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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: |
null
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
