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| Registros recuperados : 28 | |
| 2. |  | 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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| 5. | | MULIANGA, B.; BÉGUÉ, A.; SIMÕES, M.; CLOUVEL, P.; TODOROFF, P. Estimating potential soil erosion for environmental services in a sugarcane growing área ussing multisource remote sensing data. In: SPIE REMOTE SENSING, 4., 2013, Dresden. Remote sensing for agriculture, ecosystems, and hydrology XV: proceedings... Bellingham: SPIE, 2013. v. 8887. Ref. 88871W.| Biblioteca(s): Embrapa Solos. |
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| 10. | | 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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| 11. | | 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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| 18. | | BELLÓN, B.; BÉGUÉ, A.; LO SEEN, D.; LEBOURGEOIS, V.; EVANGELISTA, B. A.; SIMÕES, M.; FERRAZ, R. P. D. Improved regional-scale Brazilian cropping systems' mapping based on a semi-automatic object-based clustering approach. International Journal of Applied Earth Observation and Geoinformation, V. 68, p. 127-138, Jun. 2018.| Biblioteca(s): Embrapa Pesca e Aquicultura; Embrapa Solos. |
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| 19. | | KUCHLER, P. C.; SIMÕES, M.; BÉGUÉ, A.; MACHADO, P. L. O. de A.; FERRAZ, R. P. D.; MADARI, B. E.; FREITAS, P. L. de; MANZATTO, C. V. Monitoring Brazilian low-carbon agriculture plan: the potential of remote sensing to detect adoption of selected agricultural practices. In: EFITA WCCA CONGRESS, 2017, Montpellier. Conference proceedings. Montpellier: Efita, 2017. p. 169-170.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 20. | | KUCHLER, P. C.; SIMÕES, M.; BÉGUÉ, A.; MACHADO, P. L. O. de A.; FERRAZ, R. P. D.; MADARI, B. E.; FREITAS, P. L. de; MANZATTO, C. V. Monitoring Brazilian low-carbon agriculture plan: the potential of remote sensing to detect adoption of selected agricultural practices. In: EFITA WCCA CONGRESS, 2017, Montpellier. Conference proceedings. Montpellier: Efita, 2017. p. 169-170.| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 28 | |
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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: |
B - 1 |
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Autoria: |
ARVOR, D.; DUBREUIL, V.; SIMÕES, M.; Beguè, A. |
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Afiliação: |
DAMIEN ARVOR; VINCENT DUBREUIL; MARGARETH GONCALVES SIMOES, CNPS; AGNES BEGUÈ. |
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Título: |
Mapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
GeoJournal, v. 78, p. 833-850, 2013. |
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DOI: |
https://doi.org/10.1007/s10708-012-9469-3 |
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Idioma: |
Inglês |
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Conteúdo: |
The main pioneer frontier considered by geographers is the Amazonian pioneer frontier. The occupation of the Brazilian territory has been carried out through successive economic cycles. Currently, the expansion of soybean crops in Amazonia is considered as the last economic cycle involving new migrations to still unexplored areas. Mapping this frontier is necessary in order to better understand its drivers and think about efficient land use policies to struggle its progress. In this paper, we propose an innovative methodology for mapping the agricultural frontier in the Amazonian state of Mato Grosso (Brazil) using satellite data acquired during the 2000?2006 period. We assume that the frontier evolves through successive land-use stages such as wildlands, non-croplands, extensive croplands and intensive croplands areas. The transitions between two stages can then be monitored through land-use change analysis. A particular emphasis is given on three land-use transitions named ?deforestation?, ?economic? and ?intensification sub-frontiers?. In order to adapt this model for the use of remote sensing data, we defined (1) a relevant spatial scale corresponding to an agrarian locality, (2) relevant indices to qualify the land-use types and (3) rules applied on land-use types to define the frontier?s location. Our results highlight the dynamic of the agricultural frontier towards northern areas. We identified four main agricultural regions with different levels of agricultural intensification. We finally discuss these results with respect to governmental policies and economics for a better understanding of the frontier?s dynamic. MenosThe main pioneer frontier considered by geographers is the Amazonian pioneer frontier. The occupation of the Brazilian territory has been carried out through successive economic cycles. Currently, the expansion of soybean crops in Amazonia is considered as the last economic cycle involving new migrations to still unexplored areas. Mapping this frontier is necessary in order to better understand its drivers and think about efficient land use policies to struggle its progress. In this paper, we propose an innovative methodology for mapping the agricultural frontier in the Amazonian state of Mato Grosso (Brazil) using satellite data acquired during the 2000?2006 period. We assume that the frontier evolves through successive land-use stages such as wildlands, non-croplands, extensive croplands and intensive croplands areas. The transitions between two stages can then be monitored through land-use change analysis. A particular emphasis is given on three land-use transitions named ?deforestation?, ?economic? and ?intensification sub-frontiers?. In order to adapt this model for the use of remote sensing data, we defined (1) a relevant spatial scale corresponding to an agrarian locality, (2) relevant indices to qualify the land-use types and (3) rules applied on land-use types to define the frontier?s location. Our results highlight the dynamic of the agricultural frontier towards northern areas. We identified four main agricultural regions with different levels of agricultural inte... Mostrar Tudo |
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Palavras-Chave: |
Agricultural frontier; Crop expansion; Mato Grosso. |
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Thesagro: |
Sensoriamento Remoto. |
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Thesaurus NAL: |
Amazonia; Deforestation; Remote sensing; Sustainable agricultural intensification. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
Marc: |
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001 1979965
005 2021-09-20
008 2013 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10708-012-9469-3$2DOI
100 1 $aARVOR, D.
245 $aMapping and spatial analysis of the soybean agricultural frontier in Mato Grosso, Brazil, using remote sensing data.$h[electronic resource]
260 $c2013
520 $aThe main pioneer frontier considered by geographers is the Amazonian pioneer frontier. The occupation of the Brazilian territory has been carried out through successive economic cycles. Currently, the expansion of soybean crops in Amazonia is considered as the last economic cycle involving new migrations to still unexplored areas. Mapping this frontier is necessary in order to better understand its drivers and think about efficient land use policies to struggle its progress. In this paper, we propose an innovative methodology for mapping the agricultural frontier in the Amazonian state of Mato Grosso (Brazil) using satellite data acquired during the 2000?2006 period. We assume that the frontier evolves through successive land-use stages such as wildlands, non-croplands, extensive croplands and intensive croplands areas. The transitions between two stages can then be monitored through land-use change analysis. A particular emphasis is given on three land-use transitions named ?deforestation?, ?economic? and ?intensification sub-frontiers?. In order to adapt this model for the use of remote sensing data, we defined (1) a relevant spatial scale corresponding to an agrarian locality, (2) relevant indices to qualify the land-use types and (3) rules applied on land-use types to define the frontier?s location. Our results highlight the dynamic of the agricultural frontier towards northern areas. We identified four main agricultural regions with different levels of agricultural intensification. We finally discuss these results with respect to governmental policies and economics for a better understanding of the frontier?s dynamic.
650 $aAmazonia
650 $aDeforestation
650 $aRemote sensing
650 $aSustainable agricultural intensification
650 $aSensoriamento Remoto
653 $aAgricultural frontier
653 $aCrop expansion
653 $aMato Grosso
700 1 $aDUBREUIL, V.
700 1 $aSIMÕES, M.
700 1 $aBeguè, A.
773 $tGeoJournal$gv. 78, p. 833-850, 2013.
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