Thresholding Soil Surface Images

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

Description

Title: Thresholding Soil Surface Images
Author/s:
  • Tarquis Alfonso, Ana Maria
  • Valencia Delfa, José Luis
  • Saa Requejo, Antonio
  • Paz González, Antonio
Item Type: Presentation at Congress or Conference (Other)
Event Title: 8th EGU General Assembly, EGU 2011
Event Dates: 03/04/2011 - 08/04/2011
Event Location: Viena, Austria
Title of Book: Geophysical Research Abstracts of 8th EGU General Assembly
Date: 2011
Subjects:
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Matemática Aplicada a la Ingeniería Agronómica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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 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

More information

Item ID: 13428
DC Identifier: http://oa.upm.es/13428/
OAI Identifier: oai:oa.upm.es:13428
Official URL: http://www.geophysical-research-abstracts.net
Deposited by: Memoria Investigacion
Deposited on: 23 Oct 2012 10:07
Last Modified: 21 Apr 2016 12:45
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