Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/01/2013 |
Data da última atualização: |
08/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
GONÇALVES, R. R. V.; ZULLO JÚNIOR, J.; COLTRI, P. P.; ROMANI, L. A. S. |
Afiliação: |
Cepagri/Unicamp; Cepagri/Unicamp; Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA. |
Título: |
EVI's estimation to improve the monitoring of sugarcane using TRMM satellite data. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2012, Munich. Remote sensing for a dynamic earth: Proceedings. [S.l]: IEEE, 2012. |
Páginas: |
p. 6609-6612. |
Idioma: |
Inglês |
Conteúdo: |
This paper presents an analysis of relation between EVI and TRMM data to improve the monitoring of sugarcane production in south-central Brazil. As this region has a deficient network of ground-based meteorological stations, we proposed to use TRMM satellite data in order to complete lack of data. As both data from TRMM and meteorological ground-based stations presented a high correlation, as well as there are cross-correlation between precipitation and vegetation index data, we proposed a formula to estimate EVI values from TRMM precipitation series. Results indicate the potential of using medium spatial resolution satellite in agriculture specially to regional monitoring in a country of continental dimensions such as Brazil. |
Palavras-Chave: |
Índice de vegetação; Precipitação; Precipitation; Rendimento de cultivos; Séries temporais. |
Thesaurus Nal: |
Crop yield; Sugarcane; Time series analysis; Vegetation. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 01607nam a2200265 a 4500 001 1944256 005 2020-01-08 008 2012 bl uuuu u00u1 u #d 100 1 $aGONÇALVES, R. R. V. 245 $aEVI's estimation to improve the monitoring of sugarcane using TRMM satellite data.$h[electronic resource] 260 $aIn: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2012, Munich. Remote sensing for a dynamic earth: Proceedings. [S.l]: IEEE$c2012 300 $ap. 6609-6612. 520 $aThis paper presents an analysis of relation between EVI and TRMM data to improve the monitoring of sugarcane production in south-central Brazil. As this region has a deficient network of ground-based meteorological stations, we proposed to use TRMM satellite data in order to complete lack of data. As both data from TRMM and meteorological ground-based stations presented a high correlation, as well as there are cross-correlation between precipitation and vegetation index data, we proposed a formula to estimate EVI values from TRMM precipitation series. Results indicate the potential of using medium spatial resolution satellite in agriculture specially to regional monitoring in a country of continental dimensions such as Brazil. 650 $aCrop yield 650 $aSugarcane 650 $aTime series analysis 650 $aVegetation 653 $aÍndice de vegetação 653 $aPrecipitação 653 $aPrecipitation 653 $aRendimento de cultivos 653 $aSéries temporais 700 1 $aZULLO JÚNIOR, J. 700 1 $aCOLTRI, P. P. 700 1 $aROMANI, L. A. S.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |