Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems
- Autores
- Barraza Bernadas, Verónica Daniela; Restrepo Coupe, Natalia; Huete, Alfredo; Grings, Francisco Matias; Van Gorsel, Eva
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
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
Fil: Restrepo Coupe, Natalia. University Of Technology; Australia
Fil: Huete, Alfredo. University Of Technology; Australia
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
Fil: Van Gorsel, Eva. CSIRO Oceans and Atmosphere Flagshi; Australia - Materia
-
Surface Conductance
Evapotranspiration
Microwave
Optical - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/17709
Ver los metadatos del registro completo
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spelling |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystemsBarraza Bernadas, Verónica DanielaRestrepo Coupe, NataliaHuete, AlfredoGrings, Francisco MatiasVan Gorsel, EvaSurface ConductanceEvapotranspirationMicrowaveOpticalhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In 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.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; ArgentinaFil: Restrepo Coupe, Natalia. University Of Technology; AustraliaFil: Huete, Alfredo. University Of Technology; AustraliaFil: 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; ArgentinaFil: Van Gorsel, Eva. CSIRO Oceans and Atmosphere Flagshi; AustraliaElsevier Science2015-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17709Barraza 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; 126-1370168-1923enginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0168192315002075info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.agrformet.2015.06.020info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:30:34Zoai:ri.conicet.gov.ar:11336/17709instacron: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:34982025-09-29 10:30:34.485CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems |
title |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems |
spellingShingle |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems Barraza Bernadas, Verónica Daniela Surface Conductance Evapotranspiration Microwave Optical |
title_short |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems |
title_full |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems |
title_fullStr |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems |
title_full_unstemmed |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems |
title_sort |
Passive microwave and optical Index approaches for estimating surface conductance and evapotranspiration in forest ecosystems |
dc.creator.none.fl_str_mv |
Barraza Bernadas, Verónica Daniela Restrepo Coupe, Natalia Huete, Alfredo Grings, Francisco Matias Van Gorsel, Eva |
author |
Barraza Bernadas, Verónica Daniela |
author_facet |
Barraza Bernadas, Verónica Daniela Restrepo Coupe, Natalia Huete, Alfredo Grings, Francisco Matias Van Gorsel, Eva |
author_role |
author |
author2 |
Restrepo Coupe, Natalia Huete, Alfredo Grings, Francisco Matias Van Gorsel, Eva |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
Surface Conductance Evapotranspiration Microwave Optical |
topic |
Surface Conductance Evapotranspiration Microwave Optical |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. 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 Fil: Restrepo Coupe, Natalia. University Of Technology; Australia Fil: Huete, Alfredo. University Of Technology; Australia 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 Fil: Van Gorsel, Eva. CSIRO Oceans and Atmosphere Flagshi; Australia |
description |
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. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-11 |
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/11336/17709 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 0168-1923 |
url |
http://hdl.handle.net/11336/17709 |
identifier_str_mv |
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 0168-1923 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0168192315002075 info:eu-repo/semantics/altIdentifier/url/http://dx.doi.org/10.1016/j.agrformet.2015.06.020 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
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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1844614314008248320 |
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13.070432 |