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Registros recuperados : 134 | |
81. | | COELHO, M. R.; DART, R. de O.; VASQUES, G. de M.; TEIXEIRA, W. G.; OLIVEIRA, R. P. de; BREFIN, M. de L. M.; BERBARA, R. L. L. Levantamento pedológico semi-detalhado (1:30.000) do Parque Estadual da Mata Seca, Município de Manga - MG. Rio de Janeiro: Embrapa Solos, 2013. 264 p. il. color. (Embrapa Solos. Boletim de pesquisa e desenvolvimento, 217). Biblioteca(s): Embrapa Solos. |
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82. | | VASQUES, G. M.; DEMATTÊ, J. A. M.; VISCARRA ROSSEL, R. A.; RAMÍREZ LÓPEZ, S.; TERRA, F. S.; RIZZO, R.; SOUZA FILHO, C. R. de. Integrating geospatial and multi-depth laboratory spectral data for mapping soil classes in a geologically complex area in southeastern Brazil. European Journal of Soil Science, v. 66, n. 4, p. 767-779, Jul. 2015. Biblioteca(s): Embrapa Solos. |
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84. | | VASQUES, G. de M.; RODRIGUES, H. M.; COELHO, M. R.; BACA, J. F. M.; DART, R. de O.; OLIVEIRA, R. P. de; TEIXEIRA, W. G.; CEDDIA, M. B. Field proximal soil sensor fusion for improving high-resolution soil property maps. Soil Systems, v. 4, n. 3, 52, 2020. Biblioteca(s): Embrapa Solos. |
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85. | | MARTINS, A. M. M.; CARVALHO JUNIOR, W. de; DART, R. de O.; BHERING, S. B.; VASQUES, G. M.; PEREIRA, N. R.; CHAGAS, C. da S. Geração de imagem média na plataforma GEE para o município de Rio Brilhante (MS). In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 20., 2023, Florianópolis. Anais [...]. São José dos Campos: Instituto Nacional de Pesquisas Espaciais, 2023. p. 785-788. Biblioteca(s): Embrapa Solos. |
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86. | | NASCIMENTO, C. W. R. do; RODRIGUES, H. M.; CEDDIA, M. B.; VASQUES, G. de M.; DURÃO, S. M. de O.; FIGUEIRA, H. F. V. Identificação de limites entre duas classes de solo utilizando radar de penetração no solo com profundidades ajustadas por barras de ferro e validação com trado holandês. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 18., 2019, Fortaleza. Geografia física e as mudanças globais. Fortaleza: Editora UFC, 2019. Biblioteca(s): Embrapa Solos. |
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87. | | NASCIMENTO, C. W. R. do; RODRIGUES, H. M.; CEDDIA, M. B.; VASQUES, G. de M.; DURÃO, S. M. de O.; SANTOS, W. de M.; FREIRE, M. de O. Identificação em profundidade de barras de ferro utilizando radar de penetração do solo (GPR) com antena de 450 MHz em três classes de solo. In: SIMPÓSIO BRASILEIRO DE GEOGRAFIA FÍSICA APLICADA, 18., 2019, Fortaleza. Geografia física e as mudanças globais. Fortaleza: Editora UFC, 2019. Biblioteca(s): Embrapa Solos. |
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90. | | VASQUES, G. de M.; RODRIGUES, H. M.; HUBER, E.; TAVARES, S. R. de L.; MARQUES, F. A.; SILVA, M. S. L. da. Ground penetrating radar non-invasively positions an underground dam and estimates its water reservoir shape and volume. In: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online. Biblioteca(s): Embrapa Solos. |
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91. | | GRUNWALD, S.; CHAIKAEW, P.; CAO, B.; XIONG, X.; VASQUES, G. M.; KIM, J.; ROSS, C. W.; CLINGENSMITH, C. M.; XU, Y.; GAVILAN, C. The meta soil model: an integrative framework to model soil carbon across various ecosystems and scales. In: ZHANG, G.-L.; BRUS, D.; LIU, F.; SONG, X.-D.; LAGACHERIE, P. (Ed.). Digital soil mapping across paradigms, scales and boundaries. New York: Springer, 2016. cap. 14, p. 165-179. Biblioteca(s): Embrapa Solos. |
