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dc.contributor.author
Raymaekers, D.
dc.contributor.author
Garcia, A.
dc.contributor.author
Di Bella, Carlos Marcelo
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Beget, María Eugenia
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Llavallol, C.
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Oricchio, P.
dc.contributor.author
Straschnoy, J.
dc.contributor.author
Weiss, M.
dc.contributor.author
Baret, F.
dc.date.available
2020-03-04T19:53:10Z
dc.date.issued
2014-07
dc.identifier.citation
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
dc.identifier.issn
0143-1161
dc.identifier.uri
http://hdl.handle.net/11336/98793
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Taylor & Francis
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
remotes sensing
dc.subject
lai
dc.subject
ndvi
dc.subject.classification
Agricultura
dc.subject.classification
Agricultura, Silvicultura y Pesca
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CIENCIAS AGRÍCOLAS
dc.title
SPOT-VEGETATION GEOV1 biophysical parameters in semi-arid agro-ecosystems
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-02-27T18:47:36Z
dc.journal.volume
35
dc.journal.number
7
dc.journal.pagination
2534-2547
dc.journal.pais
Reino Unido
dc.journal.ciudad
Londres
dc.description.fil
Fil: Raymaekers, D.. Institut National de la Recherche Agronomique; Francia. Vlaamse Instelling Voor Technologisch Onderzoek; Bélgica
dc.description.fil
Fil: Garcia, A.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
dc.description.fil
Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
dc.description.fil
Fil: Llavallol, C.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
dc.description.fil
Fil: Oricchio, P.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
dc.description.fil
Fil: Straschnoy, J.. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
dc.description.fil
Fil: Weiss, M.. Institut National de la Recherche Agronomique; Francia
dc.description.fil
Fil: Baret, F.. Institut National de la Recherche Agronomique; Francia
dc.journal.title
International Journal of Remote Sensing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1080/01431161.2014.883096
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.tandfonline.com/doi/full/10.1080/01431161.2014.883096
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