Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Soil Surface Roughness through Image Analysis
Year:2011
Research Areas
  • Physics chemical and mathematical,
  • Engineering
Information
Abstract
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 quantified 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.
International
Si
Congress
AGU Fall Meeting 2011
960
Place
San Francisco, USA
Reviewers
Si
ISBN/ISSN
0096-3941
Start Date
05/12/2011
End Date
08/12/2011
From page
626
To page
626
AGU Fall Meeting Abstracts Vol.C
Participants
  • Autor: Ana Maria Tarquis Alfonso (UPM)
  • Autor: Antonio Saa Requejo (UPM)
  • Autor: José Luis Valencia Delfa (UPM)
  • Autor: Ruben Moratiel Yugueros (UPM)
  • Autor: A. Paz-Gonzalez (University of Coruña, La Coruña, Spain)
Research Group, Departaments and Institutes related
  • 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: Producción Vegetal: Fitotecnia
  • 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)
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