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4. | | ACCIOLY, L. J. de O.; HUETE, A. R. Resposta espectral de solos em razão do ângulo de visada, da umidade e da rugosidade superficial. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 35, n. 12, p. 2473-84, dez. 2000. Título em inglês: Soil spectral response in relation to viewing angle, soil moisture and surface roughness. Biblioteca(s): Embrapa Solos; Embrapa Unidades Centrais. |
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6. | | HAREN, J. van; SALESKA, S.; HUETE, A.; KELLER, M.; OLIVEIRA, R. C. Amazon forest tree species composition influences soil fluxes of CO2 and N2O. In: SCIENCE TEAM MEETING, 10., 2006, Brasília, DF. Book of Abstracts... Manaus: LBA-ECO, 2006. p. 19. Biblioteca(s): Embrapa Amazônia Oriental. |
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7. | | MIURA, T.; HUETE, A. R.; FERREIRA, L. G.; SANO, E. E. An assessment of land cover dependencies of VI-biophysical relationships for regional extrapolations of ground LBA ecology measurements in Brazilian Cerrado In: CONFERÊNCIA CIENTÍFICA DO LBA, 3., 2004, Brasília, DF. Anais de trabalhos completos. Brasília, DF: LBA, 2004. 1 p. Biblioteca(s): Embrapa Cerrados. |
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10. | | POTTER, C.; BUSTAMANTE, M.; FERREIRA, L.; HUETE, A.; KLOOSTER, S.; KRAMER, M.; COSME, R. Synthesis studies of secondary forest productivity in the Amazon: field data, remote sensing, modeling approaches. In: SCIENCE TEAM MEETING, 10., 2006, Brasília, DF. Book of Abstracts... Manaus: LBA-ECO, 2006. p. 32. Biblioteca(s): Embrapa Amazônia Oriental. |
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13. | | SALESKA, S. R.; WU, J.; GUAN, K.; ARAUJO, A. C.; HUETE, A.; NOBRE, A. D.; RESTREPO-COUPE, N. Dry-season greening of Amazon forests. Nature, v. 531, n. 7594, p. E4-E5, Mar. 2016. Biblioteca(s): Embrapa Amazônia Oriental. |
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14. | | SHIMABUKURO, Y. E.; VERONA, J. D.; LACRUZ, S. P.; HUETE, A.; FERREIRA, L.; YOSHIOKA, H. SANO, E. Avaliacao dos dados MODIS para o estudo da cobertura vegetal da Floresta Nacional Tapajos no estado do Para. In: SIMPOSIO BRASILEIRO DE SENSORIAMENTO REMOTO- SBSR, 10., 2001, Foz do Iguacu. [Anais...]. [S.l.]: SELPER: INPE, 2001? 4 p. Biblioteca(s): Embrapa Cerrados. |
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15. | | JESUS, E. T.; FERREIRA, L. G.; FERREIRA, M. E.; FERREIRA, N. C.; HUETE, A.; SANO, E. E. Avaliação dos índices de vegetação MODIS para a detecção de mudanças na cobertura vegetal do Cerrado. In: CONFERÊNCIA CIENTÍFICA DO LBA, 3., 2004, Brasília, DF. Anais de trabalhos completos. Brasília, DF: LBA, 2004. 1 p. Biblioteca(s): Embrapa Cerrados. |
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16. | | POTTER, C.; BUSTAMANTE, M.; KLOOSTER, S.; GENOVESE, V.; FERREIRA, L.; HUETE, A.; COSME, R.; NEMANI, R.; ZEPP, R. Modeling the effects of climate and land use change on carbon and trace gas budgets over the Amazon Region using NASA satellite products. In: SCIENCE TEAM MEETING, 11., 2007, Salvador. Book of Abstracts... Manaus: LBA-ECO, 2007. Abstract ID: 14. Publicado também on-line. Biblioteca(s): Embrapa Amazônia Oriental. |
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17. | | POTTER, C.; KLOOSTER, S.; HUETE, A.; GENOVESE, V.; BUSTAMANTE, M.; FERREIRA, L. G.; OLIVEIRA JUNIOR, R. C. de; ZEPP, R. Terrestrial carbon sinks in the Brazilian Amazon and Cerrado region predicted from MODIS satellite data and ecosystem modeling. Biogeosciences discussions, v. 6, n. 1, p. 947-969, Jan./Feb. 2009. Biblioteca(s): Embrapa Amazônia Oriental. |
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18. | | NELSON, B.; TAVARES, J.; WU, J.; VALERIANO, D.; LOPES, A.; MAROSTICA, S.; MARTINS, G.; PROHASKA, N.; ALBERT, L.; ARAUJO, A. de; MANZI, A.; SALESKA, S.; HUETE, A. Seasonality of Central Amazon Forest Leaf Flush Using Tower-Mounted RGB Camera. In: AGU FALL MEETING, 2014, San Francisco. [Proceedings]. [San Francisco]: AGU, 2014. Biblioteca(s): Embrapa Amazônia Oriental. |
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19. | | WU, J.; KOBAYASHI, H.; STARK, S. C.; MENG, R.; GUAN, K.; TRAN, N. N.; GAO, S.; YANG, W.; RESTREPO-COUPE, N.; MIURA, T.; OLIVEIRA JUNIOR, R. C. de; ROGERS, A.; DYE, D. G.; NELSON, B. W.; SERBIN, S. P.; HUETE, A. R.; SALESKA, S. R. Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. New Phytologist, v. 217, n. 4, p. 1507-1520, Mar. 2018. Biblioteca(s): Embrapa Amazônia Oriental. |
