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Registros recuperados : 28 | |
2. | | 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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3. | | 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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7. | | 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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8. | | 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. | | 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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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 Arroz e Feijão. |
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Registros recuperados : 28 | |
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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
24/01/2018 |
Data da última atualização: |
11/11/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
BÉGUÉ, A.; ARVOR, D.; BELLON, B.; BETBEDER, J.; ABELLEYRA, D. de; FERRAZ, R. P. D.; LEBOURGEOIS, V.; LELONG, C.; SIMÕES, M.; VERÓN, S. R. |
Afiliação: |
AGNÈS BÉGUÉ, CIRAD, UMR TETIS; DAMIEN ARVOR, CNRS; BEATRIZ BELLON, CIRAD; JULIE BETBEDER, CIRAD; DIEGO DE ABELLEYRA, INTA; RODRIGO PECANHA DEMONTE FERRAZ, CNPS; VALENTINE LEBOURGEOIS, CIRAD; CAMILLE LELONG, CIRAD; MARGARETH GONCALVES SIMOES, CNPS; SANTIAGO R. VÉRON, INTA; Universidad de Buenos Aires and CONICET. |
Título: |
Remote sensing and cropping practices: a review. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Remote Sensing, v. 10, n. 1, Jan. 2018. |
DOI: |
https://doi.org/10.3390/rs10010099 |
Idioma: |
Inglês |
Conteúdo: |
For agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issues. |
Palavras-Chave: |
Rotação. |
Thesagro: |
Irrigação; Plantio Direto. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171936/1/2018-001.pdf
|
Marc: |
LEADER 02112naa a2200277 a 4500 001 2086237 005 2021-11-11 008 2018 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/rs10010099$2DOI 100 1 $aBÉGUÉ, A. 245 $aRemote sensing and cropping practices$ba review.$h[electronic resource] 260 $c2018 520 $aFor agronomic, environmental, and economic reasons, the need for spatialized information about agricultural practices is expected to rapidly increase. In this context, we reviewed the literature on remote sensing for mapping cropping practices. The reviewed studies were grouped into three categories of practices: crop succession (crop rotation and fallowing), cropping pattern (single tree crop planting pattern, sequential cropping, and intercropping/agroforestry), and cropping techniques (irrigation, soil tillage, harvest and post-harvest practices, crop varieties, and agro-ecological infrastructures). We observed that the majority of the studies were exploratory investigations, tested on a local scale with a high dependence on ground data, and used only one type of remote sensing sensor. Furthermore, to be correctly implemented, most of the methods relied heavily on local knowledge on the management practices, the environment, and the biological material. These limitations point to future research directions, such as the use of land stratification, multi-sensor data combination, and expert knowledge-driven methods. Finally, the new spatial technologies, and particularly the Sentinel constellation, are expected to improve the monitoring of cropping practices in the challenging context of food security and better management of agro-environmental issues. 650 $aIrrigação 650 $aPlantio Direto 653 $aRotação 700 1 $aARVOR, D. 700 1 $aBELLON, B. 700 1 $aBETBEDER, J. 700 1 $aABELLEYRA, D. de 700 1 $aFERRAZ, R. P. D. 700 1 $aLEBOURGEOIS, V. 700 1 $aLELONG, C. 700 1 $aSIMÕES, M. 700 1 $aVERÓN, S. R. 773 $tRemote Sensing$gv. 10, n. 1, Jan. 2018.
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