Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil.
Autor(a) principal: | |
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Data de Publicação: | 2001 |
Outros Autores: | , , , , |
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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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 |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
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) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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