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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: |
13/03/2020 |
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Data da última atualização: |
13/03/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
URBINA SALAZAR, D. F.; DEMATTÊ, J. A. M.; VICENTE, L. E.; GUIMARAES, C. C. B.; SAYÃO, V. M.; CERRI, C. E. P.; PADILHA, M. C. de C.; MENDES, W. de S. |
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Afiliação: |
DIEGO FERNANDO URBINA SALAZAR, ESALQ-USP; JOSÉ ALEXANDRE MELO DEMATTÊ, ESALQ-USP; LUIZ EDUARDO VICENTE, CNPMA; CLECIA CRISTINA GUIMARÃES, ESALQ-USP; VERIDIANA MARIA SAYÃO, ESALQ-USP; CARLOS EDUARDO PELLEGRINO CERRI, ESALQ-USP; MANUELA CORREA DE CASTRO PADILHA, ESALQ-USP; WANDERSON DE SOUSA MENDES, ESALQ-USP. |
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Título: |
Emissivity of agricultural soil attributes in southeastern Brazil via terrestrial and satellite sensors. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Geoderma, v. 361, article 114038, 2020. |
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DOI: |
https://doi.org/10.1016/j.geoderma.2019.114038 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Soil texture and organic carbon (OC) content influence the spectral response. These attributes are relevant for the preservation and proper management of land use in the pursuit of a sustainable agriculture. Laboratory and satellite sensors have been applied as a powerful tool for studying so is, but their analysis using these sensors has mainly focused on the visible (Vis), near infrared (NIR) and shortwave infrared (SWIR) regions of the electromagnetic spectrum, with few studies in the Medium Infrared (MIR). The aim of this study was to identify the spectral pattern of soils with different granulometry (sand and clay) and OC content using laboratory and satellite sensors in the MIR region, specifically in the Thermal Infrared (TIR) range (ASTER, Landsat satellites). The study performed qualitative and quantitative analyses of clay, OC and sand fractions (fine and coarse). The study area is located in the region of Piracicaba, São Paulo, Brazil, where collected 150 soil samples (0?20 cm depth). Soil texture was determined by the pipette method and OC via dry combustion. Reflectance and emissivity (?) spectral data were obtained with the Fourier Transform Infrared (FT-IR) Alpha sensor (Bruker Optics Corporation). An image ?ASTER_05? from July 15, 2017 was acquired with values of ?. Samples were separated by textural classes and the spectral behavior in the TIR region was described. The data obtained by the laboratory sensor were resampled to the satellite sensor bands. The behavior between spectra of both sensors was similar and had significant correlation with the studied attributes, mainly sand. For the partial least squares regression (PLSR) models, six strategies were used (MIR, MIR_ASTER, ASTER, TIR, TIR Correlation Index (TIR_CID), and MIR Correlation Index (MIR_CID)), which consisted in the use of all sensors bands, or by the selection of bands that presented the most significant correlations with each one of the attributes. Models presented a good performance in the prediction of all attributes using the whole MIR. In the TIR region, the models for total sand content and for fine and coarse fractions were good. Models created with ASTER sensor data were not as promising as those with laboratory ones. The use of specific bands was useful in estimating some attributes in the MIR and TIR, improving the predictive performance and validation of models. Therefore, the discrimination of soil attributes with satellite sensors can be improved with the identification of specific bands, as observed in the results with laboratory sensors. MenosAbstract: Soil texture and organic carbon (OC) content influence the spectral response. These attributes are relevant for the preservation and proper management of land use in the pursuit of a sustainable agriculture. Laboratory and satellite sensors have been applied as a powerful tool for studying so is, but their analysis using these sensors has mainly focused on the visible (Vis), near infrared (NIR) and shortwave infrared (SWIR) regions of the electromagnetic spectrum, with few studies in the Medium Infrared (MIR). The aim of this study was to identify the spectral pattern of soils with different granulometry (sand and clay) and OC content using laboratory and satellite sensors in the MIR region, specifically in the Thermal Infrared (TIR) range (ASTER, Landsat satellites). The study performed qualitative and quantitative analyses of clay, OC and sand fractions (fine and coarse). The study area is located in the region of Piracicaba, São Paulo, Brazil, where collected 150 soil samples (0?20 cm depth). Soil texture was determined by the pipette method and OC via dry combustion. Reflectance and emissivity (?) spectral data were obtained with the Fourier Transform Infrared (FT-IR) Alpha sensor (Bruker Optics Corporation). An image ?ASTER_05? from July 15, 2017 was acquired with values of ?. Samples were separated by textural classes and the spectral behavior in the TIR region was described. The data obtained by the laboratory sensor were resampled to the satellite sensor ba... Mostrar Tudo |
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Palavras-Chave: |
Grain size; Satellite image analyses; Soil attributes; Soil emissivity; Spectral behavior; Thermal infrared (TIR). |
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Thesagro: |
Satélite; Sensoriamento Remoto. |
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Thesaurus Nal: |
Satellites; Soil properties. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 03618naa a2200337 a 4500
001 2121231
005 2020-03-13
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.geoderma.2019.114038$2DOI
100 1 $aURBINA SALAZAR, D. F.