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92. | | COELHO, R. M.; DIAS, L. M. da S.; MACEDO, J. R. de; SILVA NETO, L. de F. da; VASQUES, G. de M.; OLIVEIRA, S. R. de M. Mapeamento convencional e digital de classes de solos desenvolvidos de arenitos em microbacia hidrográfica em Botucatu, SP. In: CASTRO, S. S. de; HERNANI, L. C. (Ed.). Solos frágeis: caracterização, manejo e sustentabilidade. Brasília, DF: Embrapa, 2015. pt. 1, cap. 4, p. 89-109. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Solos. |
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93. | | DIAS, L. M. da S.; COELHO, R. M.; MACEDO, J. R. de; SILVA NETO, L. de F. da; VASQUES, G. de M. Mapeamento pedológico detalhado da bacia do córrego Águas da Lúcia, município de Botucatu- SP. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 34., 2013, Florianópolis. Anais... Florianópolis: Sociedade Brasileira de Ciência do Solo, 2013. Biblioteca(s): Embrapa Solos. |
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94. | | LÁZARO, M. L.; VASQUES, G. de M.; MATA, M. G. F. da; GUERRA, J. G. M.; CEDDIA, M. B.; PINHEIRO, E. F. M. Qualitative evaluation of soil organic matter using Vis-NIR diffuse reflectance spectroscopy in an agroecological production system in Seropédica, Rio de Janeiro (Brazil). In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019. v. 2, p. 536. WCSS 2018. Biblioteca(s): Embrapa Agrobiologia; Embrapa Solos. |
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95. | | LAZARO, M. L.; VASQUES, G. M.; MATA, M. G. F. da; GUERRA, J. G. M.; CEDDIA, M. B.; PINHERO, E. F. M. Qualitative evaluation of soil organic matter using VisNIR diffuse reflectance spectroscopy in an agroecological production system in Seropédica, Rio de Janeiro (Brazil). In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019 v. 2. p. 536 WCSS 2018. Biblioteca(s): Embrapa Agrobiologia. |
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96. | | MARTINS, A. M. M.; VASQUES, G. M.; DART, R. de O.; CARVALHO JUNIOR, W. de; BHERING, S. B.; CHAGAS, C. da S.; PEREIRA, N. R.; CALDERANO FILHO, B. Série temporal do MapBiomas evidencia expansão agrícola e focos de erosão na bacia hidrográfica do Rio Iguatemi, Mato Grosso do Sul. In: SIMPÓSIO BRASILEIRO DE RECURSOS HÍDRICOS, 25., 2023, Aracaju. Anais [...]. Porto Alegre: Associação Brasileira de Recursos Hídricos, 2023. Ref. XXV-SBRH0227. Biblioteca(s): Embrapa Solos. |
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99. | | COELHO, M. R.; VASQUES, G. de M.; TASSINARI, D.; SOUZA, Z. R. de; OLIVEIRA, A. P. de; MOREIRA, F. M. S. Soils of the Brazilian Quadrilátero Ferrífero, Minas Gerais state, under different native vegetation and parent materials. In: WORLD CONGRESS OF SOIL SCIENCE, 21., 2018, Rio de Janeiro. Soil science: beyond food and fuel: proceedings... Viçosa, MG: SBCS, 2019. v. 2, p. 60. WCSS 2018. Biblioteca(s): Embrapa Solos. |
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100. | | GRUNWALD, S.; MYERS, D.; VASQUES, G. de M.; XIONG, X.; ROSS, C.; CHAIKAEW, P.; STOPPE, A.; KNOX, N.; COMERFORD, N.; HARRIS, W. Spatially-explicit and spectral soil carbon modeling in Florida. In: ASA, CSSA AND SSSA INTERNATIONAL ANNUAL MEETINGS, 2011, San Antonio. Abstracts... San Antonio: ASA/CSSA/SSSA, 2011. Biblioteca(s): Embrapa Solos. |
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Registros recuperados : 134 | |
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Registro Completo
Biblioteca(s): |
Embrapa Solos; Embrapa Solos / UEP-Recife. |
Data corrente: |
28/08/2023 |
Data da última atualização: |
06/12/2023 |
Tipo da produção científica: |
Boletim de Pesquisa e Desenvolvimento |
Autoria: |
NASCIMENTO, C. W. R. do; CEDDIA, M. B.; VASQUES, G. M.; RODRIGUES, H. M.; MARTINS, S. S.; OLIVEIRA, R. P. de; TAVARES, S. R. de L. |
Afiliação: |
