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| Registros recuperados : 393 | |
| 281. |  | 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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| 282. | | 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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| 283. | | 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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| 284. | | ROSA, A. H.; SIMÕES, M. L.; OLIVEIRA, L. C. de; ROCHA, J. C.; MARTIN NETO, L.; MILORI, D. M. B. P. Multimethod study of the degree of humidification of humic substances extrated from different tropical soil profiles in Brazil's Amazonian region. Geoderma: an international journal of soil science, Amsterdam, v. 127, n. 1-2, p. 1-10, July 2005. Disponível em: http://elsevier.com/locate/geoderma. Acesso em: 09 jan. 2006.| Biblioteca(s): Embrapa Instrumentação. |
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| 285. | | LEITE, F. L.; SIMOES, M. L.; OLIVEIRA NETO, M.; NASCENTE, P. A. P.; CONSTANTINO, C. J. L.; MATTOSO, L. H. C.; OLIVEIRA JUNIOR, O. N. A nanocarrier charge model for the transport in poly(o-alkoxyanilines). In: ENCONTRO DA SBPMAT, 10.; BRAZILIAN MRS MEETING, 10., 2011, Gramado. Resumos... Rio de Janeiro: SBPMat, 2011. não paginado.| Biblioteca(s): Embrapa Instrumentação. |
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| 286. | | 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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| 287. | | VARELA-ORTEGA, C.; KOK, K.; BLANCO, I.; HELFGOTT, A.; TOLEDO, M.; CLAVIJO, F.; LAZOS, E.; GERRITSEN, P.; MARTORANO, L.; SIMOES, M.; FERREIRA, S.; JUÁREZ, E. Robin: D3.1.2: A handbook to the participatory process in ROBIN: Development of methods for local stakeholder meetings. [S.l.]: ROBIN consortium, 2013. 154 p.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 288. | | BARBIERI, M. G.; YOKOO, M. J. I.; SIMÕES, M. da R. S.; GULIAS-GOMES, C. C.; FRAGA, A. B.; CARDOSO, F. F. Relação entre a pelagem e a contagem de carrapato em bovinos da raça Brangus-Ibagé. In: SIMPÓSIO DE INICIAÇÃO CIENTÍFICA DA EMBRAPA PECUÁRIA SUL, 6., 2016, Bagé. Resumos... Bagé: Embrapa Pecuária Sul, 2016. p. 33. Claudia Cristina Gulias Gomes, editora técnica.| Biblioteca(s): Embrapa Pecuária Sul. |
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| 289. | | FERRAZ, R. P. D.; PRADO, R. B.; SIMÕES, M.; FIDALGO, E. C. C.; BERGIER, I.; PARRON, L. M.; CAMPANHA, M. M.; WINCKLER, L. T. Serviços ecossistêmicos: relações com a agricultura. In: FERRAZ, R. P. D.; PRADO, R. B.; PARRON, L. M.; CAMPANHA, M. M. (Ed.). Marco referencial em serviços ecossistêmicos. Brasília, DF: Embrapa, 2019. cap. 4, p. 89-107.| Biblioteca(s): Embrapa Clima Temperado; Embrapa Florestas; Embrapa Milho e Sorgo; Embrapa Pantanal; Embrapa Solos. |
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| 290. | | PEREIRA, S. E. M.; MANZATTO, C. V.; SKORUPA, L. A.; PENTEADO, M. I. de O.; SIMÕES, M.; NOVAES, R. M. L.; OLIVEIRA, P. de. Prioritization of areas for Crop-Livestock-Forest Integration technology transfer. In: LATIN AMERICA AND CARIBBEAN ECOSYSTEM SERVICES PARTNERSHIP CONFERENCE, 2., 2018, Campinas. Book of abstracts... Campinas: Ecosystem Services Partnership (ESP), 2018.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 291. | | OLIVEIRA, M. N. S. de; SIMOES, M. O. M.; LOPES, P. S. N.; GOMES, I. A. C.; OLIVEIRA, M. R. de; GUSMAO, E.; RIBEIRO, L. M. Propriedades alelopaticas de jatobá. In: SIMPOSIO ECOLOGIA E BIODIVERSIDADE DO CERRADO, 2002, Brasilia, DF. Perspectivas e desafios para o seculo 21: [programa e resumos]. Brasilia: Embrapa Sede, 2002. p. 24.| Biblioteca(s): Embrapa Cerrados. |