245 $aEmissivity of agricultural soil attributes in southeastern Brazil via terrestrial and satellite sensors.$h[electronic resource]
260 $c2020
520 $aAbstract: Soil texture and organic carbon (OC) content influence the spectral response. These attributes are relevant for the preservation and proper management of land use in the pursuit of a sustainable agriculture. Laboratory and satellite sensors have been applied as a powerful tool for studying so is, but their analysis using these sensors has mainly focused on the visible (Vis), near infrared (NIR) and shortwave infrared (SWIR) regions of the electromagnetic spectrum, with few studies in the Medium Infrared (MIR). The aim of this study was to identify the spectral pattern of soils with different granulometry (sand and clay) and OC content using laboratory and satellite sensors in the MIR region, specifically in the Thermal Infrared (TIR) range (ASTER, Landsat satellites). The study performed qualitative and quantitative analyses of clay, OC and sand fractions (fine and coarse). The study area is located in the region of Piracicaba, São Paulo, Brazil, where collected 150 soil samples (0?20 cm depth). Soil texture was determined by the pipette method and OC via dry combustion. Reflectance and emissivity (?) spectral data were obtained with the Fourier Transform Infrared (FT-IR) Alpha sensor (Bruker Optics Corporation). An image ?ASTER_05? from July 15, 2017 was acquired with values of ?. Samples were separated by textural classes and the spectral behavior in the TIR region was described. The data obtained by the laboratory sensor were resampled to the satellite sensor bands. The behavior between spectra of both sensors was similar and had significant correlation with the studied attributes, mainly sand. For the partial least squares regression (PLSR) models, six strategies were used (MIR, MIR_ASTER, ASTER, TIR, TIR Correlation Index (TIR_CID), and MIR Correlation Index (MIR_CID)), which consisted in the use of all sensors bands, or by the selection of bands that presented the most significant correlations with each one of the attributes. Models presented a good performance in the prediction of all attributes using the whole MIR. In the TIR region, the models for total sand content and for fine and coarse fractions were good. Models created with ASTER sensor data were not as promising as those with laboratory ones. The use of specific bands was useful in estimating some attributes in the MIR and TIR, improving the predictive performance and validation of models. Therefore, the discrimination of soil attributes with satellite sensors can be improved with the identification of specific bands, as observed in the results with laboratory sensors.
650 $aSatellites
650 $aSoil properties
650 $aSatélite
650 $aSensoriamento Remoto
653 $aGrain size
653 $aSatellite image analyses
653 $aSoil attributes
653 $aSoil emissivity
653 $aSpectral behavior
653 $aThermal infrared (TIR)
700 1 $aDEMATTÊ, J. A. M.
700 1 $aVICENTE, L. E.
700 1 $aGUIMARAES, C. C. B.
700 1 $aSAYÃO, V. M.
700 1 $aCERRI, C. E. P.
700 1 $aPADILHA, M. C. de C.
700 1 $aMENDES, W. de S.
773 $tGeoderma$gv. 361, article 114038, 2020.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
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Origem |
Tipo/Formato |
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Cutter |
Registro |
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URL |
Voltar
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| Registros recuperados : 13 | |
| 2. |  | GUIMARAES, C. C.; ASSIS, C.; SIMEONE, M. L. F.; SENA, M. M. Use of near-infrared spectroscopy, partial least-squares, and ordered predictors selection to predict four quality parameters of sweet sorghum juice used to produce bioethanol. Energy & Fuels, Washington, v. 30, p. 4137- 4144, 2016.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 4. | | GUIMARÃES, C. C.; ROSA, S. D. V. F. da; MALTA, M. R.; CARVALHO, M. H.; OLIVEIRA, R. M. E. Lipid content and fatty acid profile in Embryos, endosperm, and seeds of dried Coffea arabica. In: INTERNATIONAL CONFERENCE ON COFFEE SCIENCE, 26., 2016, Kunming,Yunnan, China. Proceedings... ASIC - Association for Science and Information on Coffee, 2016. p. 120.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Café. |
