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Registro Completo |
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
24/04/2009 |
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Data da última atualização: |
12/02/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
VICTORIA, D. D. C.; OLIVEIRA, A. F. D.; GREGO, C. R. |
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Afiliação: |
DANIEL DE CASTRO VICTORIA, CNPM; ARYEVERTON FORTES DE OLIVEIRA, CNPM; CELIA REGINA GREGO, CNPM. |
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Título: |
Análise harmônica de séries temporais de imagens NDVI/MODIS para discriminação de coberturas vegetais. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., (SBSR), 2009, Natal. Anais... São José dos Campos: INPE, 2009. |
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Páginas: |
p. 1589-1596. |
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ISBN: |
978-85-17-00044-7 |
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Idioma: |
Português |
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Conteúdo: |
The high temporal resolution information obtained with the Moderate Resolution Imaging Spectroradiometer (MODIS) is of great value when it comes to monitoring changes in Earth surface. Since several land cover types presents a distinguished temporal pattern in it?s spectral response, MODIS high temporal resolution can be used to identify such covers. This is specially true when observing the Normalized Difference Vegetation Index (NDVI) of agricultural land covers. Fourier transformations decomposes any signal represented in time to a frequency domain. Applying this transformation in a NDVI time-series results in parameters that describe how this signal behaves along several time frequencies (annual, semestral, etc). A strong annual signal indicates a land cover with a long growth cycle, such as sugar-cane (1 to 1.5 years) while stronger semestral signals are typical of other agricultural crops (soy, corn, beans). Also, observing the annual and semestral signals, it?s possible to distinguish agricultural areas with one or two crop cycles per year. A computational routine, independent of any commercial remote sensing package, has been developed in order to calculate Fourier amplitude and phase images of a NDVI time series. Applying such analysis over a diverse agricultural region in São Paulo state (Ribeirão Preto) indicates that long and short growth period crops are easily distinguished (sugar-cane and annual crops such as soy, corn, beans). Silvicultural areas are also easily distinguished due to their long growth period (5 years) however, these are confused with natural forests. A longer time series analysis could easily solve this. MenosThe high temporal resolution information obtained with the Moderate Resolution Imaging Spectroradiometer (MODIS) is of great value when it comes to monitoring changes in Earth surface. Since several land cover types presents a distinguished temporal pattern in it?s spectral response, MODIS high temporal resolution can be used to identify such covers. This is specially true when observing the Normalized Difference Vegetation Index (NDVI) of agricultural land covers. Fourier transformations decomposes any signal represented in time to a frequency domain. Applying this transformation in a NDVI time-series results in parameters that describe how this signal behaves along several time frequencies (annual, semestral, etc). A strong annual signal indicates a land cover with a long growth cycle, such as sugar-cane (1 to 1.5 years) while stronger semestral signals are typical of other agricultural crops (soy, corn, beans). Also, observing the annual and semestral signals, it?s possible to distinguish agricultural areas with one or two crop cycles per year. A computational routine, independent of any commercial remote sensing package, has been developed in order to calculate Fourier amplitude and phase images of a NDVI time series. Applying such analysis over a diverse agricultural region in São Paulo state (Ribeirão Preto) indicates that long and short growth period crops are easily distinguished (sugar-cane and annual crops such as soy, corn, beans). Silvicultural areas are also eas... Mostrar Tudo |
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Palavras-Chave: |
Fourier; MODIS; NDVI; Series temporais; Time series. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/210705/1/2391.pdf
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Marc: |
LEADER 02354nam a2200217 a 4500
001 1032122
005 2020-02-12
008 2009 bl uuuu u00u1 u #d
020 $a978-85-17-00044-7
100 1 $aVICTORIA, D. D. C.
245 $aAnálise harmônica de séries temporais de imagens NDVI/MODIS para discriminação de coberturas vegetais.
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., (SBSR), 2009, Natal. Anais... São José dos Campos: INPE$c2009
300 $ap. 1589-1596.
520 $aThe high temporal resolution information obtained with the Moderate Resolution Imaging Spectroradiometer (MODIS) is of great value when it comes to monitoring changes in Earth surface. Since several land cover types presents a distinguished temporal pattern in it?s spectral response, MODIS high temporal resolution can be used to identify such covers. This is specially true when observing the Normalized Difference Vegetation Index (NDVI) of agricultural land covers. Fourier transformations decomposes any signal represented in time to a frequency domain. Applying this transformation in a NDVI time-series results in parameters that describe how this signal behaves along several time frequencies (annual, semestral, etc). A strong annual signal indicates a land cover with a long growth cycle, such as sugar-cane (1 to 1.5 years) while stronger semestral signals are typical of other agricultural crops (soy, corn, beans). Also, observing the annual and semestral signals, it?s possible to distinguish agricultural areas with one or two crop cycles per year. A computational routine, independent of any commercial remote sensing package, has been developed in order to calculate Fourier amplitude and phase images of a NDVI time series. Applying such analysis over a diverse agricultural region in São Paulo state (Ribeirão Preto) indicates that long and short growth period crops are easily distinguished (sugar-cane and annual crops such as soy, corn, beans). Silvicultural areas are also easily distinguished due to their long growth period (5 years) however, these are confused with natural forests. A longer time series analysis could easily solve this.
653 $aFourier
653 $aMODIS
653 $aNDVI
653 $aSeries temporais
653 $aTime series
700 1 $aOLIVEIRA, A. F. D.
700 1 $aGREGO, C. R.
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Registro original: |
Embrapa Territorial (CNPM) |
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| Registros recuperados : 279 | |
| 62. |  | RODRIGUES, C. A. G.; GREGO, C. R.; VALLADARES, G. S.; TORRESAN, F. E.; QUARTAROLI, C. F. Fertilidade do solo de pastagens com Brachiaria sob diferentes níveis de degradação em Guararapes (SP). In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 33., 2011, Uberlândia, MG. Anais... Uberlândia, MG: CBCS, 2011. 4 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
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| 65. | | GREGO, C. R.; RABELLO, L. M.; BRANCALIÃO, S. R.; VIEIRA, S. R.; OLIVEIRA, A. DE. Geoestatística aplicada a condutividade elétrica do solo e altitude do solo cultivado com cana-de-açúcar. In: INAMASU, R. Y.; NAIME, J. de M.; RESENDE, A. V. de; BASSOI, L. H.; BERNARDI, A. de C. (Ed.). Agricultura de precisão: um novo olhar. São Carlos, SP: Embrapa Instrumentação, 2011. p. 245-248| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Instrumentação; Embrapa Territorial. |
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| 71. | | MIGUEL, F. R. M.; VIEIRA, S. R.; CHIBA, M. K.; GREGO, C. R.; SIQUEIRA, G. M. Correlação espacial entre a produtividade da cana-de-açúcar e atributos químicos do solo. In: CONGRESSO BRASILEIRO DE AGRICULTURA DE PRECISÃO, 4., 2010. Ribeirão Preto, SP. Anais... Ribeirão Preto, SP: ABEA, 2010. 4 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
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| 79. | | MANGABEIRA, J. A. de C.; ROMEIRO, A. R.; GREGO, C. R. Serviços ecossistêmicos para a agricultura: o papel das matas nativas em bloco no nível da paisagem. In: CONGRESSO DE ECOLOGIA DE PAISAGENS, 2.; IALE-BR, 2; SIMPÓSIO SCGIS-BR, 2., 2012, Salvador, BA. Resumos... Salvador, BA: IALE-BR, 2012. 1 p.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Territorial. |
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| Registros recuperados : 279 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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