Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno

Autores
Ocampo, Dora; Rivas, Raúl Eduardo; Carmona, Facundo
Año de publicación
2013
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión enviada
Descripción
In this study we estimated evapotranspiration (ET) using three algorithms based data provided by the images of the TM y ETM+ sensors (Landsat 5 y 7 respectively) and field data for mid-season stage of soybean (January), moment where moisture conditions were optimal. Also, the heat flux soil is negligible. The study site is located on parcel in Tandil (Pampa - Argentina zone-IV). The objectives consisted of applying three algorithms for estimating ET: Model 1: ET Energy Balance; Model 2: ET Adapting Seguir and Itier, and Model 3: ET Priestley-Taylor , and evaluate their performance in relation to the ET obtained by the reference method Penman-Monteith FAO 56 and field data. Results indicate that the methodologies used quantifying with precision the water used by the crop. The methods showed similarities between them. We conclude that any method used allows the estimation of the evapotranspiration with good precision at plot. Algorithm Priestley-Taylor that only data required for application one instantaneous satellite data: net radiation, and one field data: air temperature. We concluded that any method used allows the estimation of evapotranspiration with good precision at plot.
Materia
Oceanografía, Hidrología, Recursos Hídricos
evapotranspiración
Landsat
teledetección
información de terreno
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
CIC Digital (CICBA)
Institución
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
OAI Identificador
oai:digital.cic.gba.gob.ar:11746/5317

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spelling Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terrenoOcampo, DoraRivas, Raúl EduardoCarmona, FacundoOceanografía, Hidrología, Recursos HídricosevapotranspiraciónLandsatteledeteccióninformación de terrenoIn this study we estimated evapotranspiration (ET) using three algorithms based data provided by the images of the TM y ETM+ sensors (Landsat 5 y 7 respectively) and field data for mid-season stage of soybean (January), moment where moisture conditions were optimal. Also, the heat flux soil is negligible. The study site is located on parcel in Tandil (Pampa - Argentina zone-IV). The objectives consisted of applying three algorithms for estimating ET: Model 1: ET Energy Balance; Model 2: ET Adapting Seguir and Itier, and Model 3: ET Priestley-Taylor , and evaluate their performance in relation to the ET obtained by the reference method Penman-Monteith FAO 56 and field data. Results indicate that the methodologies used quantifying with precision the water used by the crop. The methods showed similarities between them. We conclude that any method used allows the estimation of the evapotranspiration with good precision at plot. Algorithm Priestley-Taylor that only data required for application one instantaneous satellite data: net radiation, and one field data: air temperature. We concluded that any method used allows the estimation of evapotranspiration with good precision at plot.2013info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/submittedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/5317spainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-29T13:39:59Zoai:digital.cic.gba.gob.ar:11746/5317Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-29 13:39:59.713CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse
dc.title.none.fl_str_mv Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno
title Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno
spellingShingle Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno
Ocampo, Dora
Oceanografía, Hidrología, Recursos Hídricos
evapotranspiración
Landsat
teledetección
información de terreno
title_short Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno
title_full Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno
title_fullStr Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno
title_full_unstemmed Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno
title_sort Aplicación de tres modelos de estimación de la evapotranspiración a partir de imágenes Landsat e información de terreno
dc.creator.none.fl_str_mv Ocampo, Dora
Rivas, Raúl Eduardo
Carmona, Facundo
author Ocampo, Dora
author_facet Ocampo, Dora
Rivas, Raúl Eduardo
Carmona, Facundo
author_role author
author2 Rivas, Raúl Eduardo
Carmona, Facundo
author2_role author
author
dc.subject.none.fl_str_mv Oceanografía, Hidrología, Recursos Hídricos
evapotranspiración
Landsat
teledetección
información de terreno
topic Oceanografía, Hidrología, Recursos Hídricos
evapotranspiración
Landsat
teledetección
información de terreno
dc.description.none.fl_txt_mv In this study we estimated evapotranspiration (ET) using three algorithms based data provided by the images of the TM y ETM+ sensors (Landsat 5 y 7 respectively) and field data for mid-season stage of soybean (January), moment where moisture conditions were optimal. Also, the heat flux soil is negligible. The study site is located on parcel in Tandil (Pampa - Argentina zone-IV). The objectives consisted of applying three algorithms for estimating ET: Model 1: ET Energy Balance; Model 2: ET Adapting Seguir and Itier, and Model 3: ET Priestley-Taylor , and evaluate their performance in relation to the ET obtained by the reference method Penman-Monteith FAO 56 and field data. Results indicate that the methodologies used quantifying with precision the water used by the crop. The methods showed similarities between them. We conclude that any method used allows the estimation of the evapotranspiration with good precision at plot. Algorithm Priestley-Taylor that only data required for application one instantaneous satellite data: net radiation, and one field data: air temperature. We concluded that any method used allows the estimation of evapotranspiration with good precision at plot.
description In this study we estimated evapotranspiration (ET) using three algorithms based data provided by the images of the TM y ETM+ sensors (Landsat 5 y 7 respectively) and field data for mid-season stage of soybean (January), moment where moisture conditions were optimal. Also, the heat flux soil is negligible. The study site is located on parcel in Tandil (Pampa - Argentina zone-IV). The objectives consisted of applying three algorithms for estimating ET: Model 1: ET Energy Balance; Model 2: ET Adapting Seguir and Itier, and Model 3: ET Priestley-Taylor , and evaluate their performance in relation to the ET obtained by the reference method Penman-Monteith FAO 56 and field data. Results indicate that the methodologies used quantifying with precision the water used by the crop. The methods showed similarities between them. We conclude that any method used allows the estimation of the evapotranspiration with good precision at plot. Algorithm Priestley-Taylor that only data required for application one instantaneous satellite data: net radiation, and one field data: air temperature. We concluded that any method used allows the estimation of evapotranspiration with good precision at plot.
publishDate 2013
dc.date.none.fl_str_mv 2013
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instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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instname_str Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
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