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| 292. | | BALDOTTO, M. A.; CANELLAS, L. P.; CANELA, M. C.; SIMÕES, M. L.; MARTIN-NETO, L.; FONTES, M. P. F.; VELLOSO, A. C. X. Propriedades redox e grupos funcionais de ácidos húmicos isolados de adubos orgânicos. Revista brasileira de ciência do solo, Campinas, v. 31, p. 465-475, 2007.| Biblioteca(s): Embrapa Instrumentação. |
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| 293. | | SIMOES, M. L.; FERREIRA, J. A.; SEGNINI, A.; SILVA, W. T L da; BAYER, C.; MILORI, D. M. B. P.; MARTIN-NETO, L. Soil tillage system effects in the formation of Hydrophobic Sites in humic acids. In: MARTIN-NETO, L.; MILORI, D.M.B.P.; SILVA, W.T.L. (Ed.). Humic substances and soil and water environment: International Meeting of IHSS, 12. São Carlos : Embrapa Instrumentação Agropecuária, 2004. p. 677-680. CLASSIFICAÇÃO CDD: 630| Biblioteca(s): Embrapa Instrumentação. |
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| 294. | | SIMÕES, M. L.; SEGNINI, A.; FERREIRA, J. A.; SILVA, W. T. L. DA; MILORI, D. M. B. P.; MARTIN-NETO, L.; BAYER, C. Soil tillage system effects in the formation of hydrophobic sites in humic acids. In: INTERNATIONAL MEETING OF INTERNATIONAL HUMIC SUBSTANCES SOCIETY. -- IHSS, 12, São Pedro, SP, 2004. Humic substances and soil and water environment. Abstracts...[São Carlos], SP: Embrapa Instrumentação Agropecuária, 2004. p. 85.| Biblioteca(s): Embrapa Instrumentação. |
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| 295. | | SIMÕES, M. L.; FERREIRA, J. A.; SILVA, W. T. L. da; MILORI, D. M. B. P.; COSTA FILHO, A. J. da; NASCIMENTO, O. R.; MARTIN-NETO, L. Study of the conformational arrangement of humic substances using spin labeling. In: FRIMMEL, F. H.; ABBT-BRAUN, G. (Ed.). MEETING OF THE INTERNATIONAL HUMIC SUBSTANCES SOCIETY, 13TH ., 2006, Karlsruhe. Humic substances - Linking structure to functions. Proceedings... [S. l.]: IHSS, 2006. p. 289-292.| Biblioteca(s): Embrapa Instrumentação. |
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| 297. | | SANTOS, L. M. dos; SIMÕES, M. L.; SILVA, W. T. L. da; MILORI, D. M. B. P.; MELO, W. J. de; MARTIN-NETO, L. Spectroscopic studies of tropical soil organic matter under sewage sludge application. In: FRIMMEL, F. H.; ABBT-BRAUN, G. (Ed.). MEETING OF THE INTERNATIONAL HUMIC SUBSTANCES SOCIETY, 13TH ., 2006, Karlsruhe. Humic substances - Linking structure to functions. Proceedings... [S. l.]: IHSS, 2006. p. 521-524.| Biblioteca(s): Embrapa Instrumentação. |
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| 298. | | NOVAES, A. P. de; SIMÕES, M. L.; INAMASU, R. Y.; JESUS, E. A. P. de; MARTIN-NETO, L.; SANTIAGO, G.; SILVA, W. T. L. da. Saneamento básico na área rural. In: SPADOTTO, C.A.; RIBEIRO, W.C. (Ed.). Gestão de resíduos na agricultura e agroindústria. Botucatu: FEPAF, 2006. 262-269.| Biblioteca(s): Embrapa Instrumentação. |
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| 300. | | SIMÕES, M. G.; FERRAZ, R. P. D.; BÉGUÉ, A.; BELLÓN, B.; FREITAS, P. L.; MACHADO, P. L. O. A.; NEVES, M. L.; SKORUPA, L. Satellite based multi-scale methods to support governance of Brazil's low-carbon agriculture (ABC Plan). In: GEOBIA, 6., 2016, Enschede. Solutions & synergies: conference proceedings. Enschede: University of Twente, 2016.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 393 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Solos. |
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Data corrente: |
04/04/2022 |
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Data da última atualização: |
05/04/2022 |
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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: |
KUCHLER, P. C.; SIMÕES, M.; FERRAZ, R. P. D.; ARVOR, D.; MACHADO, P. L. O. de A.; ROSA, M.; GAETANO, R.; BÉGUÉ, A. |
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Afiliação: |
