Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the northwest of Sao Paulo State, Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.actahort.org/books/1038/1038_31.htm http://hdl.handle.net/11449/117696 |
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 (K-c) 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. ET0 was 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 ETa according to the degree of exposed soil, with the TEIXEIRA method presenting closer ETa values with those resulted from the traditional FAO K-c method. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic K-c values to further determine ETa on 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. |
id |
UNSP_09a75898c290f4701e1865b9223a93a7 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/117696 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Determining large scale actual evapotranspiration using agro-meteorological and remote sensing data in the northwest of Sao Paulo State, Brazilweather stationcrop coefficientThe 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 (K-c) 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. ET0 was 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 ETa according to the degree of exposed soil, with the TEIXEIRA method presenting closer ETa values with those resulted from the traditional FAO K-c method. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic K-c values to further determine ETa on 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, Hydraul & Irrigat Div, Ilha Solteira, SP, BrazilUNESP, Hydraul & Irrigat Div, Ilha Solteira, SP, BrazilInt Soc Horticultural ScienceUniversidade Estadual Paulista (Unesp)Hernandez, Fernando Braz Tangerino [UNESP]Neale, C. M. U.Teixeira, A. H. de C.Taghvaeian, S.2015-03-18T15:56:48Z2015-03-18T15:56:48Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject263-270http://www.actahort.org/books/1038/1038_31.htmVii International Symposium On Irrigation Of Horticultural Crops. Leuven 1: Int Soc Horticultural Science, v. 1038, p. 263-270, 2014.0567-7572http://hdl.handle.net/11449/117696WOS:00034388750003172762427066117640000-0001-9241-243XWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengVii International Symposium On Irrigation Of Horticultural Crops0,198info:eu-repo/semantics/openAccess2021-10-23T12:39:48Zoai:repositorio.unesp.br:11449/117696Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T12:39:48Repositório 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, Fernando Braz Tangerino [UNESP] weather station crop coefficient |
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, Fernando Braz Tangerino [UNESP] |
author_facet |
Hernandez, Fernando Braz Tangerino [UNESP] Neale, C. M. U. Teixeira, A. H. de C. Taghvaeian, S. |
author_role |
author |
author2 |
Neale, C. M. U. Teixeira, A. H. de C. Taghvaeian, S. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Hernandez, Fernando Braz Tangerino [UNESP] Neale, C. M. U. Teixeira, A. H. de C. Taghvaeian, S. |
dc.subject.por.fl_str_mv |
weather station crop coefficient |
topic |
weather station crop coefficient |
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 (K-c) 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. ET0 was 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 ETa according to the degree of exposed soil, with the TEIXEIRA method presenting closer ETa values with those resulted from the traditional FAO K-c method. This study showed that remote sensing algorithms can be useful tools for monitoring and establishing realistic K-c values to further determine ETa on 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 |
2014-01-01 2015-03-18T15:56:48Z 2015-03-18T15:56:48Z |
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://www.actahort.org/books/1038/1038_31.htm Vii International Symposium On Irrigation Of Horticultural Crops. Leuven 1: Int Soc Horticultural Science, v. 1038, p. 263-270, 2014. 0567-7572 http://hdl.handle.net/11449/117696 WOS:000343887500031 7276242706611764 0000-0001-9241-243X |
url |
http://www.actahort.org/books/1038/1038_31.htm http://hdl.handle.net/11449/117696 |
identifier_str_mv |
Vii International Symposium On Irrigation Of Horticultural Crops. Leuven 1: Int Soc Horticultural Science, v. 1038, p. 263-270, 2014. 0567-7572 WOS:000343887500031 7276242706611764 0000-0001-9241-243X |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Vii International Symposium On Irrigation Of Horticultural Crops 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.publisher.none.fl_str_mv |
Int Soc Horticultural Science |
publisher.none.fl_str_mv |
Int Soc Horticultural Science |
dc.source.none.fl_str_mv |
Web of Science 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 |
|
_version_ |
1803650014939971584 |