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
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/5317
Ver los metadatos del registro completo
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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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/submittedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
submittedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/5317 |
url |
https://digital.cic.gba.gob.ar/handle/11746/5317 |
dc.language.none.fl_str_mv |
spa |
language |
spa |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by/4.0/ |
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application/pdf |
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reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
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CIC Digital (CICBA) |
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CIC Digital (CICBA) |
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Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
instacron_str |
CICBA |
institution |
CICBA |
repository.name.fl_str_mv |
CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
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