Procedures using diffuse reflectance spectroscopy for estimating hematite and goethite in Oxisols of São Paulo, Brazil

Bahia, Angélica Santos Rabelo de Souza; Marques, José Carlos; Siqueira, Diego Silva

doi:10.1016/j.geodrs.2015.04.006

Cited by 35 publications

(16 citation statements)

References 28 publications

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“…The variation in MS among the profiles in the clay fraction was directly related with the Fe s content (Table 1), in agreement with the findings of Matias et al (2013) and Bahia et al (2015).…”

Section: Resultssupporting

confidence: 89%

“…The MS values ranged from 19.3 (C2) to 47.7 10 -6 m 3 kg -1 (C3) ( Table 3), very close to the results of Bahia et al (2015) for soils derived from basalt (10-45 10 -6 m 3 kg -1…”

Section: Resultssupporting

confidence: 77%

“…Although goethite and hematite are antiferromagnetic minerals with low magnetism, they are present in the formation of other ferromagnetic minerals contained in the clay fraction, e.g., ferromagnetic maghemite and ferrihydrite (Barrón et al, 2000;Michel et al, 2010). According to Bahia et al (2015), the estimation of soil minerals by MS in basaltic soil is ideally improved by the construction of calibration curves after selective dissolution, to reduce possible interferences of lithogenic minerals such as magnetite.…”

Section: Resultsmentioning

confidence: 99%

See 2 more Smart Citations

Magnetic Susceptibility of Soil to Differentiate Soil Environments in Southern Brazil

Ramos¹,

Dalmolin²,

Júnior³

et al. 2017

Rev. Bras. Ciênc. Solo

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ABSTRACT:The interest in new techniques to support digital soil mapping (DSM) is increasing. Numerous studies pointed out that the measure of magnetic susceptibility (MS) can be extremely useful in the identification of properties related with factors and processes of soil formation, applied to soil mapping. This study addressed the effectiveness of magnetic soil susceptibility to identify and facilitate the distinction of different pedogenic environments of a representative hillslope in the highland Planalto Médio in the state of Rio Grande do Sul (RS), Brazil. In a 350-ha area in the municipality of Santo Augusto, RS, a representative transect was selected, trenches opened for soil characterization and 29 grid points marked at regular distances of 50 m, where soil samples were collected (layers 0.00-0. 05, 0.05-0.15, 0.15-0.30, and 0.30-0.60 m) to analyze soil properties. Data from the transect samples were subjected to descriptive statistics. Limits of the pedogenetic environments along the slope were identified by the Split Moving Window (SMW) Boundary Analysis. The combined use of soil magnetic susceptibility and the SMW technique was effective in identifying different pedogenetic environments in the study area.

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Section: Resultssupporting

confidence: 89%

“…The MS values ranged from 19.3 (C2) to 47.7 10 -6 m 3 kg -1 (C3) ( Table 3), very close to the results of Bahia et al (2015) for soils derived from basalt (10-45 10 -6 m 3 kg -1…”

Section: Resultssupporting

confidence: 77%

Section: Resultsmentioning

confidence: 99%

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Magnetic Susceptibility of Soil to Differentiate Soil Environments in Southern Brazil

Ramos¹,

Dalmolin²,

Júnior³

et al. 2017

Rev. Bras. Ciênc. Solo

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“…Com à evolução dos sensores e de técnicas mais refinadas de quantificação, a cor ganha novas aplicações e perspectivas para a caracterização da variabilidade dos atributos do solo de caráter agronômico, como o teor de argila, o fósforo adsorvido e a saturação por bases, por exemplo (Marques Jr. et al, 2014;Camargo et al, 2015). Os parâmetros da cor do solo (matiz, valor, croma), quando determinados pela leitura da reflectância do solo na faixa do visível (350 a 750 nm), podem ser utilizados na estimativa do teor de óxidos de ferro, como hematita e goethita (Viscarra Rossel et al, 2010;Bahia et al, 2015), carbono total (Xie et al, 2011) e outras importantes propriedades do solo que covariam com ela, tanto do ponto de vista pedológico quanto do agronômico (Barrón et al, 2000;Barrón & Torrent, 2013). A cor pode ser determinada de diferentes maneiras (Torrent & Barrón, 2008).…”

Section: Introductionunclassified

Cor do solo na identificação de áreas com diferentes potenciais produtivos e qualidade de café

