Development of a novel image analysis procedure to quantify biological porosity and illuvial clay in large soil thin sections

Sauzet, Ophélie; Cammas, Cécilia; Gilliot, Jean Marc; Bajard, Manon; Montagne, David

doi:10.1016/j.geoderma.2017.01.004

Cited by 24 publications

(28 citation statements)

References 62 publications

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“…() and twice that obtained by Sauzet et al . (), depending on the lens used (2× or 10×). This means that the mosaics produced with different magnifications and light sources from whole soil thin sections provide more detail for the identification and demarcation of soil features than images obtained with current flatbed scanners (Jangorzo et al ., ; Bryk, ).…”

Section: Resultsmentioning

confidence: 99%

“…The FOIs or classes in mosaics or composite images were evaluated with ERDAS by calculating confusion matrices. They provide a comparison between the micromorphologist-observed (in columns or producer's accuracy) and image analysis-predicted (in rows or user's accuracy) classes (Sauzet et al, 2017). In addition, we used a Kappa coefficient criterion to assess the classification (user's and producer's accuracy) of the thematic maps.…”

Section: Assessment Of Accuracymentioning

confidence: 99%

“…Recently, other authors have formed high-resolution mosaics in large soil thin sections of 1643 mm 2 (Dorronsoro, 2015) or of 5575 mm 2 with high spatial resolution of 5.3 microns (Sauzet et al, 2017). Nevertheless, quantitative spatial analysis might be limited because the images are not referenced to a coordinate system.…”

Section: Introductionmentioning

confidence: 99%

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Thematic micro‐maps of soil components using high‐resolution spatially referenced mosaics from whole soil thin sections and image analysis

Gutiérrez-Castorena

González-Vargas

et al. 2017

European J Soil Science

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Summary In the quantification and analysis of the distribution of soil basic components, factors such as spatial resolution, scales of observation and analytical techniques used to interpret digital images of microscopic platforms are critical to obtain reproducible results. In addition, individual or discrete images, sometimes with high spatial resolution, distort features or basic components when zooming in or out, which limits their classification. This research proposes the use of micromorphological tools, spatially referenced mosaics with high resolution, image analysis and composite images to elaborate thematic maps of soil components. Therefore, we created mosaics with sequential digital images from soil thin sections (up to 3850 mm2) of different diagnostic horizons, with different magnifications (2×, 10× and 20×) and light sources. The mosaics (between 0.25 and 2.6 μm2 per pixel, and between 2 and 8 GB file size) were processed by image analysis (segmentation, supervised classification and accuracy assessments) for delimiting their basic soil components from composite images and with spatial operators to elaborate thematic maps at the microscopic level. The RGB (red, green, blue) brightness values of each soil component with different light sources enabled us to identify and quantify size classes of aggregates, voids, pedofeatures and organic matter with different degrees of decomposition at a high level of precision (up to 99% overall accuracy). It was also possible to develop good‐quality thematic maps of such components from high‐resolution spatially referenced mosaics and composite images Thematic maps of soil components can be explored without losing their spatial reference and analysed on multiple scales from a whole soil thin section. Highlights Micromorphology and digital cartography to develop thematic maps of soil components High spatial resolution mosaics from thin sections and image analysis were used for mapping RGB brightness values of different light sources facilitated mapping of soil features Accurate maps enabled quantification and analysis of spatial relations of soil components

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Section: Resultsmentioning

confidence: 99%

Section: Assessment Of Accuracymentioning

confidence: 99%

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Thematic micro‐maps of soil components using high‐resolution spatially referenced mosaics from whole soil thin sections and image analysis

Gutiérrez-Castorena

González-Vargas

et al. 2017

European J Soil Science

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“…After the application of organic manure, the clay content in the various treatments T1 (18.18 g.kg-1), T2 (18.46 g.kg -1 ) and T3 (18.89 g.kg -1 ), varied on average by 32.7% compared to the control soil T0 (8.07 g.kg -1 ). Indeed, sufficiently high concentrations of organic matter significantly limits or even stop the soil leaching process [14].…”

