Memorias de investigación
Ponencias en congresos:
3D Soil Images Structure Quantification using Relative Entropy
Año:2011
Áreas de investigación
  • Física química y matemáticas,
  • Ingenierías
Datos
Descripción
Soil voids manifest the cumulative effect of local pedogenic processes and ultimately influence soil behavior - especially as it pertains to aeration and hydrophysical properties. Because of the relatively weak attenuation of X-rays by air, compared with liquids or solids, non-disruptive CT scanning has become a very attractive tool for generating three-dimensional imagery of soil voids. One of the main steps involved in this analysis is the thresholding required to transform the original (greyscale) images into the type of binary representation (e.g., pores in white, solids in black) needed for fractal analysis or simulation with Lattice?Boltzmann models (Baveye et al., 2010). The objective of the current work is to apply an innovative approach to quantifying soil voids and pore networks in original X-ray CT imagery using Relative Entropy (Bird et al., 2006; Tarquis et al., 2008). These will be illustrated using typical imagery representing contrasting soil structures. Particular attention will be given to the need to consider the full 3D context of the CT imagery, as well as scaling issues, in the application and interpretation of this index.
Internacional
Si
Nombre congreso
European Geosciences Union General Assembly (EGU 2011)
Tipo de participación
960
Lugar del congreso
Viena, Austria
Revisores
Si
ISBN o ISSN
1607-7962
DOI
Fecha inicio congreso
03/04/2011
Fecha fin congreso
08/04/2011
Desde la página
14058
Hasta la página
14058
Título de las actas
8th EGU General Assembly. Geophysical Research Abstracts, 13, 8656 (2011). [http://www.geophysical-research-abstracts.net]
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM)
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica