Independent component analysis of MODIS-NDVI data in a large South American wetland

Autores
Antico, Andres
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Monthly images of Normalized Difference Vegetation Index (NDVI) from the moderate resolution imaging spectroradiometer (MODIS) are used to characterize the spatio-temporal variability of vegetation in a large South American wetland (SAW) (located in the Paraná River floodplain) during the period 2000-2009. While these data do not meet the requirements of classical component extraction techniques (CETs) (e.g. principal component analysis (PCA)), they are suitable for the modern method named independent component analysis (ICA). Hence, ICA is used here to extract three statistically independent modes of inter-annual MODIS-NDVI variability that are successfully interpreted as vegetation responses to hydrological changes. One mode isolates the vegetation response to a severe drought associated with La Niña 2007-2008. Another component reflects the expansion (or contraction) of lagoons owing to high (or low) water level of the Paraná River. The remaining mode captures the vegetation decrease caused by the flood related to El Niño 2006-2007. The results presented here for a particular wetland suggest that ICA of NDVI images is a powerful tool for identifying the physical causes of vegetation changes in other large wetlands. © 2011 Taylor & Francis.
Fil: Antico, Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Autónoma de Entre Rí­os. Facultad de Ciencia y Tecnología. Centro Regional de Geomática; Argentina
Materia
Modis
Ndvi
Ica
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:11336/66261
Acceder
id CONICETDig_21aa99f8b7f3d033666da293a02c3b8a
oai_identifier_str oai:ri.conicet.gov.ar:11336/66261
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Independent component analysis of MODIS-NDVI data in a large South American wetlandAntico, AndresModisNdviIcahttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Monthly images of Normalized Difference Vegetation Index (NDVI) from the moderate resolution imaging spectroradiometer (MODIS) are used to characterize the spatio-temporal variability of vegetation in a large South American wetland (SAW) (located in the Paraná River floodplain) during the period 2000-2009. While these data do not meet the requirements of classical component extraction techniques (CETs) (e.g. principal component analysis (PCA)), they are suitable for the modern method named independent component analysis (ICA). Hence, ICA is used here to extract three statistically independent modes of inter-annual MODIS-NDVI variability that are successfully interpreted as vegetation responses to hydrological changes. One mode isolates the vegetation response to a severe drought associated with La Niña 2007-2008. Another component reflects the expansion (or contraction) of lagoons owing to high (or low) water level of the Paraná River. The remaining mode captures the vegetation decrease caused by the flood related to El Niño 2006-2007. The results presented here for a particular wetland suggest that ICA of NDVI images is a powerful tool for identifying the physical causes of vegetation changes in other large wetlands. © 2011 Taylor & Francis.Fil: Antico, Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Autónoma de Entre Rí­os. Facultad de Ciencia y Tecnología. Centro Regional de Geomática; ArgentinaTaylor & Francis2012-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/66261Antico, Andres; Independent component analysis of MODIS-NDVI data in a large South American wetland; Taylor & Francis; Remote Sensing Letters; 3; 5; 9-2012; 383-3922150-7058CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/abs/10.1080/01431161.2011.603376?journalCode=trsl20info:eu-repo/semantics/altIdentifier/doi/10.1080/01431161.2011.603376info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:23:02Zoai:ri.conicet.gov.ar:11336/66261instacron: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:34982025-09-10 13:23:03.122CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Independent component analysis of MODIS-NDVI data in a large South American wetland
title Independent component analysis of MODIS-NDVI data in a large South American wetland
spellingShingle Independent component analysis of MODIS-NDVI data in a large South American wetland
Antico, Andres
Modis
Ndvi
Ica
title_short Independent component analysis of MODIS-NDVI data in a large South American wetland
title_full Independent component analysis of MODIS-NDVI data in a large South American wetland
title_fullStr Independent component analysis of MODIS-NDVI data in a large South American wetland
title_full_unstemmed Independent component analysis of MODIS-NDVI data in a large South American wetland
title_sort Independent component analysis of MODIS-NDVI data in a large South American wetland
dc.creator.none.fl_str_mv Antico, Andres
author Antico, Andres
author_facet Antico, Andres
author_role author
dc.subject.none.fl_str_mv Modis
Ndvi
Ica
topic Modis
Ndvi
Ica
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Monthly images of Normalized Difference Vegetation Index (NDVI) from the moderate resolution imaging spectroradiometer (MODIS) are used to characterize the spatio-temporal variability of vegetation in a large South American wetland (SAW) (located in the Paraná River floodplain) during the period 2000-2009. While these data do not meet the requirements of classical component extraction techniques (CETs) (e.g. principal component analysis (PCA)), they are suitable for the modern method named independent component analysis (ICA). Hence, ICA is used here to extract three statistically independent modes of inter-annual MODIS-NDVI variability that are successfully interpreted as vegetation responses to hydrological changes. One mode isolates the vegetation response to a severe drought associated with La Niña 2007-2008. Another component reflects the expansion (or contraction) of lagoons owing to high (or low) water level of the Paraná River. The remaining mode captures the vegetation decrease caused by the flood related to El Niño 2006-2007. The results presented here for a particular wetland suggest that ICA of NDVI images is a powerful tool for identifying the physical causes of vegetation changes in other large wetlands. © 2011 Taylor & Francis.
Fil: Antico, Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe; Argentina. Universidad Autónoma de Entre Rí­os. Facultad de Ciencia y Tecnología. Centro Regional de Geomática; Argentina
description Monthly images of Normalized Difference Vegetation Index (NDVI) from the moderate resolution imaging spectroradiometer (MODIS) are used to characterize the spatio-temporal variability of vegetation in a large South American wetland (SAW) (located in the Paraná River floodplain) during the period 2000-2009. While these data do not meet the requirements of classical component extraction techniques (CETs) (e.g. principal component analysis (PCA)), they are suitable for the modern method named independent component analysis (ICA). Hence, ICA is used here to extract three statistically independent modes of inter-annual MODIS-NDVI variability that are successfully interpreted as vegetation responses to hydrological changes. One mode isolates the vegetation response to a severe drought associated with La Niña 2007-2008. Another component reflects the expansion (or contraction) of lagoons owing to high (or low) water level of the Paraná River. The remaining mode captures the vegetation decrease caused by the flood related to El Niño 2006-2007. The results presented here for a particular wetland suggest that ICA of NDVI images is a powerful tool for identifying the physical causes of vegetation changes in other large wetlands. © 2011 Taylor & Francis.
publishDate 2012
dc.date.none.fl_str_mv 2012-09
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/11336/66261
Antico, Andres; Independent component analysis of MODIS-NDVI data in a large South American wetland; Taylor & Francis; Remote Sensing Letters; 3; 5; 9-2012; 383-392
2150-7058
CONICET Digital
CONICET
url http://hdl.handle.net/11336/66261
identifier_str_mv Antico, Andres; Independent component analysis of MODIS-NDVI data in a large South American wetland; Taylor & Francis; Remote Sensing Letters; 3; 5; 9-2012; 383-392
2150-7058
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/abs/10.1080/01431161.2011.603376?journalCode=trsl20
info:eu-repo/semantics/altIdentifier/doi/10.1080/01431161.2011.603376
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 Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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
_version_ 1842981270579052544
score 12.48226

Publicaciones similares