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dc.contributor.author
Barraza Bernadas, Verónica Daniela
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dc.contributor.author
Restrepo Coupe, Natalia
dc.contributor.author
Huete, Alfredo
dc.contributor.author
Grings, Francisco Matias
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dc.contributor.author
Van Gorsel, Eva
dc.date.available
2017-06-07T21:05:18Z
dc.date.issued
2015-11
dc.identifier.citation
Barraza Bernadas, Verónica Daniela; Restrepo Coupe, Natalia; Huete, Alfredo; Grings, Francisco Matias; Van Gorsel, Eva; Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems; Elsevier Science; Agricultural And Forest Meteorology; 213; 11-2015; 126-137
dc.identifier.issn
0168-1923
dc.identifier.uri
http://hdl.handle.net/11336/17709
dc.description.abstract
In this study, we evaluated and compared optical and passive microwave index based retrievals of surface conductance (Gs) and evapotranspiration (ET) following the Penman-Monteith (PM) approach. The methodology was evaluated over the growing season at five FLUXNET sites in the USA and Australia encompassing three forest types, deciduous broadleaf forest (DBF), evergreen needleleaf forest (ENF) and evergreen broadleaf forest (EBF). A subset of Gs values were regressed against individual and combined indices of NDWI, EVI, and FI (microwave frequency index), and used to parameterize the PM equation for retrievals of ET (PM-Gs). For this purpose, we used MODIS (MYD09A1) and AMSR-E passive microwave data to compute the VIs. Model performance was quantitatively evaluated through comparative analysis of the regression coefficients (r2), and root mean square errors (RMSE). All indices correlated well with Gs over deciduous broadleaf forests, explaining 40-60% of Gs variations, however, the optical-based models had lower RMSE than the microwave FI model. In contrast, the FI model yielded the best performance to estimate Gs in evergreen forests (EBF and ENF). Overall, a combined microwave- optical model resulted in the best Gs estimates in these evergreen forests compared with the individual model approaches. In general, the PM-models explained more than 70% of the variance in LE with RMSE lower than 20 W/m2. Based on these results, we developed a new approach combining optical and passive microwave indices based on their spatial vs. temporal synergies to generate Gs time series. This combined optical-microwave approach produced the best ET estimates for evergreen forest and offered a robust approach for deciduous forest without sacrificing precision.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Surface Conductance
dc.subject
Evapotranspiration
dc.subject
Microwave
dc.subject
Optical
dc.subject.classification
Ciencias Medioambientales
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dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest 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
2017-06-06T14:49:19Z
dc.journal.volume
213
dc.journal.pagination
126-137
dc.journal.pais
Países Bajos
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dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Barraza Bernadas, Verónica Daniela. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Restrepo Coupe, Natalia. University Of Technology; Australia
dc.description.fil
Fil: Huete, Alfredo. University Of Technology; Australia
dc.description.fil
Fil: Grings, Francisco Matias. Consejo Nacional de Investigaciónes Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Astronomía y Física del Espacio. - Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Astronomía y Física del Espacio; Argentina
dc.description.fil
Fil: Van Gorsel, Eva. CSIRO Oceans and Atmosphere Flagshi; Australia
dc.journal.title
Agricultural And Forest Meteorology
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0168192315002075
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.agrformet.2015.06.020
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