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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
19/02/2014 |
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Data da última atualização: |
22/08/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BASTIAANSSEN, W. G. M.; BRITO, R. A. L.; BOS, M. G.; SOUZA, R. A. de; CAVALCANTI, E. B.; BAKKER, M. M. |
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Afiliação: |
RENIVAL ALVES DE SOUZA, CPATSA. |
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Título: |
Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
Irrigation and Drainage Systems, v. 15, p. 53-79, 2001. |
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Idioma: |
Inglês |
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Conteúdo: |
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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Palavras-Chave: |
Gestão da água; Valores de referência. |
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Thesagro: |
Água; Irrigação; Manejo; Sensoriamento remoto. |
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Thesaurus Nal: |
Irrigation; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/97740/1/Renival-2001.pdf
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Marc: |
LEADER 02241naa a2200277 a 4500
001 1980488
005 2019-08-22
008 2001 bl uuuu u00u1 u #d
100 1 $aBASTIAANSSEN, W. G. M.
245 $aLow cost satellite data for monthly irrigation performance monitoring$bbenchmarks from Nilo Coelho, Brazil.
260 $c2001
520 $aIrrigation performance indicators can help water managers to understand how an irrigation scheme operates under actual circumstances. The new contribution of remote sensing data, is the opportunity to study the crop growing conditions at scales ranging from individual fields to scheme level. Public domain internet satellite data have been used to calculate actual and potential crop evapotranspiration, soil moisture and biomass growth on a monthly basis in the Nilo Coelho irrigation scheme, Pernambuco (Brazil). Satellite interpreted raster maps were merged with vector maps of the irrigation water delivery system. Monthly values of a minimum list of irrigation performance indicators for the various service units in the pressurized Nilo Coelho scheme were determined. Nilo Coelho is a good performing scheme. The performance can be improved further if 25% irrigation water is saved from February to July. The benchmark figures from this modern irrigation system are presented for comparitive analysis with other systems. The acceptable ranges in space and time are presented. On average, 65% of the lateral pumping units on a monthly basis fall within the acceptable limits of irrigation performance. Low cost irrigation performance data based on low resolution satellite images (US$ 1/ha) will help the management team to focus on specific pumping units, and discuss alternative irrigation and farm management strategies with the stakeholders.
650 $aIrrigation
650 $aRemote sensing
650 $aÁgua
650 $aIrrigação
650 $aManejo
650 $aSensoriamento remoto
653 $aGestão da água
653 $aValores de referência
700 1 $aBRITO, R. A. L.
700 1 $aBOS, M. G.
700 1 $aSOUZA, R. A. de
700 1 $aCAVALCANTI, E. B.
700 1 $aBAKKER, M. M.
773 $tIrrigation and Drainage Systems$gv. 15, p. 53-79, 2001.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria Tropical. Para informações adicionais entre em contato com cnpat.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
24/09/2014 |
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Data da última atualização: |
06/04/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
CARVALHO, C. A. C. de; SILVA, E. de O.; BEZERRA, M. A. |
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Afiliação: |
CRISTHYAN ALEXANDRE CARCIA de CARVALHO, UFERSA - Pós graduação em Fitotecnia; EBENEZER DE OLIVEIRA SILVA, CNPAT; MARLOS ALVES BEZERRA, CNPAT. |
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Título: |
Impact of climate change on plants, fruits and grains. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Revista Caatinga, Mossoró, v. 27, n. 1, p. 205-212, 2014. |
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Idioma: |
Português |
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Palavras-Chave: |
Fisiologia de plantas; Gases de efeito estufa; Metabolismo fitossintético; Photosynthetic metabolism. |
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Thesagro: |
Dióxido de Carbono; Temperatura. |
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Thesaurus NAL: |
carbon dioxide; greenhouse gases; plant physiology; temperature. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00765naa a2200253 a 4500
001 1995809
005 2017-04-06
008 2014 bl uuuu u00u1 u #d
100 1 $aCARVALHO, C. A. C. de
245 $aImpact of climate change on plants, fruits and grains.$h[electronic resource]
260 $c2014
650 $acarbon dioxide
650 $agreenhouse gases
650 $aplant physiology
650 $atemperature
650 $aDióxido de Carbono
650 $aTemperatura
653 $aFisiologia de plantas
653 $aGases de efeito estufa
653 $aMetabolismo fitossintético
653 $aPhotosynthetic metabolism
700 1 $aSILVA, E. de O.
700 1 $aBEZERRA, M. A.
773 $tRevista Caatinga, Mossoró$gv. 27, n. 1, p. 205-212, 2014.
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Embrapa Agroindústria Tropical (CNPAT) |
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