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| Registros recuperados : 22 | |
| 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
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
18/04/2002 |
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Data da última atualização: |
18/04/2002 |
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Autoria: |
SANO, E. E.; HUETE, A. R.; TROUFLEAU, D.; MORAN, M. S.; VIDAL, A. |
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Título: |
Analysis of ERS-1 SAR data to study soil moisture content in rocky soils. |
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Ano de publicação: |
1996 |
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Fonte/Imprenta: |
In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 1996, Lincoln, NB. Remote sensing for a sustainable future. [S.l.: IEEE], 1996. |
|
Páginas: |
p. 157-159. |
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Idioma: |
Inglês |
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Notas: |
IGARSS'96. |
|
Conteúdo: |
The objective of this research was to analyze the potential of ERS-1 SAR data to study the surface soil moisture content of rocky soils in semi-arid regions. The study took place at the Walnut Gulch Experimental Watershed, Tombstone, AZ. Field soil moisture contents and dry bulk densities in the top 5 cm were obtained from 51 different sampling sites in the watershed during a satellite overpass on July 25,1994. One set of 22 points was characterized by a sandy soil, 3-15% slope, and vegetation dominatedby shrubs. Another set of 29 sampling sites was characterized by a clayey soil, 0-3% slope, and covered by grasses and forbes. Soil roughness was measured at eight of these sites. The SAR image was georeferenced in the Universal Transverse Mercator (UTM) coordinate system and calibrated using a digital elevation model (DEM). In general, the correlation between volumetric soil moisture content and the radar backscatter signal was poor, but improved (r= 0.78 and 0.41 for the first and second sets, respectively) when limited to low correlation was due to the dominant influence of soil roughness which was directly related to the proportion and size of rock fragments. Although roughness seems to explain much of the variance from the radar backscatter signal, it was not clear how best to parameterize the roughness properties. Continued research includes modeling and separating moisture and rouhgness influences. |
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Palavras-Chave: |
Regiao semi arida. |
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Thesagro: |
Radar; Sensoriamento Remoto; Umidade do Solo. |
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Thesaurus NAL: |
remote sensing; semiarid zones; soil water content. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02250naa a2200277 a 4500
001 1564698
005 2002-04-18
008 1996 bl uuuu u00u1 u #d
100 1 $aSANO, E. E.
245 $aAnalysis of ERS-1 SAR data to study soil moisture content in rocky soils.
260 $c1996
300 $ap. 157-159.
500 $aIGARSS'96.
520 $aThe objective of this research was to analyze the potential of ERS-1 SAR data to study the surface soil moisture content of rocky soils in semi-arid regions. The study took place at the Walnut Gulch Experimental Watershed, Tombstone, AZ. Field soil moisture contents and dry bulk densities in the top 5 cm were obtained from 51 different sampling sites in the watershed during a satellite overpass on July 25,1994. One set of 22 points was characterized by a sandy soil, 3-15% slope, and vegetation dominatedby shrubs. Another set of 29 sampling sites was characterized by a clayey soil, 0-3% slope, and covered by grasses and forbes. Soil roughness was measured at eight of these sites. The SAR image was georeferenced in the Universal Transverse Mercator (UTM) coordinate system and calibrated using a digital elevation model (DEM). In general, the correlation between volumetric soil moisture content and the radar backscatter signal was poor, but improved (r= 0.78 and 0.41 for the first and second sets, respectively) when limited to low correlation was due to the dominant influence of soil roughness which was directly related to the proportion and size of rock fragments. Although roughness seems to explain much of the variance from the radar backscatter signal, it was not clear how best to parameterize the roughness properties. Continued research includes modeling and separating moisture and rouhgness influences.
650 $aremote sensing
650 $asemiarid zones
650 $asoil water content
650 $aRadar
650 $aSensoriamento Remoto
650 $aUmidade do Solo
653 $aRegiao semi arida
700 1 $aHUETE, A. R.
700 1 $aTROUFLEAU, D.
700 1 $aMORAN, M. S.
700 1 $aVIDAL, A.
773 $tIn: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 1996, Lincoln, NB. Remote sensing for a sustainable future. [S.l.: IEEE], 1996.
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