PATRICK CALVANO KUCHLER, UERJ; MARGARETH GONCALVES SIMOES, CNPS; RODRIGO PECANHA DEMONTE FERRAZ, CNPS; DAMIEN ARVOR, UNIVERSITÉ RENNES; PEDRO LUIZ OLIVEIRA DE A MACHADO, CNPAF; MARCOS ROSA, UNIVERSIDADE ESTADUAL DE FEIRA DE SANTANA; RAFFAELE GAETANO, CIRAD; AGNÈS BÉGUÉ, CIRAD. |
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Título: |
Monitoring complex integrated crop-livestock systems at regional scale in Brazil: a big earth observation data approach. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Remote Sensing, v. 14, n. 7, 1648, 2022. |
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DOI: |
https://doi.org/10.3390/rs14071648 |
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Idioma: |
Inglês |
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Conteúdo: |
Due to different combinations of agriculture, livestock and forestry managed by rotation, succession and intercropping practices, integrated agriculture production systems such as integrated crop-livestock systems (iCL) constitute a very complex target and a challenge for automatic mapping of cropping practices based on remote sensing data. The overall objective of this study was to develop a classification strategy for the annual mapping of integrated Crop-Livestock systems (iCL) at a regional scale. This strategy was designed and tested in the six agro-climatic regions of Mato Grosso, the largest Brazilian soybean producer state, using MODIS satellite time-series images acquired between 2012 and 2019, ground data with heterogeneous distribution in space and time and a Random Forest classifier. The results showed that: 1. the use of unbalanced training samples with a class composition close to the real one was the right classifier training strategy; 2. the use of a single training database (pooling samples from different years and regions) to classify each region and year individually proved to be robust enough to provide similar classification accuracies in comparison to those based on the use of a database acquired for each region and for each year. The final hierarchical classification overall accuracy was 0.89 for Level 1, the cropping pattern level (single and double crops DC); 0.84 for Level 2, the DC category level (integrated system iCL soy-pasture/brachiaria, soy-cotton and soy-cereal); 0.77 for Level 3, the iCL level (iCL1 soy-pasture and iCL2 soy-pasture mixed with corn). The F-scores for DC, iCL and iCL1 cropping systems presented high accuracy (0.89, 0.85 and 0.84), while iCL2 was more difficult to classify (0.63). This approach will next be applied across the entire Brazilian soybean corridor, leading to an operational tool for monitoring the adoption of sustainable intensification practices recognized by Brazil's Agriculture Low Carbon Plan (ABC PLAN). MenosDue to different combinations of agriculture, livestock and forestry managed by rotation, succession and intercropping practices, integrated agriculture production systems such as integrated crop-livestock systems (iCL) constitute a very complex target and a challenge for automatic mapping of cropping practices based on remote sensing data. The overall objective of this study was to develop a classification strategy for the annual mapping of integrated Crop-Livestock systems (iCL) at a regional scale. This strategy was designed and tested in the six agro-climatic regions of Mato Grosso, the largest Brazilian soybean producer state, using MODIS satellite time-series images acquired between 2012 and 2019, ground data with heterogeneous distribution in space and time and a Random Forest classifier. The results showed that: 1. the use of unbalanced training samples with a class composition close to the real one was the right classifier training strategy; 2. the use of a single training database (pooling samples from different years and regions) to classify each region and year individually proved to be robust enough to provide similar classification accuracies in comparison to those based on the use of a database acquired for each region and for each year. The final hierarchical classification overall accuracy was 0.89 for Level 1, the cropping pattern level (single and double crops DC); 0.84 for Level 2, the DC category level (integrated system iCL soy-pasture/brachiaria, soy-c... Mostrar Tudo |
