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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio Ambiente. Para informações adicionais entre em contato com cnpma.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
26/07/2018 |
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Data da última atualização: |
26/07/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANCHES, I. D. A.; FEITOSA, R. Q.; DIAZ, P. M. A.; SOARES, M. D.; LUIZ, A. J. B.; SCHULTZ, B.; MAURANO, L. E. P. |
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Afiliação: |
IARA DEL'ARCO SANCHES, INPE; RAUL QUEIROZ FEITOSA, PUC Rio; PEDRO MARCO ACHANCCARAY DIAZ, PUC Rio; MARINALVA DIAS SOARES, PUC Rio; ALFREDO JOSE BARRETO LUIZ, CNPMA; BRUNO SCHULTZ, Geoambiente; LUIS EDUARDO PINHEIRO MAURANO, INPE. |
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Título: |
Campo Verde database: seeking to improve agricultural remote sensing of tropical areas. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
IEEE Geoscience and Remote Sensing Letters, v. 15, n. 3, p. 369-373, 2018. |
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DOI: |
https://doi.org/10.1109/LGRS.2017.2789120 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: In tropical/subtropical regions, the favorable climate associated with the use of agricultural technologies, such as no tillage, minimum cultivation, irrigation, early varieties, desiccants, ?owering inducing, and crop rotation, makes agriculture highly dynamic. In this letter, we present the Campo Verde agricultural database. The purpose of creating and sharing these data is to foster advancement of remote sensing technology in areas of tropical agriculture, primarily the development and testingof methods for croprecognition andagriculturalmapping. Campo Verde is a municipality of Mato Grosso state, localized in the Cerrado (Brazilian Savanna) biome, in central west Brazil. Soybean, maize, and cotton are the primary crops cultivated in this region. Double cropping systems are widely adopted in this area. There is also livestock and forestry production. Our database provides the land-use classes for 513 ?elds by month for one Brazilian crop year (between October 2015 and July 2016). This information was gathered during two ?eld campaigns in Campo Verde (December 2015 and May 2016) and by visual interpretation of a time series of Landsat-8/Operational Land Imager (OLI) images using an experienced interpreter. A set of 14 preprocessed synthetic aperture radar Sentinel-1 and 15 Landsat-8/OLI mosaic images is also made available. It is important to promote the use of radar data for tropical agricultural applications, especially because the use of optical remote sensing in these regions is hindered by the high frequency of cloud cover. To demonstrate the utility of our database, results of an experiment conducted using the Sentinel-1 data set are presented. MenosAbstract: In tropical/subtropical regions, the favorable climate associated with the use of agricultural technologies, such as no tillage, minimum cultivation, irrigation, early varieties, desiccants, ?owering inducing, and crop rotation, makes agriculture highly dynamic. In this letter, we present the Campo Verde agricultural database. The purpose of creating and sharing these data is to foster advancement of remote sensing technology in areas of tropical agriculture, primarily the development and testingof methods for croprecognition andagriculturalmapping. Campo Verde is a municipality of Mato Grosso state, localized in the Cerrado (Brazilian Savanna) biome, in central west Brazil. Soybean, maize, and cotton are the primary crops cultivated in this region. Double cropping systems are widely adopted in this area. There is also livestock and forestry production. Our database provides the land-use classes for 513 ?elds by month for one Brazilian crop year (between October 2015 and July 2016). This information was gathered during two ?eld campaigns in Campo Verde (December 2015 and May 2016) and by visual interpretation of a time series of Landsat-8/Operational Land Imager (OLI) images using an experienced interpreter. A set of 14 preprocessed synthetic aperture radar Sentinel-1 and 15 Landsat-8/OLI mosaic images is also made available. It is important to promote the use of radar data for tropical agricultural applications, especially because the use of optical remote sensing... Mostrar Tudo |
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Palavras-Chave: |
Agricultural mapping/monitoring; Double cropping systems; Free available database. |
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Thesagro: |
Agricultura; Base de Dados; Sensoriamento Remoto. |
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Thesaurus Nal: |
Digital database; Monitoring; Remote sensing; Synthetic aperture radar; Tropical agriculture. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02742naa a2200337 a 4500
001 2093588
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008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1109/LGRS.2017.2789120$2DOI
100 1 $aSANCHES, I. D. A.
