Please use this identifier to cite or link to this item: https://ri.unsam.edu.ar/handle/123456789/978
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dc.contributor.authorGonzáles Trilla, Gabriela
dc.contributor.authorPratolongo, Paula
dc.contributor.authorKandus, Patricia
dc.contributor.authorBeget, Maria Emilia
dc.contributor.authorDi Bella, Carlos Marcelo
dc.contributor.authorMarcovecchio, Jorge
dc.date.accessioned2019-10-21T21:47:44Z
dc.date.available2019-10-21T21:47:44Z
dc.date.issued2015-12
dc.identifier.citationGonzáles 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
dc.identifier.issn0277-5212
dc.identifier.otherWetlands, 2016 36(1)_185-194
dc.identifier.urihttps://ri.unsam.edu.ar/handle/123456789/978-
dc.descriptionArtículo publicado
dc.description.abstractRemote 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.
dc.formatapplication/pdf
dc.format.extent185-194 p.
dc.language.isoeng
dc.publisherSpringer Netherlands
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1007/s13157-015-0715-6
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/content/pdf/10.1007%2Fs13157-015-0715-6.pdf
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.urihttps://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
dc.sourceWetlands, 2016 36(1): 185-194
dc.source.urihttps://dx.doi.org/10.1007/s13157-015-0715-6
dc.subjectSPECTRAL INDICES
dc.subjectREMOTE SENSING
dc.subjectLEAF AREA INDEX
dc.subjectSPARTINA DENSIFLORA
dc.subject.classificationCIENCIAS DE LA TIERRA Y EL MEDIO AMBIENTE
dc.subject.classificationCIENCIAS NATURALES Y EXACTAS
dc.titleRelationship between biophysical parameters and synthetic indices derived from hyperspectral field data in a salt marsh from Buenos Aires Province; Argentina
dc.rights.licenseCopyright © 2015, Springer Nature
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.description.filiationFil: Gonzáles Trilla, Gabriela. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática. San Martín. Argentina
dc.description.filiationFil: Pratolongo, Paula. Instituto Argentino de Oceanografía-CONICET. Bahía Blanca. Argentina
dc.description.filiationFil: Kandus, Patricia. Universidad Nacional de San Martín, Instituto de investigación e Ingeniería Ambiental, Laboratorio de Ecología, Teledetección y Ecoinformática. San Martín. Argentina
dc.description.filiationFil: Beget, Maria Emilia. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua. Castelar. Argentina
dc.description.filiationFil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria, Instituto de Clima y Agua. Castelar. Argentina
dc.description.filiationFil: Marcovecchio, Jorge. Instituto Argentino de Oceanografía-CONICET. Bahía Blanca. Argentina
dc.type.openaireinfo:eu-repo/semantics/article
dc.type.snrdinfo:ar-repo/semantics/artículo
item.grantfulltextreserved-
item.fulltextCon texto completo-
item.languageiso639-1en-
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