Data/hora: 04/06/2024 12:26:48

Biblioteca(s): | Embrapa Unidades Centrais.
Data corrente: | 06/03/2014
Data da última atualização: | 05/07/2017
Autoria: | BAGHERI, N.; AHMADI, H.; ALAVIPANAH, S. K.; OMID, M.
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.
Título: | Multispectral remote sensing for site-speific nitrogen fertilizer management.
Ano de publicação: | 2013
Fonte/Imprenta: | Pesquisa Agropecuária Brasileira, Brasília, DF, v. 48, n. 10, p. 1394-1401, out. 2013.
Idioma: | Inglês
Notas: | Título em português: Sensoriamento remoto multiespectral no manejo sítio?específico da adubação nitrogenada.
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).
Palavras-Chave: | Aster; Conteúdo de nitrogênio; Índices de vegetação; Infravermelho próximo; Near infrared; Resposta multiespectral; Vegetation indice.
Thesagro: | Agricultura de precisão.
Thesaurus Nal: | Nitrogen content.
Categoria do assunto: | --
URL: | http://ainfo.cnptia.embrapa.br/digital/bitstream/item/98646/1/Selection-of-common-bean-lines.pdf
Registro original: | Embrapa Unidades Centrais (AI-SEDE)
Exemplares: | AI-SEDE - (55879-1) - UPE - AP - PP - 630.72081 - P474 -  - DIS