SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems

Autores
Raymaekers, D.; Garcia, A.; Di Bella, Carlos Marcelo; Beget, María Eugenia; Llavallol, C.; Oricchio, P.; Straschnoy, J.; Weiss, M.; Baret, F.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The VEGETATION system, which has been delivering global observations of the surface on a daily basis since 1998, provides key information for regional to global climate, environmental and natural resource management applications. Just recently, VEGETATION-derived GEOV1 biophysical products (LAI, FAPAR, and FCOVER) became available for the scientific community and were evaluated in this study for semi-arid forests in the Dry Chaco ecoregion, Argentina. Indirect validation with the MODIS-derived biophysical products (MOD15A2) shows a very good temporal consistency between both products for the period 2000-2011, with a remarkably smooth behaviour of the GEOV1 products. A good relationship between both products was found in the regression analysis with an R2 of 0.826 and 0.724 for LAI and FAPAR, respectively. Using direct validation with digital hemispherical photography (DHP) and ceptometer ground measurements, a relatively small RMSE (RMSELAI ≈ 0.31 and RMSEFAPAR ≈ 0.11) was found. The novel PASTIS-57 technique, which can derive continuous plant area index (PAI) estimates from light transmittance measurements, shows a similar temporal profile to the GEOV1 LAI product with a relatively high but constant offset for the dry forest study sites and a nearly identical profile for the deforested site (R2 = 0.86). Overall, PASTIS-57, in combination with satellite-based observations, shows potentials in LAI/PAI research and ecosystem carbon studies in general, but more ground measurements taken over multiple growing seasons and vegetation types are required to confirm these findings.
Fil: Raymaekers, D.. Institut National de la Recherche Agronomique; Francia. Vlaamse Instelling Voor Technologisch Onderzoek; Bélgica
Fil: Garcia, A.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Llavallol, C.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Oricchio, P.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Straschnoy, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Weiss, M.. Institut National de la Recherche Agronomique; Francia
Fil: Baret, F.. Institut National de la Recherche Agronomique; Francia
Materia
remotes sensing
lai
ndvi
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:11336/98793
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/98793
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystemsRaymaekers, D.Garcia, A.Di Bella, Carlos MarceloBeget, María EugeniaLlavallol, C.Oricchio, P.Straschnoy, J.Weiss, M.Baret, F.remotes sensinglaindvihttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4The VEGETATION system, which has been delivering global observations of the surface on a daily basis since 1998, provides key information for regional to global climate, environmental and natural resource management applications. Just recently, VEGETATION-derived GEOV1 biophysical products (LAI, FAPAR, and FCOVER) became available for the scientific community and were evaluated in this study for semi-arid forests in the Dry Chaco ecoregion, Argentina. Indirect validation with the MODIS-derived biophysical products (MOD15A2) shows a very good temporal consistency between both products for the period 2000-2011, with a remarkably smooth behaviour of the GEOV1 products. A good relationship between both products was found in the regression analysis with an R2 of 0.826 and 0.724 for LAI and FAPAR, respectively. Using direct validation with digital hemispherical photography (DHP) and ceptometer ground measurements, a relatively small RMSE (RMSELAI ≈ 0.31 and RMSEFAPAR ≈ 0.11) was found. The novel PASTIS-57 technique, which can derive continuous plant area index (PAI) estimates from light transmittance measurements, shows a similar temporal profile to the GEOV1 LAI product with a relatively high but constant offset for the dry forest study sites and a nearly identical profile for the deforested site (R2 = 0.86). Overall, PASTIS-57, in combination with satellite-based observations, shows potentials in LAI/PAI research and ecosystem carbon studies in general, but more ground measurements taken over multiple growing seasons and vegetation types are required to confirm these findings.Fil: Raymaekers, D.. Institut National de la Recherche Agronomique; Francia. Vlaamse Instelling Voor Technologisch Onderzoek; BélgicaFil: Garcia, A.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Llavallol, C.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Oricchio, P.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Straschnoy, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Weiss, M.. Institut National de la Recherche Agronomique; FranciaFil: Baret, F.. Institut National de la Recherche Agronomique; FranciaTaylor & Francis2014-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/98793Raymaekers, D.; Garcia, A.; Di Bella, Carlos Marcelo; Beget, María Eugenia; Llavallol, C.; et al.; SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems; Taylor & Francis; International Journal of Remote Sensing; 35; 7; 7-2014; 2534-25470143-1161CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1080/01431161.2014.883096info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/01431161.2014.883096info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:47:43Zoai:ri.conicet.gov.ar:11336/98793instacron: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:34982025-10-15 14:47:43.569CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
title SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
spellingShingle SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
Raymaekers, D.
remotes sensing
lai
ndvi
title_short SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
title_full SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
title_fullStr SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
title_full_unstemmed SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
title_sort SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
dc.creator.none.fl_str_mv Raymaekers, D.