Carmo

Júnior

Siqueira

et al. 2016

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi verificar a eficácia da cor do solo na identificação de áreas com diferentes potenciais produtivos e qualidade de café, em Argissolo Vermelho-Amarelo desenvolvido de arenito, no Planalto Ocidental Paulista, no Estado de São Paulo. Coletaram-se 173 amostras em 39 ha, para a determinação de matiz, valor, croma e índice de avermelhamento do solo, com base nos dados da espectroscopia de reflectância difusa (ERD). Avaliaram-se, também, a produtividade e a qualidade do fruto de café, e calculou-se o índice de diagnose foliar (DRIS). A maior correlação espacial observada pelo variograma cruzado ocorreu entre matiz e DRIS, em pontos distantes em até 497 m. A menor correlação espacial foi observada em croma e produção, em pontos distantes em até 207 m. As áreas com o maior potencial de produtividade (20 a 33 sacas por hectare) apresentaram matiz entre 6,99 e 7,06, croma entre 5,00 e 5,08 e valor entre 4,40 e 4,45. As áreas com o menor potencial de produtividade (3 a 7 sacas por hectare) apresentaram matiz entre 7,27 e 7,68, croma entre 5,20 e 5,28 e valor entre 4,51 e 4,67. Nestes locais, o teor de argila foi de 16 g kg -1, os teores de P variaram entre 65 e 75 mg dm . O uso da cor determinada por ERD é eficaz para identificar áreas com diferentes potenciais produtivos e qualidade de café, com precisão de 61 a 97%.Termos para indexação: Coffea arabica, cor do solo, geoestatística, pedometria. Soil color for the identification of areas with different yield potential and coffee qualityAbstract -The objective of this work was to verify soil color effectiveness for the identification of areas with different yield potentials and coffee quality, in an Ultisol developed from sandstone, in Planalto Ocidental Paulista, in the state of São Paulo, Brazil. One hundred seventy-three samples were collected from 39 ha, for the determination of hue, value, chroma, and the soil redness index, based on data of diffuse reflectance spectroscopy (DRS). Productivity and quality of coffee fruit were also evaluated, and the leaf diagnosis index (DRIS) was calculated. The highest spatial correlation, observed in the cross variogram, occurred between hue and DRIS in points up to 497 m apart. The lowest spatial correlation was observed for chroma and production, in points spaced by up to 207 m. The areas with the highest yield potential (20 to 33 bags per hectare) showed hue between 6.99 and 7.06, croma between 5.00 and 5.08, and value between 4.40 and 4.45. The areas with the lowest productivity potential (3 to 7 bags per hectare) showed hue between 7.27 and 7.68, chroma between 5.20 and 5.28, and value between 4.51 and 4.67. In these places, clay content was of 16 g kg -1, P levels varied between 65 and 75 mg dm . The use of the color determined by DRS is effective to identify areas with different productive potentials and coffee quality, with 61 to 97% accuracy.

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“…Understanding soils, considering all their attributes and processes of formation, is essential to monitor them (Viscarra Rossel et al, 2016). However, laboratory analyses are generally costly and time-consuming, restricting the number of samples representative of a region (Viscarra Rossel, 2011;Bahia et al, 2015;Demattê et al, 2016). In this context, the use of spectral signature emerges as an alternative methodology for this task.…”

Section: Introductionmentioning

confidence: 99%

Magnetic and spectral signatures of Cerrado soils in the state of Goiás, Brazil

Fernandes

Ribon

Marques

et al. 2017

Pesq. agropec. bras.

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-The objective of this work was to estimate the iron oxide contents (hematite and goethite) and to characterize the color and the spectral and magnetic signatures of Cerrado soils in the state of Goiás, Brazil. Six Oxisols and one Inceptisol were studied. Spectral and magnetic signatures were determined by diffuse reflectance spectroscopy (DRS) and magnetic susceptibility, respectively. Then, the spectral curves and the second derivative calculations were used to determine hematite and goethite contents, as well as soil color after conversion into tristimulus values. Hematite and goethite contents were also obtained by x-ray diffractometry, and soil color was also defined in the field (Munsell color chart). The values for the isomorphic substitution of iron by aluminum and the degree of redness were also determined. DRS can be used to estimate hematite and goethite contents, as well as the color of Cerrado soils in the state of Goiás. The spectral signature can point out the main soil properties related to the contents of organic matter, iron oxides, kaolinite, and gibbsite. The magnetic signature, characteristic of soils rich in iron oxides (hematite and goethite), shows the predominance of pedogenic minerals.

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Procedures using diffuse reflectance spectroscopy for estimating hematite and goethite in Oxisols of São Paulo, Brazil

Cited by 35 publications

References 28 publications

Magnetic Susceptibility of Soil to Differentiate Soil Environments in Southern Brazil

Magnetic Susceptibility of Soil to Differentiate Soil Environments in Southern Brazil

Cor do solo na identificação de áreas com diferentes potenciais produtivos e qualidade de café

Magnetic and spectral signatures of Cerrado soils in the state of Goiás, Brazil

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