Thresholding Soil Surface Images

Tarquis Alfonso, Ana Maria; Valencia Delfa, José Luis; Saa Requejo, Antonio y Paz González, Antonio (2011). Thresholding Soil Surface Images. En: "8th EGU General Assembly, EGU 2011", 03/04/2011 - 08/04/2011, Viena, Austria. p. 13817.

Descripción

Título: Thresholding Soil Surface Images
Autor/es:
  • Tarquis Alfonso, Ana Maria
  • Valencia Delfa, José Luis
  • Saa Requejo, Antonio
  • Paz González, Antonio
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
Materias:
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

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (39kB) | Vista Previa

Resumen

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

Más información

ID de Registro: 13428
Identificador DC: http://oa.upm.es/13428/
Identificador OAI: oai:oa.upm.es:13428
URL Oficial: http://www.geophysical-research-abstracts.net
Depositado por: Memoria Investigacion
Depositado el: 23 Oct 2012 10:07
Ultima Modificación: 21 Abr 2016 12:45
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM