SciELO - Scientific Electronic Library Online

vol.41 issue2Uso de sensores remotos para la detección de eventos de transporte eólico de sedimentos hacia ambientes marinos en PatagoniaRelacion entre mortalidad y temperaturas extremas en Buenos Aires y Rosario author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO



On-line version ISSN 1850-468X


CURTO, Lucía et al. Calibración de datos observados de contenido de agua en el suelo con sensores capacitivos. Meteorologica [online]. 2016, vol.41, n.2, pp.49-63. ISSN 1850-468X.

Soil moisture or soil water content is an important variable for Meteorology, Agronomy, Hydrology and Soil Science. In Argentina, measurements of soil moisture are both spatially and temporally sparsely distributed. There are different methodologies of measuring soil moisture content like the gravimetric, neutron and dielectric methods, among others. During the growing season 2012-2013, soil moisture measurements were performed in a soybean crop field. The aim of this paper is to calibrate observed capacitive data with gravimetric and neutron methods as well as to build a high temporal resolution soil moisture database. Linear functions were used to calibrate data for each depth of measurement with the exception of the two deepest levels where retrieved functions have a poor data fitting. The quality of the observed data and the calibration functions have direct impact on the capacitive sensor errors. Gravimetric, neutron and capacitive soil moisture measurements were interpolated with the Kriging method to construct the high resolution database. Variability of soil water content was observed at different soil depths due to precipitation and plant water uptake.

Keywords : Typical Argiudo; Neutron moisture meter; Linear calibration function.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License