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| 1. |  | BALDESSARINI, R.; GALON, L; VARGAS, L.; MÜLLER, C.; BRANDLER, D.; SILVA, J. D. G. DA; FORTE, C. T.; FRANCESCHETTI, M. B.; TIRONI, S. P.; PERIN, GISMAEL FRANCISCO. Morphophysiological responses of wheat cultivars in competition with diploid and tetraploid ryegrass. Journal Of Agricultural Studies, v. 8, p . 546-568, 2020.| Biblioteca(s): Embrapa Trigo. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
05/01/2016 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SCRIVANI, R.; GONÇALVES, R. R. V.; ZULLO JUNIOR, J.; ROMANI, L. A. S. |
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Afiliação: |
RACHEL SCRIVANI, Estagiária CNPTIA; Unicamp; Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA. |
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Título: |
Agricultural monitoring assessment based on low spatial and high temporal resolution satellite: a comparison of AVHRR and MODIS. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2015, Milan. Proceedings... [New York]: IEEE, 2015. |
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Páginas: |
p. 3405-3408. |
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Idioma: |
Inglês |
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Notas: |
IGARSS 2015. |
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Conteúdo: |
In the last few years multi-temporal data obtained from remote sensing have been used in several applications with different purposes bringing important and successful results. In particular, time series extracted from NDVI images have become more and more useful to improve agricultural monitoring. Various satellites and sensors with diverse resolutions capture such images allowing the generation of a huge volume of data. The use of multiple sensors for analysis of agricultural fields can be a solution to long-term studies and also in cases when is necessary to use data from a long time or a specific date. Thus, whether we could combine data provided by sensors from different satellite we can probably obtain best results. However, the sensors have different specifications that may lead to erroneous results when working with more than one sensor indiscriminately. |
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Palavras-Chave: |
Monitoramento agrícola; Tecnologia geoespacial. |
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Thesagro: |
Sensoriamento remoto. |
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Thesaurus NAL: |
Geospatial technology; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
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001 2032931
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008 2015 bl uuuu u00u1 u #d
100 1 $aSCRIVANI, R.
245 $aAgricultural monitoring assessment based on low spatial and high temporal resolution satellite$ba comparison of AVHRR and MODIS.$h[electronic resource]
260 $aIn: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2015, Milan. Proceedings... [New York]: IEEE$c2015
300 $ap. 3405-3408.
500 $aIGARSS 2015.
520 $aIn the last few years multi-temporal data obtained from remote sensing have been used in several applications with different purposes bringing important and successful results. In particular, time series extracted from NDVI images have become more and more useful to improve agricultural monitoring. Various satellites and sensors with diverse resolutions capture such images allowing the generation of a huge volume of data. The use of multiple sensors for analysis of agricultural fields can be a solution to long-term studies and also in cases when is necessary to use data from a long time or a specific date. Thus, whether we could combine data provided by sensors from different satellite we can probably obtain best results. However, the sensors have different specifications that may lead to erroneous results when working with more than one sensor indiscriminately.
650 $aGeospatial technology
650 $aRemote sensing
650 $aSensoriamento remoto
653 $aMonitoramento agrícola
653 $aTecnologia geoespacial
700 1 $aGONÇALVES, R. R. V.
700 1 $aZULLO JUNIOR, J.
700 1 $aROMANI, L. A. S.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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