Morphological Functions with Parallel Sets for the Pore Space of X-ray CT Images of Soil Columns

San Jose Martinez, Fernando ORCID: https://orcid.org/0000-0002-6352-2530, Muñoz Ortega, Francisco Javier, Caniego Monreal, Francisco and Peregrina Alonso, Fernando ORCID: https://orcid.org/0000-0002-7621-7455 (2014). Morphological Functions with Parallel Sets for the Pore Space of X-ray CT Images of Soil Columns. "Pure And Applied Geophysics" (n. 9); pp. 1-15. ISSN 0033-4553. https://doi.org/10.1007/s00024-014-0928-2.

Description

Title: Morphological Functions with Parallel Sets for the Pore Space of X-ray CT Images of Soil Columns
Author/s:
Item Type: Article
Título de Revista/Publicación: Pure And Applied Geophysics
Date: September 2014
ISSN: 0033-4553
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Matemática Aplicada
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[thumbnail of INVE_MEM_2014_176132.pdf]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

During the last few decades, new imaging techniques like X-ray computed tomography have made available rich and detailed information of the spatial arrangement of soil constituents, usually referred to as soil structure. Mathematical morphology provides a plethora of mathematical techniques to analyze and parameterize the geometry of soil structure. They provide a guide to design the process from image analysis to the generation of synthetic models of soil structure in order to investigate key features of flow and transport phenomena in soil. In this work, we explore the ability of morphological functions built over Minkowski functionals with parallel sets of the pore space to characterize and quantify pore space geometry of columns of intact soil. These morphological functions seem to discriminate the effects on soil pore space geometry of contrasting management practices in a Mediterranean vineyard, and they provide the first step toward identifying the statistical significance of the observed differences.

Funding Projects

Type
Code
Acronym
Leader
Title
Government of Spain
AGL2011/251675
Unspecified
Unspecified
Unspecified

More information

Item ID: 35642
DC Identifier: https://oa.upm.es/35642/
OAI Identifier: oai:oa.upm.es:35642
DOI: 10.1007/s00024-014-0928-2
Official URL: http://link.springer.com/article/10.1007/s00024-01...
Deposited by: Memoria Investigacion
Deposited on: 07 Jul 2015 14:44
Last Modified: 30 Nov 2022 09:00
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM