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Registro Completo |
Biblioteca(s): |
Embrapa Cocais; Embrapa Meio-Norte. |
Data corrente: |
26/08/2015 |
Data da última atualização: |
27/01/2016 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
FRAZAO, J. M. F.; COSTA, J. B.; QUINZEIRO NETO, T.; ARAUJO NETO, R. B. de; TEIXEIRA NETO, M. L.; AZEVEDO, D. M. P. de; CARVALHO, G. M. C. |
Afiliação: |
JOSE MARIO FERRO FRAZAO, CPACP; JOAQUIM BEZERRA COSTA, CPACP; TALMIR QUINZEIRO NETO, CPACP; RAIMUNDO BEZERRA DE ARAUJO NETO, CPAMN; MARCOS LOPES TEIXEIRA NETO, CPAMN; DIOGENES MANOEL PEDROSA DE AZEVEDO, CPAMN; GERALDO MAGELA CORTES CARVALHO, CPAMN. |
Título: |
Corn and soybean yield in the integrated crop-livestock system in the cerrado, Maranhão eastern region. |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: CONGRESSO MUNDIAL SOBRE SISTEMAS DE INTEGRAÇÃO; SIMPÓSIO INTERNACIONAL SOBRE SISTEMAS DE INTEGRAÇÃO LAVOURA PECUÁRIA, 3., 2015, Brasília. Rumo à intensificação sustentável, 2015. |
Descrição Física: |
Resumo |
Idioma: |
Inglês |
Conteúdo: |
The Cerrado of the East region in Maranhão state is located in the agricultural expansion area called MATOPIBA where soybeans production has grown on a large scale. This region requires special care in the management and conservation of soils, including crop rotation and no-tillage system, due to characteristics of soil and climate. The Integrated Crop-Livestock System (ICLS) has been introduced to facilitate the management of soil in rotation with corn and grazing and to improve soil coverage during the period between harvests. This system also allowed the introduction of the animal component, diversifying farm production. |
Palavras-Chave: |
ILPF; Maranhão; Sistemas integrados. |
Thesagro: |
Cerrado; Milho; Soja. |
Categoria do assunto: |
A Sistemas de Cultivo |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/128869/1/Corn-and-soybean-yield-in-the-Integrated-Crop-Livestock-System-in-the-Cerrado-Maranhao-Eastern-Region.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/187871/1/ResumoILPF2015FrazaoAraujoNeto.pdf
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Marc: |
LEADER 01541nam a2200265 a 4500 001 2022705 005 2016-01-27 008 2015 bl uuuu u00u1 u #d 100 1 $aFRAZAO, J. M. F. 245 $aCorn and soybean yield in the integrated crop-livestock system in the cerrado, Maranhão eastern region.$h[electronic resource] 260 $aIn: CONGRESSO MUNDIAL SOBRE SISTEMAS DE INTEGRAÇÃO; SIMPÓSIO INTERNACIONAL SOBRE SISTEMAS DE INTEGRAÇÃO LAVOURA PECUÁRIA, 3., 2015, Brasília. Rumo à intensificação sustentável$c2015 300 $cResumo 520 $aThe Cerrado of the East region in Maranhão state is located in the agricultural expansion area called MATOPIBA where soybeans production has grown on a large scale. This region requires special care in the management and conservation of soils, including crop rotation and no-tillage system, due to characteristics of soil and climate. The Integrated Crop-Livestock System (ICLS) has been introduced to facilitate the management of soil in rotation with corn and grazing and to improve soil coverage during the period between harvests. This system also allowed the introduction of the animal component, diversifying farm production. 650 $aCerrado 650 $aMilho 650 $aSoja 653 $aILPF 653 $aMaranhão 653 $aSistemas integrados 700 1 $aCOSTA, J. B. 700 1 $aQUINZEIRO NETO, T. 700 1 $aARAUJO NETO, R. B. de 700 1 $aTEIXEIRA NETO, M. L. 700 1 $aAZEVEDO, D. M. P. de 700 1 $aCARVALHO, G. M. C.
