Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil

Detalhes bibliográficos
Autor(a) principal: Teixeira, Antonio H. de C.
Data de Publicação: 2013
Outros Autores: Lopes, Helio L., Hernandez, Fernando B. T. [UNESP], Sherer-Warren, Morris, Andrade, Ricardo G., Neale, Christopher M. U., Neale, CMU, Maltese, A.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/12.2027490
http://hdl.handle.net/11449/194775
Resumo: The Nilo Coelho irrigation scheme, located in the semi-arid region of Brazil, is highlighted as an important agricultural irrigated perimeter. Considering the scenario of this fast land use change, the development and application of suitable tools to quantify the trends of the water productivity parameters on a large scale is important. To analyse the effects of land use change within this perimeter, the large-scale values of biomass production (BIO) and actual evapotranspiration (ET) were quantified from 1992 to 2011, under the naturally driest conditions along the year. Monteith's radiation model was applied for estimating the absorbed photosynthetically active radiation (APAR), while the SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to retrieve ET. The highest incremental BIO values happened during the years of 1999 and 2005, as a result of the increased agricultural area under production inside the perimeter, when the average differences between irrigated crops and natural vegetation were more than 70 kg ha(-1) d(-1). Comparing the average ET rates of 1992 (1.6 mm d(-1)) with those for 2011 (3.1 mm d(-1)), it was verified that the extra water consumption doubled because of the increments of irrigated areas along the years. More uniformity along the years on both water productivity parameters occurred for natural vegetation, evidenced by the lower values of standard deviation when comparing to irrigated crops. The heterogeneity of ET values under irrigation conditions are due to the different species, crop stages, cultural and water managements.
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spelling Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazilevapotranspirationbiomass productionphotosyntetically active radiationsurface resistanceThe Nilo Coelho irrigation scheme, located in the semi-arid region of Brazil, is highlighted as an important agricultural irrigated perimeter. Considering the scenario of this fast land use change, the development and application of suitable tools to quantify the trends of the water productivity parameters on a large scale is important. To analyse the effects of land use change within this perimeter, the large-scale values of biomass production (BIO) and actual evapotranspiration (ET) were quantified from 1992 to 2011, under the naturally driest conditions along the year. Monteith's radiation model was applied for estimating the absorbed photosynthetically active radiation (APAR), while the SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to retrieve ET. The highest incremental BIO values happened during the years of 1999 and 2005, as a result of the increased agricultural area under production inside the perimeter, when the average differences between irrigated crops and natural vegetation were more than 70 kg ha(-1) d(-1). Comparing the average ET rates of 1992 (1.6 mm d(-1)) with those for 2011 (3.1 mm d(-1)), it was verified that the extra water consumption doubled because of the increments of irrigated areas along the years. More uniformity along the years on both water productivity parameters occurred for natural vegetation, evidenced by the lower values of standard deviation when comparing to irrigated crops. The heterogeneity of ET values under irrigation conditions are due to the different species, crop stages, cultural and water managements.FACEPEFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Embrapa Monitoramento Satelite, Sao Paulo, BrazilUniv Fed Pernambuco, Recife, PE, BrazilUniv Estadual Paulista, Sao Paulo, BrazilAgencia Nacl Aguas, Brasilia, DF, BrazilUtah State Univ, Logan, UT 84322 USAUniv Estadual Paulista, Sao Paulo, BrazilSpie-int Soc Optical EngineeringEmpresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Federal de Pernambuco (UFPE)Universidade Estadual Paulista (Unesp)Agencia Nacl AguasUtah State UnivTeixeira, Antonio H. de C.Lopes, Helio L.Hernandez, Fernando B. T. [UNESP]Sherer-Warren, MorrisAndrade, Ricardo G.Neale, Christopher M. U.Neale, CMUMaltese, A.2020-12-10T16:37:17Z2020-12-10T16:37:17Z2013-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject8http://dx.doi.org/10.1117/12.2027490Remote Sensing For Agriculture, Ecosystems, And Hydrology Xv. Bellingham: Spie-int Soc Optical Engineering, v. 8887, 8 p., 2013.0277-786Xhttp://hdl.handle.net/11449/19477510.1117/12.2027490WOS:000328503200030Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing For Agriculture, Ecosystems, And Hydrology Xvinfo:eu-repo/semantics/openAccess2022-03-06T22:18:27Zoai:repositorio.unesp.br:11449/194775Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:53:29.944893Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil
title Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil
spellingShingle Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil
Teixeira, Antonio H. de C.