Section: Discussionmentioning

confidence: 99%

Valorization of Agro-industrial Bio-waste from Seed Cotton in the Restoration of Degraded Soils in the District of Korhogo in Northern Côte d'Ivoire

Alphonse

Martial

Franck

et al. 2020

JEAI

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The objective of this study was to restore degraded soils with organic manure from agro-industrial bio-waste (seed cotton) in the Department of Korhogo in Northern Côte d'Ivoire. The research plots were set up in a Fisher block experimental design with four treatments, namely T0 (control soil), T1 (bio-waste at 1 month of biodegradation), T2 (bio-waste at 3 months of degradation) and T3 (bio-waste at 6 months of degradation). On each of the treatments, bio-waste was applied using spreading technique and the variety F8128 of corn was sown to evaluate the agronomic performance of bio-waste. Four agronomic parameters were measured: Plant height, collar diameter, ear weight and grain yield. Likewise, the physical, physico-chemical and chemical analyses of the soil were performed before sowing and after corn harvesting. The work was carried out from 2018 to 2019 in the district of Korhogo in Northern Côte d'Ivoire. Our study shows significant increase in corn grain yield in each of the treatments (T1 = 2.26 T/ha; T2 = 1.98 T/ha and T3 = 1.48 T/ha) compared to the control (T0 = 1 T/ha). Laboratory analyses of the soil and bio-waste indicate a very low level of organic matter (MO varies from 0.55 to 0.77 g.kg-1) in the soil of the experimental plot and good mineralization of the organic matter in the bio-waste regardless of the decomposition time (C/N varies from 12 to 13). After application of the bio-waste, the organic matter content (T3 = 10.28 g.kg-1; T1 = 23.61 g.kg-1 and T2 = 23.63 g.kg-1) and nitrogen content (T3 = 0.69 g.kg-1; T1 = 1.16 g.kg-1 and T2 = 1.21 g.kg-1) of the various treatments significantly increased compared to the control soil (MO = 0.66 g.kg-1 and N = 0.013 g.kg-1). The pH level increased where the organic manure was applied becoming slightly acidic (5.7 to 6.4) compared to the control that had strong acidic reaction (4.8 to 5.1). Based on our study, it is evident that organic fertilizer has positive effect on corn yield. The seed cotton bio-waste has had an improving effect on the degraded soil of in Northern Côte d’Ivoire.

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“…Many works have attested to soil feature characterization on thin sections as a significantly contributing tool for the understanding of pedogenetic processes, such as mineral weathering, organic matter degradation, soil structure dynamics, or particle-leaching (Stoops et al, 2010). As non-destructive methods are required, advances in image analysis procedures or the use of other techniques such as X-ray Computed Tomography (CT) have appeared over recent decades, becoming powerful ways of visualizing and quantifying soil structure (Taina et al, 2008;Sauzet et al, 2017). The use of the CT imaging method has already led to advances in our understanding of the representation and evolution of the soil structure itself, in the knowledge of structure-related pedological processes, as well as in the modelling of structural evolution (Vogel et al, 2010;Sammartino et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A micromorphological analysis for quantifying structure descriptors in a young constructed technosol

Watteau¹,

Jangorzo²,

Schwartz³

2019

BSGM

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Development of a novel image analysis procedure to quantify biological porosity and illuvial clay in large soil thin sections

Cited by 24 publications

References 62 publications

Thematic micro‐maps of soil components using high‐resolution spatially referenced mosaics from whole soil thin sections and image analysis

Thematic micro‐maps of soil components using high‐resolution spatially referenced mosaics from whole soil thin sections and image analysis

Valorization of Agro-industrial Bio-waste from Seed Cotton in the Restoration of Degraded Soils in the District of Korhogo in Northern Côte d'Ivoire

A micromorphological analysis for quantifying structure descriptors in a young constructed technosol

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