3D Soil Images Structure Quantification using Relative Entropy

Tarquis Alfonso, Ana Maria; López-Gonzalez-Nieto, Pilar y Bird, N.R.A. (2011). 3D Soil Images Structure Quantification using Relative Entropy. En: "8th EGU General Assembly, EGU 2011", 03/04/2011 - 08/04/2011, Viena, Austria. p. 14058.


Título: 3D Soil Images Structure Quantification using Relative Entropy
  • Tarquis Alfonso, Ana Maria
  • López-Gonzalez-Nieto, Pilar
  • Bird, N.R.A.
Tipo de Documento: Ponencia en Congreso o Jornada (Otro)
Título del Evento: 8th EGU General Assembly, EGU 2011
Fechas del Evento: 03/04/2011 - 08/04/2011
Lugar del Evento: Viena, Austria
Título del Libro: Geophysical Research Abstracts of 8th EGU General Assembly
Fecha: 2011
Volumen: 14
Escuela: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Departamento: Matemática Aplicada a la Ingeniería Agronómica [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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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.

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ID de Registro: 13427
Identificador DC: http://oa.upm.es/13427/
Identificador OAI: oai:oa.upm.es:13427
URL Oficial: http://www.geophysical-research-abstracts.net
Depositado por: Memoria Investigacion
Depositado el: 23 Oct 2012 10:14
Ultima Modificación: 21 Abr 2016 12:44
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