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Palavras-Chave: |
Big data; Hierarchical classification; Machine learning; MODIS; Samples balancing; Satellite image time series; Training sample designs. |
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Thesagro: |
Agricultura Sustentável. |
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Thesaurus NAL: |
Cropping systems; Double cropping; Sustainable agriculture. |
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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/doc/1141783/1/Monitoring-complex-integrated-crop-livestock-systems-at-regional-scale-in-Brazil-2022.pdf
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Marc: |
LEADER 03062naa a2200349 a 4500
001 2141783
005 2022-04-05
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/rs14071648$2DOI
100 1 $aKUCHLER, P. C.
245 $aMonitoring complex integrated crop-livestock systems at regional scale in Brazil$ba big earth observation data approach.$h[electronic resource]
260 $c2022
520 $aDue to different combinations of agriculture, livestock and forestry managed by rotation, succession and intercropping practices, integrated agriculture production systems such as integrated crop-livestock systems (iCL) constitute a very complex target and a challenge for automatic mapping of cropping practices based on remote sensing data. The overall objective of this study was to develop a classification strategy for the annual mapping of integrated Crop-Livestock systems (iCL) at a regional scale. This strategy was designed and tested in the six agro-climatic regions of Mato Grosso, the largest Brazilian soybean producer state, using MODIS satellite time-series images acquired between 2012 and 2019, ground data with heterogeneous distribution in space and time and a Random Forest classifier. The results showed that: 1. the use of unbalanced training samples with a class composition close to the real one was the right classifier training strategy; 2. the use of a single training database (pooling samples from different years and regions) to classify each region and year individually proved to be robust enough to provide similar classification accuracies in comparison to those based on the use of a database acquired for each region and for each year. The final hierarchical classification overall accuracy was 0.89 for Level 1, the cropping pattern level (single and double crops DC); 0.84 for Level 2, the DC category level (integrated system iCL soy-pasture/brachiaria, soy-cotton and soy-cereal); 0.77 for Level 3, the iCL level (iCL1 soy-pasture and iCL2 soy-pasture mixed with corn). The F-scores for DC, iCL and iCL1 cropping systems presented high accuracy (0.89, 0.85 and 0.84), while iCL2 was more difficult to classify (0.63). This approach will next be applied across the entire Brazilian soybean corridor, leading to an operational tool for monitoring the adoption of sustainable intensification practices recognized by Brazil's Agriculture Low Carbon Plan (ABC PLAN).
650 $aCropping systems
650 $aDouble cropping
650 $aSustainable agriculture
650 $aAgricultura Sustentável
653 $aBig data
653 $aHierarchical classification
653 $aMachine learning
653 $aMODIS
653 $aSamples balancing
653 $aSatellite image time series
653 $aTraining sample designs
700 1 $aSIMÕES, M.
700 1 $aFERRAZ, R. P. D.
700 1 $aARVOR, D.
700 1 $aMACHADO, P. L. O. de A.
700 1 $aROSA, M.
700 1 $aGAETANO, R.
700 1 $aBÉGUÉ, A.
773 $tRemote Sensing$gv. 14, n. 7, 1648, 2022.
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