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

Autores
Gonzáles Trilla, Gabriela; Pratolongo, Paula; Kandus, Patricia; Beget, Maria Emilia; Di Bella, Carlos Marcelo; Marcovecchio, Jorge
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Artículo publicado
Remote sensing tools allow the environmentalevaluation of coastal wetlands at a landscape scale; but adeeper understanding is needed of the interactions betweenbiophysical parameters and the electromagnetic signal. Thegoal of this work was to analyze and quantify the influenceof the aboveground biomass and the Leaf Area Index (LAI) onthe spectral response of Spartina densiflora marshes in MarChiquita coastal lagoon; Argentina. Spectral reflectance athigh resolution was measured in S. densiflora canopies undernatural conditions; manipulating standing crop by means ofsuccessive harvest. Reflectance data were acquired using aspectroradiometer in visible; near infrared (IR) and shortwaveIR bands. Spectral Vegetation Indices (VI) were calculated foreach standing crop-LAI situation. Several VI significantly correlatedwith standing crop and LAI; including indices 1) basedon the red-IR edge (IR Index (IRI); 695/760 ratio; Simple Ratio(SR); Red Edge Inflection Point (REIP); and different variationsof the Normalized Difference VI (NDVI Rouse; NDVI amber;NDVI NOAA; NDVI Landsat; NDVI Modis); 2) indices basedon the sharp change green-IR (green NDVI (GNDVI); 800/550ratio) and 3) indices with a correction for soil noise (OSAVI Optimized Soil Adjusted VI (OSAVI); and Modified SAVI(MSAVI). The indices with significant regressions with standingcrop and LAI were IRI; NDVIAmber and REIP. The total andgreen standing crop showed better adjustments than LAI; showingR2 values of 0.5. These values were obtained withREIP index. Results indicate that LAI and standing cropof S. densiflora stands could be determined from spectral databut estimations should be taken carefully in high biomassscenarios; because of indexes saturation at higher LAI values.
Fil: Gonzáles Trilla, Gabriela. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática. San Martín. Argentina
Fil: Pratolongo, Paula. Instituto Argentino de Oceanografía-CONICET. Bahía Blanca. Argentina
Fil: Kandus, Patricia. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática. San Martín. Argentina
Fil: Beget, Maria Emilia. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua. Castelar. Argentina
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua. Castelar. Argentina
Fil: Marcovecchio, Jorge. Instituto Argentino de Oceanografía-CONICET. Bahía Blanca. Argentina
Fuente
Wetlands, 2016 36(1): 185-194
https://dx.doi.org/10.1007/s13157-015-0715-6
Materia
SPECTRAL INDICES
REMOTE SENSING
LEAF AREA INDEX
SPARTINA DENSIFLORA
CIENCIAS DE LA TIERRA Y EL MEDIO AMBIENTE
CIENCIAS NATURALES Y EXACTAS
Nivel de accesibilidad
acceso restringido
Condiciones de uso
https://s100.copyright.com/AppDispatchServlet?title=Relationship%20Between%20Biophysical%20Parameters%20and%20Synthetic%20Indices%20Derived%20from%20Hyperspectral%20Field%20Data%20in%20a%20Salt%20Marsh%20from%20Buenos%20Aires%20Province%2C%20Argentina&author=G.%20Gonz%C3%A1lez%20Trilla%20et%20al&contentID=10.1007%2Fs13157-015-0715-6&publication=0277-5212&publicationDate=2015-12-17&publisherName=SpringerNature&orderBeanReset=true
Repositorio
Repositorio Institucional (UNSAM)
Institución
Universidad Nacional de General San Martín
OAI Identificador
oai:ri.unsam.edu.ar:123456789/978
Acceder
id RIUNSAM_990b9d73499e67584680e97e4a932cab
oai_identifier_str oai:ri.unsam.edu.ar:123456789/978
network_acronym_str RIUNSAM
repository_id_str s
network_name_str Repositorio Institucional (UNSAM)
spelling Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; ArgentinaGonzáles Trilla, GabrielaPratolongo, PaulaKandus, PatriciaBeget, Maria EmiliaDi Bella, Carlos MarceloMarcovecchio, JorgeSPECTRAL INDICESREMOTE SENSINGLEAF AREA INDEXSPARTINA DENSIFLORACIENCIAS DE LA TIERRA Y EL MEDIO AMBIENTECIENCIAS NATURALES Y EXACTASArtículo publicadoRemote sensing tools allow the environmentalevaluation of coastal wetlands at a landscape scale; but adeeper understanding is needed of the interactions betweenbiophysical parameters and the electromagnetic signal. Thegoal of this work was to analyze and quantify the influenceof the aboveground biomass and the Leaf Area Index (LAI) onthe spectral response of Spartina densiflora marshes in MarChiquita coastal lagoon; Argentina. Spectral reflectance athigh resolution was measured in S. densiflora canopies undernatural conditions; manipulating standing crop by means ofsuccessive harvest. Reflectance data were acquired using aspectroradiometer in visible; near infrared (IR) and shortwaveIR bands. Spectral Vegetation