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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados; Embrapa Solos. |
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Data corrente: |
25/08/1997 |
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Data da última atualização: |
25/08/1997 |
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Autoria: |
SANO, E. E. |
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Título: |
Sensitivity analysis of C- and Ku- band synthetic aperture radar data to soil moisture content in a semiarid region. |
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Ano de publicação: |
1997 |
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Fonte/Imprenta: |
[Tucson]: University of Arizona, 1997. |
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Páginas: |
122p. |
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Idioma: |
Inglês |
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Notas: |
Ph-D. Thesis. |
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Conteúdo: |
In this study, the sensitivity of the C-band (5.3 GHz) with a 23 incidence angle and the Ku-band (14.85 GHz) with 35, 55, and 75 incidence angles to surface soil moisture content from a semiarid region were evaluated. To obtain an improved soil moisture estimation, a practical technique to reduce the influence of soil roughness and vegetation in the SAR data was developed in a study area located in the Walnut Gulch Experimental Watershed, a representative site of shrub- and grass-dominated rangelands of the southwestern part of the United States. To correct for soil roughness effects, the C-band radar backscattering coefficients 0 from a wet season image were substracted from 0 derived from a dry season was dependent only on the soil roughness effects. To coorrect for soil roughness effects, the C-band radar backscattering coefficients o from a wet season imagem were subtrated from o derived from a dry season image. The assumption was that, in semiarid regions, the SAR data from the dry season was dependent only on the soil roughness effects. To correct for vegetation effects, an empirical relation between and leaf area index was used, the latter derived from Landsat Thematic Mapper data. The results showed that when both soil roughness and vegetation effects were corrected for, the sensitivity of o to soil moisture improved substantially. The sensitivity of o to soil moisture was also evaluated in agricultural fields with bare soil and periodic roughness components (planting row and furrow structures). Four types of SAR system configurations were analyzed: C-band with a 23 incidence angle and Ku-ban with 35, 55, and 75 incidence angles. The test sites were located at the University of Arizona's Maricopa Agricultural Center, south of Phoenix, Arizona. The results showed that the sensitivity of o to soil moisture was strongly dependent upon the field conditions. The SAR signals were nearly insensitive to soil moisture for furrowed fields (furrow spacing ~ 95 cm; amplitude ~ 22 cm), but for fields with planting row structure (row spacing ~ 24 cm; amplitude ~ 2cm), the SAR data were sensitive to soil moisture, particularly with the C-band at a ?23 incidence angle and the Ku-band with a 35 incidence angle, regardless of the arow direction. MenosIn this study, the sensitivity of the C-band (5.3 GHz) with a 23 incidence angle and the Ku-band (14.85 GHz) with 35, 55, and 75 incidence angles to surface soil moisture content from a semiarid region were evaluated. To obtain an improved soil moisture estimation, a practical technique to reduce the influence of soil roughness and vegetation in the SAR data was developed in a study area located in the Walnut Gulch Experimental Watershed, a representative site of shrub- and grass-dominated rangelands of the southwestern part of the United States. To correct for soil roughness effects, the C-band radar backscattering coefficients 0 from a wet season image were substracted from 0 derived from a dry season was dependent only on the soil roughness effects. To coorrect for soil roughness effects, the C-band radar backscattering coefficients o from a wet season imagem were subtrated from o derived from a dry season image. The assumption was that, in semiarid regions, the SAR data from the dry season was dependent only on the soil roughness effects. To correct for vegetation effects, an empirical relation between and leaf area index was used, the latter derived from Landsat Thematic Mapper data. The results showed that when both soil roughness and vegetation effects were corrected for, the sensitivity of o to soil moisture improved substantially. The sensitivity of o to soil moisture was also evaluated in agricultural fields with bare soil and periodic roughness components (plantin... Mostrar Tudo |
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Palavras-Chave: |
Zona 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 02879nam a2200205 a 4500
001 1557028
005 1997-08-25
008 1997 bl uuuu m 00u1 u #d
100 1 $aSANO, E. E.
245 $aSensitivity analysis of C- and Ku- band synthetic aperture radar data to soil moisture content in a semiarid region.
260 $a[Tucson]: University of Arizona$c1997
300 $a122p.
500 $aPh-D. Thesis.
