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| 102. |  | SANO, E. E.; LUIZ, A. J. B.; ASSAD, E. D.; BEZERRA, H. S.; MOREIRA, L. Estimativa de erros cometidos pelo Sistema de Informacao Geograficas SGI na medida de areas de poligonos. In: CONFERENCIA LATINOAMERICANA SOBRE SISTEMAS DE INFORMACAO GEOGRAFICA, 4.; SIMPOSIO BRASILEIRO DE GEOPROCESSAMENTO, 2., 1993, Sao Paulo, SP. [s.n.t]. p.105-120.| Biblioteca(s): Embrapa Cerrados. |
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| 103. | | SANO, E. E.; LUIZ, A. J. B.; ASSAD, E. D.; BEZERRA, H. S.; MOREIRA, L. C. Estimativa de erros cometidos pelo Sistema de Informações Geográficas SGI na medida de áreas de polígonos. In: CONFERêNCIA LATINOAMERICANA SOBRE SISTEMAS DE INFORMAÇÃO GEOGRÁFICA, 4.; SIMPÓSIO BRASILEIRO DE GEOPROCESSAMENTO, 2., 1993, São Paulo. Anais... Sao Paulo: [s.n.], 1993. p.105-120.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 113. | | MATTHIAS, A. D.; FIMBRES, A.; SANO, E. E.; POST, D. F.; ACCIOLY, L. Soil albedo variations with solar elevation, surface roughness and moisture content. In: AMERICAN SOCIETY OF AGRONOMY ANNUAL MEETINGS, Anaheim, California, 1997. Agronomy abstracts. Anaheim: Soil Science Society of America, 1997. p. 17.| Biblioteca(s): Embrapa Cerrados. |
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| 114. | | RODRIGUES, L. N.; SANO, E. E.; PASSO, D. P.; MARIOTI, J. Small reservoir storage capacities using remotely sensed surface areas: a case of the Preto River Basin, Brazil. In: SIMPÓSIO NACIONAL CERRADO, 9.; SIMPÓSIO INTERNACIONAL SAVANAS TROPICAIS, 2., 2008, Brasília, DF. Desafios e estratégias para o equilíbrio entre sociedade, agronegócio e recursos naturais: anais... Planaltina, DF: Embrapa Cerrados, 2008. 1 CD-ROM.| Biblioteca(s): Embrapa Cerrados. |
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| 116. | | ANTONINI, J. C. dos A.; SILVA, E. M. DA; GRIEBELER, N. P.; SANO, E. E. Spatio-temporal modelling of the duration of the cotton cycle in the state of Goiás, Brazil. Engenharia Agrícola, Jaboticabal, v. 31, n. 4, p. 652-662, jul./ago. 2011.| Biblioteca(s): Embrapa Cerrados. |
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| 118. | | VALADÃO, L. V.; FONSECA, I. R.; CICERELLI, R. E.; ALMEIDA, T.; GARNIER, J.; SANO, E. E. Temporal dynamics of the hydropower water Reservoirs of the Tocantins - Araguaia Basin, Brazil, based on remote sensing and hydrometeorological station datasets. Water, v. 15, n. 9, 2023. p. 1-23| Biblioteca(s): Embrapa Cerrados. |
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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.; JIAGUO QI; HUETE, A. R.; MORAN, M. S. |
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Título: |
The use of SAR/TM synergy for estimating soil moisture content over a semi-arid rangeland. |
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Ano de publicação: |
1998 |
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Fonte/Imprenta: |
In: LATINO-AMERICAN SEMINAR ON RADAR REMOTE SENSING, 2., 1998, Santos,SP. Proceedings. [S.l.: s.n], 1998. |
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Páginas: |
p. 175-183. |
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Idioma: |
Inglês |
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Conteúdo: |
The C-band ERS-1 SAR data were combined with the Landsat TM data to improve the soil moisture estimates in a semiarid region. The SAR data were compared with the soil moisture measurements at three conditions: a) Without any correction for soil roughness and vegetation effects; b) corrected for soil roughnesseffects; and c) corrected for both soil roughness and vegetation effects. The soil roughness effects were taken into account by using a dry season SAR image. The vegetation influence was considered by using na empirical relationship between SAR and leaf area index data, the latter being derived from TM images. Results indicated that the contribution of soil roughness and vegetation in the radar backscatter were significant and they must be taken into account to accurate soil moisture estimations. |
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Palavras-Chave: |
Regiao semi-arida. |
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Thesagro: |
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 01540naa a2200241 a 4500
001 1564593
005 2002-04-02
008 1998 bl uuuu u00u1 u #d
100 1 $aSANO, E. E.
245 $aThe use of SAR/TM synergy for estimating soil moisture content over a semi-arid rangeland.
260 $c1998
300 $ap. 175-183.
520 $aThe C-band ERS-1 SAR data were combined with the Landsat TM data to improve the soil moisture estimates in a semiarid region. The SAR data were compared with the soil moisture measurements at three conditions: a) Without any correction for soil roughness and vegetation effects; b) corrected for soil roughnesseffects; and c) corrected for both soil roughness and vegetation effects. The soil roughness effects were taken into account by using a dry season SAR image. The vegetation influence was considered by using na empirical relationship between SAR and leaf area index data, the latter being derived from TM images. Results indicated that the contribution of soil roughness and vegetation in the radar backscatter were significant and they must be taken into account to accurate soil moisture estimations.
650 $aremote sensing
650 $asemiarid zones
650 $asoil water content
650 $aSensoriamento Remoto
650 $aUmidade do Solo
653 $aRegiao semi-arida
700 1 $aJIAGUO QI
700 1 $aHUETE, A. R.
700 1 $aMORAN, M. S.
773 $tIn: LATINO-AMERICAN SEMINAR ON RADAR REMOTE SENSING, 2., 1998, Santos,SP. Proceedings. [S.l.: s.n], 1998.
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