Integration of mid-infrared spectroscopy and geostatistics in the assessment of soil spatial variability at landscape level

Cobo, Juan Guillermo; Dercon, Gerd; Yekeye, Tsitsi; Chapungu, Lazarus; Kadzere, Chengetai; Murwira, Amon; Delve, Robert J.; Cadisch, Georg

doi:10.1016/j.geoderma.2010.06.013

Cited by 63 publications

(33 citation statements)

References 46 publications

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“…Based on the results of semivariogram elements, it was observed that K, with 66 150 m, had the maximum impact domain, and CaCO 3 , with 11 190 m, had the smallest impact domain among the elements studied (Table 2). The corresponding results in Cobo et al (2010), for the smallest and largest impact ranges, were for sand (506 m) and clay (695 m) respectively, which were very low in comparison to our results. If we look at the range of K (66 150 m), it can be concluded that the spatial structure of this para- meter, in comparison with that of other elements (e. g. lag distance), was much larger.…”

Section: Results Of Spatial Statistical Analysiscontrasting

confidence: 99%

“…For example, CaCO 3 and pH conformed to an exponential model, while EC, OC and silt conformed to a Gaussian model. The same results are reported in Cobo et al (2010), in which soil properties clay, silt, sand and pH were very well represented by spherical modelling, with variable parameters depending on the property and the area under evaluation. Moreover, Bitencourt et al (2016) reported that physical properties of soil, including sand, clay and silt, followed the Gaussian model.…”

Section: Results Of Spatial Statistical Analysissupporting

confidence: 81%

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Spatial variation analysis of soil properties using spatial statistics: a case study in the region of Sabalan mountain, Iran

Ghorbani¹,

Moghaddam²,

Majd³

et al. 2018

ecomont

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Detailed soil information and soil maps are essential for the monitoring, management, conservation and restoration of natural ecosystems, rangelands and protected areas. Semi-automated mapping methods have advantages over conventional ones, and the selection of the best interpolation method and accurately predicted soil property maps are important for effective management and conservation strategies. Spatial soil information is important also for managing natural resources, predicting soil properties, improving sampling designs in future agro-ecological studies, and for assessing protected areas. We investigated the suitability of different interpolation methods for spatial variability predictions and for studying various soil properties within a rangeland ecosystem and the Sabalan National Natural Monument protected area, in northwestern Iran. Soil samples were collected randomly from a depth of 0-30 cm, and various properties were measured in the laboratory. Normality of data was examined and spatial statistics was applied to determine spatial variation of the properties. Interpolation methods of inverse distance weighting, Kriging and Cokriging were applied and compared for suitability. Results were evaluated using crossvalidation. The results of applying spatial statistics demonstrated that soil properties had spatial dependence; Cokriging emerged as the most accurate technique overall.

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Section: Results Of Spatial Statistical Analysiscontrasting

confidence: 99%

Section: Results Of Spatial Statistical Analysissupporting

confidence: 81%

Spatial variation analysis of soil properties using spatial statistics: a case study in the region of Sabalan mountain, Iran

Ghorbani¹,

Moghaddam²,

Majd³

et al. 2018

ecomont

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“…Se evidencia que con un bajo número de muestras en los modelos de calibración el alcance varía significativamente del resto. En general, este comportamiento es reportado por Cobo et al (2010) y Ramírez-López et al (2014), donde se exponen las ventajas del uso de los modelos espectrales en la elaboración de mapas digitales.…”

Section: Colombia Forestalunclassified

“…Cobo et al (2010) y Ramírez-López et al (2014) reportan comportamientos similares, donde un bajo número afecta el análisis espacial, ya que la densidad de muestreo cambia y la correspondencia entre mapas también. En la figura 5 se evidencia que los mapas elaborados con los grupos de 200 y 500 muestras presentan mayor semejanza al mapa de datos medidos para el contenido de arcilla en ambos horizontes.…”