CARLOS WAGNER RODRIGUES DO NASCIMENTO, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; MARCOS BACIS CEDDIA, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; GUSTAVO DE MATTOS VASQUES, CNPS; HUGO MACHADO RODRIGUES, UNIVERSIDADE FEDERAL RURAL DO RIO DE JANEIRO; SAULO SIQUEIRA MARTINS, UNIVERSIDADE FEDERAL DO PARÁ; RONALDO PEREIRA DE OLIVEIRA, CNPS; SILVIO ROBERTO DE LUCENA TAVARES, CNPS. |
Título: |
Identifying soil horizons transitions for ground-truthing and interpreting ground penetrating radar (GPR) imagery of Planosols. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Rio de Janeiro: Embrapa Solos, 2023. |
Descrição Física: |
E-book. |
Série: |
(Embrapa Solos. Boletim de pesquisa e desenvolvimento, 285). |
ISSN: |
1678-0892 |
Idioma: |
Inglês |
Conteúdo: |
The Ground Penetrating Radar (GPR) has potential to characterize soils both vertically and horizontally. The effectiveness of using GPR relies on the interpretation of soil targets in the radargrams. For identifying the targets in their correct depths, a velocity model of the terrain is required. However, a velocity model cannot be directly obtained from GPR models using a monostatic antenna. An alternative is the generation of a depth model by measuring the velocity of the electromagnetic pulse from hyperbolas created in the radargram from the interaction of the pulse with point scatterers. On the other hand, the radargram does not always present these point scatterers for the estimation of the pulse velocity and generation of an accurate depth model. Thus, this work aimed to assess the feasibility of using iron rods as markers of the depths of soil horizons transitions in GPR images (750 MHz antenna) of Planosols, and as point scatterers to generate hyperbolas for deriving depth models for converting the Y-axis of the radargram from time to depth units. The experimental area is located in Seropédica municipality, southeastern Brazil. Three soil profiles were described and classified as Planosols, which were located at the footslope position. Iron rods (80-cm long by 8-mm in diameter) were inserted horizontally in the transitions of the soil horizons. Images (radargrams) were obtained using a GPR with a monostatic shielded antenna of 750 MHz frequency. The radargrams were pre-processed using static correction and dewow to remove noise. The pulse velocity was estimated by fitting the hyperbolas generated by the buried iron rods. As results, the 750 MHz antenna allowed visualizing the iron rods features (hyperbolas), especially in sandier horizons in the radargrams. Pulse velocity estimation was possible, which allowed the time-to-depth conversion of the Y-axis, and thus, positioning vertically the horizons transitions in the radargrams. In Planosols, the vertical and horizontal distribution of the E-to-B horizon transitions, as imaged by the GPR, is important information for irrigation planning, land zoning and soil survey. MenosThe Ground Penetrating Radar (GPR) has potential to characterize soils both vertically and horizontally. The effectiveness of using GPR relies on the interpretation of soil targets in the radargrams. For identifying the targets in their correct depths, a velocity model of the terrain is required. However, a velocity model cannot be directly obtained from GPR models using a monostatic antenna. An alternative is the generation of a depth model by measuring the velocity of the electromagnetic pulse from hyperbolas created in the radargram from the interaction of the pulse with point scatterers. On the other hand, the radargram does not always present these point scatterers for the estimation of the pulse velocity and generation of an accurate depth model. Thus, this work aimed to assess the feasibility of using iron rods as markers of the depths of soil horizons transitions in GPR images (750 MHz antenna) of Planosols, and as point scatterers to generate hyperbolas for deriving depth models for converting the Y-axis of the radargram from time to depth units. The experimental area is located in Seropédica municipality, southeastern Brazil. Three soil profiles were described and classified as Planosols, which were located at the footslope position. Iron rods (80-cm long by 8-mm in diameter) were inserted horizontally in the transitions of the soil horizons. Images (radargrams) were obtained using a GPR with a monostatic shielded antenna of 750 MHz frequency. The radargrams were p... Mostrar Tudo |