Indices (VI) were calculated foreach standing crop-LAI situation. Several VI significantly correlatedwith standing crop and LAI; including indices 1) basedon the red-IR edge (IR Index (IRI); 695/760 ratio; Simple Ratio(SR); Red Edge Inflection Point (REIP); and different variationsof the Normalized Difference VI (NDVI Rouse; NDVI amber;NDVI NOAA; NDVI Landsat; NDVI Modis); 2) indices basedon the sharp change green-IR (green NDVI (GNDVI); 800/550ratio) and 3) indices with a correction for soil noise (OSAVI Optimized Soil Adjusted VI (OSAVI); and Modified SAVI(MSAVI). The indices with significant regressions with standingcrop and LAI were IRI; NDVIAmber and REIP. The total andgreen standing crop showed better adjustments than LAI; showingR2 values of 0.5. These values were obtained withREIP index. Results indicate that LAI and standing cropof S. densiflora stands could be determined from spectral databut estimations should be taken carefully in high biomassscenarios; because of indexes saturation at higher LAI values.Fil: Gonzáles Trilla, Gabriela. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática. San Martín. ArgentinaFil: Pratolongo, Paula. Instituto Argentino de Oceanografía-CONICET. Bahía Blanca. ArgentinaFil: Kandus, Patricia. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática. San Martín. ArgentinaFil: Beget, Maria Emilia. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua. Castelar. ArgentinaFil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua. Castelar. ArgentinaFil: Marcovecchio, Jorge. Instituto Argentino de Oceanografía-CONICET. Bahía Blanca. ArgentinaSpringer Netherlands2015-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf185-194 p.application/pdfGonzáles Trilla, G.; Pratolongo, P.; Kandus, P.; Beget, M. E.; Di Bella, C. M. y Marcovecchio, J. Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina. Springer Netherlands. Wetlands, 2016 36(1): 185-1940277-5212Wetlands, 2016 36(1)_185-194https://ri.unsam.edu.ar/handle/123456789/978Wetlands, 2016 36(1): 185-194https://dx.doi.org/10.1007/s13157-015-0715-6reponame:Repositorio Institucional (UNSAM)instname:Universidad Nacional de General San Martínenginfo:eu-repo/semantics/restrictedAccesshttps://s100.copyright.com/AppDispatchServlet?title=Relationship%20Between%20Biophysical%20Parameters%20and%20Synthetic%20Indices%20Derived%20from%20Hyperspectral%20Field%20Data%20in%20a%20Salt%20Marsh%20from%20Buenos%20Aires%20Province%2C%20Argentina&author=G.%20Gonz%C3%A1lez%20Trilla%20et%20al&contentID=10.1007%2Fs13157-015-0715-6&publication=0277-5212&publicationDate=2015-12-17&publisherName=SpringerNature&orderBeanReset=trueCopyright © 2015, Springer Nature2025-09-04T11:15:44Zoai:ri.unsam.edu.ar:123456789/978instacron:UNSAMInstitucionalhttp://ri.unsam.edu.arUniversidad públicaNo correspondehttp://ri.unsam.edu.ar/oai/lpastran@unsam.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:s2025-09-04 11:16:39.523Repositorio Institucional (UNSAM) - Universidad Nacional de General San Martínfalse
dc.title.none.fl_str_mv Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
title Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
spellingShingle Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
Gonzáles Trilla, Gabriela
SPECTRAL INDICES
REMOTE SENSING
LEAF AREA INDEX
SPARTINA DENSIFLORA
CIENCIAS DE LA TIERRA Y EL MEDIO AMBIENTE
CIENCIAS NATURALES Y EXACTAS
title_short Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
title_full Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
title_fullStr Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
title_full_unstemmed Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
title_sort Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
dc.creator.none.fl_str_mv Gonzáles Trilla, Gabriela
Pratolongo, Paula
Kandus, Patricia
Beget, Maria Emilia
Di Bella, Carlos Marcelo
Marcovecchio, Jorge
author Gonzáles Trilla, Gabriela
author_facet Gonzáles Trilla, Gabriela
Pratolongo, Paula
Kandus, Patricia
Beget, Maria Emilia
Di Bella, Carlos Marcelo
Marcovecchio, Jorge
author_role author
author2 Pratolongo, Paula
Kandus, Patricia
Beget, Maria Emilia
Di Bella, Carlos Marcelo
Marcovecchio, Jorge
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv SPECTRAL INDICES
REMOTE SENSING
LEAF AREA INDEX
SPARTINA DENSIFLORA
CIENCIAS DE LA TIERRA Y EL MEDIO AMBIENTE
CIENCIAS NATURALES Y EXACTAS
topic SPECTRAL INDICES
REMOTE SENSING
LEAF AREA INDEX
SPARTINA DENSIFLORA
CIENCIAS DE LA TIERRA Y EL MEDIO AMBIENTE
CIENCIAS NATURALES Y EXACTAS
dc.description.none.fl_txt_mv Artículo publicado