245 $aCampo Verde database$bseeking to improve agricultural remote sensing of tropical areas.$h[electronic resource]
260 $c2018
520 $aAbstract: In tropical/subtropical regions, the favorable climate associated with the use of agricultural technologies, such as no tillage, minimum cultivation, irrigation, early varieties, desiccants, ?owering inducing, and crop rotation, makes agriculture highly dynamic. In this letter, we present the Campo Verde agricultural database. The purpose of creating and sharing these data is to foster advancement of remote sensing technology in areas of tropical agriculture, primarily the development and testingof methods for croprecognition andagriculturalmapping. Campo Verde is a municipality of Mato Grosso state, localized in the Cerrado (Brazilian Savanna) biome, in central west Brazil. Soybean, maize, and cotton are the primary crops cultivated in this region. Double cropping systems are widely adopted in this area. There is also livestock and forestry production. Our database provides the land-use classes for 513 ?elds by month for one Brazilian crop year (between October 2015 and July 2016). This information was gathered during two ?eld campaigns in Campo Verde (December 2015 and May 2016) and by visual interpretation of a time series of Landsat-8/Operational Land Imager (OLI) images using an experienced interpreter. A set of 14 preprocessed synthetic aperture radar Sentinel-1 and 15 Landsat-8/OLI mosaic images is also made available. It is important to promote the use of radar data for tropical agricultural applications, especially because the use of optical remote sensing in these regions is hindered by the high frequency of cloud cover. To demonstrate the utility of our database, results of an experiment conducted using the Sentinel-1 data set are presented.
650 $aDigital database
650 $aMonitoring
650 $aRemote sensing
650 $aSynthetic aperture radar
650 $aTropical agriculture
650 $aAgricultura
650 $aBase de Dados
650 $aSensoriamento Remoto
653 $aAgricultural mapping/monitoring
653 $aDouble cropping systems
653 $aFree available database
700 1 $aFEITOSA, R. Q.
700 1 $aDIAZ, P. M. A.
700 1 $aSOARES, M. D.
700 1 $aLUIZ, A. J. B.
700 1 $aSCHULTZ, B.
700 1 $aMAURANO, L. E. P.
773 $tIEEE Geoscience and Remote Sensing Letters$gv. 15, n. 3, p. 369-373, 2018.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
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| Registros recuperados : 13 | |
| 6. |  | LUIZ, A. J. B.; MAIA, A. de H. N.; SANCHES, I. D. A.; GÜRTLER, S.; SOUZA FILHO, C. R. de. Busca de relações quando o número de variáveis é muito maior que o de observações: o caso de dados hiperespectrais. In: REUNIÃO ANUAL DA REGIÃO BRASILEIRA DA SOCIEDADE INTERNACIONAL DE BIOMETRIA, 60.; SIMPÓSIO DE ESTATÍSTICA APLICADA À EXPERIMENTAÇÃO AGRONÔMICA, 16., 2015, Presidente Prudente. A estatística e os novos desafios: tratamento e modelagem da informação: anais... Presidente Prudente: Sociedade Internacional de Biometria, 2015. 10 p.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 8. | | SCHULTZ, B.; IMMITZER, M.; FORMAGGIO, A. R.; SANCHES, I. D. A.; LUIZ, A. J. B.; ATZBERGER, C. Self-guided segmentation and classification of multi-temporal landsat 8 images for crop type mapping in southeastern Brazil. Remote Sensing, Basel, v. 7, n. 11, p. 14482-14508, 2015.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 9. | | PRUDENTE, V. H. R.; SKAKUN, S.; OLDONI, L. V.; XAUD, H. A. M.; XAUD, M. R.; ADAMI, M.; SANCHES, I. D. A. Multisensor approach to land use and land cover mapping in Brazilian Amazon. ISPRS Journal of Photogrammetry and Remote Sensing, v. 189, p. 95-109, 2022.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Roraima. |
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| 10. | | SANCHES, I. D. A.; FEITOSA, R. Q.; DIAZ, P. M. A.; SOARES, M. D.; LUIZ, A. J. B.; SCHULTZ, B.; MAURANO, L. E. P. Campo Verde database: seeking to improve agricultural remote sensing of tropical areas. IEEE Geoscience and Remote Sensing Letters, v. 15, n. 3, p. 369-373, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 11. | | DUFT, D. G.; SANCHES, G. M.; LUCIANO, A. C. S.; MONTIBELLER, B.; SILVEIRA, H. L. F. da; SANCHES, I. D. A.; KÖLLN, O. T. Identificação de fechamento de dossel de cana-de-açúcar através de imagens de VANT. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 5998-6005.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| 12. | | CHEN, Y.; LU, D.; MORAN, E.; BATISTELLA, M.; DUTRA, L. V.; SANCHES, I. D. A.; SILVA, R. F. B. da; HUANG, J.; LUIZ, A. J. B.; OLIVEIRA, M. A. F. de. Mapping croplands, cropping patterns, and crop types using MODIS time-series data. International Journal of Applied Earth Observation and Geoinformation, v. 69, p. 133-147, 2018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 13. | | MONTIBELLER, M.; SILVEIRA, H. L. F. da; SANCHES, I. D. A.; KÖRTING, T. S.; FONSECA, L. M. G.; ARAGÃO, L. E. O. e C. de; PICOLI, M. C. A.; DUFT, D. G. Identification of gaps in sugarcane plantations using UAV images. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 1169-1176.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Solos. |
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| Registros recuperados : 13 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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