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| Registros recuperados : 33 | |
| 7. |  | JONATHAN, M.; ARVOR, D.; MEIRELLES, M. S. P.; DUBREUIL, V. Field-oriented assessment of agricultural crops through temporal segmentation of modis VI data. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, pt. B7, p. 921-926, 2008. Edition of Proceedings of XXI ISPRS Congress, Beijing, Jul. 2008.| Biblioteca(s): Embrapa Solos. |
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| 8. | | ARVOR, D.; JONATHAN, M.; MEIRELLES, M. S. P.; DUBREUIL, V. Detecting outliers and asserting consistency in agriculture ground truth information by using temporal VI data from modis. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, v. 37, pt. B7, p. 1031-1036, 2008. Edition of Proceedings of XXI ISPRS Congress, Beijing, Jul. 2008.| Biblioteca(s): Embrapa Solos. |
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| 9. | | BÉGUÉ, A.; ARVOR, D.; LELONG, C.; VINTROU, E.; SIMÕES, M. Agricultural systems studies using remote sensing. In: TENKABAIL, P. S. (Ed.). Land resources monitoring, modeling, and mapping with remote sensing. Boca Raton: CRC Press, 2015. cap. 5, p. 113-130.| Biblioteca(s): Embrapa Solos. |
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| 13. | | KUCHLER, P. C.; BÉGUÉ, A.; SIMÕES, M.; GAETANO, R.; ARVOR, D.; FERRAZ, R. P. D. Assessing the optimal preprocessing steps of MODIS time series to map cropping systems in Mato Grosso, Brazil. International Journal of Applied Earth Observation and Geoinformation, v. 92, 102150, Oct. 2020.| Biblioteca(s): Embrapa Solos. |
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| 14. | | ARVOR, D.; SAN'TANNA NETO, J. L.; DUBREUIL, V.; ALMEIDA, I. R. de; MEIRELLES, M. S. P. Análise dos perfis temporais de EVI/MODIS para o monitoramento da cultura da soja no Estado de Mato Grosso, Brasil. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO., 13., 2007, Florianópolis/SC. [São José dos Campos: INPE, 2007]. p. 51-58.| Biblioteca(s): Embrapa Soja. |
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| 16. | | ARVOR, D.; JONATHAN, M.; MEIRELLES, M. S. P.; DUBREUIL, V.; DURIEUX, L. Classification of MODIS EVI time series for crop mapping in the state of Mato Grosso, Brazil. International Journal of Remote Sensing, v. 32, n. 22, p. 7847-7871, 2011.| Biblioteca(s): Embrapa Solos. |
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| 17. | | ARVOR, D.; JONATHAN, M.; MEIRELLES, M. S. P.; DUBREUIL, V.; LECERF, R. Comparison of multitemporal MODIS-EVI smoothing algorithms and its contribution to crop monitoring. In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2008, Boston. Proceedings... Danvers, MA: IEEE, 2008. v. 2, p. 958-961.| Biblioteca(s): Embrapa Solos. |
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| 18. | | MEIRELLES, M. S. P.; FREITAS, P. L. de; FERRAZ, R. P. D.; ARVOR, D.; DUBREUIL, V. Avaliação da dinâmica de uso da terra por meio de dados de sensores remotos para uma agricultura sustentável. In: LEITE, L. F. C.; MACIEL, G. A.; ARAÚJO, A. S. F. de (Ed.). Agricultura conservacionista no Brasil. Brasília, DF: Embrapa, 2014. pt 5, cap. 6, p. 489-511.| Biblioteca(s): Embrapa Solos. |
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| 19. | | ARVOR, D.; MEIRELLES, M. S. P.; DUBREUIL, V.; BEGUÈ, A.; SHIMABUKURO, Y. E. Analyzing the agricultural transition in Mato Grosso, Brazil, using satellite-derived indices. Applied Geography, v. 32, p. 702-713, 2011.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 33 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
26/01/2010 |
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Data da última atualização: |
25/03/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
ARVOR, D.; DUBREUIL, V.; MEIRELLES, M. S. P. |
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Afiliação: |
DAMIEN ARVOR, UNIVERSIDADE DE RENNES; VINCENT DUBREUIL, UNIVERSIDADE DE RENNES; MARGARETH SIMOES P MEIRELLES, CNPS. |
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Título: |
Análise da intensificação da agricultura no Mato Grosso à partir de dados TRMM 3B42 e de series temporais MODIS/EVI. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: SIMPOSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. p. 91-98. |
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Idioma: |
Português |
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Conteúdo: |
