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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
08/02/2022 |
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Data da última atualização: |
11/03/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
KUCHLER, P. C.; SIMÕES, M.; BEGUE, A.; FERRAZ, R. P. D. |
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Afiliação: |
PATRICK CALVANO KUCHLER, UERJ; MARGARETH GONCALVES SIMOES, CNPS; AGNÈS BEGUE, CIRAD; RODRIGO PECANHA DEMONTE FERRAZ, CNPS. |
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Título: |
Big earth observation data and machine learning for mapping crop-livestock integrated system in Brazil. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. WCCLF 2021 proceedings. Brasília, DF: Embrapa, 2021. p. 904-909. WCCLF 2021. Evento online. |
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Idioma: |
Inglês |
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Conteúdo: |
The adoption of crop-livestock (iCL) integrated systems has been pointed out as an important strategy for increasing production based on sustainable intensification of land use in Brazil. Mapping and monitoring the iCL areas would allow us to know the expansion rates and the adoption level of the integrated system, being an important instrument for public policy management. However, due to the time-space variability from integrated production systems, developing methods based on remote sensing remains a major challenge. In this sense, this work discusses the application of Big Data and machine learning concepts in Earth Observation Data as a strategy to compose a methodology for monitoring the iCL in Brazil. We tested the capacity of the Random Forest (RF) classifier applied to MODIS time series to iCL detection in the Mato Grosso State, Brazil. For this, we evaluated the classification accuracy for the years between 2012 and 2019, totaling 3,864 images processed. The overall accuracy founded was between 0.77 and 0.89 and an fscore average of 0.85 was found for the iCL class. The generated maps showed a trajectory of sustainable intensification, with the expansion of the iCL area from 1,100,000 ha in 2012/2013 to 2,597,000 ha in 2018/2019, an increase of 135%. The results indicate that the use of the RF classification technique with MODIS times series has great potential to compose an iCL monitoring methodology, requiring parallel and cloud computing applied to advanced algorithms. MenosThe adoption of crop-livestock (iCL) integrated systems has been pointed out as an important strategy for increasing production based on sustainable intensification of land use in Brazil. Mapping and monitoring the iCL areas would allow us to know the expansion rates and the adoption level of the integrated system, being an important instrument for public policy management. However, due to the time-space variability from integrated production systems, developing methods based on remote sensing remains a major challenge. In this sense, this work discusses the application of Big Data and machine learning concepts in Earth Observation Data as a strategy to compose a methodology for monitoring the iCL in Brazil. We tested the capacity of the Random Forest (RF) classifier applied to MODIS time series to iCL detection in the Mato Grosso State, Brazil. For this, we evaluated the classification accuracy for the years between 2012 and 2019, totaling 3,864 images processed. The overall accuracy founded was between 0.77 and 0.89 and an fscore average of 0.85 was found for the iCL class. The generated maps showed a trajectory of sustainable intensification, with the expansion of the iCL area from 1,100,000 ha in 2012/2013 to 2,597,000 ha in 2018/2019, an increase of 135%. The results indicate that the use of the RF classification technique with MODIS times series has great potential to compose an iCL monitoring methodology, requiring parallel and cloud computing applied to advanced algo... Mostrar Tudo |
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Palavras-Chave: |
Machine learning; MODIS time series. |
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Thesagro: |
Agricultura Sustentável. |
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Thesaurus Nal: |
Sustainable agricultural intensification. |
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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/231050/1/Big-earth-observation-data-and-machine-learning-2021.pdf
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Marc: |
LEADER 02262nam a2200193 a 4500
001 2139789
005 2022-03-11
008 2021 bl uuuu u00u1 u #d
100 1 $aKUCHLER, P. C.
245 $aBig earth observation data and machine learning for mapping crop-livestock integrated system in Brazil.$h[electronic resource]
260 $aIn: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. WCCLF 2021 proceedings. Brasília, DF: Embrapa, 2021. p. 904-909. WCCLF 2021. Evento online.$c2021
520 $aThe adoption of crop-livestock (iCL) integrated systems has been pointed out as an important strategy for increasing production based on sustainable intensification of land use in Brazil. Mapping and monitoring the iCL areas would allow us to know the expansion rates and the adoption level of the integrated system, being an important instrument for public policy management. However, due to the time-space variability from integrated production systems, developing methods based on remote sensing remains a major challenge. In this sense, this work discusses the application of Big Data and machine learning concepts in Earth Observation Data as a strategy to compose a methodology for monitoring the iCL in Brazil. We tested the capacity of the Random Forest (RF) classifier applied to MODIS time series to iCL detection in the Mato Grosso State, Brazil. For this, we evaluated the classification accuracy for the years between 2012 and 2019, totaling 3,864 images processed. The overall accuracy founded was between 0.77 and 0.89 and an fscore average of 0.85 was found for the iCL class. The generated maps showed a trajectory of sustainable intensification, with the expansion of the iCL area from 1,100,000 ha in 2012/2013 to 2,597,000 ha in 2018/2019, an increase of 135%. The results indicate that the use of the RF classification technique with MODIS times series has great potential to compose an iCL monitoring methodology, requiring parallel and cloud computing applied to advanced algorithms.
650 $aSustainable agricultural intensification
650 $aAgricultura Sustentável
653 $aMachine learning
653 $aMODIS time series
700 1 $aSIMÕES, M.
700 1 $aBEGUE, A.
700 1 $aFERRAZ, R. P. D.
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Registro original: |
Embrapa Solos (CNPS) |
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| Registros recuperados : 183 | |
| 41. |  | FERRAZ, R. A.; LEONEL, S.; SEGANTINI, D. M.; ANTUNES, L. E. C. Fructificación efectiva de los cultivares de durazno Dourãdo, Kampai y Rubimel, en la región de Botucatu, São Pao, Brasil. In: ENCUENTRO TRES FRONTERAS, 4.; ENCUENTRO INTERNACIONAL SIN FRONTERAS EN EL CULTIVO DE DURAZNERO, 2., 2011, Mendonza. [Anais...]. Mendonza: INTA, 2011.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 42. | | FIGUEIREDO, S. I. S.; ARAÚJO, L. B. M.; FERRAZ, R. H. S.; ARAÚJO, E. G. Bases ósseas e musculares do corte comercial de pescoço de jacaré-do-pantanal (Caiman yacare Daudin, 1802). Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 36, n. 2, p. 94-102, fev. 2016.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 43. | | FERRAZ, R. A.; LEONEL, S.; SEGANTINI, D. M.; ANTUNES, L. E. C. Brotación en yemas florales de los cultivares de duraznos Dourãdo, Kampai y Rubimel, en la región de Botucatu, Sao Pao, Brasil. In: ENCUENTRO TRES FRONTERAS, 4.; ENCUENTRO INTERNACIONAL SIN FRONTERAS EN EL CULTIVO DE DURAZNERO, 2., 2011, Mendonza. [Anais...]. Mendonza: INTA, 2011.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Clima Temperado. |
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| 46. | | SIMÕES, M.; FERRAZ, R.; VERWEIJ, P.; ALVEZ, A.; EQUIHUAL, M.; MAQUEO, O. Integridade ecossistêmica da Amazônia brasileira através do uso de redes bayesianas e suas relações com os serviços ecossistêmicos. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 5240-5247.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 47. | | SIMÕES, M.; FERRAZ, R.; EQUIHUAL, M.; MAQUEO, O.; ALANIZ, N.; VERWEIJ, P.; ALVES, A. Impacts of biodiversity loss in the carbon stock and evapotranspiration fluxes regulation in brazilian Amazon. In: OUR COMMON FUTURE UNDER CLIMATE CHANGE INTERNATIONAL SCIENTIFIC CONFERENCE, 2015, Paris. Abstract book. Paris: [s.n.], 2015. p. 255.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 48. | | SIMÕES, M. G.; FERRAZ, R. P. D.; VERWEIJ, P.; EQUIHUAL, M.; ALVEZ, A. Impacts of land use changes and biodiversity loss in the carbon stock ecosystem service in Brazilian Amazon. In: CONFERENCE OF THE ECOSYSTEM SERVICES PARTNERSHIP, 7., 2014, San José, CR. Local action for the common good: book of abstracts. San José, CR: [s.n.], 2014.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 49. | | FERRAZ, R. P. D.; SIMÕES, M. G.; VERWEIJ, P.; EQUIHUAL, M.; ALVEZ, A. Influence of the land use changes and biodiversity loss in evapotranspiration fluxes regulation in Amazon ecosystem. In: CONFERENCE OF THE ECOSYSTEM SERVICES PARTNERSHIP, 7., 2014, San José, CR. Local action for the common good: book of abstracts. San José, CR: [s.n.], 2014.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 50. | | MAGALHÃES, I. D.; BELTRAO, N. E. de M.; VERAS, R. P.; FERRAZ, R. L. DE S. Cultura da mamona: possibilidade agroindustrial de geração de renda para o semiárido. In: PEREIRA, F. C.; FURTADO, D. DE A.; LIMA, A. K. V. DE O.; SANTANA, M. DE F. S. DE; PEREIRA, D. D.; VERAS, R. P. (Org.). Recursos naturais do Semiárido: oportunidades agroindustriais e econômicas. Campina Grande: EDUFCG, 2013. 119-142| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Algodão. |
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| 51. | | FERRAZ, R. L. DE S.; BELTRAO, N. E. de M.; VERAS, R. P.; MAGALHÃES, I. D. Cultura do pinhão manso: de olho no futuro. In: PEREIRA, F. C.; FURTADO, D. DE A.; LIMA, A. K. V. DE O.; SANTANA, M. DE F. S. DE; PEREIRA, D. D.; VERAS, R. P. (Org.). Recursos naturais do Semiárido: oportunidades agroindustriais e econômicas. Campina Grande: EDUFCG, 2013. 143-174| Tipo: Capítulo em Livro Técnico-Científico |
| Biblioteca(s): Embrapa Algodão. |
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| 55. | | SIMÕES, M.; OLIVEIRA, S.; GONÇALVES, H.; FERRAZ, R.; AGLIO, M.; MANZATTO, C. Organização da informação de solos do Brasil: banco de dados de solos e Geoportal com acesso a mapas digitais via internet. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo, 2015.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 57. | | SIMÕES, M.; FERRAZ, R.; VERWEIJ, P.; EQUIHUAL, M.; MAQUEO, O.; ALVES, A. Mapping the brazilian Amazon ecosystem integrity: a bayesian spatial modelling approach. In: INTERNATIONAL CONFERENCE ON EARTH SCIENCE & CLIMATE CHANGE, 4., 2015, Alicante. Proceedings... Los Angeles: OMICS International, 2015.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 60. | | SILVA, W. F.; LIMA, R. L.; PINHEIRO, J. N.; BRITO, E. S.; FERRAZ, R. H. S. Morfologia de órgãos genitais femininos de quelônio semi-aquático Mesoclemmys vanderhaegei. Pesquisa Veterinária Brasileira, Rio de Janeiro, v. 37, n. 9, p. 1015-1024, setembro. 2017. Título em inglês: Morphology of the female genital organs of freshwater turtle Mesoclemmys vanderhaegei.| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 183 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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