Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.17660/ActaHortic.2014.1038.31 http://hdl.handle.net/11449/167649 |
Resumo: | The best irrigation management depends on accurate estimation of reference evapotranspiration (ET0) and then selection of the appropriate crop coefficient for each phenological stage. However, the evaluation of water productivity on a large scale can be done by using actual evapotranspiration (ETa), determined by coupling agrometeorological and remote sensing data. This paper describes methodologies used for estimating ETa for 20 centerpivots using three different approaches: the traditional FAO crop coefficient (Kc) method and two remote sensing algorithms, one called SEBAL and other named TEIXEIRA. The methods were applied to one Landsat 5 Thematic Mapper image acquired in July 2010 over the Northwest portion of the Sao Paulo State, Brazil. The corn, bean and sugar cane crops are grown under center pivot sprinkler irrigation. ET0was calculated by the Penman-Monteith method with data from one automated weather station close to the study site. The results showed that for the crops at effective full cover, SEBAL and TEIXEIRA's methods agreed well comparing with the traditional method. However, both remote sensing methods overestimated ETaaccording to the degree of exposed soil, with the TEIXEIRA method presenting closer ET avalues with those resulted from the traditional FAO K cmethod. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic Kc values to further determine ETaon a large scale. However, several images during the growing seasons must be used to establish the necessary adjustments to the traditional FAO crop coefficient method. |
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Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, BrazilCrop coefficientWeather stationThe best irrigation management depends on accurate estimation of reference evapotranspiration (ET0) and then selection of the appropriate crop coefficient for each phenological stage. However, the evaluation of water productivity on a large scale can be done by using actual evapotranspiration (ETa), determined by coupling agrometeorological and remote sensing data. This paper describes methodologies used for estimating ETa for 20 centerpivots using three different approaches: the traditional FAO crop coefficient (Kc) method and two remote sensing algorithms, one called SEBAL and other named TEIXEIRA. The methods were applied to one Landsat 5 Thematic Mapper image acquired in July 2010 over the Northwest portion of the Sao Paulo State, Brazil. The corn, bean and sugar cane crops are grown under center pivot sprinkler irrigation. ET0was calculated by the Penman-Monteith method with data from one automated weather station close to the study site. The results showed that for the crops at effective full cover, SEBAL and TEIXEIRA's methods agreed well comparing with the traditional method. However, both remote sensing methods overestimated ETaaccording to the degree of exposed soil, with the TEIXEIRA method presenting closer ET avalues with those resulted from the traditional FAO K cmethod. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic Kc values to further determine ETaon a large scale. However, several images during the growing seasons must be used to establish the necessary adjustments to the traditional FAO crop coefficient method.UNESP-Campus Ilha Solteira Hydraulics and Irrigation Division, Ilha Solteira, SPEmbrapa Monitoramento por Satélite, Sao Paulo, SPUtah State University Remote Sensing Lab, Logan, UTColorado State University, Fort Collins, COUNESP-Campus Ilha Solteira Hydraulics and Irrigation Division, Ilha Solteira, SPUniversidade Estadual Paulista (Unesp)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Remote Sensing LabColorado State UniversityHernandez, F. B.T. [UNESP]De Teixeira, A. H.C.Neale, C. M.U.Taghvaeian, S.2018-12-11T16:37:47Z2018-12-11T16:37:47Z2014-06-20info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject263-270http://dx.doi.org/10.17660/ActaHortic.2014.1038.31Acta Horticulturae, v. 1038, p. 263-270.0567-7572http://hdl.handle.net/11449/16764910.17660/ActaHortic.2014.1038.312-s2.0-84905054671Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengActa Horticulturae0,198info:eu-repo/semantics/openAccess2022-03-06T22:06:29Zoai:repositorio.unesp.br:11449/167649Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:14:40.606391Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil |
title |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil |
spellingShingle |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil Hernandez, F. B.T. [UNESP] Crop coefficient Weather station |
title_short |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil |
title_full |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil |
title_fullStr |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil |
title_full_unstemmed |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil |
title_sort |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the Northwest of Sao Paulo state, Brazil |
author |
Hernandez, F. B.T. [UNESP] |
author_facet |
Hernandez, F. B.T. [UNESP] De Teixeira, A. H.C. Neale, C. M.U. Taghvaeian, S. |
author_role |
author |
author2 |
De Teixeira, A. H.C. Neale, C. M.U. Taghvaeian, S. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Remote Sensing Lab Colorado State University |
dc.contributor.author.fl_str_mv |
Hernandez, F. B.T. [UNESP] De Teixeira, A. H.C. Neale, C. M.U. Taghvaeian, S. |
dc.subject.por.fl_str_mv |
Crop coefficient Weather station |
topic |
Crop coefficient Weather station |
description |
The best irrigation management depends on accurate estimation of reference evapotranspiration (ET0) and then selection of the appropriate crop coefficient for each phenological stage. However, the evaluation of water productivity on a large scale can be done by using actual evapotranspiration (ETa), determined by coupling agrometeorological and remote sensing data. This paper describes methodologies used for estimating ETa for 20 centerpivots using three different approaches: the traditional FAO crop coefficient (Kc) method and two remote sensing algorithms, one called SEBAL and other named TEIXEIRA. The methods were applied to one Landsat 5 Thematic Mapper image acquired in July 2010 over the Northwest portion of the Sao Paulo State, Brazil. The corn, bean and sugar cane crops are grown under center pivot sprinkler irrigation. ET0was calculated by the Penman-Monteith method with data from one automated weather station close to the study site. The results showed that for the crops at effective full cover, SEBAL and TEIXEIRA's methods agreed well comparing with the traditional method. However, both remote sensing methods overestimated ETaaccording to the degree of exposed soil, with the TEIXEIRA method presenting closer ET avalues with those resulted from the traditional FAO K cmethod. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic Kc values to further determine ETaon a large scale. However, several images during the growing seasons must be used to establish the necessary adjustments to the traditional FAO crop coefficient method. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-06-20 2018-12-11T16:37:47Z 2018-12-11T16:37:47Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.17660/ActaHortic.2014.1038.31 Acta Horticulturae, v. 1038, p. 263-270. 0567-7572 http://hdl.handle.net/11449/167649 10.17660/ActaHortic.2014.1038.31 2-s2.0-84905054671 |
url |
http://dx.doi.org/10.17660/ActaHortic.2014.1038.31 http://hdl.handle.net/11449/167649 |
identifier_str_mv |
Acta Horticulturae, v. 1038, p. 263-270. 0567-7572 10.17660/ActaHortic.2014.1038.31 2-s2.0-84905054671 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Acta Horticulturae 0,198 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
263-270 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808129040318464000 |