The Brazilian state of Mato Grosso (southern Amazonia) is one of the main national producer of agricultural products such as soybean, cotton and corn. After having based its development on the expansion of arable lands through deforestation for thrity years, the agricultural sector is now increasing its productive potential through the adoption of new agricultural management practices such as double cropping systems. Remote sensing tehcniques such as classification of MODIS/TERRA EVI times series are efficient tools for monitoring this phenomena. It appears that double cropping systems with wo comercial crops (soybean and corn or soybean and cotton) improved from 6% to 26% of the total cultivated area in Mato Grosso between 2000- 2001 and 2006-2007 harvests. However, when studying at a county level, those rates vary from 1 to more than 50%, attesting that it exists a strong spatial variability concerning the application of this agricultural management practice. It is argued that this rate is in part drove by the importance of total agricultural areas in a place and by pluviometric conditions. This hypothesis is confirmed by crossing MODIS data with rainfall data. These data are issue from the TRMM 3B42 products, which are computed into parameters such as duration, onset, end of the rain season and total annual rainfalls. Those parameters are found to explain 42% of the spatial variability of the application of double cropping systems in Mato Grosso. O objetivo deste artigo é de mapear as áreas cultivadas com duas safras e de estimar se o grau de intensificação encontrado em uma área pode ser relacionado às condições pluviométricas. MenosThe Brazilian state of Mato Grosso (southern Amazonia) is one of the main national producer of agricultural products such as soybean, cotton and corn. After having based its development on the expansion of arable lands through deforestation for thrity years, the agricultural sector is now increasing its productive potential through the adoption of new agricultural management practices such as double cropping systems. Remote sensing tehcniques such as classification of MODIS/TERRA EVI times series are efficient tools for monitoring this phenomena. It appears that double cropping systems with wo comercial crops (soybean and corn or soybean and cotton) improved from 6% to 26% of the total cultivated area in Mato Grosso between 2000- 2001 and 2006-2007 harvests. However, when studying at a county level, those rates vary from 1 to more than 50%, attesting that it exists a strong spatial variability concerning the application of this agricultural management practice. It is argued that this rate is in part drove by the importance of total agricultural areas in a place and by pluviometric conditions. This hypothesis is confirmed by crossing MODIS data with rainfall data. These data are issue from the TRMM 3B42 products, which are computed into parameters such as duration, onset, end of the rain season and total annual rainfalls. Those parameters are found to explain 42% of the spatial variability of the application of double cropping systems in Mato Grosso. O objetivo deste artigo é... Mostrar Tudo |
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Palavras-Chave: |
Intensificação da agricultura; Mato Grosso; MODIS; TRMM. |
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Thesagro: |
Soja. |
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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/184935/1/91-98.pdf
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Marc: |
LEADER 02341nam a2200193 a 4500
001 1631135
005 2022-03-25
008 2009 bl uuuu u00u1 u #d
100 1 $aARVOR, D.
245 $aAnálise da intensificação da agricultura no Mato Grosso à partir de dados TRMM 3B42 e de series temporais MODIS/EVI.$h[electronic resource]
260 $aIn: SIMPOSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 14., 2009, Natal. Anais... São José dos Campos: INPE, 2009. p. 91-98.$c2009
520 $aThe Brazilian state of Mato Grosso (southern Amazonia) is one of the main national producer of agricultural products such as soybean, cotton and corn. After having based its development on the expansion of arable lands through deforestation for thrity years, the agricultural sector is now increasing its productive potential through the adoption of new agricultural management practices such as double cropping systems. Remote sensing tehcniques such as classification of MODIS/TERRA EVI times series are efficient tools for monitoring this phenomena. It appears that double cropping systems with wo comercial crops (soybean and corn or soybean and cotton) improved from 6% to 26% of the total cultivated area in Mato Grosso between 2000- 2001 and 2006-2007 harvests. However, when studying at a county level, those rates vary from 1 to more than 50%, attesting that it exists a strong spatial variability concerning the application of this agricultural management practice. It is argued that this rate is in part drove by the importance of total agricultural areas in a place and by pluviometric conditions. This hypothesis is confirmed by crossing MODIS data with rainfall data. These data are issue from the TRMM 3B42 products, which are computed into parameters such as duration, onset, end of the rain season and total annual rainfalls. Those parameters are found to explain 42% of the spatial variability of the application of double cropping systems in Mato Grosso. O objetivo deste artigo é de mapear as áreas cultivadas com duas safras e de estimar se o grau de intensificação encontrado em uma área pode ser relacionado às condições pluviométricas.
650 $aSoja
653 $aIntensificação da agricultura
653 $aMato Grosso
653 $aMODIS
653 $aTRMM
700 1 $aDUBREUIL, V.
700 1 $aMEIRELLES, M. S. P.
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