugenia; Di Bella, Carlos Marcelo; et al.; Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina; Springer; Wetlands; 36; 1; 6-2015; 185-194
0277-5212
CONICET Digital
CONICET
url http://hdl.handle.net/11336/41502
identifier_str_mv Gonzalez Trilla, Gabriela Liliana; Pratolongo, Paula Daniela; Kandus, Patricia; Beget, María Eugenia; Di Bella, Carlos Marcelo; et al.; Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a coastal marsh from Buenos Aires Province, Argentina; Springer; Wetlands; 36; 1; 6-2015; 185-194
0277-5212
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s13157-015-0715-6
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs13157-015-0715-6
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
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
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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