Garcia, A.
Di Bella, Carlos Marcelo
Beget, María Eugenia
Llavallol, C.
Oricchio, P.
Straschnoy, J.
Weiss, M.
Baret, F.
author Raymaekers, D.
author_facet Raymaekers, D.
Garcia, A.
Di Bella, Carlos Marcelo
Beget, María Eugenia
Llavallol, C.
Oricchio, P.
Straschnoy, J.
Weiss, M.
Baret, F.
author_role author
author2 Garcia, A.
Di Bella, Carlos Marcelo
Beget, María Eugenia
Llavallol, C.
Oricchio, P.
Straschnoy, J.
Weiss, M.
Baret, F.
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv remotes sensing
lai
ndvi
topic remotes sensing
lai
ndvi
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv The VEGETATION system, which has been delivering global observations of the surface on a daily basis since 1998, provides key information for regional to global climate, environmental and natural resource management applications. Just recently, VEGETATION-derived GEOV1 biophysical products (LAI, FAPAR, and FCOVER) became available for the scientific community and were evaluated in this study for semi-arid forests in the Dry Chaco ecoregion, Argentina. Indirect validation with the MODIS-derived biophysical products (MOD15A2) shows a very good temporal consistency between both products for the period 2000-2011, with a remarkably smooth behaviour of the GEOV1 products. A good relationship between both products was found in the regression analysis with an R2 of 0.826 and 0.724 for LAI and FAPAR, respectively. Using direct validation with digital hemispherical photography (DHP) and ceptometer ground measurements, a relatively small RMSE (RMSELAI ≈ 0.31 and RMSEFAPAR ≈ 0.11) was found. The novel PASTIS-57 technique, which can derive continuous plant area index (PAI) estimates from light transmittance measurements, shows a similar temporal profile to the GEOV1 LAI product with a relatively high but constant offset for the dry forest study sites and a nearly identical profile for the deforested site (R2 = 0.86). Overall, PASTIS-57, in combination with satellite-based observations, shows potentials in LAI/PAI research and ecosystem carbon studies in general, but more ground measurements taken over multiple growing seasons and vegetation types are required to confirm these findings.
Fil: Raymaekers, D.. Institut National de la Recherche Agronomique; Francia. Vlaamse Instelling Voor Technologisch Onderzoek; Bélgica
Fil: Garcia, A.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Llavallol, C.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Oricchio, P.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Straschnoy, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Weiss, M.. Institut National de la Recherche Agronomique; Francia
Fil: Baret, F.. Institut National de la Recherche Agronomique; Francia
description The VEGETATION system, which has been delivering global observations of the surface on a daily basis since 1998, provides key information for regional to global climate, environmental and natural resource management applications. Just recently, VEGETATION-derived GEOV1 biophysical products (LAI, FAPAR, and FCOVER) became available for the scientific community and were evaluated in this study for semi-arid forests in the Dry Chaco ecoregion, Argentina. Indirect validation with the MODIS-derived biophysical products (MOD15A2) shows a very good temporal consistency between both products for the period 2000-2011, with a remarkably smooth behaviour of the GEOV1 products. A good relationship between both products was found in the regression analysis with an R2 of 0.826 and 0.724 for LAI and FAPAR, respectively. Using direct validation with digital hemispherical photography (DHP) and ceptometer ground measurements, a relatively small RMSE (RMSELAI ≈ 0.31 and RMSEFAPAR ≈ 0.11) was found. The novel PASTIS-57 technique, which can derive continuous plant area index (PAI) estimates from light transmittance measurements, shows a similar temporal profile to the GEOV1 LAI product with a relatively high but constant offset for the dry forest study sites and a nearly identical profile for the deforested site (R2 = 0.86). Overall, PASTIS-57, in combination with satellite-based observations, shows potentials in LAI/PAI research and ecosystem carbon studies in general, but more ground measurements taken over multiple growing seasons and vegetation types are required to confirm these findings.
publishDate 2014
dc.date.none.fl_str_mv 2014-07
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/11336/98793
Raymaekers, D.; Garcia, A.; Di Bella, Carlos Marcelo; Beget, María Eugenia; Llavallol, C.; et al.; SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems; Taylor & Francis; International Journal of Remote Sensing; 35; 7; 7-2014; 2534-2547
0143-1161
CONICET Digital
CONICET
url http://hdl.handle.net/11336/98793
identifier_str_mv Raymaekers, D.; Garcia, A.; Di Bella, Carlos Marcelo; Beget, María Eugenia; Llavallol, C.; et al.; SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems; Taylor & Francis; International Journal of Remote Sensing; 35; 7; 7-2014; 2534-2547
0143-1161
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1080/01431161.2014.883096
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/01431161.2014.883096
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
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score 13.22299

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