evapotranspiration
biomass production
photosyntetically active radiation
surface resistance
title_short Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil
title_full Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil
title_fullStr Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil
title_full_unstemmed Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil
title_sort Retrieving water productivity parameters by using Landsat images in the Nilo Coelho irrigation scheme, Brazil
author Teixeira, Antonio H. de C.
author_facet Teixeira, Antonio H. de C.
Lopes, Helio L.
Hernandez, Fernando B. T. [UNESP]
Sherer-Warren, Morris
Andrade, Ricardo G.
Neale, Christopher M. U.
Neale, CMU
Maltese, A.
author_role author
author2 Lopes, Helio L.
Hernandez, Fernando B. T. [UNESP]
Sherer-Warren, Morris
Andrade, Ricardo G.
Neale, Christopher M. U.
Neale, CMU
Maltese, A.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Universidade Federal de Pernambuco (UFPE)
Universidade Estadual Paulista (Unesp)
Agencia Nacl Aguas
Utah State Univ
dc.contributor.author.fl_str_mv Teixeira, Antonio H. de C.
Lopes, Helio L.
Hernandez, Fernando B. T. [UNESP]
Sherer-Warren, Morris
Andrade, Ricardo G.
Neale, Christopher M. U.
Neale, CMU
Maltese, A.
dc.subject.por.fl_str_mv evapotranspiration
biomass production
photosyntetically active radiation
surface resistance
topic evapotranspiration
biomass production
photosyntetically active radiation
surface resistance
description The Nilo Coelho irrigation scheme, located in the semi-arid region of Brazil, is highlighted as an important agricultural irrigated perimeter. Considering the scenario of this fast land use change, the development and application of suitable tools to quantify the trends of the water productivity parameters on a large scale is important. To analyse the effects of land use change within this perimeter, the large-scale values of biomass production (BIO) and actual evapotranspiration (ET) were quantified from 1992 to 2011, under the naturally driest conditions along the year. Monteith's radiation model was applied for estimating the absorbed photosynthetically active radiation (APAR), while the SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to retrieve ET. The highest incremental BIO values happened during the years of 1999 and 2005, as a result of the increased agricultural area under production inside the perimeter, when the average differences between irrigated crops and natural vegetation were more than 70 kg ha(-1) d(-1). Comparing the average ET rates of 1992 (1.6 mm d(-1)) with those for 2011 (3.1 mm d(-1)), it was verified that the extra water consumption doubled because of the increments of irrigated areas along the years. More uniformity along the years on both water productivity parameters occurred for natural vegetation, evidenced by the lower values of standard deviation when comparing to irrigated crops. The heterogeneity of ET values under irrigation conditions are due to the different species, crop stages, cultural and water managements.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01
2020-12-10T16:37:17Z
2020-12-10T16:37:17Z
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/10.1117/12.2027490
Remote Sensing For Agriculture, Ecosystems, And Hydrology Xv. Bellingham: Spie-int Soc Optical Engineering, v. 8887, 8 p., 2013.
0277-786X
http://hdl.handle.net/11449/194775
10.1117/12.2027490
WOS:000328503200030
url http://dx.doi.org/10.1117/12.2027490
http://hdl.handle.net/11449/194775
identifier_str_mv Remote Sensing For Agriculture, Ecosystems, And Hydrology Xv. Bellingham: Spie-int Soc Optical Engineering, v. 8887, 8 p., 2013.
0277-786X
10.1117/12.2027490
WOS:000328503200030
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing For Agriculture, Ecosystems, And Hydrology Xv
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 8
dc.publisher.none.fl_str_mv Spie-int Soc Optical Engineering
publisher.none.fl_str_mv Spie-int Soc Optical Engineering
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
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