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| Registros recuperados : 3 | |
| 1. |  | BAGHERI, N.; AHMADI, H.; ALAVIPANAH, S. K.; OMID, M. Multispectral remote sensing for site-speific nitrogen fertilizer management. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 10, p. 1394-1401, out. 2013. Título em português: Sensoriamento remoto multiespectral no manejo sítio?específico da adubação nitrogenada.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 2. | | MONTANARELLA, L.; PENNOCK, D.; MCKENZIE, N.; ALAVIPANAH, S. K.; ALEGRE, J.; ALSHANKITI, A.; ARROUAYS, D.; AULAKH, M. S.; BADRAOUI, M.; BAPTISTA. I.; BLACK, H.; CAMPS ARBESTAIN, M.; CHUDE, V.; EL SHEIKH, E. A. E.; VICTORIA, D. E.; HEMPEL, J.; HENRIQUEZ, C. R.; HONG, S. Y.; KRASILNIKOV, P.; MAMO, T.; MENDONÇA-SANTOS, M. de L.; SOBOCKÁ, J.; TABOADA, M.; VIJARNSORN, P.; YAGI, K.; YEMEFACK, M.; ZHANG, G. L. (ed.). Status of the world's soil resources: technical summary. Rome: FAO, 2015. ix, 94 p.| Biblioteca(s): Embrapa Solos. |
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| 3. | | MONTANARELLA, L.; PENNOCK, D. J.; MCKENZIE, N.; BADRAOUI, M.; CHUDE, V.; BAPTISTA, I.; MAMO, T.; YEMEFACK, M.; AULAKH, M. S.; YAGI, K.; HONG, S. Y.; VIJARNSORN, P.; ZHANG, G.-L.; ARROUAYS, D.; BLACK, H.; KRASILNIKOV, P.; SOBOCKÁ, J.; ALEGRE, J.; HENRIQUEZ, C. R.; MENDONÇA-SANTOS, M. de L.; TABOADA, M.; ESPINOSA-VICTORIA, D.; ALSHANKITI, A.; ALAVIPANAH, S. K.; ELSHEIKH, E. A. E. M.; HEMPEL, J.; ARBESTAIN, M. C.; NACHTERGAELE, F.; VARGAS, R. World's soils are under threat. Soil, Göttingen, v. 2, n. 1, p. 79-82, 2016.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 3 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
06/03/2014 |
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Data da última atualização: |
05/07/2017 |
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Autoria: |
BAGHERI, N.; AHMADI, H.; ALAVIPANAH, S. K.; OMID, M. |
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Afiliação: |
Nikrooz Bagheri, Agricultural Engineering Research Institute; Hojjat Ahmadi, University of Tehran, Department of Agricultural Machinery Engineering; Seyed Kazem Alavipanah, University of Tehran, Faculty of Geography, Department of Remote Sensing; Mahmoud Omid, University of Tehran, Department of Agricultural Machinery Engineering. |
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Título: |
Multispectral remote sensing for site-speific nitrogen fertilizer management. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 10, p. 1394-1401, out. 2013. |
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Idioma: |
Inglês |
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Notas: |
Título em português: Sensoriamento remoto multiespectral no manejo sítio?específico da adubação nitrogenada. |
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Conteúdo: |
The objective of this work was to evaluate the use of multispectral remote sensing for site?specific nitrogen fertilizer management. Satellite imagery from the advanced spaceborne thermal emission and reflection radiometer (Aster) was acquired in a 23 ha corn?planted area in Iran. For the collection of field samples, a total of 53 pixels were selected by systematic randomized sampling. The total nitrogen content in corn leaf tissues in these pixels was evaluated. To predict corn canopy nitrogen content, different vegetation indices, such as normalized difference vegetation index (NDVI), soil?adjusted vegetation index (Savi), optimized soil?adjusted vegetation index (Osavi), modified chlorophyll absorption ratio index 2 (MCARI2), and modified triangle vegetation index 2 (MTVI2), were investigated. The supervised classification technique using the spectral angle mapper classifier (SAM) was performed to generate a nitrogen fertilization map. The MTVI2 presented the highest correlation (R2=0.87) and is a good predictor of corn canopy nitrogen content in the V13 stage, at 60 days after cultivating. Aster imagery can be used to predict nitrogen status in corn canopy. Classification results indicate three levels of required nitrogen per pixel: low (0?2.5 kg), medium (2.5?3 kg), and high (3?3.3 kg). |
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Palavras-Chave: |
Aster; Conteúdo de nitrogênio; Índices de vegetação; Infravermelho próximo; Near infrared; Resposta multiespectral; Vegetation indice. |
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Thesagro: |
Agricultura de precisão. |
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Thesaurus NAL: |
Nitrogen content. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/98646/1/Selection-of-common-bean-lines.pdf
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Marc: |
LEADER 02236naa a2200277 a 4500
001 1981703
005 2017-07-05
008 2013 bl uuuu u00u1 u #d
100 1 $aBAGHERI, N.
245 $aMultispectral remote sensing for site-speific nitrogen fertilizer management.
260 $c2013
500 $aTítulo em português: Sensoriamento remoto multiespectral no manejo sítio?específico da adubação nitrogenada.
520 $aThe objective of this work was to evaluate the use of multispectral remote sensing for site?specific nitrogen fertilizer management. Satellite imagery from the advanced spaceborne thermal emission and reflection radiometer (Aster) was acquired in a 23 ha corn?planted area in Iran. For the collection of field samples, a total of 53 pixels were selected by systematic randomized sampling. The total nitrogen content in corn leaf tissues in these pixels was evaluated. To predict corn canopy nitrogen content, different vegetation indices, such as normalized difference vegetation index (NDVI), soil?adjusted vegetation index (Savi), optimized soil?adjusted vegetation index (Osavi), modified chlorophyll absorption ratio index 2 (MCARI2), and modified triangle vegetation index 2 (MTVI2), were investigated. The supervised classification technique using the spectral angle mapper classifier (SAM) was performed to generate a nitrogen fertilization map. The MTVI2 presented the highest correlation (R2=0.87) and is a good predictor of corn canopy nitrogen content in the V13 stage, at 60 days after cultivating. Aster imagery can be used to predict nitrogen status in corn canopy. Classification results indicate three levels of required nitrogen per pixel: low (0?2.5 kg), medium (2.5?3 kg), and high (3?3.3 kg).
650 $aNitrogen content
650 $aAgricultura de precisão
653 $aAster
653 $aConteúdo de nitrogênio
653 $aÍndices de vegetação
653 $aInfravermelho próximo
653 $aNear infrared
653 $aResposta multiespectral
653 $aVegetation indice
700 1 $aAHMADI, H.
700 1 $aALAVIPANAH, S. K.
700 1 $aOMID, M.
773 $tPesquisa Agropecuária Brasileira, Brasília, DF$gv. 48, n. 10, p. 1394-1401, out. 2013.
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Embrapa Unidades Centrais (AI-SEDE) |
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