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| Registros recuperados : 33 | |
| 23. |  | 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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| 24. | | 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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| 26. | | ARVOR, D.; MEIRELLES, M. S. P.; VARGAS, R.; SKORUPA, L. A.; FIDALGO, E. C. C.; DUBREUIL, V.; BERROIR, J.-P. Monitoring land use changes around the indigenous lands of the Xingu basin in Mato Grosso, Brasil. In: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, Honolulu, HI. Proceedings... Danvers, MA: IEEE, 2010. p. 3190-3193.| Biblioteca(s): Embrapa Solos. |
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| 27. | | ARVOR, D.; DAHER, F. R. G.; BRIAND, D.; DUFOUR, S.; ROLLET, A.-J.; SIMÕES, M.; FERRAZ, R. P. D. Monitoring thirty years of small water reservoirs proliferation in the southern Brazilian Amazon with Landsat time series. ISPRS Journal of Photogrammetry and Remote Sensing, v. 145, pt. B, p. 225-237, Nov. 2018.| Biblioteca(s): Embrapa Solos. |
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| 28. | | KUCHLER, P. C.; SIMÕES, M.; FERRAZ, R. P. D.; ARVOR, D.; MACHADO, P. L. O. de A.; ROSA, M.; GAETANO, R.; BÉGUÉ, A. Monitoring complex integrated crop-livestock systems at regional scale in Brazil: a big earth observation data approach. Remote Sensing, v. 14, n. 7, 1648, 2022.| Biblioteca(s): Embrapa Arroz e Feijão; Embrapa Solos. |
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| 29. | | ARVOR, D.; MEIRELLES, M. S. P.; VARGAS, R.; SKORUPA, L. A.; FIDALGO, E. C. C.; DUBREUIL, V.; HERLIN, I.; BERROIR, J. Monitoring land use changes around the indigenous lands of the Xingu basin in Mato Grosso, Brazil. INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, Honolulu. Remote sensing: global vision for local action. Honolulu, 2010. Havaí, EUA, Nº TH3.L05.2, 4 p.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 30. | | BÉGUÉ, A.; ARVOR, D.; BELLON, B.; BETBEDER, J.; ABELLEYRA, D. de; FERRAZ, R. P. D.; LEBOURGEOIS, V.; LELONG, C.; SIMÕES, M.; VERÓN, S. R. Remote sensing and cropping practices: a review. Remote Sensing, v. 10, n. 1, Jan. 2018.| Biblioteca(s): Embrapa Solos. |
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| 31. | | SIMÕES, M.; FIDALGO, E. C. C.; PEDREIRA, B. da C. C. G.; MONTEIRO, R. R.; ARVOR, D.; SKORUPA, L. A.; CASTANHEIRA, M. V. e S. Evolução do desmatamento na região dos formadores do Rio Xingu, no Estado de Mato Grosso. Rio de Janeiro: Embrapa Solos, 2010. 30 p. il. color. (Embrapa Solos. Boletim de pesquisa e desenvolvimento, 170).| Biblioteca(s): Embrapa Solos. |
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| 32. | | BOURGOIN, C.; BETBEDER, J.; LE ROUX, R.; GOND, V.; OSZWALD, J.; ARVOR, D.; BAUDRY, J.; BOUSSARD, H.; LE CLECH, S.; FREITAS, L. J. M. de; DESSARD, H.; LÄDERACH, P.; REYMONDIN, L.; BLANC, L. Looking beyond forest cover: an analysis of landscape-scale predictors of forest degradation in the Brazilian Amazon. Environmental Research Letters, v. 16, n. 11, 114045, Nov. 2021.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 33. | | PICOLI, M. C. A.; CAMARA, G.; SANCHES, I.; SIMÕES, R.; CARVALHO, A.; MACIEL, A.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; ANTUNES, J. F. G.; BEGOTTI, R. A.; ARVOR, D.; ALMEIDA, C. Big earth observation time series analysis for monitoring Brazilian agriculture. ISPRS Journal of Photogrammetry and Remote Sensing, v. 145, part B, p. 328-339, Nov. 2018. Na publicação: Alexandre Coutinho, Julio Esquerdo, João Antunes.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 33 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
14/02/2014 |
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Data da última atualização: |
20/09/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
ARVOR, D.; DUBREUIL, V.; RONCHAIL, J.; SIMÕES, M.; FUNATSUF, B. M. |
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Afiliação: |
DAMIEN ARVOR; VINCENT DUBREUIL; JOSYANE RONCHAIL; MARGARETH GONCALVES SIMOES, CNPS; BEATRIZ M. FUNATSUF. |
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Título: |
Spatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil). |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
International Journal of Climatology, v. 34, n. 8, p. 2622-2633, Jun. 2014. |
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DOI: |
https://doi.org/10.1002/joc.3863 |
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Idioma: |
Inglês |
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Conteúdo: |
Assessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding the sustainability of the agricultural development model in the Southern Amazon. MenosAssessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding th... Mostrar Tudo |
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Palavras-Chave: |
Agricultural practices; Rainy season; Spatiotemporal variability; TRMM 3B42. |
|
Thesaurus NAL: |
Amazonia. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
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008 2014 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1002/joc.3863$2DOI
100 1 $aARVOR, D.
245 $aSpatial patterns of rainfall regimes related to levels of double cropping agriculture systems in Mato Grosso (Brazil).$h[electronic resource]
260 $c2014
520 $aAssessing the impact/adaptation of human activities on/to climate change is a key issue, especially in the tropics that concentrate major anthropogenic dynamics such as deforestation and nearly two-thirds of the planetary rainfall. However, this task is often made tough because human activities such as agricultural dynamics are usually analysed at local or regional scale whereas climate related studies are led at large to global scales due to a lack of reliable data, especially in the tropics. In this article we argue that the increased spatial resolution of remote sensing-based rainfall estimates enables assessing the spatiotemporal variability of rainfall regimes at regional and local scales, thus allowing fine analysis of the interactions with human activities. We processed Tropical Rainfall Measuring Mission (TRMM) 3B42 daily rainfall estimates over the state of Mato Grosso (southern Brazilian Amazon) for the 1998-2012 study period in order to compute rainfall metrics such as annual rainfall and duration, onset and end dates of the rainy season based on the Anomalous Accumulation methodology (at a 0.25 degrees spatial resolution). We then crossed these metrics with agricultural maps (produced at a 250m spatial resolution) and proved that the adoption of intensive agricultural practices such as double cropping systems is partly the result of a strategy to adapt practices to local climatic conditions. Finally, we discuss how such results raise important issues regarding the sustainability of the agricultural development model in the Southern Amazon.
650 $aAmazonia
653 $aAgricultural practices
653 $aRainy season
653 $aSpatiotemporal variability
653 $aTRMM 3B42
700 1 $aDUBREUIL, V.
700 1 $aRONCHAIL, J.
700 1 $aSIMÕES, M.
700 1 $aFUNATSUF, B. M.
773 $tInternational Journal of Climatology$gv. 34, n. 8, p. 2622-2633, Jun. 2014.
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