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20. | | WU, J.; GUAN, K.; HAYEK, M.; RESTREPO-COUPE, N.; WIEDEMANN, K. T.; XU, X.; WEHR, R.; CHRISTOFFERSEN, B. O.; MIAO, G.; SILVA, R. da; ARAUJO, A. C. de; OLIVEIRA JUNIOR, R. C. de; CAMARGO, P. B.; MONSON, R. K.; HUETE, A. R.; SALESKA, S. R. Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales. Global Change Biology, v. 23, n. 3, p. 1240-1257, Mar. 2017. Biblioteca(s): Embrapa Amazônia Oriental. |
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Registros recuperados : 22 | |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
02/04/2002 |
Data da última atualização: |
02/04/2002 |
Autoria: |
SANO, E. E.; MORAN, M. S.; HUETE, A. R.; MIURA, T. |
Título: |
Ku-Band SAR data for bare soil moisture retrieval over agricultural fields. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
[S.l.: IEEE], 1997. |
Páginas: |
nao paginado. |
Idioma: |
Inglês |
Notas: |
Apresentado no INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS'97. |
Conteúdo: |
This study focused on the analyses of multiangle, Kuband (14.85 GHz), synthetic aperture radar (SAR) data for bare soil moisture retrieval over agricultural fields. The radar data were acquired at three incidence angles (35º, 55º, and 75º), VV polarization, and 2-m nominal spatial resolution. The fields presented either a small scale or an intermediate scale periodic soil roughness components, associated with levelbasin and furrow irrigation systems, respectively. Both of these periodic structures were randomly pertubed by the presence of soil clods. Radar backscatter and soil surface moisture data were obtained from 39 borders (within field level basins). The results showed that the bare soil moisture retrieval over agricultural fields with periodic roughness components from ku-band SAR data is dependent upon the insidence angle and the soil roughness condition. For fields with level basin irrigation system, a good linear relationship getween radar backscattering coefficients and volumetric soil moisture contents was found, especially at 35º incidence angle ( r ao quadrado igual 0.90; for 55º and 75 incidence angles, e 0.74 and 0.41, respectively). However, for fields with the furrow irrigation system, the radar backscattering data were nearly insensitive to soil moisture due to the stronger influence of soil roughness. |
Thesagro: |
Sensoriamento Remoto; Umidade do Solo. |
Thesaurus NAL: |
remote sensing; soil water content. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02010naa a2200229 a 4500 001 1564585 005 2002-04-02 008 1997 bl uuuu u00u1 u #d 100 1 $aSANO, E. E. 245 $aKu-Band SAR data for bare soil moisture retrieval over agricultural fields. 260 $c1997 300 $anao paginado. 500 $aApresentado no INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, IGARSS'97. 520 $aThis study focused on the analyses of multiangle, Kuband (14.85 GHz), synthetic aperture radar (SAR) data for bare soil moisture retrieval over agricultural fields. The radar data were acquired at three incidence angles (35º, 55º, and 75º), VV polarization, and 2-m nominal spatial resolution. The fields presented either a small scale or an intermediate scale periodic soil roughness components, associated with levelbasin and furrow irrigation systems, respectively. Both of these periodic structures were randomly pertubed by the presence of soil clods. Radar backscatter and soil surface moisture data were obtained from 39 borders (within field level basins). The results showed that the bare soil moisture retrieval over agricultural fields with periodic roughness components from ku-band SAR data is dependent upon the insidence angle and the soil roughness condition. For fields with level basin irrigation system, a good linear relationship getween radar backscattering coefficients and volumetric soil moisture contents was found, especially at 35º incidence angle ( r ao quadrado igual 0.90; for 55º and 75 incidence angles, e 0.74 and 0.41, respectively). However, for fields with the furrow irrigation system, the radar backscattering data were nearly insensitive to soil moisture due to the stronger influence of soil roughness. 650 $aremote sensing 650 $asoil water content 650 $aSensoriamento Remoto 650 $aUmidade do Solo 700 1 $aMORAN, M. S. 700 1 $aHUETE, A. R. 700 1 $aMIURA, T. 773 $t[S.l.: IEEE], 1997.
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