Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.

Detalhes bibliográficos
Autor(a) principal: BASTIAANSSEN, W. G. M.
Data de Publicação: 2001
Outros Autores: BRITO, R. A. L., BOS, M. G., SOUZA, R. A. de, CAVALCANTI, E. B., BAKKER, M. M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/980488
Resumo: Irrigation performance indicators can help water managers to understand how an irrigation scheme operates under actual circumstances. The new contribution of remote sensing data, is the opportunity to study the crop growing conditions at scales ranging from individual fields to scheme level. Public domain internet satellite data have been used to calculate actual and potential crop evapotranspiration, soil moisture and biomass growth on a monthly basis in the Nilo Coelho irrigation scheme, Pernambuco (Brazil). Satellite interpreted raster maps were merged with vector maps of the irrigation water delivery system. Monthly values of a minimum list of irrigation performance indicators for the various service units in the pressurized Nilo Coelho scheme were determined. Nilo Coelho is a good performing scheme. The performance can be improved further if 25% irrigation water is saved from February to July. The benchmark figures from this modern irrigation system are presented for comparitive analysis with other systems. The acceptable ranges in space and time are presented. On average, 65% of the lateral pumping units on a monthly basis fall within the acceptable limits of irrigation performance. Low cost irrigation performance data based on low resolution satellite images (US$ 1/ha) will help the management team to focus on specific pumping units, and discuss alternative irrigation and farm management strategies with the stakeholders.
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spelling Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.Gestão da águaValores de referênciaIrrigaçãoSensoriamento remotoÁguaManejoIrrigationRemote sensingIrrigation performance indicators can help water managers to understand how an irrigation scheme operates under actual circumstances. The new contribution of remote sensing data, is the opportunity to study the crop growing conditions at scales ranging from individual fields to scheme level. Public domain internet satellite data have been used to calculate actual and potential crop evapotranspiration, soil moisture and biomass growth on a monthly basis in the Nilo Coelho irrigation scheme, Pernambuco (Brazil). Satellite interpreted raster maps were merged with vector maps of the irrigation water delivery system. Monthly values of a minimum list of irrigation performance indicators for the various service units in the pressurized Nilo Coelho scheme were determined. Nilo Coelho is a good performing scheme. The performance can be improved further if 25% irrigation water is saved from February to July. The benchmark figures from this modern irrigation system are presented for comparitive analysis with other systems. The acceptable ranges in space and time are presented. On average, 65% of the lateral pumping units on a monthly basis fall within the acceptable limits of irrigation performance. Low cost irrigation performance data based on low resolution satellite images (US$ 1/ha) will help the management team to focus on specific pumping units, and discuss alternative irrigation and farm management strategies with the stakeholders.RENIVAL ALVES DE SOUZA, CPATSA.BASTIAANSSEN, W. G. M.BRITO, R. A. L.BOS, M. G.SOUZA, R. A. deCAVALCANTI, E. B.BAKKER, M. M.2014-02-19T11:11:11Z2014-02-19T11:11:11Z2014-02-1920012019-08-22T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleIrrigation and Drainage Systems, v. 15, p. 53-79, 2001.http://www.alice.cnptia.embrapa.br/alice/handle/doc/980488enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:22:32Zoai:www.alice.cnptia.embrapa.br:doc/980488Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T04:22:32falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:22:32Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
title Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
spellingShingle Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
BASTIAANSSEN, W. G. M.
Gestão da água
Valores de referência
Irrigação
Sensoriamento remoto
Água
Manejo
Irrigation
Remote sensing
title_short Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
title_full Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
title_fullStr Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
title_full_unstemmed Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
title_sort Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
author BASTIAANSSEN, W. G. M.
author_facet BASTIAANSSEN, W. G. M.
BRITO, R. A. L.
BOS, M. G.
SOUZA, R. A. de
CAVALCANTI, E. B.
BAKKER, M. M.
author_role author
author2 BRITO, R. A. L.
BOS, M. G.
SOUZA, R. A. de
CAVALCANTI, E. B.
BAKKER, M. M.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv RENIVAL ALVES DE SOUZA, CPATSA.
dc.contributor.author.fl_str_mv BASTIAANSSEN, W. G. M.
BRITO, R. A. L.
BOS, M. G.
SOUZA, R. A. de
CAVALCANTI, E. B.
BAKKER, M. M.
dc.subject.por.fl_str_mv Gestão da água
Valores de referência
Irrigação
Sensoriamento remoto
Água
Manejo
Irrigation
Remote sensing
topic Gestão da água
Valores de referência
Irrigação
Sensoriamento remoto
Água
Manejo
Irrigation
Remote sensing
description Irrigation performance indicators can help water managers to understand how an irrigation scheme operates under actual circumstances. The new contribution of remote sensing data, is the opportunity to study the crop growing conditions at scales ranging from individual fields to scheme level. Public domain internet satellite data have been used to calculate actual and potential crop evapotranspiration, soil moisture and biomass growth on a monthly basis in the Nilo Coelho irrigation scheme, Pernambuco (Brazil). Satellite interpreted raster maps were merged with vector maps of the irrigation water delivery system. Monthly values of a minimum list of irrigation performance indicators for the various service units in the pressurized Nilo Coelho scheme were determined. Nilo Coelho is a good performing scheme. The performance can be improved further if 25% irrigation water is saved from February to July. The benchmark figures from this modern irrigation system are presented for comparitive analysis with other systems. The acceptable ranges in space and time are presented. On average, 65% of the lateral pumping units on a monthly basis fall within the acceptable limits of irrigation performance. Low cost irrigation performance data based on low resolution satellite images (US$ 1/ha) will help the management team to focus on specific pumping units, and discuss alternative irrigation and farm management strategies with the stakeholders.
publishDate 2001
dc.date.none.fl_str_mv 2001
2014-02-19T11:11:11Z
2014-02-19T11:11:11Z
2014-02-19
2019-08-22T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Irrigation and Drainage Systems, v. 15, p. 53-79, 2001.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/980488
identifier_str_mv Irrigation and Drainage Systems, v. 15, p. 53-79, 2001.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/980488
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
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reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
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