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Provedor de dados:  PAB
País:  Brazil
Título:  Multispectral remote sensing for site-specific nitrogen fertilizer management
Autores:  Bagheri,Nikrooz
Alavipanah,Seyed Kazem
Data:  2013-10-01
Ano:  2013
Palavras-chave:  Aster
Nitrogen content
Near infrared
Multispectral response
Precision agriculture
Vegetation indices
Resumo:  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).
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Editor:  Embrapa Secretaria de Pesquisa e Desenvolvimento

Pesquisa Agropecuária Brasileira
Relação:  10.1590/S0100-204X2013001000011
Formato:  text/html
Fonte:  Pesquisa Agropecuária Brasileira v.48 n.10 2013
Direitos:  info:eu-repo/semantics/openAccess

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