Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Shadow analysis: A method for measuring soil surface roughness
Year:2008
Research Areas
  • Chemistry,
  • Agriculture
Information
Abstract
Erosion potential and the effects of tillage can be evaluated from quantitative descriptions of soil surface roughness. The present study herefore aimed to fill the need for a reliable, low-cost and convenient method to measure that parameter. Based on the interpretation of micro-topographic shadows, this new procedure is primarily designed for use in the field after tillage. The principle underlying shadow analysis is the direct relationship between soil surface roughness and the shadows cast by soil structures under fixed sunlight conditions. The results obtained with this method were compared to the statistical indexes used to interpret field readings recorded by a pin meter. The tests were conducted on 4-m2 sandy loam and sandy clay loam plots divided into 1-m2 subplots tilled with three different tools: chisel, tiller and roller. The highly significant correlation between the statistical indexes and shadow analysis results obtained in the laboratory as well as in the field for all the soil¿tool combinations proved that both variability (CV) and dispersion (SD) are accommodated by the new method. This procedure simplifies the interpretation of soil surface roughness and shortens the time involved in field operations by a factor ranging from 12 to 20.
International
Si
JCR
Si
Title
GEODERMA
ISBN
0016-7061
Impact factor JCR
1,898
Impact info
Volume
146
Journal number
0
From page
201
To page
208
Month
JULIO
Ranking
Participants
  • Participante: S Barrington (McGill University)
  • Autor: Antonio Saa Requejo (UPM)
  • Autor: Ana Maria Tarquis Alfonso (UPM)
  • Autor: Rosario García Moreno (UPM)
  • Autor: M. Cruz Diaz Alvarez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Valorización de Recursos
  • Departamento: Edafología
  • Departamento: Matemática Aplicada a la Ingeniería Agronómica
  • 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)
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)