Conference Paper

Study of maize plants effects in the retrieval of soil moisture using the Interference Pattern GNSS-R technique

Dept. Teor. del Senyal i Comunicacions, Univ. Politec. de Catalunya, Barcelona, Spain
DOI: 10.1109/IGARSS.2010.5651724 Conference: Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Source: OAI


The use of Global Navigation Satellite Signals Reflections (GNSS-R) techniques to retrieve geophysical parameters from surfaces has been increased in the recent years. These techniques have resulted in suitable tools to obtain information about the sea state of oceans, which is very useful to improve the ocean salinity retrieval, and also, information about the soil moisture of lands. The present work focuses on the use of the Interference Pattern Technique (IPT), a particular type of GNSS-R technique, to study vegetation-covered soils. The IPT consists mainly of the measurement of the interference pattern between the GPS direct and reflected signals (the interference power), after they impinge over the ensemble soil surface and vegetation layer. The measured interference signal provides information on the soil moisture of the surface and also, on the vegetation height.

Download full-text


Available from: Xavi Bosch
  • Source
    • "The nature of the interference pattern, formed by the multipath propagation of GNSS signals at L-band, to a large extent depends on the moisture and the surface roughness of the soil, and at the propagation through the forest canopy depends on its moisture and height. Soil moisture with using GNSS receivers is measured mainly on the vertical polarization [3], [4] by means of specially made antennas. "
    [Show abstract] [Hide abstract]
    ABSTRACT: In this paper presents the measurements of the interference pattern of GNSS signals recorded on Right Hand Circular Polarization (RHCP) above the ploughed field, soil covered grass and under forest canopy. In addition, the theoretical models which links the interferometric pattern, recorded Global Navigation Satellite System (GNSS) reciever on RHCP, with the soil moisture and the attenuation of electromagnetic wave in forest canopy is presented. It is shown, that the interference pattern is recorded by GNSS receiver on the RHCP, weakly dependent on the moisture and surface roughness of the soil. At the same time retrieved value of soil moisture has an error of the order of the measured value. The weak dependence of the interference pattern, recorded by the GNSS receiver on the RHCP, from the properties of the underlying surface, for the first time have been used to measure the attenuation coefficient of the forest canopy.
    Full-text · Conference Paper · Jul 2012
  • [Show abstract] [Hide abstract]
    ABSTRACT: In the last decade GNSS-R techniques have started to be used for Earth remote sensing [1-7]. In previous studies, the Interference Pattern Technique (IPT) was used to observe land surfaces using a ground-based instrument: soil moisture over bare soils [8], surface's topography, soil moisture and vegetation height of wheat and barley fields [9], and a maize field (very dense and tall vegetation) [10], and snow height [11]. This work extends previous studies to the observation of the water level in a reservoir. Other GNSS-R techniques have addressed this problem previously, but it is shown that the extremely simple IPT outperforms them.
    No preview · Conference Paper · Jan 2011
  • [Show abstract] [Hide abstract]
    ABSTRACT: GNSS-R techniques are currently being studied to remotely sense a number of geophysical parameters over different types of surfaces [1-6]. The Interference Pattern Technique (IPT) is based on the measurement of the interference pattern of the GPS direct and reflected signals, after reflecting over the surface, as the GPS satellites move. This paper extends previous studies [7-11], in which water level was monitored [7] and land areas were observed retrieving soil moisture, topography and vegetation height for different kinds of crops (wheat, barley and maize) [8-10], to a snowcovered soils studies.
    No preview · Conference Paper · Jan 2011
Show more