Separation of Soil Macropore Types in Three-Dimensional X-Ray Computed Tomography Images Based on Pore Geometry Characteristics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F19%3A79233" target="_blank" >RIV/60460709:41210/19:79233 - isvavai.cz</a>

Výsledek na webu

<a href="https://acsess.onlinelibrary.wiley.com/doi/full/10.2136/vzj2018.09.0170" target="_blank" >https://acsess.onlinelibrary.wiley.com/doi/full/10.2136/vzj2018.09.0170</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2136/vzj2018.09.0170" target="_blank" >10.2136/vzj2018.09.0170</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Separation of Soil Macropore Types in Three-Dimensional X-Ray Computed Tomography Images Based on Pore Geometry Characteristics

Popis výsledku v původním jazyce

In structured soils, earthworm burrows, root channels, shrinkage cracks, and interaggregate paces form complex macropore networks. Depending on the type and morphological properties, each macropore surface type is coated with specific organo mineral comounds, differently affecting sorption and mass exchange during preferential flow and turnover processes. For a quantitative, macropore type specific analysis using X-ray computed tomography (XRCT) with subsequent three dimensional (3D) image analysis, a discrimination of biopores from cracks and interaggregate spaces is necessary. We developed a method that allows separating biopores from other larger macropores in 3D images from XRCT of intact soil cores. An image processing workflow using the MAVI (Modular Algorithms for Volume Images) software framework ToolIP (Tool for Image Processing) was created to handle XRCT 3D images.

Název v anglickém jazyce

Separation of Soil Macropore Types in Three-Dimensional X-Ray Computed Tomography Images Based on Pore Geometry Characteristics

Popis výsledku anglicky

In structured soils, earthworm burrows, root channels, shrinkage cracks, and interaggregate paces form complex macropore networks. Depending on the type and morphological properties, each macropore surface type is coated with specific organo mineral comounds, differently affecting sorption and mass exchange during preferential flow and turnover processes. For a quantitative, macropore type specific analysis using X-ray computed tomography (XRCT) with subsequent three dimensional (3D) image analysis, a discrimination of biopores from cracks and interaggregate spaces is necessary. We developed a method that allows separating biopores from other larger macropores in 3D images from XRCT of intact soil cores. An image processing workflow using the MAVI (Modular Algorithms for Volume Images) software framework ToolIP (Tool for Image Processing) was created to handle XRCT 3D images.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

40104 - Soil science

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Vadose Zone Journal

ISSN

1539-1663

e-ISSN

1539-1663

Svazek periodika

18

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

1-13

Kód UT WoS článku

000470241000001

EID výsledku v databázi Scopus

2-s2.0-85067260758