Memorias de investigación
Ponencias en congresos:
Thresholding Soil Surface Images
Año:2011
Áreas de investigación
  • Física química y matemáticas,
  • Ingenierías
Datos
Descripción
Soil erosion is a complex phenomenon involving the detachment and transport of soil particles, storage and runoff of rainwater, and infiltration. The relative magnitude and importance of these processes depends on several factors being one of them surface micro-topography, usually quanti[U+FB01]ed trough soil surface roughness (SSR). SSR greatly affects surface sealing and runoff generation, yet little information is available about the effect of roughness on the spatial distribution of runoff and on flow concentration. The methods commonly used to measure SSR involve measuring point elevation using a pin roughness meter or laser, both of which are labor intensive and expensive. Lately a simple and inexpensive technique based on percentage of shadow in soil surface image has been developed to determine SSR in the field in order to obtain measurement for wide spread application. One of the first steps in this technique is image de-noising and thresholding to estimate the percentage of black pixels in the studied area. In this work, a series of soil surface images have been analyzed applying several de-noising wavelet analysis and thresholding algorithms to study the variation in percentage of shadows and the shadows size distribution
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
13817
Hasta la página
13817
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