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Memorias de investigación
Artículos en revistas:
Fractal scaling of apparent soil moisture estimated from vertical planesof Vertisol pit images
Año:2012
Áreas de investigación
  • Matemáticas,
  • Ciencias naturales y ciencias de la salud,
  • Ciencias de la tierra,
  • Ciencia del suelo
Datos
Descripción
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.
Internacional
Si
JCR del ISI
Si
Título de la revista
Journal of Hydrology
ISSN
0022-1694
Factor de impacto JCR
2,656
Información de impacto
Datos JCR del año 2011
Volumen
452-453
DOI
doi.org/10.1016/j.jhydrol.2012.05.058
Número de revista
Desde la página
205
Hasta la página
212
Mes
SIN MES
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Participantes
  • Autor: R. Cumbrera
  • Autor: Ana Maria Tarquis Alfonso (UPM)
  • Autor: Gabriel Gasco Guerrero (UPM)
  • Autor: H. Millán
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • 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
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