|  |
| 6. | | SALAZAR, D. U.; DEMATTÊ, J. A. M.; VICENTE, L. E.; GUIMARAES, C. C.; PADILHA, M. C. de C.; MELLO, F. A. de O.; SOUZA, A. B. Emissividade via laboratório e satélite como abordagem na análise textural de solos. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 19., 2019, Santos. Anais... São José dos Campos: INPE, 2019. Artigo 95977. p. 1-4.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 7. | | SALAZAR, D. U.; DEMATTÊ, J. A. M.; VICENTE, L. E.; GUIMARÃES, C. C.; SOUZA, A. B. de; INFORSATO, L.; CARVALHO, H. W. L. de. Spectral range (FRX-VIS-NIR-SWIR-MIR) interaction on the organic matter prediction. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: abstracts. Viçosa, MG: SBCS, 2018. Trabalho 392.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 8. | | CARVALHO, M. H. de; ROSA, S. D. V. F. da; COELHO, S. V. B.; GUIMARÃES, C. C.; MARTINS, R. de S.; CLEMENTE, A. da C. S.; PAIVA, L. V. Drying of arabica coffee and its effect on the gene expression and activity of enzymes linked to seed physiological quality. Acta Scientiarum: Agronomy, v. 45, e56908, 2023.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
| Biblioteca(s): Embrapa Café. |
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| 9. | | URBINA SALAZAR, D. F.; DEMATTÊ, J. A. M.; VICENTE, L. E.; GUIMARAES, C. C. B.; SAYÃO, V. M.; CERRI, C. E. P.; PADILHA, M. C. de C.; MENDES, W. de S. Emissivity of agricultural soil attributes in southeastern Brazil via terrestrial and satellite sensors. Geoderma, v. 361, article 114038, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 10. | | GUIMARÃES, M. F. (Org).; TAVARES FILHO, J.; GUIMARÃES, C. C. M.; CASTRO FILHO, C.; VAZ, C. M. P.; MORAES, M. H.; ZIMBACH, C. R. L.; JORGE, L. A. C.; RALISCH, R. Manual de metodologias para avaliação de manejo do solo. Londrina : Editora UEL, 1999.| Biblioteca(s): Embrapa Instrumentação. |
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| 11. | | SANTOS, U. J. dos; DEMATTÊ, J. A. de M.; MENEZES, R. S. C.; DOTTO, A. C.; GUIMARÃES, C. C. B.; ALVES, B. J. R.; PRIMO, D. C.; SAMPA, E. V. de S. B. Predicting carbon and nitrogen by visible near-infrared (Vis-NIR) .and mid-infrared (MIR) spectroscopy in soils of Northeast Brazil Geoderma Regional, v. 23, e00333, December 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Agrobiologia. |
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| 12. | | PADILHA, M. C. de C.; VICENTE, L. E.; DEMATTÊ, J. A. M.; LOEBMANN, D. G. dos S. W.; VICENTE, A. K.; URBINA SALAZAR, D. F.; GUIMARÃES, C. C. B. Using Landsat and soil clay content to map soil organic carbon of oxisols and Ultisols near São Paulo, Brazil. Geoderma Regional, v. 21, e00253, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| 13. | | DEMATTÊ, J. A. M.; DOTTO, A. C.; PAIVA, A. F. S.; SATO, M. V.; DALMOLIN, R. S. D.; ARAÚJO, M. do S. B. de; SILVA, E. B. da; NANNI, M. R.; CATEN, A. ten; NORONHA, N. C.; LACERDA, M. P. C.; ARAUJO FILHO, J. C. de; RIZZO, R.; BELLINASO, H.; FRANCELINO, M. R.; SCHAEFER, C. E. G. R.; VICENTE, L. E.; SANTOS, U. J. dos; SAMPAIO, E. V. de S. B.; MENEZES, R. S. C.; SOUZA, J. J. L. L. de; ABRAHÃO, W. A. P.; COELHO, R. M.; GREGO, C. R.; LANI, J. L.; FERNANDES, A. R.; GONÇALVES, D. A. M.; SILVA, S. H. G.; MENEZES, M. D. de; CURI, N.; COUTO, E. G.; ANJOS, L. H. C. dos; CEDDIA, M. B.; PINHEIRO, E. F. M.; GRUNWALD, S.; VASQUES, G. de M.; MARQUES JÚNIOR, J.; SILVA, A. J. da; BARRETO, M. C. de V.; NÓBREGA, G. N.; SILVA, M. Z. da; SOUZA, S. F. de; VALLADARES, G. S.; VIANA, J. H. M.; TERRA, F. da S.; HORÁK-TERRA, I.; FIORIO, P. R.; SILVA, R. C. da; FRADE JÚNIOR, E. F.; LIMA, R. H. C.; FILIPPINI ALBA, J. M.; SOUZA JUNIOR, V. S. de; BREFIN, M. de L. M. S.; RUIVO, M. de L. P.; FERREIRA, T. O.; BRAIT, M. A.; CAETANO, N. R.; BRINGHENTI, I.; MENDES, W. de S.; SAFANELLI, J. L.; GUIMARÃES, C. C. B.; POPPIEL, R. R.; SOUZA, A. B. e; QUESADA, C. A.; COUTO, H. T. Z. do. The Brazilian Soil Spectral Library (BSSL): a general view, application and challenges. Geoderma, v. 354, 113793, 2019. Na publicação: Gustavo M. Vasques.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Clima Temperado; Embrapa Cocais; Embrapa Meio Ambiente; Embrapa Milho e Sorgo; 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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