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Computational framework to analyze agrometeorological, climate and remote sensing data: challenges and perspectives.
ROMANI, L. A. S. - TRAINA, A. J. M. - SOUSA, E. P. M. de - ZULLO JÚNIOR, J. - AVILA, A. M. H. - RODRIGUES JR., J. F. - TRAINA JÚNIOR., C.
Formato: |
Artigo em anais de congresso (ALICE) |
Enlaces: |
![](http://science-h.com/sh/assets/temas/umad/img/tema/globe.png)
In the past few years, improvements in the data acquisition technology have decreased the time interval of data gathering. Consequently, institutions have stored huge amounts of data such as climate time series and remote sensing images. Computational models to filter,…
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Fecha: |
2011-04-09 |
Recurso: |
Repositório Acesso Livre à Informação Científica da Embrapa (ALICE) |
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