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Registros recuperados : 67 | |
1. | | BALIERO, F. de C.; CEDDIA, M. B.; PEREIRA, M. G.; RESENDE, A. S.; FRANCO, A. A. Biomassa de raízes e regime hídrico do solo em plantio de Pseudosamanea guachapele (Kunth) Harms em um planossolo háplico. Floresta, Curitiba, v. 35, n. 2, p. 221-230, maio/ago. 2005. Biblioteca(s): Embrapa Florestas. |
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3. | | VIANA, J. H. M.; DONAGEMMA, G. K.; CEDDIA, M. B.; UNTERLINE, B.; ANDRADE, H. M. Granulometria: análise convencional e teste de dispersantes químicos em solos da IX RCC. In: SILVA, L. M. da; ANJOS, L. H. C. dos; LUMBRERAS, J. F.; PEREIRA, M. G.; WADT, P. G. S. (Ed.). Pesquisas coligadas da IX Reunião Brasileira de Classificação e Correlação de Solos: solos de formações sedimentares em sistemas amazônicos: potencialidades e demandas de pesquisa. Brasília, DF: Embrapa, 2019. Biblioteca(s): Embrapa Milho e Sorgo; Embrapa Solos. |
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4. | | VIANA, J. H. M.; DONAGEMMA, G. K.; CEDDIA, M. B.; UNTERLINE, B.; ANDRADE, H. M. Granulometria dos solos da IX RCC do Acre. In: REUNIÃO BRASILEIRA DE CLASSIFICAÇÃO E CORRELAÇÃO DE SOLOS, 9., Rio Branco, AC. Solos sedimentares em sistemas amazônicos: potencialidades e demandas de pesquisa: anais. Rio Branco, AC: SBCS, 2010. Biblioteca(s): Embrapa Solos. |
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12. | | MORAES, A. G. de L.; CARVALHO, D. F. de; ANTUNES, M. A. H.; CEDDIA, M. B. Relationship between remote sensing data and field-observed interril erosion. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 53, n. 3, p.332-342, mar. 2018. Título em português: Relação entre dados de sensoriamento remoto e perdas de solo em entressulcos observadas em campo. Biblioteca(s): Embrapa Unidades Centrais. |
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15. | | LOUREIRO, D. C.; DE-POLLI, H.; CEDDIA, M. B.; AQUINO, A. M.; AZEVEDO, P. H. S. Variabilidade espacial da biomassa microbiana e constituintes lábeis da matéria orgânica do solo sob diferentes sistemas de manejo e cobertura vegetal. In: REUNIÃO BRASILEIRA DE FERTILIDADE DO SOLO E NUTRIÇÃO DE PLANTAS, 28., REUNIÃO BRASILEIRA SOBRE MICORRIZAS, 12., SIMPÓSIO BRASILEIRO DE MICROBIOLOGIA DO SOLO, 10., REUNIÃO BRASILEIRA DE BIOLOGIA DO SOLO, 7., 2008, Londrina. FertBio 2008: desafios para o uso do solo com eficiência e qualidade ambiental: anais. Londrina: Embrapa Soja: SBCS: IAPAR, UEL, 2008. 4 p. 1 CD-ROM. Parceria: UFRRJ.
Organizado por: Adilson de Oliveira Júnior, Regina Maria Villas Bôas de Campos Leite, César de Castro, Fábio Álvares de Oliveira; Odilon Ferreira Saraiva. Biblioteca(s): Embrapa Agrobiologia. |
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17. | | LOUREIRO, D. C.; DE-POLLI, H.; AQUINO, A. M. de; CEDDIA, M. B.; BERBARA, R. L. L.; ZATORRE, N. P. Biomasa microbiana e constituintes lábeis da matéria orgânica do solo sob diferentes sistemas de manejo e cobertura vegetal. In: REUNIÃO BRASILEIRA DE MANEJO E CONSERVAÇÃO DO SOLO E DA ÁGUA, 17., 2008, Rio de Janeiro. Manejo e conservação do solo e da água no contexto das mudanças ambientais. Rio de Janeiro: SBCS: Embrapa Solos: Embrapa Agrobiologia, 2008. 4 p. 1 CD-ROM. (Embrapa Solos. Documentos, 101). Parceria: UFRRJ. Biblioteca(s): Embrapa Agrobiologia. |
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20. | | SILVA, S. N.; PINHEIRO, E. F. M.; CEDDIA, M. B.; ANJOS, L. H. C.; ALVES, B. J. R.; UNTERLEITNER, B. Emissões de óxido nitroso em Solos sob pastagem em função da topografia no Rio de Janeiro. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 32., 2 a 7 de agosto de 2009, Fortaleza. Trabalhos... Fortaleza: Sociedade Brasileira de Ciência do Solo, 2009. Biblioteca(s): Embrapa Agrobiologia. |
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Registros recuperados : 67 | |
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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
06/03/2018 |
Data da última atualização: |
10/11/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
PINHEIRO, E. F. M.; CEDDIA, M. B.; CLINGENSMITH, C. M.; GRUNWALD, S.; VASQUES, G. de M. |
Afiliação: |
ÉRIKA F. M. PINHEIRO, UFRRJ; MARCOS BACIS CEDDIA, UFRRJ; CHRISTOPHER M. CLINGENSMITH, UNIVERSITY OF FLORIDA; SABINE GRUNWALD, UNIVERSITY OF FLORIDA; GUSTAVO DE MATTOS VASQUES, CNPS. |
Título: |
Prediction of soil physical and chemical properties by visible and near-infrared diffuse reflectance spectroscopy in the Central Amazon. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Remote Sensing, v. 9, n. 4, Apr. 2017. |
DOI: |
https://doi.org/10.3390/rs9040293 |
Idioma: |
Inglês |
Conteúdo: |
Visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization. The first step in this process is to develop a comprehensive VIS-NIR soil library of multiple key soil properties to be used in future soil surveys. This paper presents the first VIS-NIR soil library for a remote region in the Central Amazon. We evaluated the performance of VIS-NIR for the prediction of soil properties in the Central Amazon, Brazil. Soil properties measured and predicted were: pH, Ca, Mg, Al, H, H+Al, P, organic C (SOC), sum of bases, cation exchange capacity (CEC), percentage of base saturation (V), Al saturation (m), clay, sand, silt, silt/clay (S/C), and degree of flocculation. Soil samples were scanned in the laboratory in the VIS-NIR range (350-2500 nm), and forty-one pre-processing methods were tested to improve predictions. Clay content was predicted with the highest accuracy, followed by SOC. Sand, S/C, H, Al, H+Al, CEC, m and V predictions were reasonably good. The other soil properties were poorly predicted. Among the soil properties predicted well, SOC is one of the critical soil indicators in the global carbon cycle. Besides the soil property of interest, the landscape position, soil order and depth influenced in the model performance. For silt content, pH and S/C, the model performed better in well-drained soils, whereas for SOC best predictions were obtained in poorly drained soils. The association of VIS-NIR spectral data to landforms, vegetation classes, and soil types demonstrate potential for soil characterization. MenosVisible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization. The first step in this process is to develop a comprehensive VIS-NIR soil library of multiple key soil properties to be used in future soil surveys. This paper presents the first VIS-NIR soil library for a remote region in the Central Amazon. We evaluated the performance of VIS-NIR for the prediction of soil properties in the Central Amazon, Brazil. Soil properties measured and predicted were: pH, Ca, Mg, Al, H, H+Al, P, organic C (SOC), sum of bases, cation exchange capacity (CEC), percentage of base saturation (V), Al saturation (m), clay, sand, silt, silt/clay (S/C), and degree of flocculation. Soil samples were scanned in the laboratory in the VIS-NIR range (350-2500 nm), and forty-one pre-processing methods were tested to improve predictions. Clay content was predicted with the highest accuracy, followed by SOC. Sand, S/C, H, Al, H+Al, CEC, m and V predictions were reasonably good. The other soil properties were poorly predicted. Among the soil properties predic... Mostrar Tudo |
Palavras-Chave: |
Carbono orgânico do solo; Pré-processamento espectral; Quimiometria; Solos tropicais. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173558/1/2018-003.pdf
|
Marc: |
LEADER 02749naa a2200229 a 4500 001 2088619 005 2021-11-10 008 2017 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/rs9040293$2DOI 100 1 $aPINHEIRO, E. F. M. 245 $aPrediction of soil physical and chemical properties by visible and near-infrared diffuse reflectance spectroscopy in the Central Amazon.$h[electronic resource] 260 $c2017 520 $aVisible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization. The first step in this process is to develop a comprehensive VIS-NIR soil library of multiple key soil properties to be used in future soil surveys. This paper presents the first VIS-NIR soil library for a remote region in the Central Amazon. We evaluated the performance of VIS-NIR for the prediction of soil properties in the Central Amazon, Brazil. Soil properties measured and predicted were: pH, Ca, Mg, Al, H, H+Al, P, organic C (SOC), sum of bases, cation exchange capacity (CEC), percentage of base saturation (V), Al saturation (m), clay, sand, silt, silt/clay (S/C), and degree of flocculation. Soil samples were scanned in the laboratory in the VIS-NIR range (350-2500 nm), and forty-one pre-processing methods were tested to improve predictions. Clay content was predicted with the highest accuracy, followed by SOC. Sand, S/C, H, Al, H+Al, CEC, m and V predictions were reasonably good. The other soil properties were poorly predicted. Among the soil properties predicted well, SOC is one of the critical soil indicators in the global carbon cycle. Besides the soil property of interest, the landscape position, soil order and depth influenced in the model performance. For silt content, pH and S/C, the model performed better in well-drained soils, whereas for SOC best predictions were obtained in poorly drained soils. The association of VIS-NIR spectral data to landforms, vegetation classes, and soil types demonstrate potential for soil characterization. 653 $aCarbono orgânico do solo 653 $aPré-processamento espectral 653 $aQuimiometria 653 $aSolos tropicais 700 1 $aCEDDIA, M. B. 700 1 $aCLINGENSMITH, C. M. 700 1 $aGRUNWALD, S. 700 1 $aVASQUES, G. de M. 773 $tRemote Sensing$gv. 9, n. 4, Apr. 2017.
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