520 $aIn this study, the sensitivity of the C-band (5.3 GHz) with a 23 incidence angle and the Ku-band (14.85 GHz) with 35, 55, and 75 incidence angles to surface soil moisture content from a semiarid region were evaluated. To obtain an improved soil moisture estimation, a practical technique to reduce the influence of soil roughness and vegetation in the SAR data was developed in a study area located in the Walnut Gulch Experimental Watershed, a representative site of shrub- and grass-dominated rangelands of the southwestern part of the United States. To correct for soil roughness effects, the C-band radar backscattering coefficients 0 from a wet season image were substracted from 0 derived from a dry season was dependent only on the soil roughness effects. To coorrect for soil roughness effects, the C-band radar backscattering coefficients o from a wet season imagem were subtrated from o derived from a dry season image. The assumption was that, in semiarid regions, the SAR data from the dry season was dependent only on the soil roughness effects. To correct for vegetation effects, an empirical relation between and leaf area index was used, the latter derived from Landsat Thematic Mapper data. The results showed that when both soil roughness and vegetation effects were corrected for, the sensitivity of o to soil moisture improved substantially. The sensitivity of o to soil moisture was also evaluated in agricultural fields with bare soil and periodic roughness components (planting row and furrow structures). Four types of SAR system configurations were analyzed: C-band with a 23 incidence angle and Ku-ban with 35, 55, and 75 incidence angles. The test sites were located at the University of Arizona's Maricopa Agricultural Center, south of Phoenix, Arizona. The results showed that the sensitivity of o to soil moisture was strongly dependent upon the field conditions. The SAR signals were nearly insensitive to soil moisture for furrowed fields (furrow spacing ~ 95 cm; amplitude ~ 22 cm), but for fields with planting row structure (row spacing ~ 24 cm; amplitude ~ 2cm), the SAR data were sensitive to soil moisture, particularly with the C-band at a ?23 incidence angle and the Ku-band with a 35 incidence angle, regardless of the arow direction.
650 $aremote sensing
650 $asemiarid zones
650 $asoil water content
650 $aSensoriamento Remoto
650 $aUmidade do Solo
653 $aZona semi arida
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Registro original: |
Embrapa Cerrados (CPAC) |
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| Registros recuperados : 4 | |
| 1. |  | LEITE FILHO, H. P.; PINTO, I. P.; OLIVEIRA, L. G.; COSTA, E. O. A.; CRUZI, A. S. da; SILVA, D. de M. e; SILVA, C. C. da; CAETANO, A. R.; CRUZ, A. D. da. Deviation from Mendelian transmission of autosomal SNPs can be used to estimate germline mutations in humans exposed to ionizing radiation. PLoS ONE, v. 15, n. 10, e0233941, 2020.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 2. | | NESHICH, G.; MANCINI, A. L.; YAMAGISHI, M. E. B.; FALCAO, P. R. K.; FILETO, R.; PINTO, I. P.; PALANDRANI, J. F.; KRAUCHENCO, J. N.; BAUDET, C.; MONTAGNER, A. J.; HIGA, R. H. STING Report: convenient web-based application for graphic and tabular presentations of protein sequence, structure and function descriptors from the STING database. Nucleic Acids Research, v. 33, p. D269-D274, 2005. Na publicação: Paula R. Kuser.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 3. | | NESHICH, G.; ROCCHIA, W.; MANCINI, A. L.; YAMAGISHI, M. E. B.; KUSER, P. R.; FILETO, R.; BAUDET, C.; PINTO, I. P.; MONTAGNER, A. J.; PALANDRANI, J. F.; KRAUCHENCO, J. N.; TORRES, R. C.; SOUZA, S.; TOGAWA, R. C.; HIGA, R. H. Java Protein Dossier: a novel web-based data visualization tool for comprehensive analysis of protein structure. Nucleic Acids Research, v. 32, W595-W601, 2004.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 4. | | NESHICH, G.; YAMAGISHI, M. E. B.; ROCCHIA, W.; MANCINI, A. L.; FALCAO, P. R. K.; FILETO, R.; BAUDET, C.; PINTO, I. P.; MONTAGNER, A. J.; PALANDRANI, J. F.; KRAUCHENCO, J. N.; TORRES, R. C.; BEZERRA, G. B. P.; SOUZA, S.; TOGAWA, R. C.; HIGA, R. H. Protein structure analysis and visualization using Java Protein Dossier. In: INTERNATIONAL CONFERENCE ON CHEMOMETRICS AND BIOINFORMATICS IN ASIA, 2004, Shanghai. Proceedings... Shanghai: [s.n.], 2004. 1 p. CCBA 2004. Na publicação: Paula R. Kuser.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 4 | |
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