Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Fractal scaling of apparent soil moisture estimated from vertical planesof Vertisol pit images
Year:2012
Research Areas
  • Mathematics,
  • Natural sciences and health sciences,
  • Earth sciences,
  • Soil science
Information
Abstract
mage analysis could be a useful tool for investigating the spatial patterns of apparent soil moisture at multiple resolutions. The objectives of the present work were (i) to define apparent soil moisture patterns from vertical planes of Vertisol pit images and (ii) to describe the scaling of apparent soil moisture distribution using fractal parameters. Twelve soil pits (0.70 m long × 0.60 m width × 0.30 m depth) were excavated on a bare Mazic Pellic Vertisol. Six of them were excavated in April/2011 and six pits were established in May/2011 after 3 days of a moderate rainfall event. Digital photographs were taken from each Vertisol pit using a Kodak? digital camera. The mean image size was 1600 × 945 pixels with one physical pixel ?373 ?m of the photographed soil pit. Each soil image was analyzed using two fractal scaling exponents, box counting (capacity) dimension (DBC) and interface fractal dimension (Di), and three prefractal scaling coefficients, the total number of boxes intercepting the foreground pattern at a unit scale (A), fractal lacunarity at the unit scale (?1) and Shannon entropy at the unit scale (S1). All the scaling parameters identified significant differences between both sets of spatial patterns. Fractal lacunarity was the best discriminator between apparent soil moisture patterns. Soil image interpretation with fractal exponents and prefractal coefficients can be incorporated within a site-specific agriculture toolbox. While fractal exponents convey information on space filling characteristics of the pattern, prefractal coefficients represent the investigated soil property as seen through a higher resolution microscope. In spite of some computational and practical limitations, image analysis of apparent soil moisture patterns could be used in connection with traditional soil moisture sampling, which always renders punctual estimates.
International
Si
JCR
Si
Title
Journal of Hydrology
ISBN
0022-1694
Impact factor JCR
2,656
Impact info
Datos JCR del año 2011
Volume
452-453
doi.org/10.1016/j.jhydrol.2012.05.058
Journal number
From page
205
To page
212
Month
SIN MES
Ranking
Participants
  • Autor: R. Cumbrera
  • Autor: Ana Maria Tarquis Alfonso (UPM)
  • Autor: Gabriel Gasco Guerrero (UPM)
  • Autor: H. Millán
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Valorización de Recursos
  • Centro o Instituto I+D+i: Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios Medioambientales (CEIGRAM)
  • Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)