Memorias de investigación
Ponencias en congresos:
3D Soil Images Structure Quantification using Relative Entropy.
Año:2012

Áreas de investigación
  • Matemáticas,
  • Ciencias naturales y ciencias de la salud,
  • Ciencias de la tierra,
  • Agricultura

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
E.G.U. 2012 9th General Assembly.
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
1029-7006
DOI
Fecha inicio congreso
22/04/2012
Fecha fin congreso
27/04/2012
Desde la página
1
Hasta la página
1
Título de las actas
Geophysical Research Abstracts Vol. 14

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)