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Registro original: |
Embrapa Cocais (CPACP) |
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Registro Completo
Biblioteca(s): |
Embrapa Meio Ambiente. |
Data corrente: |
19/11/2019 |
Data da última atualização: |
19/11/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
FONGARO, C. T.; DEMATTÊ, J. A. M.; RIZZO, R.; SAFANELLI, J. L.; MENDES, W. de S.; DOTTO, A. C.; VICENTE, L. E.; FRANCESCHINI, M. H. D.; USTIN, S. L. |
Afiliação: |
CAIO TROULA FONGARO, ESALQ-USP; JOSE ALEXANDRE MELO DEMATTE, ESALQ-USP; RODNEI RIZZO, CENA-USP; JOSE LUCAS SAFANELLI, ESALQ-USP; WANDERSON DE SOUSA MENDES, ESALQ-USP; ANDRE CARNIELETTO DOTTO, ESALQ-USP; LUIZ EDUARDO VICENTE, CNPMA; MARSTON HERACLES DOMINGUES FRANCESCHINI, Wageningen University; SUSAN L USTIN, University of California-Davis. |
Título: |
Improvement of clay and sand quantification based on a novel approach with a focus on multispectral satellite images. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Remote Sensing, v. 10, n. 10, p. 1-21, 2018. Article 1555. |
DOI: |
https://doi.org/10.3390/rs10101555 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral (TESS) reflectance and Synthetic Soil Image (SYSI) approaches were used to identify and characterize texture spectral signatures at the image level. Soil samples were collected (0?20 cm depth, 919 points) from an area of 14,614 km 2 in Brazil for reference and model calibration. We compared different prediction approaches: (a) TESS and SYSI; (b) Relief-Derived Covariates (RDC); and (c) SYSI plus RDC. The TESS method produced highly similar behavior to the laboratory convolved data. The sandy textural class showed a greater increase in average spectral reflectance from Band 1 to 7 compared with the clayey class. The prediction using SYSI produced a better result for clay (R 2 = 0.83; RMSE = 65.0 g kg − 1 ) and sand (R 2 = 0.86; RMSE = 79.9 g kg − 1 ). Multispectral satellite images were more stable for the identification of soil properties than relief parameters. |
Palavras-Chave: |
Imagem de satélite; Mapeamento do solo. |
Thesagro: |
Satélite; Sensoriamento Remoto; Solo Arenoso; Solo Argiloso. |
Thesaurus NAL: |
Clay soils; Multispectral imagery; Precision agriculture; Reflectance spectroscopy; Remote sensing; Sandy soils; Satellites; Soil degradation; Soil map. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204955/1/Vicente-Clay-Sand-AP-2019.pdf
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Marc: |
LEADER 02461naa a2200409 a 4500 001 2114592 005 2019-11-19 008 2018 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/rs10101555$2DOI 100 1 $aFONGARO, C. T. 245 $aImprovement of clay and sand quantification based on a novel approach with a focus on multispectral satellite images.$h[electronic resource] 260 $c2018 520 $aAbstract: Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral (TESS) reflectance and Synthetic Soil Image (SYSI) approaches were used to identify and characterize texture spectral signatures at the image level. Soil samples were collected (0?20 cm depth, 919 points) from an area of 14,614 km 2 in Brazil for reference and model calibration. We compared different prediction approaches: (a) TESS and SYSI; (b) Relief-Derived Covariates (RDC); and (c) SYSI plus RDC. The TESS method produced highly similar behavior to the laboratory convolved data. The sandy textural class showed a greater increase in average spectral reflectance from Band 1 to 7 compared with the clayey class. The prediction using SYSI produced a better result for clay (R 2 = 0.83; RMSE = 65.0 g kg − 1 ) and sand (R 2 = 0.86; RMSE = 79.9 g kg − 1 ). Multispectral satellite images were more stable for the identification of soil properties than relief parameters. 650 $aClay soils 650 $aMultispectral imagery 650 $aPrecision agriculture 650 $aReflectance spectroscopy 650 $aRemote sensing 650 $aSandy soils 650 $aSatellites 650 $aSoil degradation 650 $aSoil map 650 $aSatélite 650 $aSensoriamento Remoto 650 $aSolo Arenoso 650 $aSolo Argiloso 653 $aImagem de satélite 653 $aMapeamento do solo 700 1 $aDEMATTÊ, J. A. M. 700 1 $aRIZZO, R. 700 1 $aSAFANELLI, J. L. 700 1 $aMENDES, W. de S. 700 1 $aDOTTO, A. C. 700 1 $aVICENTE, L. E. 700 1 $aFRANCESCHINI, M. H. D. 700 1 $aUSTIN, S. L. 773 $tRemote Sensing$gv. 10, n. 10, p. 1-21, 2018. Article 1555.
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Embrapa Meio Ambiente (CNPMA) |
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