Palavras-Chave: |
Dielectric constant; Exploration geophysics; Iron rods; Poximal soil sensing; Sensoriamento proximal do solo. |
Thesagro: |
Horizonte; Solo. |
Thesaurus NAL: |
Soil horizons. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1156146/1/CNPS-BPD-285-2023.epub
|
Marc: |
LEADER 03146nam a2200313 a 4500 001 2156146 005 2023-12-06 008 2023 bl uuuu u0uu1 u #d 022 $a1678-0892 100 1 $aNASCIMENTO, C. W. R. do 245 $aIdentifying soil horizons transitions for ground-truthing and interpreting ground penetrating radar (GPR) imagery of Planosols.$h[electronic resource] 260 $aRio de Janeiro: Embrapa Solos$c2023 300 $cE-book. 490 $a(Embrapa Solos. Boletim de pesquisa e desenvolvimento, 285). 520 $aThe Ground Penetrating Radar (GPR) has potential to characterize soils both vertically and horizontally. The effectiveness of using GPR relies on the interpretation of soil targets in the radargrams. For identifying the targets in their correct depths, a velocity model of the terrain is required. However, a velocity model cannot be directly obtained from GPR models using a monostatic antenna. An alternative is the generation of a depth model by measuring the velocity of the electromagnetic pulse from hyperbolas created in the radargram from the interaction of the pulse with point scatterers. On the other hand, the radargram does not always present these point scatterers for the estimation of the pulse velocity and generation of an accurate depth model. Thus, this work aimed to assess the feasibility of using iron rods as markers of the depths of soil horizons transitions in GPR images (750 MHz antenna) of Planosols, and as point scatterers to generate hyperbolas for deriving depth models for converting the Y-axis of the radargram from time to depth units. The experimental area is located in Seropédica municipality, southeastern Brazil. Three soil profiles were described and classified as Planosols, which were located at the footslope position. Iron rods (80-cm long by 8-mm in diameter) were inserted horizontally in the transitions of the soil horizons. Images (radargrams) were obtained using a GPR with a monostatic shielded antenna of 750 MHz frequency. The radargrams were pre-processed using static correction and dewow to remove noise. The pulse velocity was estimated by fitting the hyperbolas generated by the buried iron rods. As results, the 750 MHz antenna allowed visualizing the iron rods features (hyperbolas), especially in sandier horizons in the radargrams. Pulse velocity estimation was possible, which allowed the time-to-depth conversion of the Y-axis, and thus, positioning vertically the horizons transitions in the radargrams. In Planosols, the vertical and horizontal distribution of the E-to-B horizon transitions, as imaged by the GPR, is important information for irrigation planning, land zoning and soil survey. 650 $aSoil horizons 650 $aHorizonte 650 $aSolo 653 $aDielectric constant 653 $aExploration geophysics 653 $aIron rods 653 $aPoximal soil sensing 653 $aSensoriamento proximal do solo 700 1 $aCEDDIA, M. B. 700 1 $aVASQUES, G. M. 700 1 $aRODRIGUES, H. M. 700 1 $aMARTINS, S. S. 700 1 $aOLIVEIRA, R. P. de 700 1 $aTAVARES, S. R. de L.
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