Section: Colombia Forestalunclassified

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Evaluación De Textura Del Suelo Con Espectroscopía De Infrarrojo Cercano en Un Oxisol De Colombia

et al. 2016

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Técnicas como la espectroscopía de infrarrojo cercano (NIR) se pueden utilizar para identificarlas clases y propiedades de los suelos con buena precisión. El objetivo de este estudio fue calibrar modelos para predecir el contenido de arcilla, limo y arena de un Typic Hapludox por espectroscopia NIR. El estudio se realizó en la Estación Experimental de Carimagua situado en el municipio de Puerto Gaitán, Meta, Colombia. Se utilizó un diseño de red rígida, se tomaron 1200 muestras en una superficie aproximada de 5100 ha. La elaboración de los modelos se hizo mediante regresión por mínimos cuadrados parciales. Se obtuvieron modelos con baja representatividad para contenidos de arena y limo, con valores de R2 (0.41 y 0.34, respectivamente). El modelo para el contenido de arcilla mostró un alto R2 (0.76). Para la arcilla fue posible la elaboración de mapas digitales y espectro-digitales similares. Los resultados encontrados para el contenido de arcilla indican que los análisis de laboratorio se pueden sustituir, en gran parte, por los modelos espectrales. En el caso de la arena y el limo, sería conveniente mejorar el modelo para que, en el futuro, los análisis de laboratorio puedan ser sustituidos para esta clase de suelo.

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Chemical, physical‐temporal and spatial changes in 25‐year‐old mine soils in Southeast Ohio

Demyan

Smeck

2021

Land Degrad Dev

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Reclaimed surface coal mines afford an opportunity to study initial pedogenic processes. This study sought to determine pedogenic processes active in a topsoiled* surface mine over 25 years. Soils were taken at 108 points from three grids in 1979 (1 year) and 2004 (25 years post-reclamation) across a 20 ha watershed. The upper darkened portion of the replaced soil (^A1, ca. 0-5 cm), lower portion of the replaced soil (^A2, ca. 5-15 cm), and spoil (^2C) were sampled. Exchangeable Ca 2+ increased from 4.3 cmol c kg À1 in 1979 to 8.2 cmol c kg À1 in 2004, and exchangeable Mg 2+ increased from 2.5 to 3.3 cmol c kg À1 . Soil organic carbon (SOC) increased from 0.59% to 4.05% providing evidence for humification and cycling of basic cations.SOC increases and structural development decreased bulk densities from 1.70 to 0.99 g cm À3 in the ^A1 and 1.70 to 1.24 g cm À3 in the ^A2. pH decreased in all horizons. In ^2C horizons, total sulfur decreased from 0.39% to 0.13% and electrical conductivity 3.34 dS m À1 to 1.01 dS m À1 , indicating probable pyrite oxidation and salt leaching. Soils classified as Anthroportic/Anthrodensic Udorthents, as three representative pedons lacked cambic horizons. Mine soil variograms indicated higher spatial dependency in ^A1 and ^A2 horizons in 2004 than 1979 (decreasing nugget: sill ratios), whereas ^2C horizons had lower spatial dependencies in 2004. This suggests that surface horizons are more influenced by soil forming factors than spoil, which is more influenced by 'random' conditions of reclamation and not in equilibrium.

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Integration of mid-infrared spectroscopy and geostatistics in the assessment of soil spatial variability at landscape level

Cited by 63 publications

References 46 publications

Spatial variation analysis of soil properties using spatial statistics: a case study in the region of Sabalan mountain, Iran

Spatial variation analysis of soil properties using spatial statistics: a case study in the region of Sabalan mountain, Iran

Evaluación De Textura Del Suelo Con Espectroscopía De Infrarrojo Cercano en Un Oxisol De Colombia

Chemical, physical‐temporal and spatial changes in 25‐year‐old mine soils in Southeast Ohio

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