Remote sensing tools allow the environmentalevaluation of coastal wetlands at a landscape scale; but adeeper understanding is needed of the interactions betweenbiophysical parameters and the electromagnetic signal. Thegoal of this work was to analyze and quantify the influenceof the aboveground biomass and the Leaf Area Index (LAI) onthe spectral response of Spartina densiflora marshes in MarChiquita coastal lagoon; Argentina. Spectral reflectance athigh resolution was measured in S. densiflora canopies undernatural conditions; manipulating standing crop by means ofsuccessive harvest. Reflectance data were acquired using aspectroradiometer in visible; near infrared (IR) and shortwaveIR bands. Spectral Vegetation Indices (VI) were calculated foreach standing crop-LAI situation. Several VI significantly correlatedwith standing crop and LAI; including indices 1) basedon the red-IR edge (IR Index (IRI); 695/760 ratio; Simple Ratio(SR); Red Edge Inflection Point (REIP); and different variationsof the Normalized Difference VI (NDVI Rouse; NDVI amber;NDVI NOAA; NDVI Landsat; NDVI Modis); 2) indices basedon the sharp change green-IR (green NDVI (GNDVI); 800/550ratio) and 3) indices with a correction for soil noise (OSAVI Optimized Soil Adjusted VI (OSAVI); and Modified SAVI(MSAVI). The indices with significant regressions with standingcrop and LAI were IRI; NDVIAmber and REIP. The total andgreen standing crop showed better adjustments than LAI; showingR2 values of 0.5. These values were obtained withREIP index. Results indicate that LAI and standing cropof S. densiflora stands could be determined from spectral databut estimations should be taken carefully in high biomassscenarios; because of indexes saturation at higher LAI values.
Fil: Gonzáles Trilla, Gabriela. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática. San Martín. Argentina
Fil: Pratolongo, Paula. Instituto Argentino de Oceanografía-CONICET. Bahía Blanca. Argentina
Fil: Kandus, Patricia. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática. San Martín. Argentina
Fil: Beget, Maria Emilia. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua. Castelar. Argentina
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua. Castelar. Argentina
Fil: Marcovecchio, Jorge. Instituto Argentino de Oceanografía-CONICET. Bahía Blanca. Argentina
description Artículo publicado
publishDate 2015
dc.date.none.fl_str_mv 2015-12
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
status_str publishedVersion
format article
dc.identifier.none.fl_str_mv Gonzáles Trilla, G.; Pratolongo, P.; Kandus, P.; Beget, M. E.; Di Bella, C. M. y Marcovecchio, J. Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina. Springer Netherlands. Wetlands, 2016 36(1): 185-194
0277-5212
Wetlands, 2016 36(1)_185-194
https://ri.unsam.edu.ar/handle/123456789/978
identifier_str_mv Gonzáles Trilla, G.; Pratolongo, P.; Kandus, P.; Beget, M. E.; Di Bella, C. M. y Marcovecchio, J. Relationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina. Springer Netherlands. Wetlands, 2016 36(1): 185-194
0277-5212
Wetlands, 2016 36(1)_185-194
url https://ri.unsam.edu.ar/handle/123456789/978
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
https://s100.copyright.com/AppDispatchServlet?title=Relationship%20Between%20Biophysical%20Parameters%20and%20Synthetic%20Indices%20Derived%20from%20Hyperspectral%20Field%20Data%20in%20a%20Salt%20Marsh%20from%20Buenos%20Aires%20Province%2C%20Argentina&author=G.%20Gonz%C3%A1lez%20Trilla%20et%20al&contentID=10.1007%2Fs13157-015-0715-6&publication=0277-5212&publicationDate=2015-12-17&publisherName=SpringerNature&orderBeanReset=true
Copyright © 2015, Springer Nature
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv https://s100.copyright.com/AppDispatchServlet?title=Relationship%20Between%20Biophysical%20Parameters%20and%20Synthetic%20Indices%20Derived%20from%20Hyperspectral%20Field%20Data%20in%20a%20Salt%20Marsh%20from%20Buenos%20Aires%20Province%2C%20Argentina&author=G.%20Gonz%C3%A1lez%20Trilla%20et%20al&contentID=10.1007%2Fs13157-015-0715-6&publication=0277-5212&publicationDate=2015-12-17&publisherName=SpringerNature&orderBeanReset=true
Copyright © 2015, Springer Nature
dc.format.none.fl_str_mv application/pdf
185-194 p.
application/pdf
dc.publisher.none.fl_str_mv Springer Netherlands
publisher.none.fl_str_mv Springer Netherlands
dc.source.none.fl_str_mv Wetlands, 2016 36(1): 185-194
https://dx.doi.org/10.1007/s13157-015-0715-6
reponame:Repositorio Institucional (UNSAM)
instname:Universidad Nacional de General San Martín
reponame_str Repositorio Institucional (UNSAM)
collection Repositorio Institucional (UNSAM)
instname_str Universidad Nacional de General San Martín
repository.name.fl_str_mv Repositorio Institucional (UNSAM) - Universidad Nacional de General San Martín
repository.mail.fl_str_mv lpastran@unsam.edu.ar
_version_ 1842344483438460928
score 12.623145

Publicaciones similares