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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
19/02/2014 |
Data da última atualização: |
22/08/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BASTIAANSSEN, W. G. M.; BRITO, R. A. L.; BOS, M. G.; SOUZA, R. A. de; CAVALCANTI, E. B.; BAKKER, M. M. |
Afiliação: |
RENIVAL ALVES DE SOUZA, CPATSA. |
Título: |
Low cost satellite data for monthly irrigation performance monitoring: benchmarks from Nilo Coelho, Brazil. |
Ano de publicação: |
2001 |
Fonte/Imprenta: |
Irrigation and Drainage Systems, v. 15, p. 53-79, 2001. |
Idioma: |
Inglês |
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. |
Palavras-Chave: |
Gestão da água; Valores de referência. |
Thesagro: |
Água; Irrigação; Manejo; Sensoriamento remoto. |
Thesaurus Nal: |
Irrigation; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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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Embrapa Semiárido (CPATSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
10/09/2015 |
Data da última atualização: |
15/02/2016 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
ROCHA, M. J. da; PEREIRA, C. H.; LEITE, P. S. da S.; NUNES, J. A. R.; PARRELLA, R. A. da C. |
Afiliação: |
RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS. |
Título: |
Associação entre caracteres agroindustriais em sorgo sacarino via GGE Biplot. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: UFG: SBMP, 2015. |
Idioma: |
Português |
Thesagro: |
Sorghum bicolor. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/129371/1/Associacao-caracteres.pdf
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Marc: |
LEADER 00638nam a2200157 a 4500 001 2023660 005 2016-02-15 008 2015 bl uuuu u00u1 u #d 100 1 $aROCHA, M. J. da 245 $aAssociação entre caracteres agroindustriais em sorgo sacarino via GGE Biplot.$h[electronic resource] 260 $aIn: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 8., 2015, Goiânia. O melhoramento de plantas, o futuro da agricultura e a soberania nacional: anais. Goiânia: UFG: SBMP$c2015 650 $aSorghum bicolor 700 1 $aPEREIRA, C. H. 700 1 $aLEITE, P. S. da S. 700 1 $aNUNES, J. A. R. 700 1 $aPARRELLA, R. A. da C.
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